Cong Lin

78 papers and 1.1k indexed citations i.

About

Cong Lin is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Cong Lin has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 22 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Cong Lin’s work include Advanced Image and Video Retrieval Techniques (8 papers), Digital Media Forensic Detection (7 papers) and Video Surveillance and Tracking Methods (7 papers). Cong Lin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Digital Media Forensic Detection (7 papers) and Video Surveillance and Tracking Methods (7 papers). Cong Lin collaborates with scholars based in China, United States and Macao. Cong Lin's co-authors include Mingxing Jin, Hang Yin, Dajun Ding, Ying Shi, Baiqu Huang, Jun Lü, Yu Zhang, Wei Lu, Lingxia Liu and Zhongwei Li and has published in prestigious journals such as Journal of Biological Chemistry, The Science of The Total Environment and Oncogene.

In The Last Decade

Co-authorship network of co-authors of Cong Lin i

Fields of papers citing papers by Cong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cong Lin

Since Specialization
Citations

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