Wei Ding

113 papers and 3.2k indexed citations i.

About

Wei Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Wei Ding has authored 113 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 20 papers in Information Systems. Recurrent topics in Wei Ding’s work include Data Mining Algorithms and Applications (14 papers), Machine Learning and Data Classification (12 papers) and Face and Expression Recognition (11 papers). Wei Ding is often cited by papers focused on Data Mining Algorithms and Applications (14 papers), Machine Learning and Data Classification (12 papers) and Face and Expression Recognition (11 papers). Wei Ding collaborates with scholars based in United States, China and Australia. Wei Ding's co-authors include Xindong Wu, Xingquan Zhu, Gongqing Wu, Kui Yu, T. F. Stepinski, Jian Pei, Yang Mu, Hao Wang, Ping Chen and L. Bandeira and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, British Journal of Cancer and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Wei Ding i

Fields of papers citing papers by Wei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei Ding

Since Specialization
Citations

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