Gongfan Fang

6 papers and 163 indexed citations i.

About

Gongfan Fang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gongfan Fang has authored 6 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gongfan Fang’s work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Gongfan Fang is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Gongfan Fang collaborates with scholars based in China, Singapore and United Kingdom. Gongfan Fang's co-authors include Mingli Song, Xinchao Wang, Xinyin Ma, Jie Song, Haofei Zhang, Yongliang Shen, Chenghao Jia, Weiming Lü, Chen Chen and Feng Mao and has published in prestigious journals such as IEEE Transactions on Image Processing, Journal of Visual Communication and Image Representation and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

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

Fields of papers citing papers by Gongfan Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gongfan Fang

Since Specialization
Citations

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