Dengyong Zhou

35 papers and 4.0k indexed citations i.

About

Dengyong Zhou is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dengyong Zhou has authored 35 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Computer Science Applications and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dengyong Zhou’s work include Mobile Crowdsensing and Crowdsourcing (13 papers), Auction Theory and Applications (8 papers) and Machine Learning and Data Classification (5 papers). Dengyong Zhou is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (13 papers), Auction Theory and Applications (8 papers) and Machine Learning and Data Classification (5 papers). Dengyong Zhou collaborates with scholars based in United States, Germany and China. Dengyong Zhou's co-authors include Bernhard Schölkopf, Jason Weston, Olivier Bousquet, Thomas Navin Lal, Gustau Camps‐Valls, Tatyana V. Bandos, Arthur Gretton, Jiayuan Huang, John Platt and Yi Mao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Dengyong Zhou i

Fields of papers citing papers by Dengyong Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dengyong Zhou

Since Specialization
Citations

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