Hai‐Yang Jin

45 papers and 1.2k indexed citations i.

About

Hai‐Yang Jin is a scholar working on Modeling and Simulation, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hai‐Yang Jin has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Modeling and Simulation, 18 papers in Molecular Biology and 15 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hai‐Yang Jin’s work include Mathematical Biology Tumor Growth (34 papers), Gene Regulatory Network Analysis (16 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (15 papers). Hai‐Yang Jin is often cited by papers focused on Mathematical Biology Tumor Growth (34 papers), Gene Regulatory Network Analysis (16 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (15 papers). Hai‐Yang Jin collaborates with scholars based in China, Hong Kong and United States. Hai‐Yang Jin's co-authors include Zhi‐An Wang, Tian Xiang, Yong-Jung Kim, Leyun Wu, Jingyu Li, Jiao Xu, Zhengrong Liu, Xiangdong Li, Cheng Yang and Xiangdong Li and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Journal of Mathematical Physics and Journal of Differential Equations.

In The Last Decade

Co-authorship network of co-authors of Hai‐Yang Jin i

Fields of papers citing papers by Hai‐Yang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hai‐Yang Jin

Since Specialization
Citations

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