He Ye
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 5%
- Software Engineering Research
Papers in
-
- Cryptography and Data Security 2
- Adversarial Robustness in Machine Learning 2
- Natural Language Processing Techniques 1
- Software 6
- Software Testing and Debugging Techniques 6
- Software Reliability and Analysis Research 3
- Co-authors
- Martin Monperrus (3 shared papers)Matías Martínez (2 shared papers)Yanlin Wang (2 shared papers)Qiqi Gao (1 shared paper)Wanjun Zhong (1 shared paper)Thomas Durieux (1 shared paper)Jian Gu (1 shared paper)Holly Robbins (1 shared paper)
- Journals
- ACM Transactions on Software Engineering and Methodology (1 paper)IEEE Transactions on Software Engineering (1 paper)Natural Hazards (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- SwedenUnited StatesChina
In The Last Decade
He Ye
8 papers receiving 245 citations
He Ye's Hit Papers
Peers
Comparison fields: 5 of 55
- Software 127
- Information Systems 129
- Health Informatics 5
- Artificial Intelligence 58
- Signal Processing 19
Countries citing papers authored by He Ye
This map shows the geographic impact of He 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 He Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Ye more than expected).
Fields of papers citing papers by He Ye
This network shows the impact of papers produced by He 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 He Ye. The network helps show where He Ye may publish in the future.
Co-authors
The 21 scholars most cited alongside He 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 | 2022 | 96 | |
| 2 | MemoryBank: Enhancing Large Language Models with Long-Term Memory Hit paper breakdown → | 2024 | 53 |
| 3 | 2021 | 43 | |
| 4 | 2024 | 23 | |
| 5 | 2017 | 17 | |
| 6 | 2023 | 8 | |
| 7 | Comparative Study of Synchronous and Asynchronous Online Case Discussions | 2004 | 4 |
| 8 | An Efficient and Secure Group Signature Scheme | 2004 | 1 |
| 9 | 2025 | 0 | |
| 10 | 2025 | 0 | |
| 11 | An Efficient and Secure Dynamic Group Signature Scheme | 2005 | 0 |
| 12 | 2025 | 0 |
About He Ye
He Ye is a scholar working on Artificial Intelligence, Software, Information Systems, Computer Networks and Communications and Sociology and Political Science, having authored 12 papers that have together received 245 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (6 papers), Software Engineering Research (4 papers), Software Reliability and Analysis Research (3 papers), Cryptography and Data Security (2 papers), Adversarial Robustness in Machine Learning (2 papers), Natural Language Processing Techniques (1 paper), Community Health and Development (1 paper) and Access Control and Trust (1 paper). The work is most often cited by research in Software (127 citations), Information Systems (129 citations), Health Informatics (5 citations), Artificial Intelligence (58 citations) and Signal Processing (19 citations). He Ye has collaborated with scholars based in Sweden, United States and China. Frequent co-authors include Martin Monperrus, Matías Martínez, Yanlin Wang, Qiqi Gao, Wanjun Zhong, Thomas Durieux, Jian Gu, Holly Robbins, Zihao Li and Barbara B. Levin. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Software Engineering, Natural Hazards, arXiv (Cornell University) 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.