Long Chen

441 papers and 9.7k indexed citations i.

About

Long Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Long Chen has authored 441 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Computer Vision and Pattern Recognition, 72 papers in Artificial Intelligence and 64 papers in Computational Mechanics. Recurrent topics in Long Chen’s work include Advanced Numerical Methods in Computational Mathematics (40 papers), Face and Expression Recognition (36 papers) and Remote-Sensing Image Classification (29 papers). Long Chen is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (40 papers), Face and Expression Recognition (36 papers) and Remote-Sensing Image Classification (29 papers). Long Chen collaborates with scholars based in China, Macao and United States. Long Chen's co-authors include C. L. Philip Chen, Xinlei Zhao, Min Gan, Jiabin Yuan, Lu Zhang, Kai Zhao, Zhi Da, Zhuo Chen, Yongduan Song and Jinchao Xu and has published in prestigious journals such as Angewandte Chemie International Edition, Advanced Materials and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Long Chen i

Fields of papers citing papers by Long Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Chen

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025