Papers on “few-shot learning”
Research on “few-shot learning” in the 480 tracked journals: papers per year and category, the journals, institutions and countries publishing it, the keywords studied with it and its most-cited papers. It is not among the most frequent keywords of the last 30 days, so this page has no list of its latest papers. Also as Markdown.
← Top research keywords · Keyword trends
Key findings#
- From 2017 to 2026 (so far), the keyword “few-shot learning” appeared in 832 papers in the tracked journals, most of them in AI (812), operations research (9) and information systems (4).
- 196 of them were published in 2025, against 5 in 2017.
- Since 2023, the institutions with the most of these papers were Xidian University (27), Chinese Academy of Sciences (24) and Nanyang Technological University (22).
- The journals publishing most of them were Expert Systems with Applications (102), Knowledge-Based Systems (96) and Pattern Recognition (72).
- The most-cited of them is “Learning to Prompt for Vision-Language Models” (International Journal of Computer Vision, 2022), with 3,314 citations.
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 5 | 2 | 12 | 25 | 42 | 86 | 136 | 160 | 191 | 153 |
| Operations Research | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 8 |
| Information Systems | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 |
| Higher Education and Research | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 |
| Economics | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| Finance | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| All categories | 5 | 2 | 12 | 26 | 43 | 86 | 136 | 163 | 196 | 163 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | Expert Systems with Applications | 102 |
| 2 | Knowledge-Based Systems | 96 |
| 3 | Pattern Recognition | 72 |
| 4 | Applied Intelligence | 48 |
| 5 | IEEE Transactions on Pattern Analysis and Machine Intelligence | 42 |
| 6 | IEEE Transactions on Neural Networks and Learning Systems | 40 |
| 7 | Neural Networks | 37 |
| 8 | Information Processing & Management | 27 |
| 9 | Neural Computing and Applications | 27 |
| 10 | International Journal of Computer Vision | 24 |
| # | Institution | Papers |
|---|---|---|
| 1 | Xidian University | 27 |
| 2 | Chinese Academy of Sciences | 24 |
| 3 | Nanyang Technological University | 22 |
| 4 | Tsinghua University | 20 |
| 5 | Xi'an Jiaotong University | 18 |
| 6 | Beijing Institute of Technology | 15 |
| 7 | Harbin Institute of Technology | 14 |
| 8 | Peking University | 14 |
| 9 | Hong Kong Polytechnic University | 13 |
| 10 | Huazhong University of Science and Technology | 13 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 496 |
| 2 | United States | 57 |
| 3 | United Kingdom | 39 |
| 4 | Singapore | 38 |
| 5 | Hong Kong | 37 |
| 6 | Australia | 30 |
| 7 | Canada | 20 |
| 8 | Italy | 17 |
| 9 | South Korea | 16 |
| 10 | India | 13 |
| # | Keyword | Papers |
|---|---|---|
| 1 | meta-learning | 81 |
| 2 | zero-shot learning | 59 |
| 3 | large language models | 55 |
| 4 | domain adaptation | 35 |
| 5 | vision-language models | 34 |
| 6 | CLIP | 29 |
| 7 | contrastive learning | 29 |
| 8 | data augmentation | 29 |
| 9 | data scarcity | 28 |
Most-cited papers#
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 3,314 | 64.8 | Learning to Prompt for Vision-Language Models | International Journal of Computer Vision | 2022-07-31 | Kaiyang Zhou, Jingkang Yang, Chen Change Loy et al. |
| 2 | 1,033 | 13.0 | Recent Advances in Open Set Recognition: A Survey | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2020-03-18 | Chuanxing Geng, Sheng-Jun Huang, Songcan Chen |
| 3 | 888 | 12.7 | Meta-Learning in Neural Networks: A Survey | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2021-01-01 | Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli et al. |
| 4 | 266 | 4.4 | Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects | Knowledge-Based Systems | 2021-10-27 | Yong Feng, Jinglong Chen, Jingsong Xie et al. |
| 5 | 240 | 5.9 | Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals | Expert Systems with Applications | 2023-06-08 | Jian Lin, Haidong Shao, Xiangdong Zhou et al. |
Cite this page
Scholar4AI. (2026). Papers on “few-shot learning”. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/keywords/few-shot-learning
@misc{scholar4ai-keywords-few-shot-learning,
author = {{Scholar4AI}},
title = {Papers on “few-shot learning”},
year = {2026},
howpublished = {\url{https://scholar4ai.com/keywords/few-shot-learning}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}