Jun Ye
Impact in
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- Customer Service Quality and Loyalty
- Job Satisfaction and Organizational Behavior
- Marketing top 10%
- Consumer Behavior in Brand Consumption and Identification
- Service and Product Innovation
Papers in
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- Cryptography and Data Security 3
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- Angiogenesis and VEGF in Cancer 4
- Co-authors
- Detelina Marinova (1 shared paper)Jagdip Singh (1 shared paper)Xuemin Shen (3 shared papers)J.W. Mark (3 shared papers)Yuan Li (4 shared papers)Ju-Yeon Lee (1 shared paper)Beibei Dong (1 shared paper)Lan Jiang (1 shared paper)
- Journals
- Marketing Letters (4 papers)International Journal of Oncology (2 papers)Journal of Business Research (2 papers)Journal of Cellular Biochemistry (1 paper)IEEE Transactions on Mobile Computing (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Ye
28 papers receiving 354 citations
Peers
Comparison fields: 5 of 111
- Organizational Behavior and Human Resource Management 102
- Marketing 81
- Developmental Neuroscience 17
- Information Systems and Management 21
- Strategy and Management 43
Countries citing papers authored by Jun Ye
This map shows the geographic impact of Jun Ye'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 Jun Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ye more than expected).
Fields of papers citing papers by Jun Ye
This network shows the impact of papers produced by Jun Ye. 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 Jun Ye. The network helps show where Jun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ye, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 94 | |
| 2 | 2005 | 36 | |
| 3 | 2010 | 35 | |
| 4 | 2016 | 30 | |
| 5 | 2017 | 28 | |
| 6 | 2018 | 27 | |
| 7 | 2007 | 21 | |
| 8 | 2016 | 15 | |
| 9 | 2012 | 14 | |
| 10 | 2019 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2016 | 6 | |
| 14 | 2005 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2004 | 6 | |
| 17 | 2012 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2008 | 3 |
About Jun Ye
Jun Ye is a scholar working on Artificial Intelligence, Molecular Biology, Marketing, Sociology and Political Science and Organizational Behavior and Human Resource Management, having authored 33 papers that have together received 376 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Consumer Behavior in Brand Consumption and Identification (4 papers), Cryptography and Data Security (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Chaos-based Image/Signal Encryption (3 papers), Advanced Wireless Network Optimization (2 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (102 citations), Marketing (81 citations), Developmental Neuroscience (17 citations), Information Systems and Management (21 citations) and Strategy and Management (43 citations). Jun Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Detelina Marinova, Jagdip Singh, Xuemin Shen, J.W. Mark, Yuan Li, Ju-Yeon Lee, Beibei Dong, Lan Jiang, Nagesh N. Murthy and Sara Hanson. Their work appears in journals such as Marketing Letters, International Journal of Oncology, Journal of Business Research, Journal of Cellular Biochemistry and IEEE Transactions on Mobile Computing.
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.