Hua Liang

164 papers and 3.9k indexed citations i.

About

Hua Liang is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Hua Liang has authored 164 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Statistics and Probability, 31 papers in Artificial Intelligence and 16 papers in Control and Systems Engineering. Recurrent topics in Hua Liang’s work include Statistical Methods and Inference (113 papers), Statistical Methods and Bayesian Inference (66 papers) and Advanced Statistical Methods and Models (41 papers). Hua Liang is often cited by papers focused on Statistical Methods and Inference (113 papers), Statistical Methods and Bayesian Inference (66 papers) and Advanced Statistical Methods and Models (41 papers). Hua Liang collaborates with scholars based in United States, China and Hong Kong. Hua Liang's co-authors include Runze Li, Raymond J. Carroll, Hulin Wu, Xinyu Zhang, Xiang Liu, Guohua Zou, Wolfgang Karl Härdle, Li Wang, Yong Zhou and Chih‐Ling Tsai and has published in prestigious journals such as Journal of the American Statistical Association, Blood and Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Hua Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hua Liang

Since Specialization
Citations

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