---
title: "AI research: top topics, institutions and countries"
description: "In the last 30 days (2026-09-27 to 2026-10-26), 1,124 papers were published in the 24 tracked AI journals (as indexed by OpenAlex). The most frequent keywords were “large language models” (70), “graph neural networks” (38) and “multimodal fusion” (29)."
url: https://scholar4ai.com/categories/ai
markdown_url: https://scholar4ai.com/categories/ai.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "In the last 30 days (2026-09-27 to 2026-10-26), 1,124 papers were published in the 24 tracked AI journals (as indexed by OpenAlex)."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T14:32:25+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# AI research rankings

Papers in the 24 tracked AI journals, window 2026-09-27 – 2026-10-26 (30 days). Keywords, institutions, web domains and countries are ranked by paper count.

Latest monthly report: https://scholar4ai.com/reports/2026-09.md (all months: https://scholar4ai.com/reports.md)

- Papers (30 days): 1,124
- Papers (last 7 days): 80
- Journals: 24
- Institutions: 1,176
- Countries: 74
- Web domains: 1,103

## Key findings

- In the last 30 days (2026-09-27 to 2026-10-26), 1,124 papers were published in the 24 tracked AI journals (as indexed by OpenAlex).
- The most frequent keywords were “large language models” (70), “graph neural networks” (38) and “multimodal fusion” (29).
- The institutions with the most papers were Chinese Academy of Sciences (30), Tsinghua University (25) and University of Electronic Science and Technology of China (22).
- China was involved in 63% of the papers (712), followed by United States (55) and India (50).
- Among institution web domains, .edu.cn appeared on 61% of the papers.
- The most-mentioned equations and models were Scaled dot-product attention (Transformer) (175), Convolutional neural network (CNN) (99) and Graph neural network (graph convolution) (99).
- The most-mentioned kinds of data were Image classification benchmarks (58), Optimization benchmark instances (40) and Object detection and segmentation benchmarks (24); the most-mentioned datasets were OR-Library (38), CIFAR-10 / CIFAR-100 (29) and ImageNet (29).

## Papers per day

*Papers per publication date*

| Date | Papers |
|---|---:|
| 2026-09-27 | 15 |
| 2026-09-28 | 36 |
| 2026-09-29 | 42 |
| 2026-09-30 | 56 |
| 2026-10-01 | 366 |
| 2026-10-02 | 14 |
| 2026-10-03 | 35 |
| 2026-10-04 | 4 |
| 2026-10-05 | 21 |
| 2026-10-06 | 34 |
| 2026-10-07 | 40 |
| 2026-10-08 | 34 |
| 2026-10-09 | 44 |
| 2026-10-10 | 25 |
| 2026-10-11 | 13 |
| 2026-10-12 | 29 |
| 2026-10-13 | 36 |
| 2026-10-14 | 50 |
| 2026-10-15 | 41 |
| 2026-10-16 | 24 |
| 2026-10-17 | 46 |
| 2026-10-18 | 10 |
| 2026-10-19 | 29 |
| 2026-10-20 | 22 |
| 2026-10-21 | 21 |
| 2026-10-22 | 13 |
| 2026-10-23 | 20 |
| 2026-10-24 | 4 |
| 2026-10-25 | 0 |
| 2026-10-26 | 0 |

## Growing lately (Jul 2026–Sep 2026 vs Oct 2023–Jun 2026)

*Papers in Jul 2026–Sep 2026 beyond what the keyword's share in Oct 2023–Jun 2026 predicts*

| Keyword | Papers per month, Oct 23 – Oct 26* | Papers Jul 2026–Sep 2026 | vs. earlier share |
|---|---|---:|---:|
| [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 8, 3, 2, 12, 6, 9, 13, 19, 15, 18, 30, 17, 22, 32, 39, 54, 54, 51, 57, 70, 66, 80, 82, 62, 66, 89, 100, 152, 84, 125, 126, 120, 141, 97, 105, 96, 55 | 298 | +134 |
| Mamba | 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 3, 3, 3, 7, 2, 4, 13, 12, 12, 18, 23, 10, 15, 14, 25, 32, 22, 14, 32, 33, 30, 25, 32, 24, 9 | 81 | +51 |
| vision-language models | 2, 1, 2, 3, 1, 0, 3, 1, 3, 5, 7, 9, 3, 7, 6, 12, 10, 8, 11, 13, 15, 21, 14, 16, 18, 17, 26, 44, 35, 32, 31, 32, 29, 30, 22, 26, 17 | 78 | +39 |
| mixture of experts | 2, 0, 0, 1, 2, 2, 0, 0, 2, 4, 0, 0, 0, 1, 5, 8, 5, 2, 5, 2, 8, 8, 5, 7, 8, 10, 11, 22, 8, 15, 14, 10, 14, 19, 20, 12, 10 | 51 | +35 |
| diffusion models | 2, 3, 4, 4, 5, 3, 5, 6, 6, 9, 8, 8, 10, 11, 16, 18, 16, 18, 19, 22, 31, 30, 23, 22, 30, 28, 39, 71, 26, 34, 48, 42, 33, 37, 28, 28, 17 | 93 | +35 |

More: https://scholar4ai.com/trends.md

## Most-cited papers of the past three years

*Most-cited papers published since 2023-10-26 (citations counted by OpenAlex)*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 395 | 21.4 | [A comprehensive survey of loss functions and metrics in deep learning](https://doi.org/10.1007/s10462-025-11198-7) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2025-04-11 | Juan R. Terven, Diana Margarita Córdova Esparza, Julio-Alejandro Romero-González et al. |
| 2 | 370 | 22.4 | [YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series](https://doi.org/10.1007/s10462-025-11253-3) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2025-06-10 | Ranjan Sapkota, Marco Flores-Calero, Rizwan Qureshi et al. |
| 3 | 272 | 14.7 | [MB-TaylorFormer V2: Improved Multi-Branch Linear Transformer Expanded by Taylor Formula for Image Restoration](https://doi.org/10.1109/tpami.2025.3559891) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2025-04-10 | Zhi Juan Jin, Yuwei Qiu, Kaihao Zhang et al. |
| 4 | 270 | 14.9 | [A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges](https://doi.org/10.1007/s10462-025-11223-9) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2025-04-23 | Jongseon Kim, Hyungjoon Kim, HyunGi Kim et al. |
| 5 | 268 | 19.0 | [AI Agents vs. Agentic AI: A Conceptual taxonomy, applications and challenges](https://doi.org/10.1016/j.inffus.2025.103599) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2025-08-22 | Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee |

More: https://scholar4ai.com/rankings/cited.md



## Top research keywords (top 20)

*Top 20 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Keyword | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 70 | 4 |
| 2 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 38 | 1 |
| 3 | [multimodal fusion](https://scholar4ai.com/keywords/multimodal-fusion.md) | 29 | 0 |
| 4 | [contrastive learning](https://scholar4ai.com/keywords/contrastive-learning.md) | 27 | 0 |
| 5 | [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) | 24 | 2 |
| 6 | [knowledge distillation](https://scholar4ai.com/keywords/knowledge-distillation.md) | 23 | 1 |
| 7 | [federated learning](https://scholar4ai.com/keywords/federated-learning.md) | 21 | 4 |
| 8 | class imbalance | 19 | 1 |
| 8 | vision-language models | 19 | 0 |
| 10 | diffusion models | 18 | 1 |
| 10 | feature selection | 18 | 1 |
| 10 | transformer models | 18 | 2 |
| 13 | interpretability | 15 | 1 |
| 13 | reinforcement learning | 15 | 0 |
| 15 | attention mechanism | 14 | 2 |
| 15 | deep learning | 14 | 2 |
| 15 | domain adaptation | 14 | 1 |
| 15 | retrieval-augmented generation | 14 | 1 |
| 19 | convolutional neural networks | 13 | 1 |
| 20 | computational efficiency | 12 | 1 |

## Top universities and research institutions (top 20)

*Top 20 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Institution | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 30 | 5 |
| 2 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 25 | 4 |
| 3 | [University of Electronic Science and Technology of China](https://scholar4ai.com/institutions/university-of-electronic-science-and-technology-of-china.md) | 22 | 1 |
| 3 | National University of Defense Technology | 22 | 0 |
| 5 | [Beijing Institute of Technology](https://scholar4ai.com/institutions/beijing-institute-of-technology.md) | 21 | 1 |
| 5 | [Wuhan University](https://scholar4ai.com/institutions/wuhan-university.md) | 21 | 0 |
| 7 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 20 | 3 |
| 8 | Harbin Institute of Technology | 19 | 2 |
| 9 | [Beijing Jiaotong University](https://scholar4ai.com/institutions/beijing-jiaotong-university.md) | 17 | 1 |
| 10 | [Southeast University](https://scholar4ai.com/institutions/southeast-university.md) | 16 | 1 |
| 10 | Northeastern University | 16 | 2 |
| 12 | Xidian University | 15 | 0 |
| 13 | Sun Yat-sen University | 13 | 1 |
| 13 | Shanghai Jiao Tong University | 13 | 3 |
| 13 | [Xi'an Jiaotong University](https://scholar4ai.com/institutions/xi-an-jiaotong-university.md) | 13 | 1 |
| 16 | Central South University | 12 | 0 |
| 16 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 12 | 0 |
| 16 | Anhui University | 12 | 0 |
| 16 | Northwestern Polytechnical University | 12 | 0 |
| 16 | Fudan University | 12 | 2 |

## Top institution web domains (top 20)

*Top 20 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Web domain | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | [cas.cn](https://scholar4ai.com/domains/cas.cn.md) | 37 | 5 |
| 2 | [tsinghua.edu.cn](https://scholar4ai.com/domains/tsinghua.edu.cn.md) | 26 | 4 |
| 3 | nudt.edu.cn | 22 | 0 |
| 3 | [uestc.edu.cn](https://scholar4ai.com/domains/uestc.edu.cn.md) | 22 | 1 |
| 3 | [whu.edu.cn](https://scholar4ai.com/domains/whu.edu.cn.md) | 22 | 0 |
| 6 | [bit.edu.cn](https://scholar4ai.com/domains/bit.edu.cn.md) | 21 | 1 |
| 7 | [ucas.ac.cn](https://scholar4ai.com/domains/ucas.ac.cn.md) | 20 | 3 |
| 8 | hit.edu.cn | 19 | 2 |
| 9 | [njtu.edu.cn](https://scholar4ai.com/domains/njtu.edu.cn.md) | 17 | 1 |
| 9 | [seu.edu.cn](https://scholar4ai.com/domains/seu.edu.cn.md) | 17 | 1 |
| 11 | neu.edu.cn | 16 | 2 |
| 12 | xidian.edu.cn | 15 | 0 |
| 13 | sjtu.edu.cn | 13 | 3 |
| 13 | sysu.edu.cn | 13 | 1 |
| 13 | [xjtu.edu.cn](https://scholar4ai.com/domains/xjtu.edu.cn.md) | 13 | 1 |
| 16 | ahu.edu.cn | 12 | 0 |
| 16 | csu.edu.cn | 12 | 0 |
| 16 | fudan.edu.cn | 12 | 2 |
| 16 | nwpu.edu.cn | 12 | 0 |
| 16 | [polyu.edu.hk](https://scholar4ai.com/domains/polyu.edu.hk.md) | 12 | 0 |

## Top countries (top 20)

*Top 20 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Country | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | China (CN) | 712 | 49 |
| 2 | United States (US) | 55 | 7 |
| 3 | India (IN) | 50 | 2 |
| 4 | United Kingdom (GB) | 43 | 4 |
| 5 | Hong Kong (HK) | 34 | 3 |
| 6 | Australia (AU) | 33 | 3 |
| 7 | South Korea (KR) | 29 | 1 |
| 8 | Singapore (SG) | 24 | 3 |
| 9 | Turkey (TR) | 22 | 0 |
| 10 | United Arab Emirates (AE) | 21 | 4 |
| 11 | Italy (IT) | 19 | 0 |
| 12 | Canada (CA) | 15 | 2 |
| 12 | Iran (IR) | 15 | 0 |
| 14 | Spain (ES) | 14 | 0 |
| 14 | Malaysia (MY) | 14 | 0 |
| 14 | Saudi Arabia (SA) | 14 | 1 |
| 17 | Germany (DE) | 13 | 0 |
| 17 | Japan (JP) | 13 | 2 |
| 19 | Bangladesh (BD) | 11 | 1 |
| 19 | Egypt (EG) | 11 | 1 |

## Research fields (top 19)

*Top 19 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Field | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | Computer Science | 690 | 43 |
| 2 | Engineering | 184 | 12 |
| 3 | Social Sciences | 34 | 1 |
| 4 | Medicine | 31 | 3 |
| 5 | Decision Sciences | 27 | 6 |
| 6 | Physics and Astronomy | 23 | 4 |
| 7 | Neuroscience | 19 | 1 |
| 8 | Psychology | 18 | 1 |
| 9 | Biochemistry, Genetics and Molecular Biology | 17 | 1 |
| 10 | Business, Management and Accounting | 15 | 2 |
| 11 | Agricultural and Biological Sciences | 8 | 0 |
| 12 | Mathematics | 7 | 1 |
| 13 | Materials Science | 5 | 1 |
| 14 | Arts and Humanities | 3 | 0 |
| 14 | Environmental Science | 3 | 0 |
| 14 | Health Professions | 3 | 0 |
| 17 | Economics, Econometrics and Finance | 2 | 0 |
| 18 | Dentistry | 1 | 0 |
| 18 | Earth and Planetary Sciences | 1 | 0 |

## Papers per journal (top 20)

*Top 20 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Journal | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 249 | 14 |
| 2 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 188 | 9 |
| 3 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 110 | 6 |
| 4 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 90 | 0 |
| 5 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 89 | 6 |
| 6 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 71 | 1 |
| 7 | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 64 | 8 |
| 8 | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | 54 | 2 |
| 9 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 39 | 10 |
| 10 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 28 | 9 |
| 10 | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 28 | 4 |
| 12 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 20 | 1 |
| 13 | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 18 | 1 |
| 14 | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 17 | 5 |
| 15 | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 11 | 0 |
| 15 | [Artificial Intelligence](https://scholar4ai.com/journals/artificial-intelligence.md) | 11 | 1 |
| 17 | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 10 | 3 |
| 18 | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 8 | 0 |
| 19 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 5 | 0 |
| 20 | [IEEE Transactions on Evolutionary Computation](https://scholar4ai.com/journals/ieee-transactions-on-evolutionary-computation.md) | 4 | 0 |

## Most-used equations and models (top 10)

*Top 10 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Equation or model | Formula | Papers |
|---:|---|---|---:|
| 1 | [Scaled dot-product attention (Transformer)](https://scholar4ai.com/equations/scaled-dot-product-attention-transformer.md) | $\mathrm{Attention}(Q, K, V) = \mathrm{softmax}\Big(\frac{Q K^\top}{\sqrt{d_k}}\Big) V$ | 175 |
| 2 | [Convolutional neural network (CNN)](https://scholar4ai.com/equations/convolutional-neural-network-cnn.md) | $(I * K)(i, j) = \sum_{m}\sum_{n} I(i + m,\, j + n)\, K(m, n)$ | 99 |
| 2 | [Graph neural network (graph convolution)](https://scholar4ai.com/equations/graph-neural-network-graph-convolution.md) | $H^{(l+1)} = \sigma\big(\tilde D^{-1/2} \tilde A\, \tilde D^{-1/2} H^{(l)} W^{(l)}\big)$ | 99 |
| 4 | [Contrastive loss (InfoNCE)](https://scholar4ai.com/equations/contrastive-loss-infonce.md) | $\mathcal{L} = -\log \frac{\exp(\mathrm{sim}(z_i, z_j)/\tau)}{\sum_{k \ne i} \exp(\mathrm{sim}(z_i, z_k)/\tau)}$ | 77 |
| 5 | [Long short-term memory (LSTM)](https://scholar4ai.com/equations/long-short-term-memory-lstm.md) | $c_t = f_t \odot c_{t-1} + i_t \odot \tilde c_t,\quad h_t = o_t \odot \tanh(c_t)$ | 44 |
| 6 | [Softmax function](https://scholar4ai.com/equations/softmax-function.md) | $\mathrm{softmax}(z)_i = \frac{e^{z_i}}{\sum_{j=1}^{K} e^{z_j}}$ | 37 |
| 7 | [Cross-entropy loss](https://scholar4ai.com/equations/cross-entropy-loss.md) | $\mathcal{L} = -\sum_{c=1}^{C} y_c \log \hat y_c$ | 34 |
| 8 | [Support vector machine (SVM)](https://scholar4ai.com/equations/support-vector-machine-svm.md) | $\min_{w, b, \xi}\ \tfrac{1}{2}\lVert w \rVert^2 + C \sum_i \xi_i\ \ \text{s.t.}\ \ y_i (w^\top x_i + b) \ge 1 - \xi_i,\ \xi_i \ge 0$ | 31 |
| 9 | [Logistic regression (logit)](https://scholar4ai.com/equations/logistic-regression-logit.md) | $\Pr(y = 1 \mid x) = \frac{1}{1 + e^{-x^\top\beta}}$ | 29 |
| 9 | [Random forest](https://scholar4ai.com/equations/random-forest.md) | $\hat f(x) = \frac{1}{B}\sum_{b=1}^{B} T_b(x)$ | 29 |

## Most-used data (top 10)

*Top 10 · 2026-09-27 – 2026-10-26 (30 days)*

| # | Data category | Most-mentioned datasets | Papers |
|---:|---|---|---:|
| 1 | [Image classification benchmarks](https://scholar4ai.com/datasets/image-classification-benchmarks.md) | ImageNet (29), CIFAR-10 / CIFAR-100 (29), MNIST / Fashion-MNIST (22), SVHN (5) … | 58 |
| 2 | [Optimization benchmark instances](https://scholar4ai.com/datasets/optimization-benchmark-instances.md) | OR-Library (38), CEC benchmark functions (3) | 40 |
| 3 | [Object detection and segmentation benchmarks](https://scholar4ai.com/datasets/object-detection-and-segmentation-benchmarks.md) | MS COCO (11), nuScenes / Waymo Open / Argoverse (6), KITTI (5), PASCAL VOC (4) … | 24 |
| 4 | [Medical and clinical datasets](https://scholar4ai.com/datasets/medical-and-clinical-datasets.md) | MIMIC (7), PhysioNet / MIT-BIH (5), ADNI (3), BraTS (3) … | 22 |
| 5 | [Public machine learning repositories](https://scholar4ai.com/datasets/public-machine-learning-repositories.md) | UCI Machine Learning Repository (7), Kaggle (6), Hugging Face Hub (6), OpenML (2) | 19 |
| 6 | [Online reviews, e-commerce and recommender data](https://scholar4ai.com/datasets/online-reviews-e-commerce-and-recommender-data.md) | Amazon reviews (7), Taobao / Tmall / JD.com (4), MovieLens (3), Location and social recommendation data (Gowalla, Foursquare, Yelp, Epinions) (3) … | 17 |
| 7 | [Text and NLP benchmarks](https://scholar4ai.com/datasets/text-and-nlp-benchmarks.md) | IMDb (5), Retrieval and QA (MS MARCO, Natural Questions, HotpotQA) (4), GLUE / SuperGLUE (2), CoNLL (2) … | 15 |
| 8 | [Social media data](https://scholar4ai.com/datasets/social-media-data.md) | Twitter / X (7), Facebook (5), Reddit (3), Weibo (3) … | 14 |
| 9 | [Face, person and video benchmarks](https://scholar4ai.com/datasets/face-person-and-video-benchmarks.md) | Action recognition (Kinetics, UCF101, HMDB51) (5), Person re-identification (Market-1501, DukeMTMC, MSMT17) (3), Face recognition (LFW, CelebA, VGGFace2) (1), Facial expression (FER2013, AffectNet, RAF-DB) (1) … | 11 |
| 10 | [Search, news and web data](https://scholar4ai.com/datasets/search-news-and-web-data.md) | Wikipedia (6), GDELT (3) | 9 |


## Latest AI papers

*Latest AI papers*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-24 | [PF-Mamba-UNet: An Anatomical-Prior-Guided Medical Image Segmentation Network Based on Mamba and Spatial-Channel Collaborative Attention Fusion](https://doi.org/10.1007/s12559-026-10667-7) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Leyi Xiao, Kangshun Liao, Baoxian Zhou et al. | Hainan University |
| 2026-10-24 | [A multi-stage multi-level attention-based feature learning framework for multi-endpoint survival prediction in head and neck cancer](https://doi.org/10.1007/s10489-026-07392-x) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Xiaoying Pan, Xiaoying Pan, Xingzhao Pan et al. | Xi’an University of Posts and Telecommunications; University of California, Los Angeles |
| 2026-10-24 | [Instance-adaptive coevolutionary learning of constructive heuristics for multi-objective stochastic resource allocation with preferences](https://doi.org/10.1016/j.eswa.2026.134636) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Jingyu Zhang, Bin Xin, Bo Liu et al. | Beijing Institute of Technology; Chinese Academy of Sciences; Academy of Mathematics and Systems Science |
| 2026-10-24 | [A priority-aware dual-channel feature fusion method for urban rail service traffic classification](https://doi.org/10.1007/s10489-026-07560-z) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Xinpeng Liu, Junhui Zhao, Zhengyuan Wu et al. | Beijing Jiaotong University |
| 2026-10-23 | [Neuro-native paradigms of brain foundation models: evolution, taxonomy, and perspectives](https://doi.org/10.1007/s10462-026-11748-7) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Zepeng Li, Molei Zhang, Tianyi Li et al. | Lanzhou University |
| 2026-10-23 | [Multimodal continual federated learning for human activity recognition: Trends and challenges](https://doi.org/10.1007/s10489-026-07562-x) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | André L. S. Conde, Rodolfo I. Meneguette, Robson E. De Grande et al. | Universidade Estadual Paulista (Unesp); Institute of Mathematics and Computer Science; Brock University |
| 2026-10-23 | [Cross3DReg: A Real-world Cross-source Point Cloud Registration Benchmark](https://doi.org/10.1007/s11263-026-03095-5) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Zongyi Xu, Z. Lang, Yilong Chen et al. | Chongqing University of Posts and Telecommunications; Alibaba Group (China); Shanghai Jiao Tong University; … |
| 2026-10-23 | [Collaborative enhancement of global and disentangled representations for sequential recommendation](https://doi.org/10.1007/s10115-026-02921-z) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Li Liu, Yiliang Lai, Chen Lin | Xiamen University; Sanming University; Assumption University; … |
| 2026-10-23 | [On the robustness verification of binary neural networks](https://doi.org/10.1007/s10462-026-11661-z) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Srećko Ðurašinović | Nanyang Technological University; CNRS@CREATE Ltd (Singapore) |
| 2026-10-23 | [A unified framework for large-foundation-model-based multi-phrasing synthetic VQA data generation and downstream VQA training](https://doi.org/10.1016/j.ipm.2026.105255) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | Zhiyue Liu, Jian Qin, Wenkai Zhou et al. | Guangxi University; Sun Yat-sen University |
| 2026-10-23 | [Towards minute-level pedestrian trajectory prediction in crowded traffic scenarios](https://doi.org/10.1016/j.patcog.2026.115198) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Yonghao Dong, Sanping Zhou, Gang Hua et al. | Xi'an Jiaotong University; Amazon (United States) |
| 2026-10-23 | [Retrieval-augmented generation in biomedicine: a survey of technologies, datasets, and clinical applications](https://doi.org/10.1007/s10462-026-11743-y) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Jiawei He, Boya Zhang, Hossein Rouhizadeh et al. | University of Geneva; Hunan City University; Henan University; … |
| 2026-10-23 | [Designing sustainable urban intelligence: a green AI framework and survey](https://doi.org/10.1007/s10462-026-11730-3) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Elda Cina, Zakwan AlArnaout, Ersin Elbasi Α et al. | American University of the Middle East |
| 2026-10-23 | [Synergizing Disentangled Representation and Split Federated Learning to Break Centralized Bottlenecks in Gaze Estimation](https://doi.org/10.1007/s11263-026-03084-8) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Yunlong Wang, Zhengquan Luo, Kunbo Zhang et al. | Nanyang Technological University; Chinese Academy of Sciences; Institute of Automation; … |
| 2026-10-23 | [Efficient equivariant framework for universal charge density prediction](https://doi.org/10.1038/s42256-026-01326-5) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Xiwen Li, Zaizhou Xin, Hongyu Yu et al. | Fudan University; State Key Laboratory of Surface Physics |

## Questions this page answers

### What are the most common topics in recent AI research?

In the last 30 days, the most frequent OpenAlex keywords in papers from the tracked AI journals were “large language models” (70), “graph neural networks” (38), “multimodal fusion” (29), “contrastive learning” (27) and “explainable AI” (24).

### Which universities and institutions publish the most AI research?

In the last 30 days, the institutions with the most papers in the tracked AI journals were Chinese Academy of Sciences (30), Tsinghua University (25), University of Electronic Science and Technology of China (22), National University of Defense Technology (22) and Beijing Institute of Technology (21).

### Which countries publish the most AI research?

Counting papers with at least one author at an institution in the country, the leaders over the last 30 days were China (712), United States (55), India (50), United Kingdom (43) and Hong Kong (34).

### Which equations and models do recent AI research papers use most?

Counting papers that mention them by name in the title, abstract, keywords or full text, the most frequent in the tracked AI journals over the last 30 days were Scaled dot-product attention (Transformer) (175), Convolutional neural network (CNN) (99), Graph neural network (graph convolution) (99), Contrastive loss (InfoNCE) (77) and Long short-term memory (LSTM) (44).

### What data do recent AI research papers use?

Counting papers that mention a dataset by name, the kinds of data used most over the last 30 days were Image classification benchmarks (58), Optimization benchmark instances (40), Object detection and segmentation benchmarks (24), Medical and clinical datasets (22) and Public machine learning repositories (19); the most-mentioned datasets were OR-Library (38), CIFAR-10 / CIFAR-100 (29), ImageNet (29), MNIST / Fashion-MNIST (22) and MS COCO (11).

### How current is this data?

It is rebuilt from OpenAlex 4 times a day (00:00, 06:00, 12:00, 18:00, UTC+09:00); the last update was 2026-10-26 14:32 UTC+09:00. OpenAlex usually indexes new papers within a few days of publication.

## Cite this page

Scholar4AI. (2026). AI research rankings. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/categories/ai

```bibtex
@misc{scholar4ai-categories-ai,
  author = {{Scholar4AI}},
  title = {AI research rankings},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/categories/ai}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).