Hong Chen

103 papers and 1.1k indexed citations i.

About

Hong Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Hong Chen has authored 103 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 31 papers in Computational Mechanics. Recurrent topics in Hong Chen’s work include Face and Expression Recognition (27 papers), Sparse and Compressive Sensing Techniques (26 papers) and Machine Learning and ELM (9 papers). Hong Chen is often cited by papers focused on Face and Expression Recognition (27 papers), Sparse and Compressive Sensing Techniques (26 papers) and Machine Learning and ELM (9 papers). Hong Chen collaborates with scholars based in China, Macao and United States. Hong Chen's co-authors include Luoqing Li, Yulong Wang, Jiangtao Peng, Jong‐Gwan Yook, Eakhwan Song, Yong–June Shin, J.B. Park, E.J. Powers, Yicong Zhou and Song-Chun Zhu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Hong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hong Chen

Since Specialization
Citations

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