Feng Dai

41 papers and 1.4k indexed citations i.

About

Feng Dai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Feng Dai has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Feng Dai’s work include Advanced Image and Video Retrieval Techniques (13 papers), Advanced Vision and Imaging (13 papers) and Video Coding and Compression Technologies (9 papers). Feng Dai is often cited by papers focused on Advanced Image and Video Retrieval Techniques (13 papers), Advanced Vision and Imaging (13 papers) and Video Coding and Compression Technologies (9 papers). Feng Dai collaborates with scholars based in China, United States and Sweden. Feng Dai's co-authors include Yongdong Zhang, Chenggang Yan, Qionghai Dai, Feng Wu, Jizheng Xu, Liang Li, Jun Zhang, Yike Ma, Hantao Yao and Changsheng Xu and has published in prestigious journals such as Sensors, Neurocomputing and Electronics Letters.

In The Last Decade

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

Fields of papers citing papers by Feng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Dai

Since Specialization
Citations

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