Minghui Li

141 total papers · 1.7k total citations
83 papers, 1.1k citations indexed

About

Minghui Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Minghui Li has authored 83 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Minghui Li's work include Adversarial Robustness in Machine Learning (18 papers), Privacy-Preserving Technologies in Data (13 papers) and Cryptography and Data Security (10 papers). Minghui Li is often cited by papers focused on Adversarial Robustness in Machine Learning (18 papers), Privacy-Preserving Technologies in Data (13 papers) and Cryptography and Data Security (10 papers). Minghui Li collaborates with scholars based in China, Australia and Hong Kong. Minghui Li's co-authors include Qian Wang, Shengshan Hu, Yanjiao Chen, Hai Jin, Cong Wang, Leo Yu Zhang, Xiangyang Luo, Sherman S. M. Chow, Minxin Du and Yonggang Zhang and has published in prestigious journals such as Bioinformatics, PLoS ONE and Applied Catalysis B: Environmental.

In The Last Decade

Minghui Li

70 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Minghui Li 431 236 198 146 114 83 1.1k
Muhammad Iqbal 454 1.1× 75 0.3× 150 0.8× 250 1.7× 9 0.1× 76 1.5k
Meng Han 427 1.0× 120 0.5× 330 1.7× 50 0.3× 48 0.4× 49 1.0k
Yun Li 509 1.2× 221 0.9× 403 2.0× 58 0.4× 35 0.3× 104 1.3k
Satya Prakash Yadav 164 0.4× 126 0.5× 137 0.7× 119 0.8× 7 0.1× 89 1.2k
Shuxiang Xu 475 1.1× 293 1.2× 153 0.8× 59 0.4× 26 0.2× 68 1.3k
Shuhong Chen 372 0.9× 132 0.6× 143 0.7× 145 1.0× 47 0.4× 95 1.3k
Liangyin Chen 245 0.6× 157 0.7× 101 0.5× 210 1.4× 18 0.2× 91 1.1k
Xiaolu Zhang 321 0.7× 223 0.9× 153 0.8× 287 2.0× 4 0.0× 100 1.1k
Hongwei Ding 344 0.8× 105 0.4× 172 0.9× 154 1.1× 17 0.1× 80 939
Xiaoyuan Yang 336 0.8× 394 1.7× 242 1.2× 447 3.1× 14 0.1× 113 1.2k

Countries citing papers authored by Minghui Li

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghui Li

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