Yu-Feng Li

3.1k total citations
78 papers, 2.2k citations indexed

About

Yu-Feng Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yu-Feng Li has authored 78 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Yu-Feng Li's work include Machine Learning and Data Classification (28 papers), Text and Document Classification Technologies (24 papers) and Domain Adaptation and Few-Shot Learning (14 papers). Yu-Feng Li is often cited by papers focused on Machine Learning and Data Classification (28 papers), Text and Document Classification Technologies (24 papers) and Domain Adaptation and Few-Shot Learning (14 papers). Yu-Feng Li collaborates with scholars based in China, United States and Hong Kong. Yu-Feng Li's co-authors include Zhi‐Hua Zhou, Yuyin Sun, James T. Kwok, Sheng-Jun Huang, Min-Ling Zhang, Ivor W. Tsang, Hai‐Hu Wen, Xiyu Zhu, Rong Jin and Tianbao Yang and has published in prestigious journals such as Physical Review B, Scientific Reports and BMC Public Health.

In The Last Decade

Yu-Feng Li

73 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yu-Feng Li China 26 1.4k 955 159 128 124 78 2.2k
Koji Nakano Japan 26 841 0.6× 570 0.6× 207 1.3× 73 0.6× 215 1.7× 282 2.5k
Zhengdong Lu China 29 2.0k 1.5× 954 1.0× 336 2.1× 126 1.0× 221 1.8× 76 3.2k
Santosh S. Venkatesh United States 20 1.1k 0.8× 254 0.3× 49 0.3× 132 1.0× 28 0.2× 76 1.9k
Tsuyoshi Idé United States 18 370 0.3× 212 0.2× 74 0.5× 149 1.2× 75 0.6× 55 1.1k
Shengqi Yang China 28 761 0.6× 395 0.4× 274 1.7× 169 1.3× 22 0.2× 109 2.9k
Wenbin Zhang United States 19 607 0.4× 133 0.1× 214 1.3× 127 1.0× 34 0.3× 139 1.5k
Zhihui Wang China 24 1.7k 1.2× 1.0k 1.1× 69 0.4× 68 0.5× 78 0.6× 110 3.1k
Shinichi Nakajima Japan 17 1.0k 0.7× 580 0.6× 127 0.8× 217 1.7× 74 0.6× 105 2.0k
M. M. Sufyan Beg India 20 427 0.3× 478 0.5× 165 1.0× 65 0.5× 26 0.2× 107 1.5k

Countries citing papers authored by Yu-Feng Li

Since Specialization
Citations

This map shows the geographic impact of Yu-Feng Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yu-Feng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Feng Li more than expected).

Fields of papers citing papers by Yu-Feng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Feng Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yu-Feng Li. The network helps show where Yu-Feng Li may publish in the future.

Co-authorship network of co-authors of Yu-Feng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Feng Li. A scholar is included among the top collaborators of Yu-Feng Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu-Feng Li. Yu-Feng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Yu-Feng, et al.. (2025). Abductive Learning for Neuro-Symbolic Grounded Imitation. 1221–1232. 1 indexed citations
2.
Li, Yu-Feng, Chen Zhang, Tao Wu, et al.. (2025). Influence of Fracturing Fluid Properties on the Frictional Coefficient of Shale Rock and Hydraulic Fracture Length. Energy Engineering. 122(5). 1823–1837.
3.
Li, Yu-Feng, et al.. (2024). Research on the Application of Semantic Network in Disease Diagnosis Prompts Based on Medical Corpus. International Journal of Innovative Research in Computer Science & Technology. 12(2). 1–9. 10 indexed citations
4.
5.
Li, Yu-Feng, et al.. (2024). Offline Imitation Learning with Model-based Reverse Augmentation. 2608–2617. 2 indexed citations
6.
Tu, Wei-Wei, et al.. (2024). Safe Abductive Learning in the Presence of Inaccurate Rules. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16361–16369.
7.
8.
Zhou, Zhi, et al.. (2021). STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data. Neural Information Processing Systems. 34. 8 indexed citations
9.
Chen, Changjian, Zhaowei Wang, Jing Wu, et al.. (2021). Interactive Graph Construction for Graph-Based Semi-Supervised Learning. IEEE Transactions on Visualization and Computer Graphics. 27(9). 3701–3716. 27 indexed citations
10.
Zhang, Zhenyu, et al.. (2020). Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. International Conference on Machine Learning. 1. 3897–3906. 51 indexed citations
11.
Li, Yu-Feng, et al.. (2020). ιDOT: a DOT calculus with object initialization. Proceedings of the ACM on Programming Languages. 4(OOPSLA). 1–28. 2 indexed citations
12.
Li, Yu-Feng, et al.. (2019). Learning Compact Model for Large-Scale Multi-Label Data. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 5385–5392. 8 indexed citations
13.
Li, Yu-Feng, Ivor W. Tsang, James T. Kwok, & Zhi‐Hua Zhou. (2013). Convex and scalable weakly labeled SVMs. Journal of Machine Learning Research. 14(1). 2151–2188. 63 indexed citations
14.
Yang, Tianbao, Yu-Feng Li, Mehrdad Mahdavi, Rong Jin, & Zhi‐Hua Zhou. (2012). Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison. Neural Information Processing Systems. 25. 476–484. 121 indexed citations
15.
Lv, Yanling, Dongmei Yuan, Qingbo Wang, et al.. (2012). Baseline and decline of serum ADAM28 during chemotherapy of advanced non-small cell lung cancer: a probable predictive and prognostic factor. Medical Oncology. 29(4). 2633–2639. 6 indexed citations
16.
Li, Yu-Feng, Sheng-Jun Huang, & Zhihua Zhou. (2012). Regularized Semi-Supervised Multi-Label Learning. 49(6). 1272. 3 indexed citations
17.
Li, Yu-Feng & Zhi‐Hua Zhou. (2011). Towards Making Unlabeled Data Never Hurt. International Conference on Machine Learning. 1081–1088. 58 indexed citations
18.
Yang, Yu, Yu-Feng Li, & Zhi‐Hua Zhou. (2011). Diversity regularized machine. International Joint Conference on Artificial Intelligence. 1603–1608. 35 indexed citations
19.
Li, Yu-Feng & Zhi‐Hua Zhou. (2010). S4VM: Safe Semi-Supervised Support Vector Machine. arXiv (Cornell University). 8 indexed citations
20.
Li, Yu-Feng, Ivor W. Tsang, James T. Kwok, & Zhi‐Hua Zhou. (2009). Tighter and convex maximum margin clustering. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 344–351. 84 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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