Chongjun Fan

481 citations
24 papers · 370 · h-index 11

Impact in

Papers in

Chongjun Fan

20 papers receiving 358 citations

Peers

Chongjun Fan
Comparison fields: 5 of 67
  • Statistical and Nonlinear Physics 122
  • Organizational Behavior and Human Resource Management 77
  • Modeling and Simulation 31
  • General Economics, Econometrics and Finance 39
  • Marketing 32
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Citations per field
00.5×7.8×
Ian McCulloh · 1×
Citations per year

Countries citing papers authored by Chongjun Fan

Since Specialization
Citations

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

Fields of papers citing papers by Chongjun Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chongjun Fan, 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 Chongjun Fan Line = papers co-authored together Chongjun Fan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201873
2 201650
3 201543
4 202136
5 202036
6 201534
7 202023
8 202120
9 202210
10 201910
11 202010
12 20097
13 20165
14 20093
15 20113
16 20093
17 20241
18 20121
19 20121
20 20101

About Chongjun Fan

Chongjun Fan is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Public Health, Environmental and Occupational Health, Information Systems and General Economics, Econometrics and Finance, having authored 24 papers that have together received 370 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (5 papers), Aviation Industry Analysis and Trends (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Transportation Planning and Optimization (3 papers), Service-Oriented Architecture and Web Services (2 papers), Evaluation Methods in Various Fields (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (122 citations), Organizational Behavior and Human Resource Management (77 citations), Modeling and Simulation (31 citations), General Economics, Econometrics and Finance (39 citations) and Marketing (32 citations). Chongjun Fan has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Chen Liu, Liang’an Huo, Collins Opoku Antwi, Michael Osei Aboagye, Yunpeng Yang, Emmanuel Affum‐Osei, Yang Jin, Jun Zhao, Yaqiong Wang and Lixin Zhou. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Applied Intelligence, Journal of Retailing and Consumer Services, Finance research letters and International Journal of Modern Physics C.

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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