Guo‐Liang Fan

65 papers and 593 indexed citations i.

About

Guo‐Liang Fan is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Guo‐Liang Fan has authored 65 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 9 papers in Economics and Econometrics. Recurrent topics in Guo‐Liang Fan’s work include Statistical Methods and Inference (41 papers), Statistical Methods and Bayesian Inference (21 papers) and Advanced Statistical Methods and Models (14 papers). Guo‐Liang Fan is often cited by papers focused on Statistical Methods and Inference (41 papers), Statistical Methods and Bayesian Inference (21 papers) and Advanced Statistical Methods and Models (14 papers). Guo‐Liang Fan collaborates with scholars based in China, United States and Hong Kong. Guo‐Liang Fan's co-authors include Han‐Ying Liang, Fay Y. Womer, Yanqing Tang, Ling Ren, Hilary P. Blumberg, Jiangfeng Wang, Yu Shen, Ke Xu, Xiaoyan Zhang and Yang Cao and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and Psychological Medicine.

In The Last Decade

Co-authorship network of co-authors of Guo‐Liang Fan i

Fields of papers citing papers by Guo‐Liang Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guo‐Liang Fan

Since Specialization
Citations

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