Chris Ding

173 papers and 9.2k indexed citations i.

About

Chris Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Chris Ding has authored 173 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Vision and Pattern Recognition, 81 papers in Artificial Intelligence and 32 papers in Molecular Biology. Recurrent topics in Chris Ding’s work include Face and Expression Recognition (52 papers), Sparse and Compressive Sensing Techniques (27 papers) and Bioinformatics and Genomic Networks (16 papers). Chris Ding is often cited by papers focused on Face and Expression Recognition (52 papers), Sparse and Compressive Sensing Techniques (27 papers) and Bioinformatics and Genomic Networks (16 papers). Chris Ding collaborates with scholars based in United States, China and Singapore. Chris Ding's co-authors include Hanchuan Peng, Heng Huang, Feiping Nie, Xiao Cai, Michael I. Jordan, Tao Li, Inna Dubchak, Hua Wang, Tao Li and Horst D. Simon and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

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

Fields of papers citing papers by Chris Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chris Ding

Since Specialization
Citations

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