Shengbo Chen

66 papers and 958 indexed citations i.

About

Shengbo Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shengbo Chen has authored 66 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 17 papers in Computer Networks and Communications and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shengbo Chen’s work include Privacy-Preserving Technologies in Data (11 papers), Human Pose and Action Recognition (6 papers) and Stochastic Gradient Optimization Techniques (5 papers). Shengbo Chen is often cited by papers focused on Privacy-Preserving Technologies in Data (11 papers), Human Pose and Action Recognition (6 papers) and Stochastic Gradient Optimization Techniques (5 papers). Shengbo Chen collaborates with scholars based in China, United States and Japan. Shengbo Chen's co-authors include Prasun Sinha, Ness B. Shroff, Keping Yu, Xinmei Zhao, Fachao Zhi, Ali Kashif Bashir, Cong Shen, Zhijun Li, Liang Peng and Feihong Deng and has published in prestigious journals such as Bioinformatics, Lab on a Chip and Sensors and Actuators B Chemical.

In The Last Decade

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

Fields of papers citing papers by Shengbo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shengbo Chen

Since Specialization
Citations

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

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