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 35
- Software-Defined Networks and 5G 9
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- Anomaly Detection Techniques and Applications 19
- Internet Traffic Analysis and Secure E-voting 12
- Co-authors
- Yu Peng (1 shared paper)Sirui Yao (1 shared paper)Yang Liu (1 shared paper)Zihe Liu (1 shared paper)Kai Wang (10 shared papers)Chao Wang (3 shared papers)Jindong Wang (2 shared papers)Tian Wang (1 shared paper)
In The Last Decade
Bailing Wang
110 papers receiving 1.1k citations
Bailing Wang's Hit Papers
Peers
Comparison fields: 5 of 151
- Computer Networks and Communications 401
- Signal Processing 160
- Industrial and Manufacturing Engineering 113
- Artificial Intelligence 329
- Control and Systems Engineering 225
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 | 325 |
| 2 | 2020 | 60 | |
| 3 | 2019 | 47 | |
| 4 | 2018 | 46 | |
| 5 | 2022 | 38 | |
| 6 | 2014 | 36 | |
| 7 | 2022 | 29 | |
| 8 | 2023 | 21 | |
| 9 | 2023 | 20 | |
| 10 | 2023 | 20 | |
| 11 | 2017 | 20 | |
| 12 | 2014 | 19 | |
| 13 | 2023 | 18 | |
| 14 | 2021 | 16 | |
| 15 | 2015 | 16 | |
| 16 | 2023 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2022 | 13 | |
| 20 | 2021 | 12 |
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 1.1k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (35 papers), Anomaly Detection Techniques and Applications (19 papers), Advanced Malware Detection Techniques (18 papers), Smart Grid Security and Resilience (16 papers), Internet Traffic Analysis and Secure E-voting (12 papers), Software-Defined Networks and 5G (9 papers), Complex Network Analysis Techniques (7 papers) and Information and Cyber Security (6 papers). The work is most often cited by research in Computer Networks and Communications (401 citations), Signal Processing (160 citations), Industrial and Manufacturing Engineering (113 citations), Artificial Intelligence (329 citations) and Control and Systems Engineering (225 citations). Bailing Wang has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Yu Peng, Sirui Yao, Yang Liu, Zihe Liu, Kai Wang, Chao Wang, Jindong Wang, Tian Wang, Chongjun Zhao and Chunhua Zhao. Their work appears in journals such as Expert Systems with Applications, Electronics, Knowledge and Information Systems, Information Sciences and IEEE Access.
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.