Pengfei Fang

29 papers and 365 indexed citations i.

About

Pengfei Fang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Pengfei Fang has authored 29 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Pengfei Fang’s work include Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (9 papers) and Multimodal Machine Learning Applications (8 papers). Pengfei Fang is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (9 papers) and Multimodal Machine Learning Applications (8 papers). Pengfei Fang collaborates with scholars based in China, Australia and Bangladesh. Pengfei Fang's co-authors include Mehrtash Harandi, Lars Petersson, Soumava Kumar Roy, Shafin Rahman, Ali Cheraghian, Christian Simon, Tong Zhang, Pan Ji, Jie Hong and Fuchang Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Pengfei Fang i

Fields of papers citing papers by Pengfei Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pengfei Fang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025