Minghui Li

60 papers and 816 indexed citations i.

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 60 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Minghui Li’s work include Adversarial Robustness in Machine Learning (12 papers), Privacy-Preserving Technologies in Data (12 papers) and Cryptography and Data Security (10 papers). Minghui Li is often cited by papers focused on Adversarial Robustness in Machine Learning (12 papers), Privacy-Preserving Technologies in Data (12 papers) and Cryptography and Data Security (10 papers). Minghui Li collaborates with scholars based in China, Hong Kong and Australia. Minghui Li's co-authors include Qian Wang, Shengshan Hu, Yanjiao Chen, Cong Wang, Sherman S. M. Chow, Minxin Du, Xiangyang Luo, Hai Jin, T. J. Li and Z.R. Tang and has published in prestigious journals such as Bioinformatics, PLoS ONE and Applied Catalysis B Environment and Energy.

In The Last Decade

Co-authorship network of co-authors of Minghui Li i

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.

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).

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