Kai Feng

15 papers and 170 indexed citations i.

About

Kai Feng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Kai Feng has authored 15 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Kai Feng’s work include Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers) and Smart Agriculture and AI (2 papers). Kai Feng is often cited by papers focused on Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers) and Smart Agriculture and AI (2 papers). Kai Feng collaborates with scholars based in China and United States. Kai Feng's co-authors include Jingyuan Wang, Haiqing Wang, Shuqi Shang, Dongwei Wang, Xin Zhao, Ning Wu, Tong Xiao, Han Hong, Ke Tang and Junjie Wu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Electronics and Journal of Visual Communication and Image Representation.

In The Last Decade

Co-authorship network of co-authors of Kai Feng i

Fields of papers citing papers by Kai Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Feng

Since Specialization
Citations

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