Feng Pan

64 papers and 802 indexed citations i.

About

Feng Pan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Feng Pan has authored 64 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 13 papers in Signal Processing and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Feng Pan’s work include Video Coding and Compression Technologies (10 papers), Advanced Neural Network Applications (9 papers) and Image and Video Quality Assessment (7 papers). Feng Pan is often cited by papers focused on Video Coding and Compression Technologies (10 papers), Advanced Neural Network Applications (9 papers) and Image and Video Quality Assessment (7 papers). Feng Pan collaborates with scholars based in China, Singapore and United States. Feng Pan's co-authors include Shiqian Wu, Susanto Rahardja, K.P. Lim, Z.G. Li, E. Y. K. Ng, Yuxin Yang, Wei‐Yun Yau, Xiao Lin, Hong Bao and Dajun Wu and has published in prestigious journals such as Expert Systems with Applications, Frontiers in Plant Science and IEEE Access.

In The Last Decade

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

Fields of papers citing papers by Feng Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Pan

Since Specialization
Citations

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