Shu Kong

44 papers and 880 indexed citations i.

About

Shu Kong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Shu Kong has authored 44 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Shu Kong’s work include Domain Adaptation and Few-Shot Learning (9 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Face and Expression Recognition (6 papers). Shu Kong is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Face and Expression Recognition (6 papers). Shu Kong collaborates with scholars based in United States, China and Macao. Shu Kong's co-authors include Charless C. Fowlkes, Deva Ramanan, Donghui Wang, Yu-Xiong Wang, Surangi W. Punyasena, Donghui Wang, Francisca E. Oboh‐Ikuenobe, Carlos Jaramillo, Michael A. Urban and Daeyun Shin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of The Electrochemical Society.

In The Last Decade

Co-authorship network of co-authors of Shu Kong i

Fields of papers citing papers by Shu Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shu Kong

Since Specialization
Citations

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