Research published in May 2025
What the tracked finance, accounting, economics, management, operations research and AI journals published in May 2025, 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.
← April 2025 · All months · June 2025 →
Key findings#
- In May 2025, the tracked journals published 4,325 papers (finance 648, accounting 61, economics 921, management 442, operations research 575, AI 1,678).
- The most frequent keywords were “China” (156), “Chinese listed companies” (105) and “financial constraints” (83).
- Compared with their share in the twelve months before, the keywords that grew most were “large language models” (80 papers, +34), “income inequality” (39 papers, +17) and “computational efficiency” (40 papers, +13).
- The institutions with the most papers were Chinese Academy of Sciences (76), Tsinghua University (57) and Harbin Institute of Technology (55).
- China was involved in 46% of the papers.
- The most-cited paper published that month is “Parameter-efficient fine-tuning in large language models: a survey of methodologies” (Artificial Intelligence Review), with 186 citations so far.
Papers by category#
| Category | Papers |
|---|---|
| Finance | 648 |
| Accounting | 61 |
| Economics | 921 |
| Management | 442 |
| Operations Research | 575 |
| AI | 1,678 |
Top keywords#
| # | Keyword | Papers |
|---|---|---|
| 1 | China | 156 |
| 2 | Chinese listed companies | 105 |
| 3 | financial constraints | 83 |
| 4 | large language models | 80 |
| 5 | corporate governance | 79 |
| 6 | COVID-19 pandemic | 74 |
| 7 | graph neural networks | 61 |
| 8 | state-owned enterprises | 59 |
| 9 | contrastive learning | 50 |
| 10 | information asymmetry | 49 |
| 11 | regional heterogeneity | 49 |
| 12 | moderating effect | 48 |
| 13 | attention mechanism | 47 |
| 14 | emerging markets | 44 |
| 15 | computational efficiency | 40 |
Growing keywords#
| Keyword | Papers | At earlier share | Extra papers |
|---|---|---|---|
| large language models | 80 | 46.2 | +33.8 |
| income inequality | 39 | 21.8 | +17.2 |
| computational efficiency | 40 | 26.6 | +13.4 |
| deep reinforcement learning | 35 | 22.5 | +12.5 |
| convergence analysis | 31 | 19.1 | +11.9 |
| approximation algorithms | 20 | 8.5 | +11.5 |
| supply chain resilience | 27 | 15.8 | +11.2 |
| graph attention networks | 21 | 10.1 | +10.9 |
| adversarial examples | 14 | 3.7 | +10.3 |
| domain generalization | 22 | 12.2 | +9.8 |
Top keywords by category#
| Category | Most frequent keywords |
|---|---|
| Finance | Chinese listed companies (79); China (60); financial constraints (60); corporate governance (51); state-owned enterprises (43) |
| Accounting | corporate governance (13); audit fees (4); Chinese listed companies (3); business risk (3); discretionary accruals (3) |
| Economics | China (81); income inequality (31); COVID-19 pandemic (23); CO2 emissions (21); economic growth (20) |
| Management | moderating effect (16); digital transformation (14); purchase intention (14); COVID-19 pandemic (13); artificial intelligence (13) |
| Operations Research | approximation algorithms (18); supply chain resilience (17); mixed-integer linear programming (16); multi-objective optimization (16); makespan minimization (14) |
| AI | large language models (70); graph neural networks (60); contrastive learning (49); attention mechanism (47); transformer models (38) |
Institutions#
| # | Institution | Papers |
|---|---|---|
| 1 | Chinese Academy of Sciences | 76 |
| 2 | Tsinghua University | 57 |
| 3 | Harbin Institute of Technology | 55 |
| 4 | Hong Kong Polytechnic University | 55 |
| 5 | Huazhong University of Science and Technology | 53 |
| 6 | Nanyang Technological University | 53 |
| 7 | Zhejiang University | 53 |
| 8 | Xi'an Jiaotong University | 50 |
| 9 | Peking University | 46 |
| 10 | Northwestern Polytechnical University | 44 |
Countries#
| # | Country | Papers |
|---|---|---|
| 1 | China | 2,009 |
| 2 | United States | 626 |
| 3 | United Kingdom | 347 |
| 4 | Italy | 227 |
| 5 | Germany | 203 |
| 6 | Australia | 189 |
| 7 | India | 181 |
| 8 | France | 162 |
| 9 | Hong Kong | 131 |
| 10 | Spain | 130 |
Journals#
| # | Journal | Papers |
|---|---|---|
| 1 | Expert Systems with Applications | 474 |
| 2 | Knowledge-Based Systems | 187 |
| 3 | Finance research letters | 151 |
| 4 | Pattern Recognition | 128 |
| 5 | Neural Networks | 122 |
| 6 | Neural Computing and Applications | 106 |
| 7 | Information Fusion | 97 |
| 8 | IEEE Transactions on Neural Networks and Learning Systems | 91 |
| 9 | Computers & Industrial Engineering | 87 |
| 10 | Energy Economics | 86 |
Equations and models#
| # | Equation or model | Papers |
|---|---|---|
| 1 | Scaled dot-product attention (Transformer) | 153 |
| 2 | Graph neural network (graph convolution) | 130 |
| 3 | Convolutional neural network (CNN) | 93 |
| 4 | Contrastive loss (InfoNCE) | 78 |
| 5 | Linear and integer programming | 70 |
| 6 | Long short-term memory (LSTM) | 55 |
| 7 | Generative adversarial network (GAN) | 32 |
| 8 | Support vector machine (SVM) | 31 |
| 9 | Mediation model (indirect effect) | 28 |
| 10 | Random forest | 28 |
Datasets#
| # | Dataset | Papers |
|---|---|---|
| 1 | Economic Policy Uncertainty index | 20 |
| 2 | Twitter / X | 15 |
| 3 | S&P 500 | 12 |
| 4 | CIFAR-10 / CIFAR-100 | 11 |
| 5 | ImageNet | 11 |
| 6 | CEC benchmark functions | 6 |
| 7 | MIMIC | 6 |
| 8 | MNIST / Fashion-MNIST | 6 |
| 9 | Brent crude oil | 5 |
| 10 | Climate Policy Uncertainty index | 5 |
Most-cited papers published in May 2025#
← April 2025 · All months · June 2025 →
Cite this page
Scholar4AI. (2026). Research published in May 2025. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/reports/2025-05
@misc{scholar4ai-reports-2025-05,
author = {{Scholar4AI}},
title = {Research published in May 2025},
year = {2026},
howpublished = {\url{https://scholar4ai.com/reports/2025-05}},
urldate = {2026-10-26},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}