Feng Cao

75 papers and 1.1k indexed citations i.

About

Feng Cao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Feng Cao has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Feng Cao’s work include Cryptography and Data Security (7 papers), Logic, programming, and type systems (6 papers) and Logic, Reasoning, and Knowledge (6 papers). Feng Cao is often cited by papers focused on Cryptography and Data Security (7 papers), Logic, programming, and type systems (6 papers) and Logic, Reasoning, and Knowledge (6 papers). Feng Cao collaborates with scholars based in China, United Kingdom and United States. Feng Cao's co-authors include Peter H. McMurry, Kihong Park, David B. Kittelson, Yong Ge, Jinfeng Wang, Zhenfu Cao, Yunyan Du, Wei Wen, D. Frank Hsu and Min Ji and has published in prestigious journals such as Environmental Science & Technology, Marine Pollution Bulletin and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Feng Cao i

Fields of papers citing papers by Feng Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Cao

Since Specialization
Citations

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