Fang Wen

109 papers and 5.1k indexed citations i.

About

Fang Wen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Fang Wen has authored 109 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 31 papers in Electrical and Electronic Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Fang Wen’s work include Face recognition and analysis (21 papers), Wireless Energy Harvesting and Information Transfer (17 papers) and Generative Adversarial Networks and Image Synthesis (16 papers). Fang Wen is often cited by papers focused on Face recognition and analysis (21 papers), Wireless Energy Harvesting and Information Transfer (17 papers) and Generative Adversarial Networks and Image Synthesis (16 papers). Fang Wen collaborates with scholars based in China, United States and Hong Kong. Fang Wen's co-authors include Dong Chen, Jian Sun, Jianmin Bao, Xudong Cao, Yichen Wei, Dong Chen, Hao Yang, Baining Guo, Lu Yuan and Gang Hua and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Optics Letters and Annals of Oncology.

In The Last Decade

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

Fields of papers citing papers by Fang Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fang Wen

Since Specialization
Citations

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