Jun Ye
Impact in
- Information Systems top 10%
- Cloud Data Security Solutions
- Blockchain Technology Applications and Security
- Cryptography and Residue Arithmetic
- Artificial Intelligence top 10%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
Papers in
-
- Cryptography and Data Security 21
- Privacy-Preserving Technologies in Data 9
- Coding theory and cryptography 4
-
- Cloud Data Security Solutions 12
- Blockchain Technology Applications and Security 5
- Cryptography and Residue Arithmetic 5
- Co-authors
- Yong Ding (4 shared papers)Zheng Xu (4 shared papers)Jagdip Singh (1 shared paper)Detelina Marinova (1 shared paper)Kim‐Kwang Raymond Choo (1 shared paper)Xiaofeng Chen (5 shared papers)Changsong Yang (1 shared paper)Jianfeng Wang (3 shared papers)
- Journals
- Applied Sciences (3 papers)Soft Computing (2 papers)Sensors (2 papers)International Journal of Intelligent Systems (2 papers)Symmetry (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Ye
49 papers receiving 259 citations
Peers
Comparison fields: 5 of 69
- Information Systems 106
- Artificial Intelligence 123
- Organizational Behavior and Human Resource Management 28
- Computer Networks and Communications 55
- Computer Vision and Pattern Recognition 46
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 37 | |
| 2 | 2016 | 30 | |
| 3 | 2016 | 28 | |
| 4 | 2016 | 17 | |
| 5 | 2015 | 12 | |
| 6 | 2015 | 11 | |
| 7 | 2022 | 11 | |
| 8 | 2025 | 8 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2018 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 3 |
About Jun Ye
Jun Ye is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 59 papers that have together received 263 indexed citations. Recurring topics across this work include Cryptography and Data Security (21 papers), Cloud Data Security Solutions (12 papers), Privacy-Preserving Technologies in Data (9 papers), Chaos-based Image/Signal Encryption (8 papers), Blockchain Technology Applications and Security (5 papers), Cryptography and Residue Arithmetic (5 papers), IoT and Edge/Fog Computing (4 papers) and Coding theory and cryptography (4 papers). The work is most often cited by research in Information Systems (106 citations), Artificial Intelligence (123 citations), Organizational Behavior and Human Resource Management (28 citations), Computer Networks and Communications (55 citations) and Computer Vision and Pattern Recognition (46 citations). Jun Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yong Ding, Zheng Xu, Jagdip Singh, Detelina Marinova, Kim‐Kwang Raymond Choo, Xiaofeng Chen, Changsong Yang, Jianfeng Wang, Jianfeng Ma and Ke Fu. Their work appears in journals such as Applied Sciences, Soft Computing, Sensors, International Journal of Intelligent Systems and Symmetry.
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.