---
title: "Scholar4AI: journal research rankings and trends"
description: "In the last 30 days (2026-09-27 to 2026-10-26), 2,971 papers were published in the 205 tracked finance, accounting, economics, management, operations research and AI journals (as indexed by OpenAlex). The most frequent keywords were “large language models” (89), “China” (79) and “Chinese listed companies” (56)."
url: https://scholar4ai.com/
markdown_url: https://scholar4ai.com/index.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T11:39:12+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Scholar4AI

Journal Research Rankings: live rankings of research keywords, universities, institution web domains, countries and fields across recent papers in leading Elsevier, Springer Nature and IEEE journals in finance, accounting, economics, management, operations research and AI, refreshed four times a day from OpenAlex. Window: 2026-09-27 – 2026-10-26 (30 days).

- Papers (30 days): 2,971
- Papers (last 7 days): 269
- Journals: 205
- Institutions: 2,594
- Countries: 104
- Web domains: 2,425

## Key findings

- In the last 30 days (2026-09-27 to 2026-10-26), 2,971 papers were published in the 205 tracked finance, accounting, economics, management, operations research and AI journals (as indexed by OpenAlex).
- The most frequent keywords were “large language models” (89), “China” (79) and “Chinese listed companies” (56).
- The institutions with the most papers were Chinese Academy of Sciences (35), Xi'an Jiaotong University (34) and Tsinghua University (32).
- China was involved in 44% of the papers (1,305), followed by United States (347) and United Kingdom (194).
- Among institution web domains, .edu.cn appeared on 43% of the papers.
- The most-mentioned equations and models were Difference-in-differences (121), Instrumental variables (two-stage least squares) (101) and Logistic regression (logit) (97).
- The most-mentioned kinds of data were Macroeconomic and development indicators (59), Stock market indices (45) and China household and social surveys (26); the most-mentioned datasets were S&P 500 (31), World Development Indicators (World Bank) (30) and Eurostat (23).

## Categories

### Finance

- Papers: 491 in 46 journals
- Top keywords: “China” (27), “Chinese listed companies” (26) and “corporate governance” (23)
- Top institutions: Central University of Finance and Economics (11), Southwestern University of Finance and Economics (11) and University of International Business and Economics (9)
- Dashboard: https://scholar4ai.com/categories/finance.md

### Accounting

- Papers: 58 in 16 journals
- Top keywords: “corporate governance” (10), “Chinese listed companies” (5) and “management control” (4)
- Top institutions: Bowling Green State University (2), Tianjin University (2) and Elon University (2)
- Dashboard: https://scholar4ai.com/categories/accounting.md

### Economics

- Papers: 784 in 83 journals
- Top keywords: “China” (44), “monetary policy” (18) and “Chinese listed companies” (14)
- Top institutions: Centre National de la Recherche Scientifique (20), Peking University (12) and Centre for Economic Policy Research (12)
- Dashboard: https://scholar4ai.com/categories/economics.md

### Management

- Papers: 274 in 25 journals
- Top keywords: “Chinese listed companies” (10), “digital transformation” (10) and “dynamic capabilities” (10)
- Top institutions: BI Norwegian Business School (7), Lappeenranta-Lahti University of Technology (5) and University of Reading (5)
- Dashboard: https://scholar4ai.com/categories/management.md

### Operations Research

- Papers: 240 in 11 journals
- Top keywords: “mixed-integer linear programming” (12), “demand uncertainty” (8) and “supply chain coordination” (8)
- Top institutions: Beihang University (9), Southwest Jiaotong University (8) and Hong Kong Polytechnic University (7)
- Dashboard: https://scholar4ai.com/categories/operations-research.md

### AI

- Papers: 1,124 in 24 journals
- Top keywords: “large language models” (70), “graph neural networks” (38) and “multimodal fusion” (29)
- Top institutions: Chinese Academy of Sciences (30), Tsinghua University (25) and University of Electronic Science and Technology of China (22)
- Dashboard: https://scholar4ai.com/categories/ai.md


## Papers per day

*Papers per publication date*

| Date | Papers |
|---|---:|
| 2026-09-27 | 39 |
| 2026-09-28 | 109 |
| 2026-09-29 | 124 |
| 2026-09-30 | 146 |
| 2026-10-01 | 869 |
| 2026-10-02 | 47 |
| 2026-10-03 | 87 |
| 2026-10-04 | 21 |
| 2026-10-05 | 90 |
| 2026-10-06 | 95 |
| 2026-10-07 | 97 |
| 2026-10-08 | 93 |
| 2026-10-09 | 106 |
| 2026-10-10 | 86 |
| 2026-10-11 | 42 |
| 2026-10-12 | 84 |
| 2026-10-13 | 90 |
| 2026-10-14 | 95 |
| 2026-10-15 | 101 |
| 2026-10-16 | 87 |
| 2026-10-17 | 113 |
| 2026-10-18 | 19 |
| 2026-10-19 | 62 |
| 2026-10-20 | 54 |
| 2026-10-21 | 69 |
| 2026-10-22 | 51 |
| 2026-10-23 | 65 |
| 2026-10-24 | 30 |
| 2026-10-25 | 0 |
| 2026-10-26 | 0 |

## Growing over the year (Jul 2026–Sep 2026 vs Oct 2025–Jun 2026)

*Papers in Jul 2026–Sep 2026 beyond what the keyword's share in Oct 2025–Jun 2026 predicts*

| Keyword | Papers per month, Oct 25 – Oct 26* | Papers Jul 2026–Sep 2026 | vs. earlier share |
|---|---|---:|---:|
| absorptive capacity | 5, 6, 9, 9, 8, 9, 8, 8, 5, 17, 12, 15, 8 | 44 | +22 |
| AI governance | 12, 7, 9, 6, 7, 13, 12, 19, 11, 12, 25, 15, 5 | 52 | +20 |
| uncertainty estimation | 6, 2, 4, 9, 9, 11, 6, 9, 14, 14, 10, 17, 7 | 41 | +18 |
| mixture of experts | 7, 8, 8, 14, 6, 13, 13, 11, 14, 16, 19, 12, 10 | 47 | +16 |
| human-AI collaboration | 4, 7, 6, 7, 3, 6, 12, 6, 11, 10, 14, 12, 8 | 36 | +16 |

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



## Top research keywords (top 10)

*Top 10 · 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) | 89 | 8 |
| 2 | [China](https://scholar4ai.com/keywords/china.md) | 79 | 5 |
| 3 | [Chinese listed companies](https://scholar4ai.com/keywords/chinese-listed-companies.md) | 56 | 1 |
| 4 | [corporate governance](https://scholar4ai.com/keywords/corporate-governance.md) | 49 | 4 |
| 5 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 39 | 1 |
| 6 | [artificial intelligence](https://scholar4ai.com/keywords/artificial-intelligence.md) | 36 | 0 |
| 7 | [emerging markets](https://scholar4ai.com/keywords/emerging-markets.md) | 35 | 4 |
| 8 | [information asymmetry](https://scholar4ai.com/keywords/information-asymmetry.md) | 31 | 1 |
| 9 | [digital transformation](https://scholar4ai.com/keywords/digital-transformation.md) | 30 | 2 |
| 9 | [multimodal fusion](https://scholar4ai.com/keywords/multimodal-fusion.md) | 30 | 0 |

## Top universities and research institutions (top 10)

*Top 10 · 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) | 35 | 5 |
| 2 | [Xi'an Jiaotong University](https://scholar4ai.com/institutions/xi-an-jiaotong-university.md) | 34 | 2 |
| 3 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 32 | 4 |
| 4 | [Beijing Institute of Technology](https://scholar4ai.com/institutions/beijing-institute-of-technology.md) | 31 | 1 |
| 5 | [Southwestern University of Finance and Economics](https://scholar4ai.com/institutions/southwestern-university-of-finance-and-economics.md) | 30 | 1 |
| 5 | [Wuhan University](https://scholar4ai.com/institutions/wuhan-university.md) | 30 | 1 |
| 7 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 29 | 5 |
| 8 | [Beijing Jiaotong University](https://scholar4ai.com/institutions/beijing-jiaotong-university.md) | 26 | 1 |
| 8 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 26 | 3 |
| 10 | [University of Electronic Science and Technology of China](https://scholar4ai.com/institutions/university-of-electronic-science-and-technology-of-china.md) | 25 | 1 |

## Top institution web domains (top 10)

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

| # | Web domain | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | [cas.cn](https://scholar4ai.com/domains/cas.cn.md) | 42 | 5 |
| 2 | [xjtu.edu.cn](https://scholar4ai.com/domains/xjtu.edu.cn.md) | 34 | 2 |
| 3 | [tsinghua.edu.cn](https://scholar4ai.com/domains/tsinghua.edu.cn.md) | 33 | 4 |
| 4 | [bit.edu.cn](https://scholar4ai.com/domains/bit.edu.cn.md) | 31 | 1 |
| 4 | [cnrs.fr](https://scholar4ai.com/domains/cnrs.fr.md) | 31 | 7 |
| 4 | [whu.edu.cn](https://scholar4ai.com/domains/whu.edu.cn.md) | 31 | 1 |
| 7 | [swufe.edu.cn](https://scholar4ai.com/domains/swufe.edu.cn.md) | 30 | 1 |
| 8 | [njtu.edu.cn](https://scholar4ai.com/domains/njtu.edu.cn.md) | 26 | 1 |
| 8 | [ucas.ac.cn](https://scholar4ai.com/domains/ucas.ac.cn.md) | 26 | 3 |
| 10 | [uestc.edu.cn](https://scholar4ai.com/domains/uestc.edu.cn.md) | 25 | 1 |

## Top countries (top 10)

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

| # | Country | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | China (CN) | 1,305 | 87 |
| 2 | United States (US) | 347 | 37 |
| 3 | United Kingdom (GB) | 194 | 20 |
| 4 | Italy (IT) | 126 | 13 |
| 5 | Australia (AU) | 106 | 11 |
| 6 | Germany (DE) | 105 | 9 |
| 7 | India (IN) | 104 | 11 |
| 8 | France (FR) | 98 | 16 |
| 9 | South Korea (KR) | 86 | 7 |
| 10 | Spain (ES) | 80 | 8 |

## Research fields (top 10)

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

| # | Field | Papers | Last 7 days |
|---:|---|---:|---:|
| 1 | Computer Science | 756 | 53 |
| 2 | Economics, Econometrics and Finance | 617 | 52 |
| 3 | Business, Management and Accounting | 539 | 51 |
| 4 | Engineering | 294 | 24 |
| 5 | Social Sciences | 268 | 21 |
| 6 | Decision Sciences | 154 | 24 |
| 7 | Environmental Science | 43 | 3 |
| 8 | Medicine | 40 | 4 |
| 9 | Energy | 32 | 9 |
| 9 | Psychology | 32 | 2 |

## Papers per journal (top 10)

*Top 10 · 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 | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | 127 | 3 |
| 4 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 110 | 6 |
| 5 | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | 97 | 6 |
| 6 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 90 | 0 |
| 7 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 89 | 6 |
| 8 | [Economic Analysis and Policy](https://scholar4ai.com/journals/economic-analysis-and-policy.md) | 71 | 1 |
| 8 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 71 | 1 |
| 10 | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 64 | 8 |

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

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

| # | Equation or model | Formula | Papers |
|---:|---|---|---:|
| 1 | [Difference-in-differences](https://scholar4ai.com/equations/difference-in-differences.md) | $Y_{it} = \alpha_i + \lambda_t + \delta\,(\mathit{Treat}_i \times \mathit{Post}_t) + \varepsilon_{it}$ | 121 |
| 2 | [Instrumental variables (two-stage least squares)](https://scholar4ai.com/equations/instrumental-variables-two-stage-least-squares.md) | $\hat\beta_{\mathrm{2SLS}} = (X^\top P_Z X)^{-1} X^\top P_Z\, y,\quad P_Z = Z (Z^\top Z)^{-1} Z^\top$ | 101 |
| 3 | [Logistic regression (logit)](https://scholar4ai.com/equations/logistic-regression-logit.md) | $\Pr(y = 1 \mid x) = \frac{1}{1 + e^{-x^\top\beta}}$ | 97 |
| 4 | [Ordinary least squares (OLS)](https://scholar4ai.com/equations/ordinary-least-squares-ols.md) | $\hat\beta = (X^\top X)^{-1} X^\top y$ | 93 |
| 5 | [Graph neural network (graph convolution)](https://scholar4ai.com/equations/graph-neural-network-graph-convolution.md) | $H^{(l+1)} = \sigma\big(\tilde D^{-1/2} \tilde A\, \tilde D^{-1/2} H^{(l)} W^{(l)}\big)$ | 75 |
| 6 | [Mediation model (indirect effect)](https://scholar4ai.com/equations/mediation-model-indirect-effect.md) | $M = \alpha_0 + a X + e_1,\quad Y = \beta_0 + c' X + b M + e_2,\quad \text{indirect effect} = a\,b$ | 60 |
| 7 | [Scaled dot-product attention (Transformer)](https://scholar4ai.com/equations/scaled-dot-product-attention-transformer.md) | $\mathrm{Attention}(Q, K, V) = \mathrm{softmax}\Big(\frac{Q K^\top}{\sqrt{d_k}}\Big) V$ | 56 |
| 8 | [Two-way fixed-effects panel regression](https://scholar4ai.com/equations/two-way-fixed-effects-panel-regression.md) | $y_{it} = \alpha_i + \lambda_t + x_{it}^\top\beta + \varepsilon_{it}$ | 55 |
| 9 | [Structural equation modeling (SEM)](https://scholar4ai.com/equations/structural-equation-modeling-sem.md) | $\eta = B\eta + \Gamma\xi + \zeta,\quad y = \Lambda_y\,\eta + \varepsilon$ | 50 |
| 10 | [Vector autoregression (VAR)](https://scholar4ai.com/equations/vector-autoregression-var.md) | $y_t = c + \sum_{i=1}^{p} A_i\, y_{t-i} + \varepsilon_t$ | 49 |

## Most-used data (top 10)

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

| # | Data category | Most-mentioned datasets | Papers |
|---:|---|---|---:|
| 1 | [Macroeconomic and development indicators](https://scholar4ai.com/datasets/macroeconomic-and-development-indicators.md) | World Development Indicators (World Bank) (30), Eurostat (23), Penn World Table (7), IMF data (IFS, WEO, DOTS) (7) … | 59 |
| 2 | [Stock market indices](https://scholar4ai.com/datasets/stock-market-indices.md) | S&P 500 (31), CSI 300 / Shanghai Composite (8), MSCI indices (5), Euro Stoxx / DAX (5) … | 45 |
| 3 | [China household and social surveys](https://scholar4ai.com/datasets/china-household-and-social-surveys.md) | China Household Finance Survey (CHFS) (11), China Family Panel Studies (CFPS) (9), China Health and Nutrition Survey (CHNS) (4), CHARLS (3) … | 26 |
| 4 | [China statistical yearbooks and regional indices](https://scholar4ai.com/datasets/china-statistical-yearbooks-and-regional-indices.md) | Marketization index (Fan Gang) (13), China Statistical Yearbook (3), National Bureau of Statistics of China (3), China City Statistical Yearbook (2) … | 21 |
| 5 | [Financial data platforms](https://scholar4ai.com/datasets/financial-data-platforms.md) | Refinitiv Datastream (5), WRDS (4), Refinitiv Eikon / LSEG Workspace (3), Yahoo Finance (3) … | 20 |
| 6 | [China financial and firm databases](https://scholar4ai.com/datasets/china-financial-and-firm-databases.md) | CSMAR (17), CNRDS (6), Wind (5) | 19 |
| 6 | [Corporate filings and text](https://scholar4ai.com/datasets/corporate-filings-and-text.md) | Earnings call transcripts (9), Loughran-McDonald dictionary (9), 10-K filings (4), XBRL filings (2) … | 19 |
| 8 | [European and other national household panels](https://scholar4ai.com/datasets/european-and-other-national-household-panels.md) | Labour Force Surveys (5), SHARE (4), German Socio-Economic Panel (SOEP) (3), Understanding Society / BHPS (2) … | 17 |
| 9 | [Options and volatility data](https://scholar4ai.com/datasets/options-and-volatility-data.md) | VIX (16), OVX (crude oil volatility index) (2) | 16 |
| 10 | [Company financial statements](https://scholar4ai.com/datasets/company-financial-statements.md) | Compustat (10), Orbis (Bureau van Dijk) (3), Amadeus (Bureau van Dijk) (1), S&P Capital IQ (1) | 15 |


## Latest papers

*Latest papers*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-24 | [Digital competency, data science literacy, and fraud detection skills among generation Z accountants: Evidence from Peru](https://doi.org/10.1016/j.jaccedu.2026.101057) | [Journal of Accounting Education](https://scholar4ai.com/journals/journal-of-accounting-education.md) | Jorge Miguel Chávez-Díaz, Elsa Esther Choy Zevallos, Lázaro Miguel Ángel Cotrina Reyes et al. |  |
| 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 | [Forging holistic nuclear governance: The unifying role of China's atomic energy law in risk regulation and industry promotion](https://doi.org/10.1016/j.enpol.2026.115681) | [Energy Policy](https://scholar4ai.com/journals/energy-policy.md) | BangDa HU |  |
| 2026-10-24 | [Framed norms: the effect of choice and belief information on tax compliance](https://doi.org/10.1007/s10797-026-10009-1) | [International Tax and Public Finance](https://scholar4ai.com/journals/international-tax-and-public-finance.md) | Federico Atzori, Vittorio Pelligra | University of Cagliari |
| 2026-10-24 | [University shocks and research productivity inequality: Evidence from the COVID-19 pandemic](https://doi.org/10.1016/j.jebo.2026.107802) | [Journal of Economic Behavior & Organization](https://scholar4ai.com/journals/journal-of-economic-behavior-organization.md) | Yuxiang Jiang, R. Liu, Dominik M. Rösch et al. | Southwestern University of Finance and Economics; University at Buffalo, State University of New York |
| 2026-10-24 | [Recent Developments at the CMA: 2025–26](https://doi.org/10.1007/s11151-026-10066-0) | [Review of Industrial Organization](https://scholar4ai.com/journals/review-of-industrial-organization.md) | Catherine Colebrook, Helen Ferguson, Jenny Haydock et al. |  |
| 2026-10-24 | [Coal subsidies and long-term contract pricing: a perspective from factor marketization reforms](https://doi.org/10.1016/j.enpol.2026.115678) | [Energy Policy](https://scholar4ai.com/journals/energy-policy.md) | Xiaofei Wang, Nan Liu, Kuijian Qu et al. | Shandong Institute of Business and Technology; Hunan Normal University; Key Laboratory of Computing and Stochastic Mathematics (Ministry of Education) |
| 2026-10-24 | [The intensive margin of food access and its association with health outcomes: evidence of heterogeneous effects across U.S. Communities](https://doi.org/10.1016/j.foodpol.2026.103212) | [Food Policy](https://scholar4ai.com/journals/food-policy.md) | Qingwei Qiao, Syed Badruddoza, Modhurima Dey Amin et al. | Washington State University; Texas Tech University; Economic Research Service |
| 2026-10-24 | [Geopolitical risk and energy poverty in African net energy importers: Localized effects, structural vulnerability, and conditional resilience](https://doi.org/10.1016/j.enpol.2026.115680) | [Energy Policy](https://scholar4ai.com/journals/energy-policy.md) | Amine Kendri, Hafid El Hassani |  |
| 2026-10-24 | [From Big Data to Generative Artificial Intelligence: A Bibliometric Analysis of the Conceptual Structure and Thematic Evolution of Computational Social Science (2011–2025)](https://doi.org/10.1007/s10796-026-10830-3) | [Information Systems Frontiers](https://scholar4ai.com/journals/information-systems-frontiers.md) | Rukiye ÜNAL AYAZ, Hakan Özköse, Muhammet Berigel | Karadeniz Technical University |
| 2026-10-24 | [Fiscal information and stated willingness to pay taxes: evidence from a survey experiment](https://doi.org/10.1007/s10797-026-10007-3) | [International Tax and Public Finance](https://scholar4ai.com/journals/international-tax-and-public-finance.md) | José María Durán-Cabré, Alejandro Esteller Moré, Riccardo Secomandi | Barcelona School of Economics; Universitat de Barcelona; University of Ferrara |
| 2026-10-24 | [Oil import diversification and the macroeconomic transmission of oil supply shocks in the Eurozone](https://doi.org/10.1007/s00181-026-02986-3) | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | Antonio J. Garzón, Mehmet Pinar | Universidad de Cádiz; Istanbul Bilgi University; Universidad de Sevilla |
| 2026-10-24 | [Evolutionary Game Analysis of Value Co-Creation in Green Innovation Chains Under Revenue-Sharing Contracts](https://doi.org/10.1007/s10614-026-11450-4) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Rongjian Xie, Sifan Wang, Qianyao Yang et al. | Nanjing University of Information Science and Technology; Nanjing University of Science and Technology |
| 2026-10-24 | [Inequality matters: A systematic review of heterogeneity in integrated assessment models](https://doi.org/10.1016/j.ecolecon.2026.109280) | [Ecological Economics](https://scholar4ai.com/journals/ecological-economics.md) | Sara Pavesio, Jaime Nieto, Mercedes Molpeceres et al. | Universidad de Valladolid |
| 2026-10-24 | [A poorly targeted subsidy? The fiscal and social costs of EU VAT expenditures](https://doi.org/10.1007/s10797-026-10008-2) | [International Tax and Public Finance](https://scholar4ai.com/journals/international-tax-and-public-finance.md) | Michael Christl | Universidad Loyola Andalucía |

## Questions this page answers

### What are the most common topics in recent finance, accounting, economics, management, operations research and AI research?

In the last 30 days, the most frequent OpenAlex keywords in papers from the tracked finance, accounting, economics, management, operations research and AI journals were “large language models” (89), “China” (79), “Chinese listed companies” (56), “corporate governance” (49) and “graph neural networks” (39).

### Which universities and institutions publish the most finance, accounting, economics, management, operations research and AI research?

In the last 30 days, the institutions with the most papers in the tracked finance, accounting, economics, management, operations research and AI journals were Chinese Academy of Sciences (35), Xi'an Jiaotong University (34), Tsinghua University (32), Beijing Institute of Technology (31) and Southwestern University of Finance and Economics (30).

### Which countries publish the most finance, accounting, economics, management, operations research and AI research?

Counting papers with at least one author at an institution in the country, the leaders over the last 30 days were China (1,305), United States (347), United Kingdom (194), Italy (126) and Australia (106).

### Which equations and models do recent finance, accounting, economics, management, operations research and 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 finance, accounting, economics, management, operations research and AI journals over the last 30 days were Difference-in-differences (121), Instrumental variables (two-stage least squares) (101), Logistic regression (logit) (97), Ordinary least squares (OLS) (93) and Graph neural network (graph convolution) (75).

### What data do recent finance, accounting, economics, management, operations research and AI research papers use?

Counting papers that mention a dataset by name, the kinds of data used most over the last 30 days were Macroeconomic and development indicators (59), Stock market indices (45), China household and social surveys (26), China statistical yearbooks and regional indices (21) and Financial data platforms (20); the most-mentioned datasets were S&P 500 (31), World Development Indicators (World Bank) (30), Eurostat (23), CSMAR (17) and VIX (16).

### 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 11:39 UTC+09:00. OpenAlex usually indexes new papers within a few days of publication.