Shi Chen

2.7k total citations · 1 hit paper
114 papers, 1.4k citations indexed

About

Shi Chen is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Shi Chen has authored 114 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 14 papers in Modeling and Simulation and 13 papers in Infectious Diseases. Recurrent topics in Shi Chen's work include COVID-19 epidemiological studies (12 papers), Data-Driven Disease Surveillance (9 papers) and Misinformation and Its Impacts (9 papers). Shi Chen is often cited by papers focused on COVID-19 epidemiological studies (12 papers), Data-Driven Disease Surveillance (9 papers) and Misinformation and Its Impacts (9 papers). Shi Chen collaborates with scholars based in China, United States and Hong Kong. Shi Chen's co-authors include Cristina Lanzas, Shelby J. Fleischer, Michael W. Sanderson, Anne L. Nielsen, Brad J. White, Amiyaal Ilany, Qian Xu, Yaorong Ge, David E. Amrine and Jiejun Qi and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shi Chen

105 papers receiving 1.4k citations

Hit Papers

Core phylotypes enhance the resistance of soil microbiome... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shi Chen China 22 179 152 123 120 118 114 1.4k
Elizabeth M. White United States 25 223 1.2× 157 1.0× 64 0.5× 187 1.6× 112 0.9× 86 2.4k
Tianli Zheng China 22 337 1.9× 136 0.9× 184 1.5× 29 0.2× 104 0.9× 59 2.7k
Ding‐Geng Chen United States 27 119 0.7× 167 1.1× 183 1.5× 30 0.3× 52 0.4× 199 2.5k
Amy Maxmen United States 23 466 2.6× 230 1.5× 103 0.8× 348 2.9× 175 1.5× 187 2.7k
Andrea Riebler Norway 17 94 0.5× 205 1.3× 349 2.8× 83 0.7× 155 1.3× 30 2.6k
Atin Adhikari United States 33 215 1.2× 137 0.9× 150 1.2× 85 0.7× 134 1.1× 97 3.4k
Michela Cameletti Italy 18 115 0.6× 202 1.3× 234 1.9× 61 0.5× 209 1.8× 51 2.2k
Yongmei Lu United States 21 243 1.4× 329 2.2× 221 1.8× 47 0.4× 167 1.4× 84 2.0k
Shelly L. Miller United States 40 309 1.7× 76 0.5× 121 1.0× 47 0.4× 374 3.2× 122 4.9k
Suman Kumar India 25 229 1.3× 161 1.1× 223 1.8× 88 0.7× 37 0.3× 358 2.8k

Countries citing papers authored by Shi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Chen. A scholar is included among the top collaborators of Shi Chen 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 Shi Chen. Shi Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Shi. (2025). Research on the tax compliance effects of corporate platform transformation. Economic Analysis and Policy. 85. 1931–1948.
2.
Zhao, Xu, Zhenyu Jiang, Kuan Feng, et al.. (2025). Interferon-stimulated gene screening identifies CCND3 as a host restriction factor against emerging high-pathogenic bandaviruses. Nature Communications. 16(1). 7935–7935.
3.
Zhao, Feng, et al.. (2025). Assessing first-year geography-major students’ knowledge of climate change and their educational needs – a study in Wuhan, China. Journal of Geography in Higher Education. 49(4). 453–469. 1 indexed citations
4.
Shao, Xuefeng & Shi Chen. (2024). Research on Tax Compliance Incentive Effects of Platform Companies from the Perspective of Incomplete Contract An Empirical Study Based on China. Amfiteatru Economic. 26(65). 330–330. 1 indexed citations
5.
Chen, Shi. (2024). The impact of tax compliance on platform enterprises’ competitive advantage and the role of contract enforcement efficiency. International Review of Economics & Finance. 96. 103616–103616. 3 indexed citations
6.
Kamrujjaman, Md., et al.. (2024). Analysis of a Data‐Driven Vector‐Borne Dengue Transmission Model for a Tropical Environment in Bangladesh. International Journal of Differential Equations. 2024(1). 1 indexed citations
7.
Ge, Yaorong, et al.. (2023). Public Awareness and Sentiment Analysis of COVID-Related Discussions Using BERT-Based Infoveillance. SHILAP Revista de lepidopterología. 4(1). 333–347. 4 indexed citations
8.
Chen, Shi, et al.. (2022). Simulating and Forecasting the COVID-19 Spread in a U.S. Metropolitan Region with a Spatial SEIR Model. International Journal of Environmental Research and Public Health. 19(23). 15771–15771. 10 indexed citations
9.
Gao, Jiamin, Shi Chen, Yang Wang, et al.. (2022). Variation in soybean root-associated microbiome between lateral roots with and without nodules. Plant and Soil. 479(1-2). 481–494. 5 indexed citations
10.
Li, Ang & Shi Chen. (2021). Loss of density dependence underpins decoupling of livestock population and plant biomass in intensive grazing systems. Ecological Applications. 31(8). e02450–e02450. 3 indexed citations
11.
Li, Ang, Lei Gao, Shi Chen, et al.. (2021). Financial inclusion may limit sustainable development under economic globalization and climate change. Environmental Research Letters. 16(5). 54049–54049. 21 indexed citations
12.
Chen, Shi, Patrick Robinson, Daniel Janies, & Michael Dulin. (2020). Four Challenges Associated With Current Mathematical Modeling Paradigm of Infectious Diseases and Call for a Shift. Open Forum Infectious Diseases. 7(8). ofaa333–ofaa333. 11 indexed citations
13.
Xu, Qian, et al.. (2020). Identifying Influential Factors in the Discussion Dynamics of Emerging Health Issues on Social Media: Computational Study. JMIR Public Health and Surveillance. 6(3). e17175–e17175. 10 indexed citations
14.
15.
Chen, Shi, Lina Zhou, Yunya Song, et al.. (2020). A Novel Machine Learning Framework for Comparison of Viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis. Journal of Medical Internet Research. 23(1). e24889–e24889. 10 indexed citations
16.
Chen, Shi, et al.. (2020). Clinical features of 109 cases of novel coronavirus pneumonia. 38. 7 indexed citations
17.
Chen, Shi, Ari Whiteman, Ang Li, et al.. (2019). An operational machine learning approach to predict mosquito abundance based on socioeconomic and landscape patterns. Landscape Ecology. 34(6). 1295–1311. 28 indexed citations
18.
Chen, Shi, et al.. (2018). Monitoring and analysis of Norovirus in lettuce and strawberry from markets in Qinhuangdao.. Shipin anquan zhiliang jiance xuebao. 9(22). 6059–6063. 2 indexed citations
19.
Chen, Shi, Chao Gao, Bin Xu, et al.. (2015). Quantitative inversion of soil salinity and analysis of its spatial pattern in agricultural area in Shihezi of Xinjiang. Geographical Research. 33(11). 2135–2144. 9 indexed citations
20.
Zhu, Bo, et al.. (2002). Soil Degradation and Soil Productivity Restoration and Maintenance in Hilly Land of Southern China. Archives of Agronomy and Soil Science. 48(4). 311–318. 1 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.

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