--- title: "Monthly research reports: finance, economics, AI" description: "A fixed page for every month from October 2023 to September 2026: what the tracked journals published, which keywords grew, who published most and which papers are cited most. Built from the site's archive of every paper of the registered journals; the data are in /data/archive.json." url: https://scholar4ai.com/reports markdown_url: https://scholar4ai.com/reports.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "A fixed page for every month from October 2023 to September 2026: what the tracked journals published, which keywords grew, who published most and which papers are cited most." 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) --- # Monthly research reports A fixed page for every month from October 2023 to September 2026: what the tracked journals published, which keywords grew, who published most and which papers are cited most. Built from the site's archive of every paper of the registered journals; the data are in /data/archive.json. *Monthly reports, newest first* | Month | Papers | Top keywords | Most-cited paper | |---|---:|---|---| | [September 2026](https://scholar4ai.com/reports/2026-09.md) | 3,992 | large language models (124); China (120); Chinese listed companies (104) | [Government Share Ownership and Innovation: Evidence from European Listed Firms](https://scholar4ai.com/reports/2026-09.md) | | [August 2026](https://scholar4ai.com/reports/2026-08.md) | 3,853 | large language models (133); China (115); Chinese listed companies (92) | [What drives virtual influencers’ impact?](https://scholar4ai.com/reports/2026-08.md) | | [July 2026](https://scholar4ai.com/reports/2026-07.md) | 4,115 | large language models (137); China (133); Chinese listed companies (95) | [Can ChatGPT forecast stock price movements? Return predictability and large language models](https://scholar4ai.com/reports/2026-07.md) | | [June 2026](https://scholar4ai.com/reports/2026-06.md) | 4,302 | large language models (166); China (131); Chinese listed companies (113) | [Retrieval-augmented generation for natural language processing: a survey](https://scholar4ai.com/reports/2026-06.md) | | [May 2026](https://scholar4ai.com/reports/2026-05.md) | 4,201 | large language models (140); China (120); Chinese listed companies (89) | [Deep Time Series Models: A Comprehensive Survey and Benchmark](https://scholar4ai.com/reports/2026-05.md) | | [April 2026](https://scholar4ai.com/reports/2026-04.md) | 4,268 | China (151); large language models (151); Chinese listed companies (109) | [Graph Neural Networks for Graphs With Heterophily: A Survey](https://scholar4ai.com/reports/2026-04.md) | | [March 2026](https://scholar4ai.com/reports/2026-03.md) | 4,602 | large language models (149); China (148); Chinese listed companies (99) | [Artificial intelligence for information-driven resilience: Enhancing strategic adaptation and entrepreneurial success](https://scholar4ai.com/reports/2026-03.md) | | [February 2026](https://scholar4ai.com/reports/2026-02.md) | 3,968 | China (134); large language models (106); Chinese listed companies (89) | [RFAConv: Receptive-field attention convolution for improving convolutional neural networks](https://scholar4ai.com/reports/2026-02.md) | | [January 2026](https://scholar4ai.com/reports/2026-01.md) | 4,959 | large language models (174); China (131); Chinese listed companies (112) | [Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment](https://scholar4ai.com/reports/2026-01.md) | | [December 2025](https://scholar4ai.com/reports/2025-12.md) | 4,049 | China (160); Chinese listed companies (151); large language models (114) | [Accuracy, precision, recall, f1-score, or MCC? empirical evidence from advanced statistics, ML, and XAI for evaluating business predictive models](https://scholar4ai.com/reports/2025-12.md) | | [November 2025](https://scholar4ai.com/reports/2025-11.md) | 4,003 | China (139); Chinese listed companies (125); large language models (106) | [Agentic AI: a comprehensive survey of architectures, applications, and future directions](https://scholar4ai.com/reports/2025-11.md) | | [October 2025](https://scholar4ai.com/reports/2025-10.md) | 3,737 | China (133); Chinese listed companies (112); large language models (83) | [Theory and theory development: Guidelines for establishing theoretical gaps, foundations, contributions, and implications](https://scholar4ai.com/reports/2025-10.md) | | [September 2025](https://scholar4ai.com/reports/2025-09.md) | 3,366 | China (112); Chinese listed companies (86); large language models (79) | [Vision Mamba: A Comprehensive Survey and Taxonomy](https://scholar4ai.com/reports/2025-09.md) | | [August 2025](https://scholar4ai.com/reports/2025-08.md) | 3,954 | China (175); Chinese listed companies (122); corporate governance (94) | [AI Agents vs. Agentic AI: A Conceptual taxonomy, applications and challenges](https://scholar4ai.com/reports/2025-08.md) | | [July 2025](https://scholar4ai.com/reports/2025-07.md) | 4,628 | China (156); Chinese listed companies (110); large language models (93) | [Physics-informed neural networks for PDE problems: a comprehensive review](https://scholar4ai.com/reports/2025-07.md) | | [June 2025](https://scholar4ai.com/reports/2025-06.md) | 3,990 | China (141); Chinese listed companies (112); COVID-19 pandemic (78) | [YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series](https://scholar4ai.com/reports/2025-06.md) | | [May 2025](https://scholar4ai.com/reports/2025-05.md) | 4,325 | China (156); Chinese listed companies (105); financial constraints (83) | [Parameter-efficient fine-tuning in large language models: a survey of methodologies](https://scholar4ai.com/reports/2025-05.md) | | [April 2025](https://scholar4ai.com/reports/2025-04.md) | 3,755 | China (112); Chinese listed companies (89); financial constraints (68) | [A comprehensive survey of loss functions and metrics in deep learning](https://scholar4ai.com/reports/2025-04.md) | | [March 2025](https://scholar4ai.com/reports/2025-03.md) | 3,971 | China (144); Chinese listed companies (100); corporate governance (81) | [BERT applications in natural language processing: a review](https://scholar4ai.com/reports/2025-03.md) | | [February 2025](https://scholar4ai.com/reports/2025-02.md) | 3,809 | China (153); Chinese listed companies (97); financial constraints (78) | [Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research](https://scholar4ai.com/reports/2025-02.md) | | [January 2025](https://scholar4ai.com/reports/2025-01.md) | 4,228 | China (111); COVID-19 pandemic (77); Chinese listed companies (73) | – | | [December 2024](https://scholar4ai.com/reports/2024-12.md) | 3,965 | China (136); Chinese listed companies (91); state-owned enterprises (70) | – | | [November 2024](https://scholar4ai.com/reports/2024-11.md) | 3,652 | China (133); Chinese listed companies (96); corporate governance (82) | – | | [October 2024](https://scholar4ai.com/reports/2024-10.md) | 3,205 | China (123); COVID-19 pandemic (86); Chinese listed companies (76) | – | | [September 2024](https://scholar4ai.com/reports/2024-09.md) | 3,346 | China (143); COVID-19 pandemic (92); Chinese listed companies (84) | – | | [August 2024](https://scholar4ai.com/reports/2024-08.md) | 3,709 | China (104); COVID-19 pandemic (98); corporate governance (73) | – | | [July 2024](https://scholar4ai.com/reports/2024-07.md) | 3,673 | China (115); COVID-19 pandemic (90); corporate governance (72) | – | | [June 2024](https://scholar4ai.com/reports/2024-06.md) | 3,324 | China (108); COVID-19 pandemic (82); corporate governance (59) | – | | [May 2024](https://scholar4ai.com/reports/2024-05.md) | 3,808 | China (124); COVID-19 pandemic (84); corporate governance (69) | – | | [April 2024](https://scholar4ai.com/reports/2024-04.md) | 3,536 | China (106); COVID-19 pandemic (89); Chinese listed companies (66) | – | | [March 2024](https://scholar4ai.com/reports/2024-03.md) | 3,586 | COVID-19 pandemic (117); China (94); corporate governance (88) | – | | [February 2024](https://scholar4ai.com/reports/2024-02.md) | 3,492 | China (109); COVID-19 pandemic (89); corporate governance (61) | – | | [January 2024](https://scholar4ai.com/reports/2024-01.md) | 3,411 | China (106); COVID-19 pandemic (96); information asymmetry (51) | – | | [December 2023](https://scholar4ai.com/reports/2023-12.md) | 3,140 | COVID-19 pandemic (103); China (98); corporate governance (51) | – | | [November 2023](https://scholar4ai.com/reports/2023-11.md) | 3,424 | China (103); COVID-19 pandemic (88); attention mechanism (53) | – | | [October 2023](https://scholar4ai.com/reports/2023-10.md) | 3,287 | COVID-19 pandemic (97); China (83); corporate governance (61) | – | ## Cite this page Scholar4AI. (2026). Monthly research reports. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/reports ```bibtex @misc{scholar4ai-reports, author = {{Scholar4AI}}, title = {Monthly research reports}, year = {2026}, howpublished = {\url{https://scholar4ai.com/reports}}, 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/).