Xiaojun Ye
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Geriatrics and Gerontology top 10%
Papers in
-
- Privacy-Preserving Technologies in Data 11
- Internet Traffic Analysis and Secure E-voting 9
- Cryptography and Data Security 7
-
- Silicon and Solar Cell Technologies 14
- Semiconductor materials and devices 8
- Co-authors
- Chaokun Wang (9 shared papers)Hongbo Li (22 shared papers)Rui Zhang (10 shared papers)Zheng Wang (5 shared papers)Jianmin Wang (9 shared papers)Qiang Tu (1 shared paper)Jing Yu (3 shared papers)Xiao Yuan (22 shared papers)
- Journals
- Journal of Materials Science Materials in Electronics (6 papers)Materials Science in Semiconductor Processing (6 papers)Journal of Physics and Chemistry of Solids (5 papers)Tsinghua Science & Technology (3 papers)RSC Advances (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaojun Ye
135 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 280
- Geriatrics and Gerontology 31
- Statistical and Nonlinear Physics 90
- Computer Vision and Pattern Recognition 144
- Software 26
Countries citing papers authored by Xiaojun Ye
This map shows the geographic impact of Xiaojun 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 Xiaojun Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Ye more than expected).
Fields of papers citing papers by Xiaojun Ye
This network shows the impact of papers produced by Xiaojun 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 Xiaojun Ye. The network helps show where Xiaojun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojun 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 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 71 | |
| 2 | 2017 | 68 | |
| 3 | 2018 | 60 | |
| 4 | 2017 | 56 | |
| 5 | 2021 | 52 | |
| 6 | 2022 | 51 | |
| 7 | 2021 | 43 | |
| 8 | 2020 | 38 | |
| 9 | 2023 | 35 | |
| 10 | 2018 | 32 | |
| 11 | 2022 | 29 | |
| 12 | 2020 | 27 | |
| 13 | 2016 | 22 | |
| 14 | 2019 | 21 | |
| 15 | 2018 | 20 | |
| 16 | 2020 | 19 | |
| 17 | 2019 | 19 | |
| 18 | 2022 | 19 | |
| 19 | 2017 | 18 | |
| 20 | 2021 | 18 |
About Xiaojun Ye
Xiaojun Ye is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Materials Chemistry, Information Systems and Computer Networks and Communications, having authored 150 papers that have together received 1.2k indexed citations. Recurring topics across this work include Silicon and Solar Cell Technologies (14 papers), Privacy-Preserving Technologies in Data (11 papers), 2D Materials and Applications (10 papers), Complex Network Analysis Techniques (9 papers), Internet Traffic Analysis and Secure E-voting (9 papers), Service-Oriented Architecture and Web Services (8 papers), Semiconductor materials and devices (8 papers) and Cryptography and Data Security (7 papers). The work is most often cited by research in Artificial Intelligence (280 citations), Geriatrics and Gerontology (31 citations), Statistical and Nonlinear Physics (90 citations), Computer Vision and Pattern Recognition (144 citations) and Software (26 citations). Xiaojun Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chaokun Wang, Hongbo Li, Rui Zhang, Zheng Wang, Jianmin Wang, Qiang Tu, Jing Yu, Xiao Yuan, Guiguang Ding and Hongbo Li. Their work appears in journals such as Journal of Materials Science Materials in Electronics, Materials Science in Semiconductor Processing, Journal of Physics and Chemistry of Solids, Tsinghua Science & Technology and RSC Advances.
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.