Yun Li

183 total papers · 2.1k total citations
105 papers, 1.4k citations indexed

About

Yun Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yun Li has authored 105 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 33 papers in Computer Vision and Pattern Recognition and 19 papers in Signal Processing. Recurrent topics in Yun Li's work include Domain Adaptation and Few-Shot Learning (13 papers), Face and Expression Recognition (10 papers) and Multimodal Machine Learning Applications (9 papers). Yun Li is often cited by papers focused on Domain Adaptation and Few-Shot Learning (13 papers), Face and Expression Recognition (10 papers) and Multimodal Machine Learning Applications (9 papers). Yun Li collaborates with scholars based in China, United States and Australia. Yun Li's co-authors include Huan Liu, Tao Li, Chaowei Yang, Yongyao Jiang, Fei Hu, Lina Yao, Manzhu Yu, Jinsong Han, Jiang Xiao and Kaishun Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Pattern Recognition.

In The Last Decade

Yun Li

91 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yun Li 652 320 195 177 165 105 1.4k
Lin Mei 590 0.9× 638 2.0× 246 1.3× 197 1.1× 142 0.9× 70 1.7k
Vladimir Estivill‐Castro 789 1.2× 244 0.8× 299 1.5× 224 1.3× 298 1.8× 122 1.7k
Anca Ralescu 718 1.1× 382 1.2× 171 0.9× 198 1.1× 236 1.4× 155 1.7k
Shanshan Feng 699 1.1× 360 1.1× 529 2.7× 143 0.8× 154 0.9× 98 1.6k
Lei Shi 614 0.9× 708 2.2× 181 0.9× 166 0.9× 153 0.9× 100 1.8k
Zhenhua Huang 476 0.7× 271 0.8× 299 1.5× 169 1.0× 100 0.6× 58 1.1k
Chuanping Hu 503 0.8× 502 1.6× 228 1.2× 183 1.0× 100 0.6× 58 1.2k
Ke Wang 265 0.4× 189 0.6× 270 1.4× 152 0.9× 304 1.8× 113 1.3k
Michelangelo Ceci 877 1.3× 200 0.6× 320 1.6× 143 0.8× 219 1.3× 118 1.7k
Jiejun Xu 757 1.2× 424 1.3× 201 1.0× 126 0.7× 84 0.5× 48 1.6k

Countries citing papers authored by Yun Li

Since Specialization
Citations

This map shows the geographic impact of Yun 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 Yun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Li more than expected).

Fields of papers citing papers by Yun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun 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 Yun Li. The network helps show where Yun Li may publish in the future.

Co-authorship network of co-authors of Yun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Li. A scholar is included among the top collaborators of Yun 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 Yun Li. Yun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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