Papers on “label noise”
Research on “label noise” 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 “label noise” appeared in 606 papers in the tracked journals, most of them in AI (590), operations research (10) and statistics (3).
- 125 of them were published in 2025, against 15 in 2017.
- Since 2023, the institutions with the most of these papers were Xidian University (19), Chinese Academy of Sciences (16) and Hong Kong Baptist University (16).
- The journals publishing most of them were Pattern Recognition (64), Knowledge-Based Systems (53) and Expert Systems with Applications (47).
- The most-cited of them is “Learning From Noisy Labels With Deep Neural Networks: A Survey” (IEEE Transactions on Neural Networks and Learning Systems, 2022), with 1,344 citations.
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 14 | 16 | 18 | 25 | 35 | 65 | 85 | 102 | 121 | 109 |
| Operations Research | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 4 | 1 |
| Statistics | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 |
| Information Systems | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| Economics | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 15 | 16 | 18 | 26 | 38 | 66 | 87 | 102 | 125 | 113 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | Pattern Recognition | 64 |
| 2 | Knowledge-Based Systems | 53 |
| 3 | Expert Systems with Applications | 47 |
| 4 | IEEE Transactions on Pattern Analysis and Machine Intelligence | 40 |
| 5 | IEEE Transactions on Neural Networks and Learning Systems | 38 |
| 6 | Neural Networks | 33 |
| 7 | Applied Intelligence | 30 |
| 8 | Machine Learning | 21 |
| 9 | IEEE Transactions on Knowledge and Data Engineering | 17 |
| 10 | International Journal of Computer Vision | 15 |
| # | Institution | Papers |
|---|---|---|
| 1 | Xidian University | 19 |
| 2 | Chinese Academy of Sciences | 16 |
| 3 | Hong Kong Baptist University | 16 |
| 4 | Southeast University | 15 |
| 5 | Sichuan University | 14 |
| 6 | The University of Sydney | 14 |
| 7 | Xi'an Jiaotong University | 13 |
| 8 | Zhejiang University | 13 |
| 9 | Nanjing University of Science and Technology | 12 |
| 10 | Southwest Jiaotong University | 12 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 345 |
| 2 | Australia | 33 |
| 3 | Hong Kong | 30 |
| 4 | United States | 28 |
| 5 | United Kingdom | 17 |
| 6 | Japan | 17 |
| 7 | Singapore | 13 |
| 8 | France | 10 |
| 9 | India | 10 |
| 10 | Macao | 10 |
| # | Keyword | Papers |
|---|---|---|
| 1 | pseudo-labeling | 55 |
| 2 | class imbalance | 36 |
| 3 | semi-supervised learning | 33 |
| 4 | contrastive learning | 24 |
| 5 | graph neural networks | 24 |
| 6 | multi-label classification | 24 |
| 7 | label noise robustness | 22 |
| 8 | partial multi-label learning | 22 |
| 9 | label correction | 21 |
Most-cited papers#
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 1,344 | 24.0 | Learning From Noisy Labels With Deep Neural Networks: A Survey | IEEE Transactions on Neural Networks and Learning Systems | 2022-03-07 | Hwanjun Song, Minseok Kim, Dongmin Park et al. |
| 2 | 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. |
| 3 | 361 | 6.4 | Robust Multi-View Clustering With Incomplete Information | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2022-03-01 | Mouxing Yang, Yunfan Li, Peng Hu et al. |
| 4 | 339 | 4.9 | Image classification with deep learning in the presence of noisy labels: A survey | Knowledge-Based Systems | 2021-01-14 | Görkem Algan, İlkay Ulusoy |
| 5 | 199 | 3.1 | Affective Image Content Analysis: Two Decades Review and New Perspectives | IEEE Transactions on Pattern Analysis and Machine Intelligence | 2021-07-02 | Sicheng Zhao, Xingxu Yao, Jufeng Yang et al. |
Research ideas that follow this keyword#
Cite this page
Scholar4AI. (2026). Papers on “label noise”. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/keywords/label-noise
@misc{scholar4ai-keywords-label-noise,
author = {{Scholar4AI}},
title = {Papers on “label noise”},
year = {2026},
howpublished = {\url{https://scholar4ai.com/keywords/label-noise}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}