Chengyin Ye

About

Chengyin Ye is a scholar working on Epidemiology, Genetics and Artificial Intelligence. According to data from OpenAlex, Chengyin Ye has authored 30 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Genetics and 5 papers in Artificial Intelligence. Recurrent topics in Chengyin Ye’s work include Genetic Associations and Epidemiology (6 papers), Machine Learning in Healthcare (4 papers) and Noise Effects and Management (3 papers). Chengyin Ye is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Machine Learning in Healthcare (4 papers) and Noise Effects and Management (3 papers). Chengyin Ye collaborates with scholars based in China, United States and Taiwan. Chengyin Ye's co-authors include Xuefeng B. Ling, Karl G. Sylvester, Doff B. McElhinney, Frank Stearns, Eric Widen, Shiying Hao, Minjie Xia, Modi Liu, Bo Jin and Oliver Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Gene.

In The Last Decade

Co-authorship network of co-authors of Chengyin Ye i

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Fields of papers citing papers by Chengyin Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chengyin Ye

Since Specialization

Citations

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