Sen Nie
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Software Engineering Research 10
-
- Advanced Malware Detection Techniques 8
- Co-authors
- Shi Wu (15 shared papers)Qiyi Tang (14 shared papers)Rui Cao (1 shared paper)Junzhou Huang (1 shared paper)Wenxin Zheng (1 shared paper)Jiaqi Wang (1 shared paper)Shuai Wang (6 shared papers)Pingchuan Ma (4 shared papers)
- Journals
- ACM Transactions on Software Engineering and Methodology (2 papers)IEEE Transactions on Software Engineering (1 paper)Measurement (1 paper)Journal of Food Science (1 paper)USENIX Security Symposium (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Sen Nie
17 papers receiving 312 citations
Peers
Comparison fields: 5 of 36
- Software 126
- Signal Processing 180
- Information Systems 206
- Computer Networks and Communications 78
- Artificial Intelligence 109
Countries citing papers authored by Sen Nie
This map shows the geographic impact of Sen Nie'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 Sen Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Nie more than expected).
Fields of papers citing papers by Sen Nie
This network shows the impact of papers produced by Sen Nie. 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 Sen Nie. The network helps show where Sen Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Nie, 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 | 2020 | 150 | |
| 2 | CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching | 2020 | 39 |
| 3 | 2024 | 17 | |
| 4 | 2022 | 16 | |
| 5 | 2022 | 15 | |
| 6 | 2022 | 15 | |
| 7 | Too good to be safe: Tricking lane detection in autonomous driving with crafted perturbations | 2021 | 13 |
| 8 | 2022 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 0 |
About Sen Nie
Sen Nie is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Software and Computer Networks and Communications, having authored 18 papers that have together received 322 indexed citations. Recurring topics across this work include Software Engineering Research (10 papers), Advanced Malware Detection Techniques (8 papers), Software Testing and Debugging Techniques (5 papers), Adversarial Robustness in Machine Learning (2 papers), Topic Modeling (2 papers), Software Reliability and Analysis Research (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Security and Verification in Computing (2 papers). The work is most often cited by research in Software (126 citations), Signal Processing (180 citations), Information Systems (206 citations), Computer Networks and Communications (78 citations) and Artificial Intelligence (109 citations). Sen Nie has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shi Wu, Qiyi Tang, Rui Cao, Junzhou Huang, Wenxin Zheng, Jiaqi Wang, Shuai Wang, Pingchuan Ma, Yuqun Zhang and Ling Jiang. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Software Engineering, Measurement, Journal of Food Science and USENIX Security Symposium.
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.