Papers on “pseudo-labeling”
Research on “pseudo-labeling” 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.
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Key findings#
- From 2017 to 2026 (so far), the keyword “pseudo-labeling” appeared in 949 papers in the tracked journals, most of them in AI (931), operations research (10) and information systems (7).
- 232 of them were published in 2025, against 4 in 2017.
- Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (35), Northwestern Polytechnical University (35) and Harbin Institute of Technology (21).
- The journals publishing most of them were Pattern Recognition (150), Expert Systems with Applications (128) and Knowledge-Based Systems (92).
- The most-cited of them is “A Survey on Deep Semi-Supervised Learning” (IEEE Transactions on Knowledge and Data Engineering, 2022), with 950 citations.
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 4 | 11 | 8 | 23 | 38 | 95 | 134 | 175 | 227 | 216 |
| Operations Research | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 1 | 2 | 3 |
| Information Systems | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 3 | 1 |
| Statistics | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| All categories | 4 | 11 | 8 | 23 | 38 | 98 | 138 | 177 | 232 | 220 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | Pattern Recognition | 150 |
| 2 | Expert Systems with Applications | 128 |
| 3 | Knowledge-Based Systems | 92 |
| 4 | IEEE Transactions on Pattern Analysis and Machine Intelligence | 70 |
| 5 | Neural Networks | 58 |
| 6 | IEEE Transactions on Neural Networks and Learning Systems | 50 |
| 7 | International Journal of Computer Vision | 35 |
| 8 | Applied Intelligence | 35 |
| 9 | Information Processing & Management | 22 |
| 10 | IEEE Transactions on Knowledge and Data Engineering | 20 |
| # | Institution | Papers |
|---|---|---|
| 1 | Chinese Academy of Sciences | 35 |
| 2 | Northwestern Polytechnical University | 35 |
| 3 | Harbin Institute of Technology | 21 |
| 4 | Jilin University | 21 |
| 5 | University of Chinese Academy of Sciences | 21 |
| 6 | Southwest Jiaotong University | 18 |
| 7 | Sun Yat-sen University | 18 |
| 8 | University of Electronic Science and Technology of China | 18 |
| 9 | Zhejiang University | 18 |
| 10 | Nanyang Technological University | 17 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 639 |
| 2 | Australia | 48 |
| 3 | United States | 43 |
| 4 | United Kingdom | 39 |
| 5 | Hong Kong | 35 |
| 6 | Singapore | 31 |
| 7 | South Korea | 24 |
| 8 | Macao | 16 |
| 9 | India | 14 |
| 10 | Canada | 13 |
| # | Keyword | Papers |
|---|---|---|
| 1 | semi-supervised learning | 158 |
| 2 | unlabeled data | 80 |
| 3 | contrastive learning | 74 |
| 4 | unsupervised domain adaptation | 63 |
| 5 | self-training | 60 |
| 6 | label noise | 55 |
| 7 | self-supervised learning | 48 |
| 8 | limited labeled data | 44 |
| 9 | domain adaptation | 39 |
Most-cited papers#
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 950 | 19.9 | A Survey on Deep Semi-Supervised Learning | IEEE Transactions on Knowledge and Data Engineering | 2022-11-08 | Xiangli Yang, Zixing Song, Irwin King et al. |
| 2 | 547 | 7.8 | Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation | International Journal of Computer Vision | 2021-01-06 | Zhedong Zheng, Yi Yang |
| 3 | 392 | 5.6 | Self-Correction for Human Parsing | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2020-12-29 | Peike Li, Yunqiu Xu, Yunchao Wei et al. |
| 4 | 254 | 4.9 | Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering | IEEE Transactions on Knowledge and Data Engineering | 2022-07-25 | Jie Xu, Yazhou Ren, Huayi Tang et al. |
| 5 | 251 | 7.4 | Deep semi-supervised learning for medical image segmentation: A review | Expert Systems with Applications | 2024-01-03 | Kai Han, Victor S. Sheng, Yuqing Song et al. |
Research ideas that follow this keyword#
Cite this page
Scholar4AI. (2026). Papers on “pseudo-labeling”. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/keywords/pseudo-labeling
@misc{scholar4ai-keywords-pseudo-labeling,
author = {{Scholar4AI}},
title = {Papers on “pseudo-labeling”},
year = {2026},
howpublished = {\url{https://scholar4ai.com/keywords/pseudo-labeling}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}