Tian Ye
Impact in
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- Nuclear reactor physics and engineering
- Nuclear Engineering Thermal-Hydraulics
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- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Nuclear Engineering Thermal-Hydraulics 2
- Nuclear reactor physics and engineering 2
- Advanced SAR Imaging Techniques 2
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- Adversarial Robustness in Machine Learning 2
- Co-authors
- Wenxi Tian (2 shared papers)Jun Wang (2 shared papers)Suizheng Qiu (2 shared papers)G.H. Su (1 shared paper)Min Chu (1 shared paper)Eric Chang (1 shared paper)Jian-Lai Zhou (1 shared paper)Rajgopal Kannan (4 shared papers)
- Journals
- Progress in Nuclear Energy (2 papers)IEEE Robotics and Automation Letters (1 paper)IEEE Transactions on Medical Imaging (1 paper)Applied Thermal Engineering (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Tian Ye
12 papers receiving 99 citations
Peers
Comparison fields: 5 of 29
- Aerospace Engineering 57
- Signal Processing 18
- Computational Mechanics 27
- Experimental and Cognitive Psychology 9
- Artificial Intelligence 20
Countries citing papers authored by Tian Ye
This map shows the geographic impact of Tian 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 Tian Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tian Ye more than expected).
Fields of papers citing papers by Tian Ye
This network shows the impact of papers produced by Tian 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 Tian Ye. The network helps show where Tian Ye may publish in the future.
Co-authors
The 23 scholars most cited alongside Tian 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 37 | |
| 2 | 2004 | 20 | |
| 3 | 2013 | 17 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 5 | |
| 6 | 2025 | 4 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 |
About Tian Ye
Tian Ye is a scholar working on Aerospace Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology and Materials Chemistry, having authored 12 papers that have together received 99 indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (2 papers), Nuclear Engineering Thermal-Hydraulics (2 papers), Nuclear reactor physics and engineering (2 papers), Adversarial Robustness in Machine Learning (2 papers), Advanced SAR Imaging Techniques (2 papers), Nuclear Materials and Properties (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Aerospace Engineering (57 citations), Signal Processing (18 citations), Computational Mechanics (27 citations), Experimental and Cognitive Psychology (9 citations) and Artificial Intelligence (20 citations). Tian Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenxi Tian, Jun Wang, Suizheng Qiu, G.H. Su, Min Chu, Eric Chang, Jian-Lai Zhou, G.H. Su, Rajgopal Kannan and Zhaohu Xing. Their work appears in journals such as Progress in Nuclear Energy, IEEE Robotics and Automation Letters, IEEE Transactions on Medical Imaging, Applied Thermal Engineering and Proceedings of the AAAI Conference on Artificial Intelligence.
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.