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)J.W. Mark (3 shared papers)Xuemin Shen (3 shared papers)Yuan Li (4 shared papers)Beibei Dong (1 shared paper)Ju-Yeon Lee (1 shared paper)Nagesh N. Murthy (1 shared paper)
- Journals
- Marketing Letters (4 papers)Journal of Business Research (2 papers)International Journal of Oncology (2 papers)Journal of Consumer Behaviour (1 paper)IEEE Transactions on Mobile Computing (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Ye
29 papers receiving 369 citations
Peers
Comparison fields: 5 of 104
- Organizational Behavior and Human Resource Management 103
- Marketing 84
- Developmental Neuroscience 14
- Strategy and Management 46
- Information Systems and Management 21
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 | 96 | |
| 2 | 2005 | 36 | |
| 3 | 2010 | 35 | |
| 4 | 2017 | 31 | |
| 5 | 2016 | 30 | |
| 6 | 2018 | 28 | |
| 7 | 2007 | 21 | |
| 8 | 2016 | 16 | |
| 9 | 2012 | 14 | |
| 10 | 2023 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2005 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2016 | 6 | |
| 16 | 2004 | 6 | |
| 17 | 2021 | 4 | |
| 18 | 2012 | 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 388 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 Steganography and Watermarking Techniques (2 papers) and Environmental Sustainability in Business (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (103 citations), Marketing (84 citations), Developmental Neuroscience (14 citations), Strategy and Management (46 citations) and Information Systems and Management (21 citations). Jun Ye has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Detelina Marinova, Jagdip Singh, J.W. Mark, Xuemin Shen, Yuan Li, Beibei Dong, Ju-Yeon Lee, Nagesh N. Murthy, Sara Hanson and Lan Jiang. Their work appears in journals such as Marketing Letters, Journal of Business Research, International Journal of Oncology, Journal of Consumer Behaviour 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.