---
title: "Artificial Intelligence Review: 28 papers, last 30 days"
description: "Artificial Intelligence Review published 28 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #27 of 239 journals."
url: https://scholar4ai.com/journals/artificial-intelligence-review
markdown_url: https://scholar4ai.com/journals/artificial-intelligence-review.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Artificial Intelligence Review published 28 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #27 of 239 journals."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T14:52:47+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Artificial Intelligence Review

- 9 papers in the last 7 days
- category: AI
- publisher: Springer Science+Business Media
- ISSN 0269-2821

Back to the ranking: https://scholar4ai.com/rankings/journals.md

## Key findings

- Artificial Intelligence Review published 28 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #27 of 239 journals.
- Leading institutions: National University of Singapore (2), Hong Kong Polytechnic University (2) and Ajman University (2).
- Countries: China (7), Australia (4) and United Arab Emirates (4).
- From Oct 2023 to Sep 2026, Artificial Intelligence Review published 1,091 papers (30 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “deep learning” (123), “large language models” (88) and “convolutional neural networks” (58).
- Its most-cited paper of the period is “A comprehensive survey of loss functions and metrics in deep learning” (2025-04-11), with 395 citations.

## The last 36 months

*Papers by publication date, Oct 2023 to Sep 2026*

| Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---:|---:|---:|---:|
| 333 | 404 | 354 | 1,091 |

*Most frequent keywords, Oct 2023 to Sep 2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | deep learning | 123 |
| 2 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 88 |
| 3 | convolutional neural networks | 58 |
| 4 | transformer models | 57 |
| 5 | [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) | 55 |
| 6 | machine learning | 51 |
| 7 | metaheuristic optimization | 51 |
| 8 | [artificial intelligence](https://scholar4ai.com/keywords/artificial-intelligence.md) | 46 |
| 9 | class imbalance | 34 |
| 10 | interpretability | 33 |

*Most-cited papers published Oct 2023 to Sep 2026*

| # | 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 | 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. |
| 4 | 258 | 13.3 | [BERT applications in natural language processing: a review](https://doi.org/10.1007/s10462-025-11162-5) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2025-03-15 | Nadia Mushtaq Gardazi, Ali Daud, Muhammad Kamran Malik et al. |
| 5 | 222 | 14.7 | [Physics-informed neural networks for PDE problems: a comprehensive review](https://doi.org/10.1007/s10462-025-11322-7) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2025-07-24 | Kuang Luo, Jingshang Zhao, Ying‐Ping Wang et al. |

*Papers, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 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 | [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 | [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 |
| 2026-10-22 | [Beyond the survey: a systematic empirical study of detection and association in visual MOT](https://doi.org/10.1007/s10462-026-11713-4) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Linh Van Ma, Juhua Hu, Wei Cheng et al. | Gwangju Institute of Science and Technology; University of Washington Tacoma |
| 2026-10-21 | [Explaining teacher adoption of AI through the technology acceptance model: a meta-analysis and systematic review](https://doi.org/10.1007/s10462-026-11736-x) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Prashanth Shenoy, Mirka Saarela | University of Jyväskylä |
| 2026-10-21 | [Toward unified intelligence in renewable-dominant power systems: a survey of hybrid forecasting, explainable AI, and multi-agent optimization](https://doi.org/10.1007/s10462-026-11711-6) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Tariq Ali, Muzna Sarwar, Husam S. Samkari et al. | University of Tabuk; Islamia University of Bahawalpur; Najran University |
| 2026-10-21 | [Leveraging machine learning in balancing inventories and analyzing market trends: a comprehensive systematic review](https://doi.org/10.1007/s10462-026-11723-2) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Md. Sakhawat Hossain, Md. Sadman Haque, Zobaer Ibn Razzaque et al. | United International University; Dhaka International University |
| 2026-10-20 | [Adaptation of foundation models in medical image analysis: mechanisms, evidence, and deployment considerations](https://doi.org/10.1007/s10462-026-11733-0) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Karma Phuntsho, Abdullah, Kyungmi Lee et al. | James Cook University |
| 2026-10-17 | [Toward robust, reproducible, and widely accessible intracranial speech brain-computer interfaces: a comprehensive narrative review of neural mechanisms, hardware, algorithms, evaluation, clinical pathways and future directions](https://doi.org/10.1007/s10462-026-11728-x) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Dongyi He, Wai Ting Siok, Nizhuan Wang | Hong Kong Polytechnic University; Chongqing University of Technology |
| 2026-10-17 | [Seeing ahead through a state-of-the-art review of visual perception and predictive intelligence for collaborative robots](https://doi.org/10.1007/s10462-026-11708-1) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Mahmoud Salem, Markus Reischl, Veit Hagenmeyer et al. | Karlsruhe Institute of Technology; British University in Egypt; Gulf University for Science & Technology |
| 2026-10-17 | [Language modeling on tabular data: a survey of foundations, techniques and evolution](https://doi.org/10.1007/s10462-026-11726-z) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Yucheng Ruan, Xiang Lan, Jingying Ma et al. | National University of Singapore; Institute of Data Science |
| 2026-10-16 | [Autonomous agents and multi-agent systems: a comprehensive review](https://doi.org/10.1007/s10462-026-11731-2) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Mohammed Alaa Ala’anzy, Meruyert Oshayeva, Yassine Himeur | Suleyman Demirel University; University of Dubai |
| 2026-10-16 | [Towards efficient large language models for scientific data: a review](https://doi.org/10.1007/s10462-026-11727-y) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Huy Quoc To, Guangyan Huang, Jun Wang et al. | Deakin University; Zhengzhou University of Aeronautics |
| 2026-10-16 | [From knowledge retrieval to generation: a comprehensive study of RAG's architectures, evolution, and applications](https://doi.org/10.1007/s10462-026-11716-1) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Xiaoling Shu, Xiao Zhang, Ruixin Wang et al. | Northwestern Polytechnical University |
| 2026-10-11 | [Population size reduction methods in differential evolution: a comprehensive review and experimental analysis](https://doi.org/10.1007/s10462-026-11712-5) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Janez Brest, Jan Popič, Blaž Pšeničnik et al. | University of Maribor |
| 2026-10-08 | [How does thermal imaging compare with other pose estimation techniques? A survey on gait analysis in healthcare applications with a focus on knee osteoarthritis](https://doi.org/10.1007/s10462-026-11732-1) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Mohammad Abudayeh, David A. Elizondo, Sarah Greenfield et al. | De Montfort University; Swansea University |
| 2026-10-01 | [Artificial intelligence technologies for aging in place: a systematic review](https://doi.org/10.1007/s10462-026-11698-0) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Keyi Li, Chengliang Wang, Zhuopeng Yu | University of Hong Kong; East China Normal University; Australian Catholic University; … |
| 2026-09-30 | [LLM-driven personalized and adaptive systems for health and wellness: a systematic review](https://doi.org/10.1007/s10462-026-11703-6) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Japheth Mumo Kimeu, Gerry Chan, Rita Orji et al. | Dalhousie University |
| 2026-09-30 | [Towards optimized forward–forward training for neural networks](https://doi.org/10.1007/s10462-026-11668-6) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Yomna Abdulgawad Elnady, Amany Mahmoud Sarhan, Mohammad Ali Eita | Tanta University; ElSewedy University of Technology |
| 2026-09-29 | [Recent advances in the Horse herd optimization algorithm, its versions, and applications](https://doi.org/10.1007/s10462-026-11688-2) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Mohammed A. Awadallah, Soud Asaad Soud Alhazba, Maryam Hesham Ali et al. | Al-Aqsa University; Ajman University; Chulalongkorn University |
| 2026-09-29 | [Artificial Intelligence (AI) assurance: challenges, gaps, and the path forward](https://doi.org/10.1007/s10462-026-11719-y) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Anita Khadka, Carsten R. Maple | University of Warwick |
| 2026-09-28 | [Artificial intelligence in litigation: a systematic review of applications, challenges, and future directions](https://doi.org/10.1007/s10462-026-11697-1) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Zehui Zhao, Mohammed Abdulazeez Jebur, Laith Alzubaidi | Queensland University of Technology; University of Information Technology and Communications |
| 2026-09-28 | [Artificial intelligence for forecasting, optimization, and energy storage in energy communities: a review](https://doi.org/10.1007/s10462-026-11681-9) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Fernando Lezama, Tayenne Dias de Lima, Fábio Castro et al. | Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento; Universidade Técnica do Porto |
| 2026-09-28 | [Out-of-distribution challenges in intelligent fault diagnosis: a survey of generalization and detection](https://doi.org/10.1007/s10462-026-11722-3) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Fanwei Lin, Li Zhang, Chang Guo et al. | Xi'an Jiaotong University |
| 2026-09-28 | [Mapping the RAG landscape: a four-axis taxonomy of efficiency, defense, interactivity, and reasoning](https://doi.org/10.1007/s10462-026-11715-2) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Meghana Sunil, Vaddepalli Shravya, Shravan Venkatraman et al. | Vellore Institute of Technology University; Mohamed bin Zayed University of Artificial Intelligence |
| 2026-09-27 | [Multi-objective optimization algorithms for intrusion detection systems in IoT: a systematic review and future research directions](https://doi.org/10.1007/s10462-026-11724-1) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Mohammed Azmi Al‐Betar, Elfadil Abdalla Mohamed, Malik Shehadeh Braik | Chulalongkorn University; Ajman University; Al-Balqa Applied University |
| 2026-09-27 | [A comparative evaluation of outlier detection in categorical and mixed data](https://doi.org/10.1007/s10462-026-11687-3) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Felippe Pires Ferreira, Robson L. F. Cordeiro | Universidade de São Paulo |

## Cite this page

Scholar4AI. (2026). Artificial Intelligence Review. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/journals/artificial-intelligence-review

```bibtex
@misc{scholar4ai-journals-artificial-intelligence-review,
  author = {{Scholar4AI}},
  title = {Artificial Intelligence Review},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/artificial-intelligence-review}},
  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/).