Chongjun Fan
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
-
- Customer Service Quality and Loyalty
- Job Satisfaction and Organizational Behavior
Papers in
-
- Complex Network Analysis Techniques 5
- Opinion Dynamics and Social Influence 5
- Co-authors
- Chen Liu (4 shared papers)Liang’an Huo (4 shared papers)Collins Opoku Antwi (4 shared papers)Michael Osei Aboagye (3 shared papers)Yunpeng Yang (3 shared papers)Emmanuel Affum‐Osei (1 shared paper)Jun Zhao (1 shared paper)Yang Jin (2 shared papers)
- Journals
- Physica A Statistical Mechanics and its Applications (3 papers)Soft Computing (1 paper)Expert Systems with Applications (1 paper)Advances in Difference Equations (1 paper)Applied Intelligence (1 paper)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Chongjun Fan
19 papers receiving 346 citations
Peers
Comparison fields: 5 of 67
- Statistical and Nonlinear Physics 121
- Organizational Behavior and Human Resource Management 77
- Modeling and Simulation 31
- General Economics, Econometrics and Finance 38
- Marketing 32
Countries citing papers authored by Chongjun Fan
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
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.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 69 | |
| 2 | 2016 | 49 | |
| 3 | 2015 | 43 | |
| 4 | 2021 | 36 | |
| 5 | 2015 | 33 | |
| 6 | 2020 | 33 | |
| 7 | 2020 | 23 | |
| 8 | 2021 | 20 | |
| 9 | 2022 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2009 | 7 | |
| 13 | 2016 | 5 | |
| 14 | 2009 | 3 | |
| 15 | 2011 | 3 | |
| 16 | 2009 | 3 | |
| 17 | 2010 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2012 | 1 | |
| 20 | 2024 | 0 |
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 23 papers that have together received 360 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), Evaluation and Optimization Models (2 papers), Customer Service Quality and Loyalty (2 papers) and Evaluation Methods in Various Fields (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (121 citations), Organizational Behavior and Human Resource Management (77 citations), Modeling and Simulation (31 citations), General Economics, Econometrics and Finance (38 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, Jun Zhao, Yang Jin, Yaqiong Wang and Lixin Zhou. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Soft Computing, Expert Systems with Applications, Advances in Difference Equations and Applied Intelligence.
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.