Bailing Wang
Impact in
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Network Security and Intrusion Detection 37
- Software-Defined Networks and 5G 8
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- Anomaly Detection Techniques and Applications 21
- Internet Traffic Analysis and Secure E-voting 11
- Co-authors
- Sirui Yao (1 shared paper)Zihe Liu (1 shared paper)Yu Peng (1 shared paper)Yang Liu (1 shared paper)Kai Wang (12 shared papers)Chao Wang (3 shared papers)Jindong Wang (2 shared papers)Tian Wang (1 shared paper)
In The Last Decade
Bailing Wang
107 papers receiving 1.2k citations
Bailing Wang's Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Networks and Communications 411
- Signal Processing 155
- Industrial and Manufacturing Engineering 137
- Control and Systems Engineering 259
- Artificial Intelligence 351
Countries citing papers authored by Bailing Wang
This map shows the geographic impact of Bailing 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 Bailing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bailing Wang more than expected).
Fields of papers citing papers by Bailing Wang
This network shows the impact of papers produced by Bailing 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 Bailing Wang. The network helps show where Bailing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bailing 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Review on cyber-physical systems Hit paper breakdown → | 2017 | 378 |
| 2 | 2020 | 66 | |
| 3 | 2018 | 48 | |
| 4 | 2019 | 47 | |
| 5 | 2022 | 41 | |
| 6 | 2014 | 38 | |
| 7 | 2022 | 30 | |
| 8 | 2023 | 27 | |
| 9 | 2023 | 26 | |
| 10 | 2014 | 25 | |
| 11 | 2023 | 21 | |
| 12 | 2023 | 19 | |
| 13 | 2023 | 19 | |
| 14 | 2021 | 18 | |
| 15 | 2023 | 16 | |
| 16 | 2015 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2022 | 16 | |
| 19 | 2022 | 15 | |
| 20 | 2022 | 15 |
About Bailing Wang
Bailing Wang is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Control and Systems Engineering, having authored 119 papers that have together received 1.2k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (37 papers), Anomaly Detection Techniques and Applications (21 papers), Smart Grid Security and Resilience (17 papers), Advanced Malware Detection Techniques (16 papers), Internet Traffic Analysis and Secure E-voting (11 papers), Software-Defined Networks and 5G (8 papers), Information and Cyber Security (7 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Computer Networks and Communications (411 citations), Signal Processing (155 citations), Industrial and Manufacturing Engineering (137 citations), Control and Systems Engineering (259 citations) and Artificial Intelligence (351 citations). Bailing Wang has collaborated with scholars based in China, Hong Kong and Sri Lanka. Frequent co-authors include Sirui Yao, Zihe Liu, Yu Peng, Yang Liu, Kai Wang, Chao Wang, Jindong Wang, Tian Wang, Chao Wang and Liren Zhang. Their work appears in journals such as Electronics, Knowledge and Information Systems, Expert Systems with Applications, Information Sciences and Wireless Communications and Mobile Computing.
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.