Jian-Ping Mei

31 papers and 1.1k indexed citations i.

About

Jian-Ping Mei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jian-Ping Mei has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Jian-Ping Mei’s work include Advanced Clustering Algorithms Research (12 papers), Face and Expression Recognition (8 papers) and Text and Document Classification Technologies (8 papers). Jian-Ping Mei is often cited by papers focused on Advanced Clustering Algorithms Research (12 papers), Face and Expression Recognition (8 papers) and Text and Document Classification Technologies (8 papers). Jian-Ping Mei collaborates with scholars based in China, Singapore and Germany. Jian-Ping Mei's co-authors include Lihui Chen, Peng Yang, Xiaoli Li, Chee-Keong Kwoh, Chun Chen, Defang Chen, Feng Yan, Jie Zheng, Yangtao Wang and Can Wang and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Jian-Ping Mei i

Fields of papers citing papers by Jian-Ping Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian-Ping Mei. 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 Jian-Ping Mei. The network helps show where Jian-Ping Mei may publish in the future.

Countries citing papers authored by Jian-Ping Mei

Since Specialization
Citations

This map shows the geographic impact of Jian-Ping Mei'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 Jian-Ping Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian-Ping Mei 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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