Xiaohui Kuang
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 2%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
Papers in
-
- Adversarial Robustness in Machine Learning 24
- Anomaly Detection Techniques and Applications 12
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- Network Security and Intrusion Detection 24
- Software-Defined Networks and 5G 9
- Co-authors
- Changqiao Xu (18 shared papers)Yu‐an Tan (7 shared papers)Jing Li (3 shared papers)Tao Zhang (10 shared papers)Quanxin Zhang (8 shared papers)Jin Li (4 shared papers)Xianmin Wang (2 shared papers)Yahong Han (5 shared papers)
- Journals
- Information Sciences (4 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)Electronics (2 papers)IEEE Access (2 papers)International Journal of Intelligent Systems (2 papers)
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Xiaohui Kuang
67 papers receiving 859 citations
Peers
Comparison fields: 5 of 72
- Signal Processing 194
- Artificial Intelligence 539
- Computer Networks and Communications 326
- Software 28
- Health Informatics 9
Countries citing papers authored by Xiaohui Kuang
This map shows the geographic impact of Xiaohui Kuang'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 Xiaohui Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Kuang more than expected).
Fields of papers citing papers by Xiaohui Kuang
This network shows the impact of papers produced by Xiaohui Kuang. 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 Xiaohui Kuang. The network helps show where Xiaohui Kuang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui Kuang, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 141 | |
| 2 | 2020 | 91 | |
| 3 | 2022 | 54 | |
| 4 | 2020 | 46 | |
| 5 | 2020 | 44 | |
| 6 | 2020 | 40 | |
| 7 | 2023 | 36 | |
| 8 | 2020 | 34 | |
| 9 | 2019 | 32 | |
| 10 | 2023 | 31 | |
| 11 | 2019 | 28 | |
| 12 | 2019 | 22 | |
| 13 | 2021 | 21 | |
| 14 | 2020 | 21 | |
| 15 | 2022 | 20 | |
| 16 | 2022 | 20 | |
| 17 | 2023 | 18 | |
| 18 | 2019 | 16 | |
| 19 | 2019 | 15 | |
| 20 | 2019 | 11 |
About Xiaohui Kuang
Xiaohui Kuang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Software, having authored 76 papers that have together received 893 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (24 papers), Network Security and Intrusion Detection (24 papers), Advanced Malware Detection Techniques (23 papers), Anomaly Detection Techniques and Applications (12 papers), Software Testing and Debugging Techniques (9 papers), Software-Defined Networks and 5G (9 papers), Software Engineering Research (7 papers) and Software Reliability and Analysis Research (7 papers). The work is most often cited by research in Signal Processing (194 citations), Artificial Intelligence (539 citations), Computer Networks and Communications (326 citations), Software (28 citations) and Health Informatics (9 citations). Xiaohui Kuang has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Changqiao Xu, Yu‐an Tan, Jing Li, Tao Zhang, Quanxin Zhang, Jin Li, Xianmin Wang, Yahong Han, Zan Zhou and Yi Tang. Their work appears in journals such as Information Sciences, IEEE Transactions on Intelligent Transportation Systems, Electronics, IEEE Access and International Journal of Intelligent Systems.
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.