Research published in January 2026
What the tracked finance, accounting, economics, management, operations research and AI journals published in January 2026, by publication date in OpenAlex. This page is a fixed monthly record: its address does not change. Counts can still grow a little as late papers are indexed, and citations are updated daily. Also as Markdown.
← December 2025 · All months · February 2026 →
Key findings#
- In January 2026, the tracked journals published 4,959 papers (finance 567, accounting 82, economics 885, management 489, operations research 467, AI 2,469).
- The most frequent keywords were “large language models” (174), “China” (131) and “Chinese listed companies” (112).
- Compared with their share in the twelve months before, the keywords that grew most were “large language models” (174 papers, +74), “federated learning” (72 papers, +40) and “diffusion models” (71 papers, +40).
- The institutions with the most papers were Chinese Academy of Sciences (110), Tsinghua University (92) and Shanghai Jiao Tong University (86).
- China was involved in 54% of the papers.
- The most-cited paper published that month is “Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment” (IEEE Transactions on Pattern Analysis and Machine Intelligence), with 133 citations so far.
Papers by category#
| Category | Papers |
|---|---|
| Finance | 567 |
| Accounting | 82 |
| Economics | 885 |
| Management | 489 |
| Operations Research | 467 |
| AI | 2,469 |
Top keywords#
| # | Keyword | Papers |
|---|---|---|
| 1 | large language models | 174 |
| 2 | China | 131 |
| 3 | Chinese listed companies | 112 |
| 4 | graph neural networks | 81 |
| 5 | corporate governance | 74 |
| 6 | financial constraints | 74 |
| 7 | federated learning | 72 |
| 8 | diffusion models | 71 |
| 9 | multi-objective optimization | 66 |
| 10 | multimodal fusion | 66 |
| 11 | state-owned enterprises | 57 |
| 12 | attention mechanism | 55 |
| 13 | contrastive learning | 55 |
| 14 | information asymmetry | 53 |
| 15 | knowledge distillation | 51 |
Growing keywords#
| Keyword | Papers | At earlier share | Extra papers |
|---|---|---|---|
| large language models | 174 | 99.7 | +74.3 |
| federated learning | 72 | 31.6 | +40.4 |
| diffusion models | 71 | 31.0 | +40.0 |
| evolutionary algorithms | 44 | 5.9 | +38.1 |
| multimodal fusion | 66 | 37.5 | +28.5 |
| vision-language models | 45 | 19.4 | +25.6 |
| multi-objective optimization | 66 | 40.6 | +25.4 |
| continual learning | 30 | 11.8 | +18.2 |
| catastrophic forgetting | 36 | 18.5 | +17.5 |
| parameter-efficient fine-tuning | 25 | 7.7 | +17.3 |
Top keywords by category#
| Category | Most frequent keywords |
|---|---|
| Finance | Chinese listed companies (62); financial constraints (45); corporate governance (39); China (37); information asymmetry (31) |
| Accounting | corporate governance (18); Chinese listed companies (8); state-owned enterprises (7); earnings management (5); economic policy uncertainty (5) |
| Economics | China (82); Chinese listed companies (23); economic growth (22); financial constraints (21); environmental regulation (19) |
| Management | digital transformation (20); Chinese listed companies (17); dynamic capabilities (17); emerging markets (16); moderating effect (16) |
| Operations Research | mixed-integer linear programming (21); multi-objective optimization (18); demand uncertainty (16); mixed integer programming (15); vehicle routing (12) |
| AI | large language models (152); graph neural networks (75); diffusion models (71); federated learning (69); multimodal fusion (63) |
Institutions#
| # | Institution | Papers |
|---|---|---|
| 1 | Chinese Academy of Sciences | 110 |
| 2 | Tsinghua University | 92 |
| 3 | Shanghai Jiao Tong University | 86 |
| 4 | Nanyang Technological University | 80 |
| 5 | Zhejiang University | 79 |
| 6 | Huazhong University of Science and Technology | 78 |
| 7 | Hong Kong Polytechnic University | 77 |
| 8 | Peking University | 72 |
| 9 | University of Science and Technology of China | 71 |
| 10 | Sun Yat-sen University | 65 |
Countries#
| # | Country | Papers |
|---|---|---|
| 1 | China | 2,656 |
| 2 | United States | 600 |
| 3 | United Kingdom | 377 |
| 4 | Hong Kong | 239 |
| 5 | Australia | 226 |
| 6 | Germany | 224 |
| 7 | Italy | 198 |
| 8 | India | 196 |
| 9 | France | 148 |
| 10 | Singapore | 147 |
Journals#
| # | Journal | Papers |
|---|---|---|
| 1 | Expert Systems with Applications | 362 |
| 2 | IEEE Transactions on Pattern Analysis and Machine Intelligence | 297 |
| 3 | IEEE Transactions on Neural Networks and Learning Systems | 288 |
| 4 | IEEE Transactions on Evolutionary Computation | 196 |
| 5 | Pattern Recognition | 177 |
| 6 | Knowledge-Based Systems | 176 |
| 7 | IEEE Transactions on Artificial Intelligence | 143 |
| 8 | IEEE Transactions on Knowledge and Data Engineering | 132 |
| 9 | Neural Networks | 124 |
| 10 | Finance research letters | 112 |
Equations and models#
| # | Equation or model | Papers |
|---|---|---|
| 1 | Scaled dot-product attention (Transformer) | 69 |
| 2 | Graph neural network (graph convolution) | 65 |
| 3 | Contrastive loss (InfoNCE) | 33 |
| 4 | Convolutional neural network (CNN) | 31 |
| 5 | Linear and integer programming | 27 |
| 6 | Generative adversarial network (GAN) | 24 |
| 7 | Q-learning | 13 |
| 8 | Variational autoencoder (ELBO) | 12 |
| 9 | Kullback-Leibler divergence | 11 |
| 10 | Long short-term memory (LSTM) | 11 |
Datasets#
| # | Dataset | Papers |
|---|---|---|
| 1 | ImageNet | 13 |
| 2 | CIFAR-10 / CIFAR-100 | 12 |
| 3 | CEC benchmark functions | 6 |
| 4 | MNIST / Fashion-MNIST | 5 |
| 5 | Action recognition (Kinetics, UCF101, HMDB51) | 3 |
| 6 | MS COCO | 3 |
| 7 | MuJoCo | 3 |
| 8 | nuScenes / Waymo Open / Argoverse | 3 |
| 9 | D4RL | 2 |
| 10 | Open Graph Benchmark | 2 |
Most-cited papers published in January 2026#
← December 2025 · All months · February 2026 →
Cite this page
Scholar4AI. (2026). Research published in January 2026. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/reports/2026-01
@misc{scholar4ai-reports-2026-01,
author = {{Scholar4AI}},
title = {Research published in January 2026},
year = {2026},
howpublished = {\url{https://scholar4ai.com/reports/2026-01}},
urldate = {2026-10-26},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}