Shengwei An
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Topic Modeling
Papers in
-
- Adversarial Robustness in Machine Learning 10
- Anomaly Detection Techniques and Applications 5
- Topic Modeling 2
-
- Advanced Malware Detection Techniques 6
- Co-authors
- Guanhong Tao (14 shared papers)Yingqi Liu (6 shared papers)Shiqing Ma (8 shared papers)Boxiong Shen (2 shared papers)Zhiqiang Wang (2 shared papers)Honghong Lyu (2 shared papers)Xiangyu Zhang (4 shared papers)Jian Zhao (1 shared paper)
- Journals
- Frontiers in Ecology and Evolution (1 paper)Proceedings of the ACM on Programming Languages (1 paper)Journal of Environmental Management (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Shengwei An
18 papers receiving 283 citations
Peers
Comparison fields: 5 of 57
- Signal Processing 54
- Artificial Intelligence 156
- Water Science and Technology 41
- Computer Vision and Pattern Recognition 44
- Software 8
Countries citing papers authored by Shengwei An
This map shows the geographic impact of Shengwei An'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 Shengwei An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengwei An more than expected).
Fields of papers citing papers by Shengwei An
This network shows the impact of papers produced by Shengwei An. 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 Shengwei An. The network helps show where Shengwei An may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengwei An, 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 | 78 | |
| 2 | 2022 | 33 | |
| 3 | 2022 | 32 | |
| 4 | 2022 | 26 | |
| 5 | 2022 | 25 | |
| 6 | Backdoor Scanning for Deep Neural Networks through K-Arm Optimization | 2021 | 21 |
| 7 | 2022 | 21 | |
| 8 | 2023 | 8 | |
| 9 | 2024 | 7 | |
| 10 | 2015 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2019 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 0 | |
| 20 | 2023 | 0 |
About Shengwei An
Shengwei An is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Biomedical Engineering and Computer Networks and Communications, having authored 20 papers that have together received 284 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (10 papers), Advanced Malware Detection Techniques (6 papers), Anomaly Detection Techniques and Applications (5 papers), Topic Modeling (2 papers), Digital Media Forensic Detection (2 papers), Advanced Neural Network Applications (2 papers), Software System Performance and Reliability (1 paper) and Lignin and Wood Chemistry (1 paper). The work is most often cited by research in Signal Processing (54 citations), Artificial Intelligence (156 citations), Water Science and Technology (41 citations), Computer Vision and Pattern Recognition (44 citations) and Software (8 citations). Shengwei An has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Guanhong Tao, Yingqi Liu, Shiqing Ma, Boxiong Shen, Zhiqiang Wang, Honghong Lyu, Xiangyu Zhang, Jian Zhao, Yichen Yan and Peng Sun. Their work appears in journals such as Frontiers in Ecology and Evolution, Proceedings of the ACM on Programming Languages, Journal of Environmental Management, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 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.