Sheng Jin

23 papers and 385 indexed citations i.

About

Sheng Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Sheng Jin has authored 23 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Sheng Jin’s work include Human Pose and Action Recognition (9 papers), Video Surveillance and Tracking Methods (7 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Sheng Jin is often cited by papers focused on Human Pose and Action Recognition (9 papers), Video Surveillance and Tracking Methods (7 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Sheng Jin collaborates with scholars based in China, Hong Kong and Australia. Sheng Jin's co-authors include Wentao Liu, Chen Qian, Wanli Ouyang, Changshui Zhang, Ping Luo, Xiaogang Wang, Kun Hwang, Dae Joong Kim, Se Ho Hwang and Jiang Lu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Sheng Jin i

Fields of papers citing papers by Sheng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sheng Jin

Since Specialization
Citations

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