Lingwei Chen
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
-
- Adversarial Robustness in Machine Learning 9
- Topic Modeling 5
- Imbalanced Data Classification Techniques 3
-
- Advanced Malware Detection Techniques 23
- Co-authors
- Yanfang Ye (9 shared papers)Shifu Hou (9 shared papers)Thirimachos Bourlai (3 shared papers)Xin Li (2 shared papers)Christopher S. Pan (1 shared paper)Syed A. Rahman (1 shared paper)Zhenzhou Tian (14 shared papers)Dinghao Wu (10 shared papers)
- Journals
- Electronics (2 papers)IEEE Access (2 papers)Information Sciences (1 paper)Education and Information Technologies (1 paper)Renewable Energy (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Lingwei Chen
37 papers receiving 565 citations
Peers
Comparison fields: 5 of 61
- Signal Processing 336
- Software 78
- Computer Networks and Communications 265
- Radiological and Ultrasound Technology 52
- Information Systems 197
Countries citing papers authored by Lingwei Chen
This map shows the geographic impact of Lingwei Chen'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 Lingwei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingwei Chen more than expected).
Fields of papers citing papers by Lingwei Chen
This network shows the impact of papers produced by Lingwei Chen. 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 Lingwei Chen. The network helps show where Lingwei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingwei Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 111 | |
| 2 | 2017 | 91 | |
| 3 | 2017 | 65 | |
| 4 | 2017 | 49 | |
| 5 | 2019 | 42 | |
| 6 | 2017 | 35 | |
| 7 | 2018 | 23 | |
| 8 | 2023 | 19 | |
| 9 | 2015 | 17 | |
| 10 | 2021 | 15 | |
| 11 | 2019 | 15 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2022 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2023 | 4 |
About Lingwei Chen
Lingwei Chen is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications and Software, having authored 43 papers that have together received 591 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (23 papers), Software Engineering Research (14 papers), Network Security and Intrusion Detection (10 papers), Adversarial Robustness in Machine Learning (9 papers), Software Testing and Debugging Techniques (6 papers), Software Reliability and Analysis Research (5 papers), Topic Modeling (5 papers) and Imbalanced Data Classification Techniques (3 papers). The work is most often cited by research in Signal Processing (336 citations), Software (78 citations), Computer Networks and Communications (265 citations), Radiological and Ultrasound Technology (52 citations) and Information Systems (197 citations). Lingwei Chen has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Yanfang Ye, Shifu Hou, Thirimachos Bourlai, Xin Li, Christopher S. Pan, Syed A. Rahman, Zhenzhou Tian, Dinghao Wu, Yanping Chen and Shouhuai Xu. Their work appears in journals such as Electronics, IEEE Access, Information Sciences, Education and Information Technologies and Renewable Energy.
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.