Feilong Cao

175 papers and 2.2k indexed citations i.

About

Feilong Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Feilong Cao has authored 175 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Computer Vision and Pattern Recognition, 72 papers in Artificial Intelligence and 55 papers in Computational Mechanics. Recurrent topics in Feilong Cao’s work include Neural Networks and Applications (43 papers), Face and Expression Recognition (27 papers) and Machine Learning and ELM (24 papers). Feilong Cao is often cited by papers focused on Neural Networks and Applications (43 papers), Face and Expression Recognition (27 papers) and Machine Learning and ELM (24 papers). Feilong Cao collaborates with scholars based in China, Australia and South Korea. Feilong Cao's co-authors include Jianwei Zhao, Hailiang Ye, Yu Guang Wang, Zhixiang Chen, Yubo Yuan, Zhenghua Zhou, Dianhui Wang, Wenhui Guo, Zongben Xu and Zongben Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

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

Fields of papers citing papers by Feilong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feilong Cao

Since Specialization
Citations

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