Yu-Feng Li

57 papers and 1.7k indexed citations i.

About

Yu-Feng Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Yu-Feng Li has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 6 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Yu-Feng Li’s work include Machine Learning and Data Classification (22 papers), Text and Document Classification Technologies (16 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Yu-Feng Li is often cited by papers focused on Machine Learning and Data Classification (22 papers), Text and Document Classification Technologies (16 papers) and Domain Adaptation and Few-Shot Learning (11 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, Min-Ling Zhang, Sheng-Jun Huang, James T. Kwok, Ivor W. Tsang, Hai‐Hu Wen, Xiyu Zhu, Mehrdad Mahdavi and Rong Jin and has published in prestigious journals such as Physical Review B, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

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

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.

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).

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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2025