Jiangzhuo Chen

2.5k citations
69 papers · 1.1k indexed · h-index 18
Topics
COVID-19 epidemiological studies (46 papers)Data-Driven Disease Surveillance (20 papers)Complex Network Analysis Techniques (17 papers)
Partner nations
United StatesCanadaIran

In The Last Decade

Jiangzhuo Chen

66 papers receiving 1.1k citations

Peers

Jiangzhuo Chen
Comparison fields: 5 of 124
  • Modeling and Simulation 490
  • Epidemiology 321
  • Statistical and Nonlinear Physics 176
  • Artificial Intelligence 175
  • Infectious Diseases 116
Replace Christopher L. Barrett with:
Christopher L. Barrett United States
Chris Barrett United States
Anil Vullikanti United States
Srinivasan Venkatramanan United States
Keith Bisset United States
Kenth Engø‐Monsen Norway
Alberto Aleta Spain
Samarth Swarup United States
Pang Wei Koh United States
Adam Sadilek United States
Jiangzhuo Chen relative to Christopher L. Barrett United States Christopher L. Barrett's profile →
Citations per field
00.5×1.5×2.0×
Christopher L. Barrett · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 2
3 1
4 2
5 1
6 2
7 6
8 12
9 47
10 30
11 33
12 6
13 3
14 33
15 118
16 20
17 45
18 12
19 51
20
Model Based Spatial Data Mining for Power Markets
1

About Jiangzhuo Chen

Jiangzhuo Chen is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Transportation, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (46 papers), Data-Driven Disease Surveillance (20 papers) and Complex Network Analysis Techniques (17 papers). The work is most often cited by research in Modeling and Simulation (490 citations), Transportation (104 citations) and Statistical and Nonlinear Physics (176 citations). Jiangzhuo Chen has collaborated with scholars based in United States, Canada and Iran. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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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