Hanyin Wang

20 papers and 421 indexed citations i.

About

Hanyin Wang is a scholar working on Artificial Intelligence, Epidemiology and Neurology. According to data from OpenAlex, Hanyin Wang has authored 20 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Epidemiology and 3 papers in Neurology. Recurrent topics in Hanyin Wang’s work include Machine Learning in Healthcare (5 papers), Topic Modeling (3 papers) and Chronic Disease Management Strategies (3 papers). Hanyin Wang is often cited by papers focused on Machine Learning in Healthcare (5 papers), Topic Modeling (3 papers) and Chronic Disease Management Strategies (3 papers). Hanyin Wang collaborates with scholars based in United States, China and Germany. Hanyin Wang's co-authors include Yikuan Li, Yuan Luo, Meghan R. Hutch, Adrienne Kline, Zhenxing Xu, Fei Wang, Feixiong Cheng, Seema A. Khan, Andrew M. Naidech and Ramsey M. Wehbe and has published in prestigious journals such as Journal of Medical Internet Research, Annals of Emergency Medicine and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Hanyin Wang i

Fields of papers citing papers by Hanyin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hanyin Wang

Since Specialization
Citations

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