Faming Liang

132 papers and 3.0k indexed citations i.

About

Faming Liang is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Faming Liang has authored 132 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 59 papers in Statistics and Probability and 31 papers in Molecular Biology. Recurrent topics in Faming Liang’s work include Markov Chains and Monte Carlo Methods (37 papers), Bayesian Methods and Mixture Models (33 papers) and Statistical Methods and Inference (30 papers). Faming Liang is often cited by papers focused on Markov Chains and Monte Carlo Methods (37 papers), Bayesian Methods and Mixture Models (33 papers) and Statistical Methods and Inference (30 papers). Faming Liang collaborates with scholars based in United States, South Korea and Singapore. Faming Liang's co-authors include Wing Hung Wong, Jianhua Huang, Jun S. Liu, Qifan Song, Chuanhai Liu, Raymond J. Carroll, Yuanchang Xie, Yunlong Zhang, Guanghua Xiao and Xuesong Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Journal of the American Statistical Association.

In The Last Decade

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

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Faming Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Faming Liang

Since Specialization

Citations

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

Explore authors with similar magnitude of impact