Yufei Li

91 total papers · 648 total citations
42 papers, 431 citations indexed

About

Yufei Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yufei Li has authored 42 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Yufei Li's work include Topic Modeling (5 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Vision and Imaging (4 papers). Yufei Li is often cited by papers focused on Topic Modeling (5 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Vision and Imaging (4 papers). Yufei Li collaborates with scholars based in China, United States and United Kingdom. Yufei Li's co-authors include Wenping Wang, Yang Liu, Baining Guo, Weiwei Xu, Xiaotao Huang, Yuan Wang, Qin Wang, Qian Chen, Lan Huang and Yan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Econometrics.

In The Last Decade

Yufei Li

38 papers receiving 407 citations

Author Peers

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

Author Last Decade Papers Cites
Yufei Li 123 118 89 79 49 42 431
Chaman L. Sabharwal 84 0.7× 99 0.8× 72 0.8× 96 1.2× 23 0.5× 60 377
Zhihao Lin 58 0.5× 146 1.2× 197 2.2× 134 1.7× 32 0.7× 20 482
Herman Haverkort 157 1.3× 46 0.4× 83 0.9× 140 1.8× 56 1.1× 38 470
Alberto Paoluzzi 180 1.5× 134 1.1× 17 0.2× 98 1.2× 10 0.2× 54 407
Boaz Ben‐Moshe 135 1.1× 18 0.2× 88 1.0× 106 1.3× 21 0.4× 71 486
Liang Sun 39 0.3× 58 0.5× 117 1.3× 14 0.2× 24 0.5× 39 394
Andrey N. Chernikov 293 2.4× 131 1.1× 19 0.2× 111 1.4× 9 0.2× 41 445
Bruno Raffin 99 0.8× 73 0.6× 30 0.3× 248 3.1× 16 0.3× 41 445
Cristiana Bentes 38 0.3× 20 0.2× 54 0.6× 85 1.1× 20 0.4× 42 428
Fangxun Bao 25 0.2× 77 0.7× 111 1.2× 87 1.1× 17 0.3× 28 461

Countries citing papers authored by Yufei Li

Since Specialization
Citations

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

Fields of papers citing papers by Yufei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yufei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yufei Li. A scholar is included among the top collaborators of Yufei 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 Yufei Li. Yufei 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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