Kun Chen
Impact in
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- FinTech, Crowdfunding, Digital Finance
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- Technology Adoption and User Behaviour
Papers in
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- Complex Systems and Time Series Analysis 10
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- Stock Market Forecasting Methods 11
- Co-authors
- Huaiqing Wang (14 shared papers)Peng Luo (11 shared papers)Dongming Xu (2 shared papers)Xin Li (7 shared papers)Yongli Li (4 shared papers)Chong Wu (4 shared papers)Carol Xiaojuan Ou (1 shared paper)Libo Liu (2 shared papers)
- Journals
- Electronic Commerce Research and Applications (5 papers)Journal of Management Information Systems (2 papers)Financial Innovation (2 papers)Journal of Information Science (2 papers)Information & Management (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Kun Chen
44 papers receiving 663 citations
Peers
Comparison fields: 5 of 79
- Management Information Systems 206
- Information Systems and Management 96
- Information Systems 256
- Marketing 93
- Management Science and Operations Research 83
Countries citing papers authored by Kun Chen
This map shows the geographic impact of Kun 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 Kun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Chen more than expected).
Fields of papers citing papers by Kun Chen
This network shows the impact of papers produced by Kun 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 Kun Chen. The network helps show where Kun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Chen, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 155 | |
| 2 | 2019 | 53 | |
| 3 | 2016 | 38 | |
| 4 | 2017 | 37 | |
| 5 | 2022 | 36 | |
| 6 | 2015 | 33 | |
| 7 | 2015 | 30 | |
| 8 | 2016 | 30 | |
| 9 | 2018 | 30 | |
| 10 | 2021 | 26 | |
| 11 | 2015 | 26 | |
| 12 | 2021 | 20 | |
| 13 | 2015 | 20 | |
| 14 | 2020 | 17 | |
| 15 | 2016 | 16 | |
| 16 | 2023 | 14 | |
| 17 | 2016 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2016 | 9 | |
| 20 | 2018 | 9 |
About Kun Chen
Kun Chen is a scholar working on Economics and Econometrics, Management Science and Operations Research, Information Systems, Management Information Systems and Statistical and Nonlinear Physics, having authored 47 papers that have together received 699 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (11 papers), Complex Systems and Time Series Analysis (10 papers), Complex Network Analysis Techniques (7 papers), Digital Marketing and Social Media (6 papers), Financial Markets and Investment Strategies (6 papers), Corporate Finance and Governance (5 papers), Blockchain Technology Applications and Security (5 papers) and Consumer Market Behavior and Pricing (4 papers). The work is most often cited by research in Management Information Systems (206 citations), Information Systems and Management (96 citations), Information Systems (256 citations), Marketing (93 citations) and Management Science and Operations Research (83 citations). Kun Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Huaiqing Wang, Peng Luo, Dongming Xu, Xin Li, Yongli Li, Chong Wu, Carol Xiaojuan Ou, Libo Liu, Wei Zhu and Kristijan Mirkovski. Their work appears in journals such as Electronic Commerce Research and Applications, Journal of Management Information Systems, Financial Innovation, Journal of Information Science and Information & Management.
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.