Runye Shi

660 total citations
3 papers, 389 citations indexed

About

Runye Shi is a scholar working on Infectious Diseases, Modeling and Simulation and Molecular Biology. According to data from OpenAlex, Runye Shi has authored 3 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Modeling and Simulation and 1 paper in Molecular Biology. Recurrent topics in Runye Shi's work include COVID-19 epidemiological studies (2 papers), COVID-19 and Mental Health (1 paper) and Viral Infections and Immunology Research (1 paper). Runye Shi is often cited by papers focused on COVID-19 epidemiological studies (2 papers), COVID-19 and Mental Health (1 paper) and Viral Infections and Immunology Research (1 paper). Runye Shi collaborates with scholars based in China, Netherlands and Australia. Runye Shi's co-authors include Michael P. Ward, Qing Su, Yue Chen, Zhijie Zhang, Xinyi Wang, Wei Tu, Shuang Xiao, Wenge Wang, Hongchao Qi and Weizhong Yang and has published in prestigious journals such as The Science of The Total Environment, Environmental Research and Public Health.

In The Last Decade

Runye Shi

3 papers receiving 384 citations

Peers

Runye Shi
Kai Feng China
Runye Shi
Citations per year, relative to Runye Shi Runye Shi (= 1×) peers Kai Feng

Countries citing papers authored by Runye Shi

Since Specialization
Citations

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

Fields of papers citing papers by Runye Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runye Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Runye Shi. A scholar is included among the top collaborators of Runye Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Runye Shi. Runye Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Xiao, Shuang, Hongchao Qi, Michael P. Ward, et al.. (2021). Meteorological conditions are heterogeneous factors for COVID-19 risk in China. Environmental Research. 198. 111182–111182. 13 indexed citations
2.
Qi, Hongchao, Shuang Xiao, Runye Shi, et al.. (2020). COVID-19 transmission in Mainland China is associated with temperature and humidity: A time-series analysis. The Science of The Total Environment. 728. 138778–138778. 365 indexed citations
3.
Shi, Runye, Jinfeng Wang, Chengdong Xu, Shengjie Lai, & Weizhong Yang. (2014). Spatiotemporal pattern of hand–foot–mouth disease in China: an analysis of empirical orthogonal functions. Public Health. 128(4). 367–375. 11 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026