Fang Wan

About

Fang Wan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, Fang Wan has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 8 papers in Plant Science. Recurrent topics in Fang Wan’s work include Advanced Neural Network Applications (24 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Domain Adaptation and Few-Shot Learning (14 papers). Fang Wan is often cited by papers focused on Advanced Neural Network Applications (24 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Domain Adaptation and Few-Shot Learning (14 papers). Fang Wan collaborates with scholars based in China, United States and Sweden. Fang Wan's co-authors include Qixiang Ye, Xiangyang Ji, Jianbin Jiao, Youjun Zhang, Dong Chu, Judith K. Brown, Xiaosong Zhang, Chang Liu, Wei Ke and Zhenjun Han and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

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

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Fields of papers citing papers by Fang Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fang Wan

Since Specialization

Citations

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