Ke Qin

65 papers and 1.0k indexed citations i.

About

Ke Qin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ke Qin has authored 65 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 14 papers in Computer Networks and Communications. Recurrent topics in Ke Qin’s work include Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers) and Neural Networks and Applications (7 papers). Ke Qin is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers) and Neural Networks and Applications (7 papers). Ke Qin collaborates with scholars based in China, Canada and Norway. Ke Qin's co-authors include Guangchun Luo, Chunhu Li, Chunbao Li, Shen‐En Qian, Guangyi Chen, Ling Tian, Bo Li, Yongsheng Yang, Bing Xiao and Guoming Lu and has published in prestigious journals such as Sensors, IEEE Access and TrAC Trends in Analytical Chemistry.

In The Last Decade

Co-authorship network of co-authors of Ke Qin i

Fields of papers citing papers by Ke Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ke Qin

Since Specialization
Citations

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