Shaohua Fan

8 papers and 190 indexed citations i.

About

Shaohua Fan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Shaohua Fan has authored 8 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Management Science and Operations Research. Recurrent topics in Shaohua Fan’s work include Advanced Graph Neural Networks (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and ELM (2 papers). Shaohua Fan is often cited by papers focused on Advanced Graph Neural Networks (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and ELM (2 papers). Shaohua Fan collaborates with scholars based in China and United States. Shaohua Fan's co-authors include Chuan Shi, Xiao Wang, Philip S. Yu, Yanfang Ye, Deyu Bo, Bai Wang, Peng Cui, Kun Kuang, Nian Liu and Jiawei Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Nature Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Shaohua Fan i

Fields of papers citing papers by Shaohua Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shaohua Fan

Since Specialization
Citations

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