Feng Liang

55 papers and 2.1k indexed citations i.

About

Feng Liang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Feng Liang has authored 55 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 12 papers in Statistics and Probability. Recurrent topics in Feng Liang’s work include Statistical Methods and Inference (9 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Methods and Bayesian Inference (8 papers). Feng Liang is often cited by papers focused on Statistical Methods and Inference (9 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Methods and Bayesian Inference (8 papers). Feng Liang collaborates with scholars based in United States, China and Canada. Feng Liang's co-authors include Rui Paulo, Merlise A. Clyde, Germán Molina, James O. Berger, Tianfang Xu, Shun Zhu, Dagan Feng, Shanshan Wang, Dong Liang and Xi Peng and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Feng Liang i

Fields of papers citing papers by Feng Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Liang

Since Specialization
Citations

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