Hua Jin

43 papers and 1.4k indexed citations i.

About

Hua Jin is a scholar working on Statistics and Probability, Management Science and Operations Research and Epidemiology. According to data from OpenAlex, Hua Jin has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 8 papers in Management Science and Operations Research and 7 papers in Epidemiology. Recurrent topics in Hua Jin’s work include Statistical Methods and Inference (12 papers), Advanced Statistical Methods and Models (10 papers) and Statistical Methods in Clinical Trials (10 papers). Hua Jin is often cited by papers focused on Statistical Methods and Inference (12 papers), Advanced Statistical Methods and Models (10 papers) and Statistical Methods in Clinical Trials (10 papers). Hua Jin collaborates with scholars based in China, United States and Canada. Hua Jin's co-authors include Paul S. Levy, Elena S. H. Yu, Melville R. Klauber, David P. Salmon, Zhenyu Wang, William T. Liu, Mingyuan Zhang, Robert Katzman, Guojun Cai and Igor Grant and has published in prestigious journals such as Annals of Neurology, Scientific Reports and Biometrics.

In The Last Decade

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

Fields of papers citing papers by Hua Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hua Jin

Since Specialization
Citations

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