Hugging Face Hub
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Key findings#
- From Nov 2023 to Oct 2026, 449 archived papers mentioned Hugging Face Hub in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (20).
- Hugging Face Hub was mentioned in 13 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #13 of the 255 datasets mentioned.
- By journal category: AI (9), Marketing (1), Tourism and Hospitality (1), Operations Research (1) and Finance (1).
- Most of them appeared in Language Resources and Evaluation (2), Artificial Intelligence Review (2) and Applied Intelligence (1).
- From 2017 to 2026 (so far), Hugging Face Hub was mentioned in 460 papers in the tracked journals, most of them in AI (360), information systems (24) and higher education and research (22).
- 160 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (13), Chinese University of Hong Kong (8) and Tsinghua University (8).
- The journals publishing most of them were Expert Systems with Applications (31), IEEE Transactions on Pattern Analysis and Machine Intelligence (29) and Language Resources and Evaluation (28).
- The most-cited of them is “Augmenting large language models with chemistry tools” (Nature Machine Intelligence, 2024), with 795 citations.
- Papers use Hugging Face Hub most often with Twitter / X (120), Wikipedia (92) and Facebook (63); it has 76 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.
Mentions over 36 months#
| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---|---|---|---|
| 115 | 158 | 176 | 449 |
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 94 | 125 | 114 |
| Information Systems | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 2 | 12 |
| Higher Education and Research | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | 8 |
| Management | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | 3 |
| Finance | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 8 |
| Economics | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 |
| Operations Research | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 |
| Tourism and Hospitality | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 |
| Marketing | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |
| Statistics | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 116 | 160 | 154 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | Expert Systems with Applications | 31 |
| 2 | IEEE Transactions on Pattern Analysis and Machine Intelligence | 29 |
| 3 | Language Resources and Evaluation | 28 |
| 4 | Neural Computing and Applications | 26 |
| 5 | Nature Machine Intelligence | 24 |
| 6 | Artificial Intelligence Review | 22 |
| 7 | Knowledge-Based Systems | 22 |
| 8 | Machine Learning | 19 |
| 9 | International Journal of Computer Vision | 18 |
| 10 | Information Processing & Management | 17 |
| # | Institution | Papers |
|---|---|---|
| 1 | Chinese Academy of Sciences | 13 |
| 2 | Chinese University of Hong Kong | 8 |
| 3 | Tsinghua University | 8 |
| 4 | Beihang University | 7 |
| 5 | Nanyang Technological University | 7 |
| 6 | Shanghai Jiao Tong University | 7 |
| 7 | Australian National University | 6 |
| 8 | Centre National de la Recherche Scientifique | 6 |
| 9 | Hong Kong Polytechnic University | 6 |
| 10 | University of Bologna | 6 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 97 |
| 2 | United States | 69 |
| 3 | United Kingdom | 60 |
| 4 | Germany | 54 |
| 5 | Italy | 46 |
| 6 | Spain | 31 |
| 7 | Australia | 27 |
| 8 | France | 25 |
| 9 | Hong Kong | 23 |
| 10 | Singapore | 18 |
| # | Keyword | Papers |
|---|---|---|
| 1 | large language models | 129 |
| 2 | BERT | 23 |
| 3 | fine-tuning | 20 |
| 4 | low-resource languages | 20 |
| 5 | generative AI | 15 |
| 6 | sentiment analysis | 15 |
| 7 | transformer models | 15 |
| 8 | retrieval-augmented generation | 14 |
| 9 | ChatGPT | 12 |
| 10 | contrastive learning | 12 |
Most-cited papers#
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 795 | 26.6 | Augmenting large language models with chemistry tools | Nature Machine Intelligence | 2024-05-08 | Andres M Bran, Sam Cox, Oliver Tobias Schilter et al. |
| 2 | 606 | 17.3 | Generative artificial intelligence | Electronic Markets | 2023-12-01 | Leonardo Banh, Gero Strobel |
| 3 | 456 | 12.3 | A survey of the vision transformers and their CNN-transformer based variants | Artificial Intelligence Review | 2023-10-03 | Asifullah Khan, Asifullah Khan, Zunaira Rauf et al. |
| 4 | 427 | 126.2 | Can ChatGPT forecast stock price movements? Return predictability and large language models | Journal of Financial Economics | 2026-07-24 | Alejandro Lopez-Lira, Yuehua Tang |
| 5 | 377 | 10.7 | Structured Pruning for Deep Convolutional Neural Networks: A Survey | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2023-11-28 | Yang He, Lingao Xiao |
Used together with#
| Used with | Type | Papers using both | Lift |
|---|---|---|---|
| Twitter / X | Dataset | 120 | 2.8 |
| Wikipedia | Dataset | 92 | 8.7 |
| Dataset | 63 | 2.2 | |
| ImageNet | Dataset | 54 | 2.1 |
| Dataset | 44 | 7.4 | |
| Pre-training corpora (Common Crawl, C4, The Pile) | Dataset | 43 | 35.0 |
| CoNLL | Dataset | 36 | 25.2 |
| YouTube / TikTok | Dataset | 33 | 1.8 |
| Natural language inference (SNLI, MultiNLI) | Dataset | 30 | 29.2 |
| GLUE / SuperGLUE | Dataset | 27 | 22.6 |
| MMLU | Dataset | 27 | 30.9 |
| MS COCO | Dataset | 27 | 2.9 |
| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-29 | KoshurCorpus: expanding the Kashmiri-English resource for machine translation | Language Resources and Evaluation | Syed Matla Ul Qumar, M. Nayyar Azim, S. M. K. Quadri | Jamia Millia Islamia |
| 2026-10-29 | Explainable cross-attention fusion with convolutional vision transformers for multi-view Alzheimer’s disease staging | Applied Intelligence | Sergio Alejandro Holguín-García, Luis Miguel Cardona-Perez, Ernesto Guevara-Navarro et al. | Universidad de Caldas; Universidad Autonoma de Manizales; Universidad Icesi; … |
| 2026-10-29 | Foundation model for particle collision data analysis | Nature Machine Intelligence | Ting-Hsiang Hsu, Bai-Hong Zhou, Qibin Liu et al. | University of Washington; SLAC National Accelerator Laboratory; Stanford University; … |
| 2026-10-28 | Corporate Digital Responsibility Communication, Stakeholder Engagement, and Public Trust in AI: The Mediating Roles of Bias Remediation and Organizational Responsiveness | Corporate Reputation Review | Joon Soo Lim, Chunsik Lee, Junga Kim et al. | Syracuse University; University of North Florida; Texas Tech University |
| 2026-10-27 | The evolution of tool use in LLM agents: from single-tool call to multi-tool orchestration | Artificial Intelligence Review | Haoyuan Xu, Chang Li, Xinyan Ma et al. | Harbin Institute of Technology; Harvard University; Huawei Technologies (China) |
| 2026-10-25 | EGY-MER: Establishing The First Egyptian Arabic Multimodal Emotion Recognition Dataset for Affective Computing | Language Resources and Evaluation | Amany Hussein, May Hussien, Ammar Hassona et al. | German International University; German University in Cairo; Universität Ulm |
| 2026-10-23 | Retrieval-augmented generation in biomedicine: a survey of technologies, datasets, and clinical applications | Artificial Intelligence Review | Jiawei He, Boya Zhang, Hossein Rouhizadeh et al. | University of Geneva; Hunan City University; Henan University; … |
| 2026-10-20 | Weighted UnLearning from Experience for Improved Spurious Correlation Robustness | Machine Learning | Jeff Mitchell, Jesus Martinez-del-Rincon, Niall McLaughlin | Queen's University Belfast |
| 2026-10-20 | Test-Time Computing for Referring Multimodal Large Language Models | International Journal of Computer Vision | Mingrui Wu, Hao Chen, Jiayi Ji et al. | Xiamen University; Tsinghua University; Nankai University |
| 2026-10-18 | The AI gaze and imagined places: Co-creation and negotiation with the generative AI assemblage | Annals of Tourism Research Empirical Insights | Michał Rzeszewski, Phil Jones, Maciej Główczyński et al. | Adam Mickiewicz University in Poznań; University of Birmingham; University of Reading |
| 2026-10-16 | Evaluating LLMs for named entity recognition: a cost-benefit analysis in the legal domain | Knowledge and Information Systems | Shefali Singhal, Eoin O’Connell, Niall McCarroll et al. | University of Ulster; Ulster University, Derry-Londonderry Campus |
| 2026-10-15 | Transformer Architectures for Respiratory Sound Analysis and Multimodal Diagnosis | Operations Research Forum | Theodore Aptekarev, Vladimir Sokolovsky, G. B. Furman et al. | National Research University Higher School of Economics; Ben-Gurion University of the Negev; Perm State Medical Academy |
| 2026-10-06 | Chronologically consistent large language models | Journal of Financial Economics | Songrun He, Linying Lv, Asaf Manela et al. | Chinese University of Hong Kong; Washington University in St. Louis; University of Iowa |
Cite this page
Scholar4AI. (2026). Hugging Face Hub. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/hugging-face-hub
@misc{scholar4ai-datasets-hugging-face-hub,
author = {{Scholar4AI}},
title = {Hugging Face Hub},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/hugging-face-hub}},
urldate = {2026-11-04},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}