Jiangzhuo Chen

2.5k total citations
69 papers, 1.1k citations indexed

About

Jiangzhuo Chen is a scholar working on Modeling and Simulation, Epidemiology and Statistical and Nonlinear Physics. According to data from OpenAlex, Jiangzhuo Chen has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Modeling and Simulation, 27 papers in Epidemiology and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in Jiangzhuo Chen's work include COVID-19 epidemiological studies (46 papers), Data-Driven Disease Surveillance (20 papers) and Complex Network Analysis Techniques (17 papers). Jiangzhuo Chen is often cited by papers focused on COVID-19 epidemiological studies (46 papers), Data-Driven Disease Surveillance (20 papers) and Complex Network Analysis Techniques (17 papers). Jiangzhuo Chen collaborates with scholars based in United States, Canada and Hungary. Jiangzhuo Chen's co-authors include Madhav Marathe, Bryan Lewis, Srinivasan Venkatramanan, Anil Vullikanti, Keith Bisset, Lijing Wang, Achla Marathe, Xizhou Feng, V. S. Anil Kumar and Dave Higdon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Jiangzhuo Chen

66 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangzhuo Chen United States 18 490 321 176 175 116 69 1.1k
Chris Barrett United States 22 567 1.2× 336 1.0× 211 1.2× 116 0.7× 136 1.2× 100 1.7k
Anil Vullikanti United States 21 857 1.7× 495 1.5× 361 2.1× 275 1.6× 257 2.2× 116 1.8k
Keith Bisset United States 19 365 0.7× 224 0.7× 261 1.5× 73 0.4× 54 0.5× 55 1.1k
Adam Sadilek United States 17 262 0.5× 255 0.8× 154 0.9× 336 1.9× 103 0.9× 31 1.4k
Christopher L. Barrett United States 15 716 1.5× 203 0.6× 253 1.4× 87 0.5× 292 2.5× 60 1.8k
Kenth Engø‐Monsen Norway 18 460 0.9× 299 0.9× 154 0.9× 57 0.3× 193 1.7× 51 1.5k
Samarth Swarup United States 16 170 0.3× 129 0.4× 157 0.9× 194 1.1× 44 0.4× 89 976
Pang Wei Koh United States 15 613 1.3× 248 0.8× 83 0.5× 508 2.9× 110 0.9× 30 1.9k
Srinivasan Venkatramanan United States 13 846 1.7× 248 0.8× 102 0.6× 98 0.6× 385 3.3× 46 1.4k
Alberto Aleta Spain 16 755 1.5× 255 0.8× 218 1.2× 51 0.3× 236 2.0× 34 1.2k

Countries citing papers authored by Jiangzhuo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jiangzhuo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangzhuo Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangzhuo Chen. A scholar is included among the top collaborators of Jiangzhuo 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 Jiangzhuo Chen. Jiangzhuo 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.
Espinoza, Baltazar, Jiangzhuo Chen, Mark T. Orr, et al.. (2025). The impact of risk compensation adaptive behavior on the final epidemic size. Mathematical Biosciences. 380. 109370–109370. 1 indexed citations
2.
Chen, Jiangzhuo, Parantapa Bhattacharya, Stefan Hoops, et al.. (2024). Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling Hub. Epidemics. 48. 100779–100779. 2 indexed citations
3.
Chen, Jiangzhuo, et al.. (2024). A simple model of coupled individual behavior and its impact on epidemic dynamics. Mathematical Biosciences. 380. 109345–109345. 1 indexed citations
4.
Porebski, Przemyslaw, Srinivasan Venkatramanan, Aniruddha Adiga, et al.. (2024). Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections. Epidemics. 47. 100761–100761. 2 indexed citations
5.
Chen, Jiangzhuo, et al.. (2023). Identifying Complicated Contagion Scenarios from Cascade Data. 22. 4135–4145. 2 indexed citations
6.
Espinoza, Baltazar, Aniruddha Adiga, Srinivasan Venkatramanan, et al.. (2023). Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions. Proceedings of the National Academy of Sciences. 120(48). e2305227120–e2305227120. 6 indexed citations
7.
Chen, Jiangzhuo, Anil Vullikanti, Stefan Hoops, et al.. (2020). Medical costs of keeping the US economy open during COVID-19. Scientific Reports. 10(1). 18422–18422. 30 indexed citations
8.
Venkatramanan, Srinivasan, Jiangzhuo Chen, Sandeep Gupta, et al.. (2019). Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints. PLoS Computational Biology. 15(9). e1007111–e1007111. 33 indexed citations
9.
Wang, Lijing, Jiangzhuo Chen, & Achla Marathe. (2018). A framework for discovering health disparities among cohorts in an influenza epidemic. World Wide Web. 22(6). 2997–3020. 6 indexed citations
10.
Swarup, Samarth, et al.. (2017). A Comparison of Targeted Layered Containment Strategies for a Flu Pandemic in Three US Cities. Adaptive Agents and Multi-Agents Systems. 1499–1501. 3 indexed citations
11.
Wang, Lijing, Jin-Hee Cho, Ing-Ray Chen, & Jiangzhuo Chen. (2017). PDGM: Percolation-based directed graph matching in social networks. 1–7. 2 indexed citations
12.
Chen, Jiangzhuo, Maleq Khan, Achla Marathe, et al.. (2016). Effect of modelling slum populations on influenza spread in Delhi. BMJ Open. 6(9). e011699–e011699. 20 indexed citations
13.
Zhao, Liang, Jiangzhuo Chen, Feng Chen, et al.. (2015). SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning. PubMed. 2015. 639–648. 45 indexed citations
14.
Chakraborty, Prithwish, Pejman Khadivi, Bryan Lewis, et al.. (2014). Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. 262–270. 51 indexed citations
15.
Chen, Jiangzhuo, et al.. (2014). Fast Parallel Algorithms for Edge-Switching to Achieve a Target Visit Rate in Heterogeneous Graphs. 286. 60–69. 5 indexed citations
16.
Bisset, Keith, et al.. (2014). Indemics. ACM Transactions on Modeling and Computer Simulation. 24(1). 1–32. 30 indexed citations
17.
Bisset, Keith, Jiangzhuo Chen, Chris J. Kuhlman, V. S. Anil Kumar, & Madhav Marathe. (2011). Interaction-based HPC modeling of social, biological, and economic contagions over large networks. 101. 2933–2947. 3 indexed citations
18.
Chen, Jiangzhuo, Robert Kleinberg, László Lovász, et al.. (2007). (Almost) Tight bounds and existence theorems for single-commodity confluent flows. Journal of the ACM. 54(4). 16–16. 13 indexed citations
19.
Chen, Jiangzhuo, et al.. (2006). Model Based Spatial Data Mining for Power Markets. 1 indexed citations
20.
Chen, Jiangzhuo, Rajmohan Rajaraman, & Ravi Sundaram. (2005). Meet and merge: Approximation algorithms for confluent flows. Journal of Computer and System Sciences. 72(3). 468–489. 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.

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