Bin Chen

155 papers receiving 1.7k citations

Peers

Bin Chen
Comparison fields: 5 of 151
  • Environmental Engineering 278
  • Transportation 111
  • Safety, Risk, Reliability and Quality 134
  • Statistics, Probability and Uncertainty 93
  • Public Administration 44
Replace Sima Siami‐Namini with:
Sima Siami‐Namini United States
G. E. P. Box United States
Fabrizio Ruggeri Italy
David Alderson United States
Jianguo Chen China
Rafał Weron Poland
Valeria V. Krzhizhanovskaya Netherlands
Yi Liu China
G. J. Janacek United Kingdom
Behzad Moshiri Iran
Bin Chen relative to Sima Siami‐Namini United States Sima Siami‐Namini's profile →
Citations per field
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Sima Siami‐Namini · 1×
Citations per year

Countries citing papers authored by Bin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bin Chen Line = papers co-authored together Bin Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019103
2 201498
3 201582
4 200868
5 200662
6 200262
7 201859
8 201837
9 201737
10 201936
11 202033
12 202032
13 201032
14 201831
15 202129
16 201628
17 202028
18 202028
19 202127
20 201526

About Bin Chen

Bin Chen is a scholar working on Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics, Artificial Intelligence and Control and Systems Engineering, having authored 168 papers that have together received 1.8k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (22 papers), Opinion Dynamics and Social Influence (20 papers), Distributed and Parallel Computing Systems (20 papers), Evacuation and Crowd Dynamics (18 papers), Air Quality Monitoring and Forecasting (14 papers), Cloud Computing and Resource Management (13 papers), Simulation Techniques and Applications (13 papers) and COVID-19 epidemiological studies (10 papers). The work is most often cited by research in Environmental Engineering (278 citations), Transportation (111 citations), Safety, Risk, Reliability and Quality (134 citations), Statistics, Probability and Uncertainty (93 citations) and Public Administration (44 citations). Bin Chen has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Xiaogang Qiu, Zhengqiu Zhu, Sihang Qiu, Rongxiao Wang, Liang Ma, Philipos C. Loizou, Peter Scheuermann, Yong Zhao, Peter J. Haas and Laobing Zhang. Their work appears in journals such as International Journal of Environmental Research and Public Health, Physica A Statistical Mechanics and its Applications, IEEE Access, Symmetry and Advances in Complex Systems.

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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