Ruizhi Yang

95 papers and 1.5k indexed citations i.

About

Ruizhi Yang is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Computer Networks and Communications. According to data from OpenAlex, Ruizhi Yang has authored 95 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Public Health, Environmental and Occupational Health, 44 papers in Genetics and 24 papers in Computer Networks and Communications. Recurrent topics in Ruizhi Yang’s work include Mathematical and Theoretical Epidemiology and Ecology Models (45 papers), Evolution and Genetic Dynamics (39 papers) and Nonlinear Dynamics and Pattern Formation (24 papers). Ruizhi Yang is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (45 papers), Evolution and Genetic Dynamics (39 papers) and Nonlinear Dynamics and Pattern Formation (24 papers). Ruizhi Yang collaborates with scholars based in China, Canada and United States. Ruizhi Yang's co-authors include Dwight E. Matthews, Dennis M. Bier, V. R. Young, Kathleen J. Motil, H. P. Schwarz, Chunrui Zhang, Junjie Wei, Xin Jia, Charles P.‐A. Bourque and Yujie Bai and has published in prestigious journals such as Gastroenterology, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Co-authorship network of co-authors of Ruizhi Yang i

Fields of papers citing papers by Ruizhi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ruizhi Yang

Since Specialization
Citations

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