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)Junzhou Huang (1 shared paper)Rui Cao (1 shared paper)Shuai Wang (6 shared papers)Jiaqi Wang (1 shared paper)Wenxin Zheng (1 shared paper)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)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
In The Last Decade
Sen Nie
15 papers receiving 284 citations
Peers
Comparison fields: 5 of 35
- Software 121
- Signal Processing 162
- Information Systems 189
- Artificial Intelligence 100
- Computer Networks and Communications 68
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 | 141 | |
| 2 | CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching | 2020 | 38 |
| 3 | 2022 | 16 | |
| 4 | 2022 | 15 | |
| 5 | 2022 | 13 | |
| 6 | 2023 | 12 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2024 | 10 | |
| 11 | Too good to be safe: Tricking lane detection in autonomous driving with crafted perturbations | 2021 | 8 |
| 12 | 2024 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 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 293 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), Software Reliability and Analysis Research (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Security and Verification in Computing (2 papers), Network Security and Intrusion Detection (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Software (121 citations), Signal Processing (162 citations), Information Systems (189 citations), Artificial Intelligence (100 citations) and Computer Networks and Communications (68 citations). Sen Nie has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Shi Wu, Qiyi Tang, Junzhou Huang, Rui Cao, Shuai Wang, Jiaqi Wang, Wenxin Zheng, 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 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.