Bin Fang

250 papers and 2.6k indexed citations i.

About

Bin Fang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Bin Fang has authored 250 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Computer Vision and Pattern Recognition, 42 papers in Artificial Intelligence and 42 papers in Media Technology. Recurrent topics in Bin Fang’s work include Face and Expression Recognition (51 papers), Image Retrieval and Classification Techniques (32 papers) and Medical Image Segmentation Techniques (24 papers). Bin Fang is often cited by papers focused on Face and Expression Recognition (51 papers), Image Retrieval and Classification Techniques (32 papers) and Medical Image Segmentation Techniques (24 papers). Bin Fang collaborates with scholars based in China, Macao and Hong Kong. Bin Fang's co-authors include Yuan Yan Tang, Zhaowei Shang, Taiping Zhang, Yuanyan Tang, Jing Wen, Weibin Yang, Mingliang Zhou, Lin Chen, Jiye Qian and Bin Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and Chemical Engineering Journal.

In The Last Decade

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

Fields of papers citing papers by Bin Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bin Fang

Since Specialization
Citations

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

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2025