Liming Wang
Impact in
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- Topic Modeling 8
- Security and Verification in Computing 7
- Anomaly Detection Techniques and Applications 6
- Adversarial Robustness in Machine Learning 5
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- Network Security and Intrusion Detection 21
- Co-authors
- Hongjia Li (10 shared papers)Zhen Xu (14 shared papers)Jinxia Liu (6 shared papers)Yanwei Liu (6 shared papers)Antonios Argyriou (4 shared papers)Jing Yang (4 shared papers)Cheng Lei (1 shared paper)Mark Hasegawa‐Johnson (3 shared papers)
- Journals
- IEEE Access (2 papers)Atmosphere (1 paper)Thin Solid Films (1 paper)IEEE Transactions on Image Processing (1 paper)Synthetic Metals (1 paper)
- Partner nations
- ChinaUnited StatesGreece
In The Last Decade
Liming Wang
54 papers receiving 288 citations
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 148
- Signal Processing 53
- Artificial Intelligence 115
- Information Systems 76
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Liming Wang
This map shows the geographic impact of Liming Wang'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 Liming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liming Wang more than expected).
Fields of papers citing papers by Liming Wang
This network shows the impact of papers produced by Liming Wang. 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 Liming Wang. The network helps show where Liming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Liming Wang, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 48 | |
| 2 | 2018 | 20 | |
| 3 | 2022 | 18 | |
| 4 | 2019 | 17 | |
| 5 | 2018 | 15 | |
| 6 | 2016 | 14 | |
| 7 | 2020 | 11 | |
| 8 | 2018 | 10 | |
| 9 | 2000 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2000 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2018 | 4 |
About Liming Wang
Liming Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 298 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (21 papers), Advanced Malware Detection Techniques (11 papers), Topic Modeling (8 papers), Security and Verification in Computing (7 papers), Anomaly Detection Techniques and Applications (6 papers), Adversarial Robustness in Machine Learning (5 papers), Cloud Computing and Resource Management (5 papers) and Spam and Phishing Detection (5 papers). The work is most often cited by research in Computer Networks and Communications (148 citations), Signal Processing (53 citations), Artificial Intelligence (115 citations), Information Systems (76 citations) and Computer Vision and Pattern Recognition (50 citations). Liming Wang has collaborated with scholars based in China, United States and Greece. Frequent co-authors include Hongjia Li, Zhen Xu, Jinxia Liu, Yanwei Liu, Antonios Argyriou, Jing Yang, Cheng Lei, Mark Hasegawa‐Johnson, Hongqi Zhang and Shiyu Chang. Their work appears in journals such as IEEE Access, Atmosphere, Thin Solid Films, IEEE Transactions on Image Processing and Synthetic Metals.
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.