Tianmu Chen

3.5k total citations · 1 hit paper
128 papers, 1.6k citations indexed

About

Tianmu Chen is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Tianmu Chen has authored 128 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Infectious Diseases, 52 papers in Modeling and Simulation and 44 papers in Epidemiology. Recurrent topics in Tianmu Chen's work include COVID-19 epidemiological studies (52 papers), Viral Infections and Vectors (24 papers) and Animal Disease Management and Epidemiology (24 papers). Tianmu Chen is often cited by papers focused on COVID-19 epidemiological studies (52 papers), Viral Infections and Vectors (24 papers) and Animal Disease Management and Epidemiology (24 papers). Tianmu Chen collaborates with scholars based in China, United States and France. Tianmu Chen's co-authors include Jia Rui, Ling Yin, Ruchun Liu, Zeyu Zhao, Benhua Zhao, Shuilian Chen, Yanhua Su, Xixing Zhang, Yao Wang and Roger Frutos and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Tianmu Chen

117 papers receiving 1.6k citations

Hit Papers

A mathematical model for simulating the phase-based trans... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianmu Chen China 17 843 670 453 328 191 128 1.6k
Zhihang Peng China 25 596 0.7× 788 1.2× 347 0.8× 622 1.9× 226 1.2× 143 2.0k
Jia Rui China 15 617 0.7× 493 0.7× 304 0.7× 118 0.4× 147 0.8× 82 1.3k
Su‐Vui Lo Hong Kong 16 1.1k 1.3× 700 1.0× 314 0.7× 834 2.5× 216 1.1× 24 2.1k
Eunha Shim South Korea 27 1.0k 1.2× 732 1.1× 437 1.0× 486 1.5× 261 1.4× 63 2.0k
Gowri Gopalakrishna Netherlands 12 794 0.9× 633 0.9× 412 0.9× 313 1.0× 195 1.0× 20 1.7k
Phạm Quang Thái Vietnam 20 502 0.6× 542 0.8× 356 0.8× 570 1.7× 94 0.5× 99 1.5k
Marc Baguelin United Kingdom 27 1.2k 1.4× 852 1.3× 223 0.5× 1.4k 4.2× 147 0.8× 69 2.3k
Janneke C. M. Heijne Netherlands 23 1.5k 1.7× 1.1k 1.6× 427 0.9× 1.5k 4.5× 257 1.3× 75 3.2k
Marco Massari Italy 21 1.5k 1.8× 823 1.2× 348 0.8× 1.6k 4.7× 306 1.6× 43 3.2k
Tie Song China 21 361 0.4× 853 1.3× 522 1.2× 335 1.0× 54 0.3× 62 1.6k

Countries citing papers authored by Tianmu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tianmu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianmu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Tianmu Chen. A scholar is included among the top collaborators of Tianmu 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 Tianmu Chen. Tianmu 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
2.
Guo, Xiaohao, et al.. (2024). Predicting influenza in China from October 1, 2023, to February 5, 2024: A transmission dynamics model based on population migration. Infectious Disease Modelling. 10(1). 139–149. 1 indexed citations
3.
Pan, Yan, Qiuping Chen, Jing Wang, et al.. (2024). Analysis of the epidemiological characteristics and influencing factors of tuberculosis among students in a large province of China, 2008–2018. Scientific Reports. 14(1). 20472–20472. 2 indexed citations
4.
Zhao, Zeyu, et al.. (2024). Emotional contagion on social media and the simulation of intervention strategies after a disaster event: a modeling study. Humanities and Social Sciences Communications. 11(1). 7 indexed citations
5.
6.
Wang, Yao, et al.. (2024). Temporal shifts in 24 notifiable infectious diseases in China before and during the COVID-19 pandemic. Nature Communications. 15(1). 3891–3891. 15 indexed citations
7.
Zhang, Shuo, et al.. (2023). Assessment of transmissibility and measures effectiveness of SARS in 8 regions, China, 2002-2003. Frontiers in Cellular and Infection Microbiology. 13. 1212473–1212473.
8.
Wu, Shenggen, Wenjing Ye, Zeyu Zhao, et al.. (2023). Impact of public health and social measures on contact dynamics during a SARS-CoV-2 Omicron variant outbreak in Quanzhou, China, March to April 2022. International Journal of Infectious Diseases. 131. 46–49. 5 indexed citations
9.
Ye, Wenjing, Zeyu Zhao, Xiaohao Guo, et al.. (2023). Simulating potential outbreaks of Delta and Omicron variants based on contact-tracing data: A modelling study in Fujian Province, China. Infectious Disease Modelling. 8(1). 270–281. 3 indexed citations
10.
Yu, Shanshan, Jia Rui, Zeyu Zhao, et al.. (2022). Epidemiological Characteristics and Transmissibility for SARS-CoV-2 of Population Level and Cluster Level in a Chinese City. Frontiers in Public Health. 9. 799536–799536. 4 indexed citations
11.
Yuan, Pei, Yi Tan, Liu Yang, et al.. (2022). Assessing the mechanism of citywide test-trace-isolate Zero-COVID policy and exit strategy of COVID-19 pandemic. Infectious Diseases of Poverty. 11(1). 104–104. 11 indexed citations
12.
Liu, Weikang, Tianlong Yang, Bin Deng, et al.. (2022). Model-Based Evaluation of Transmissibility and Intervention Measures for a COVID-19 Outbreak in Xiamen City, China. Frontiers in Public Health. 10. 887146–887146. 8 indexed citations
13.
Zhang, Hao, Ling Yin, Liang Mao, et al.. (2022). Combinational Recommendation of Vaccinations, Mask-Wearing, and Home-Quarantine to Control Influenza in Megacities: An Agent-Based Modeling Study With Large-Scale Trajectory Data. Frontiers in Public Health. 10. 883624–883624. 7 indexed citations
14.
Zhao, Zeyu, Qi Chen, Bin Zhao, et al.. (2021). Transmission pattern of shigellosis in Wuhan City, China: a modelling study. Epidemiology and Infection. 149. 1 indexed citations
15.
Rui, Jia, Bin Zhao, Qingqing Hu, et al.. (2021). The transmission dynamics of Middle East Respiratory Syndrome coronavirus. Travel Medicine and Infectious Disease. 45. 102243–102243. 10 indexed citations
16.
Luo, Li, Zhao Lei, Qingqing Hu, et al.. (2020). Epidemiology of tsutsugamushi disease and its relationship with meteorological factors in Xiamen city, China. PLoS neglected tropical diseases. 14(10). e0008772–e0008772. 18 indexed citations
17.
Huang, Zehong, Ning Wang, Zeyu Zhao, et al.. (2019). Seasonality of the transmissibility of hand, foot and mouth disease: a modelling study in Xiamen City, China. Epidemiology and Infection. 147. e327–e327. 19 indexed citations
18.
Zhou, Yinzhu, Qingqing Hu, Jin Zhao, et al.. (2019). Public health concerns regarding sporadic Creutzfeldt–Jakob disease in China: a case series. Journal of International Medical Research. 47(8). 3972–3977.
19.
Yi, Bo, Yi Chen, Xiao Ma, et al.. (2019). Incidence dynamics and investigation of key interventions in a dengue outbreak in Ningbo City, China. PLoS neglected tropical diseases. 13(8). e0007659–e0007659. 16 indexed citations
20.
Zhao, Jin, et al.. (2015). [A model for evaluation of key measures for control of chikungunya fever outbreak in China].. PubMed. 36(11). 1253–7. 3 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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