---
title: "Research in March 2026: top topics and papers"
description: "In March 2026, the tracked journals published 4,602 papers (finance 694, accounting 68, economics 938, management 521, operations research 516, AI 1,865). The most frequent keywords were “large language models” (149), “China” (148) and “Chinese listed companies” (99)."
url: https://scholar4ai.com/reports/2026-03
markdown_url: https://scholar4ai.com/reports/2026-03.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "In March 2026, the tracked journals published 4,602 papers (finance 694, accounting 68, economics 938, management 521, operations research 516, AI 1,865)."
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)
---

# Research published in March 2026

What the tracked finance, accounting, economics, management, operations research and AI journals published in March 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.

## Key findings

- In March 2026, the tracked journals published 4,602 papers (finance 694, accounting 68, economics 938, management 521, operations research 516, AI 1,865).
- The most frequent keywords were “large language models” (149), “China” (148) and “Chinese listed companies” (99).
- Compared with their share in the twelve months before, the keywords that grew most were “manufacturing companies” (43 papers, +16), “multimodal large language models” (25 papers, +15) and “pseudo-labeling” (35 papers, +12).
- The institutions with the most papers were Chinese Academy of Sciences (80), Zhejiang University (64) and Peking University (57).
- China was involved in 46% of the papers.
- The most-cited paper published that month is “Artificial intelligence for information-driven resilience: Enhancing strategic adaptation and entrepreneurial success” (International Journal of Information Management), with 55 citations so far.

## Papers by category

*Papers published in March 2026*

| Category | Papers |
|---|---:|
| [Finance](https://scholar4ai.com/categories/finance.md) | 694 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 68 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 938 |
| [Management](https://scholar4ai.com/categories/management.md) | 521 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 516 |
| [AI](https://scholar4ai.com/categories/ai.md) | 1,865 |

## Top keywords

*Most frequent keywords, March 2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 149 |
| 2 | [China](https://scholar4ai.com/keywords/china.md) | 148 |
| 3 | [Chinese listed companies](https://scholar4ai.com/keywords/chinese-listed-companies.md) | 99 |
| 4 | [corporate governance](https://scholar4ai.com/keywords/corporate-governance.md) | 88 |
| 5 | [financial constraints](https://scholar4ai.com/keywords/financial-constraints.md) | 77 |
| 6 | [contrastive learning](https://scholar4ai.com/keywords/contrastive-learning.md) | 69 |
| 7 | state-owned enterprises | 68 |
| 8 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 64 |
| 9 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 61 |
| 10 | [emerging markets](https://scholar4ai.com/keywords/emerging-markets.md) | 58 |
| 11 | [digital transformation](https://scholar4ai.com/keywords/digital-transformation.md) | 55 |
| 12 | CO2 emissions | 50 |
| 13 | [artificial intelligence](https://scholar4ai.com/keywords/artificial-intelligence.md) | 50 |
| 14 | [information asymmetry](https://scholar4ai.com/keywords/information-asymmetry.md) | 49 |
| 15 | class imbalance | 48 |

## Growing keywords

*Papers in March 2026 beyond the keyword's share in the twelve months before*

| Keyword | Papers | At earlier share | Extra papers |
|---|---:|---:|---:|
| manufacturing companies | 43 | 26.6 | +16.4 |
| multimodal large language models | 25 | 10.3 | +14.7 |
| pseudo-labeling | 35 | 22.7 | +12.3 |
| distribution shift | 26 | 14.1 | +11.9 |
| label noise | 23 | 11.9 | +11.1 |
| risk identification | 11 | 0.7 | +10.3 |
| dynamic capabilities | 27 | 17.1 | +9.9 |
| green transition | 26 | 16.2 | +9.8 |
| retrieval-augmented generation | 18 | 8.6 | +9.4 |
| data heterogeneity | 21 | 11.8 | +9.2 |

## Top keywords by category

*The five most frequent keywords per category, March 2026*

| Category | Most frequent keywords |
|---|---|
| [Finance](https://scholar4ai.com/categories/finance.md) | China (64); Chinese listed companies (62); corporate governance (62); financial constraints (56); state-owned enterprises (43) |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | corporate governance (10); firm performance (5); corporate disclosure (4); information environment (4); Chinese listed companies (3) |
| [Economics](https://scholar4ai.com/categories/economics.md) | China (71); CO2 emissions (29); energy transition (20); income inequality (20); COVID-19 pandemic (18) |
| [Management](https://scholar4ai.com/categories/management.md) | digital transformation (25); dynamic capabilities (20); Chinese listed companies (19); artificial intelligence (17); generative AI (17) |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | mixed-integer linear programming (22); demand uncertainty (15); vehicle routing (13); makespan minimization (12); non-convex optimization (12) |
| [AI](https://scholar4ai.com/categories/ai.md) | large language models (125); contrastive learning (68); graph neural networks (61); multimodal fusion (46); class imbalance (42) |

## Institutions

*Institutions with the most papers, March 2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 80 |
| 2 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 64 |
| 3 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 57 |
| 4 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 54 |
| 5 | [Southeast University](https://scholar4ai.com/institutions/southeast-university.md) | 53 |
| 6 | Shanghai Jiao Tong University | 52 |
| 7 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 52 |
| 8 | [Xi'an Jiaotong University](https://scholar4ai.com/institutions/xi-an-jiaotong-university.md) | 50 |
| 9 | Northwestern Polytechnical University | 47 |
| 10 | Harbin Institute of Technology | 46 |

## Countries

*Countries, March 2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 2,110 |
| 2 | United States | 674 |
| 3 | United Kingdom | 352 |
| 4 | Australia | 210 |
| 5 | India | 193 |
| 6 | Italy | 191 |
| 7 | Germany | 186 |
| 8 | France | 171 |
| 9 | Hong Kong | 157 |
| 10 | Spain | 133 |

## Journals

*Journals with the most papers, March 2026*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 392 |
| 2 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 236 |
| 3 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 215 |
| 4 | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | 182 |
| 5 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 138 |
| 6 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 127 |
| 7 | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | 119 |
| 8 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 92 |
| 9 | [Energy Economics](https://scholar4ai.com/journals/energy-economics.md) | 82 |
| 10 | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 78 |

## Equations and models

*Most-mentioned equations and models, March 2026 (titles, abstracts and keywords)*

| # | Equation or model | Papers |
|---:|---|---:|
| 1 | [Linear and integer programming](https://scholar4ai.com/equations/linear-and-integer-programming.md) | 34 |
| 2 | [Graph neural network (graph convolution)](https://scholar4ai.com/equations/graph-neural-network-graph-convolution.md) | 31 |
| 3 | [Scaled dot-product attention (Transformer)](https://scholar4ai.com/equations/scaled-dot-product-attention-transformer.md) | 24 |
| 4 | [Contrastive loss (InfoNCE)](https://scholar4ai.com/equations/contrastive-loss-infonce.md) | 19 |
| 5 | [Logistic regression (logit)](https://scholar4ai.com/equations/logistic-regression-logit.md) | 9 |
| 6 | [Convolutional neural network (CNN)](https://scholar4ai.com/equations/convolutional-neural-network-cnn.md) | 7 |
| 7 | [Generative adversarial network (GAN)](https://scholar4ai.com/equations/generative-adversarial-network-gan.md) | 5 |
| 8 | [Long short-term memory (LSTM)](https://scholar4ai.com/equations/long-short-term-memory-lstm.md) | 5 |
| 9 | [Data envelopment analysis (DEA)](https://scholar4ai.com/equations/data-envelopment-analysis-dea.md) | 4 |
| 10 | [Expected shortfall (CVaR)](https://scholar4ai.com/equations/expected-shortfall-cvar.md) | 4 |

## Datasets

*Most-mentioned datasets, March 2026 (titles, abstracts and keywords)*

| # | Dataset | Papers |
|---:|---|---:|
| 1 | ImageNet | 5 |
| 2 | KITTI | 4 |
| 3 | CIFAR-10 / CIFAR-100 | 3 |
| 4 | MS COCO | 3 |
| 5 | PhysioNet / MIT-BIH | 3 |
| 6 | Kaggle | 2 |
| 7 | StarCraft | 2 |
| 8 | Action recognition (Kinetics, UCF101, HMDB51) | 1 |
| 9 | BraTS | 1 |
| 10 | Chest X-ray (CheXpert, ChestX-ray14) | 1 |

## Most-cited papers published in March 2026

*Most-cited papers published in March 2026 (citations counted by OpenAlex, updated daily)*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 55 | 7.3 | [Artificial intelligence for information-driven resilience: Enhancing strategic adaptation and entrepreneurial success](https://doi.org/10.1016/j.ijinfomgt.2026.103057) | [International Journal of Information Management](https://scholar4ai.com/journals/international-journal-of-information-management.md) | 2026-03-10 | Shaofeng Wang, Hao Zhang |
| 2 | 38 | 4.9 | [Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decoupling](https://doi.org/10.1007/s11263-026-02757-8) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 2026-03-06 | Songcheng Du, Yang Zou, Zixu Wang et al. |
| 3 | 37 | 4.8 | [A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource](https://doi.org/10.1109/tkde.2026.3669747) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2026-03-03 | Yue Liu, Jun Xia, Benyu Wu et al. |
| 4 | 34 | 4.7 | [Bounty hunter optimizer: A novel metaheuristic with an application to multi-UAV mobile edge computing and path planning](https://doi.org/10.1016/j.knosys.2026.115836) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2026-03-21 | Mingyang Yu, Haorui Yang, Jiaqi Zhang et al. |
| 5 | 33 | 4.4 | [Does artificial intelligence (AI) adoption enable resilience to disruptions among firms? An in-depth examination](https://doi.org/10.1016/j.techfore.2026.124546) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | 2026-03-13 | Jiapeng Dai, Anqi Zhang |
| 6 | 32 | 4.2 | [The MVTec AD 2 Dataset: Advanced Scenarios for Unsupervised Anomaly Detection](https://doi.org/10.1007/s11263-026-02743-0) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 2026-03-09 | Lars Heckler-Kram, Jan-Hendrik Neudeck, Ulla Scheler et al. |
| 7 | 27 | 3.5 | [“Congruence” and “Responsiveness” in the study of representation](https://doi.org/10.1007/s11127-026-01375-9) | [Public Choice](https://scholar4ai.com/journals/public-choice.md) | 2026-03-05 | John G. Matsusaka |
| 8 | 25 | 3.5 | [Power hungry: How AI will drive energy demand](https://doi.org/10.1016/j.eneco.2026.109278) | [Energy Economics](https://scholar4ai.com/journals/energy-economics.md) | 2026-03-23 | Christian Bogmans, Ganchimeg Ganpurev, Patricia Gomez-Gonzalez et al. |
| 9 | 24 | 3.2 | [SGDFuse: SAM-guided diffusion model for high-fidelity infrared and visible image fusion](https://doi.org/10.1016/j.inffus.2026.104290) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2026-03-15 | XiaoYang Zhang, Jie Li, Guodong Fan et al. |
| 10 | 23 | 3.0 | [Defining, assessing, and reporting saturation in qualitative research: Review and recommendations](https://doi.org/10.1016/j.leaqua.2026.101950) | [The Leadership Quarterly](https://scholar4ai.com/journals/the-leadership-quarterly.md) | 2026-03-05 | Ozias A. Moore, Herman Aguinis, Tanja R. Darden |

## Cite this page

Scholar4AI. (2026). Research published in March 2026. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/reports/2026-03

```bibtex
@misc{scholar4ai-reports-2026-03,
  author = {{Scholar4AI}},
  title = {Research published in March 2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/reports/2026-03}},
  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/).