Wenxi Li

89 total papers · 413 total citations
35 papers, 280 citations indexed

About

Wenxi Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Wenxi Li has authored 35 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Plant Science. Recurrent topics in Wenxi Li's work include Advanced Topics in Algebra (5 papers), Rings, Modules, and Algebras (5 papers) and Algebraic structures and combinatorial models (3 papers). Wenxi Li is often cited by papers focused on Advanced Topics in Algebra (5 papers), Rings, Modules, and Algebras (5 papers) and Algebraic structures and combinatorial models (3 papers). Wenxi Li collaborates with scholars based in China, United States and Japan. Wenxi Li's co-authors include Shu Qin, Yiliang He, Jiahui Shao, Changwei Tan, Zhixiang Wang, Wenshan Guo, H. Susan Zhou, Ziqiang Xu, Jianlong Chen and Yunsi Fei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Wenxi Li

27 papers receiving 271 citations

Author Peers

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

Author Last Decade Papers Cites
Wenxi Li 100 68 64 40 37 35 280
Weiping Yang 111 1.1× 47 0.7× 24 0.4× 72 1.8× 21 0.6× 38 325
Zhaomei Qiu 113 1.1× 20 0.3× 18 0.3× 34 0.8× 24 0.6× 30 312
Yadong Yang 64 0.6× 24 0.4× 24 0.4× 46 1.1× 14 0.4× 45 280
Xiaomin Huang 34 0.3× 39 0.6× 27 0.4× 31 0.8× 8 0.2× 40 309
Sarah Abdul Razak 95 0.9× 15 0.2× 25 0.4× 21 0.5× 48 1.3× 34 304
Rakesh Ranjan 220 2.2× 62 0.9× 46 0.7× 13 0.3× 17 0.5× 30 321
Muhammad Achirul Nanda 48 0.5× 27 0.4× 10 0.2× 26 0.7× 11 0.3× 35 312
Volker Dworak 182 1.8× 65 1.0× 11 0.2× 31 0.8× 63 1.7× 17 306
Takuji Kiura 160 1.6× 34 0.5× 46 0.7× 9 0.2× 23 0.6× 40 329
Yue Sun 94 0.9× 75 1.1× 18 0.3× 22 0.6× 23 0.6× 39 325

Countries citing papers authored by Wenxi Li

Since Specialization
Citations

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

Fields of papers citing papers by Wenxi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenxi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Wenxi Li. A scholar is included among the top collaborators of Wenxi 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 Wenxi Li. Wenxi 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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2026