Mingxin Cui
Impact in
- Artificial Intelligence top 10%
- Internet Traffic Analysis and Secure E-voting
- Domain Adaptation and Few-Shot Learning
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- Network Security and Intrusion Detection
Papers in
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- Internet Traffic Analysis and Secure E-voting 20
- Adversarial Robustness in Machine Learning 3
- Hate Speech and Cyberbullying Detection 2
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- Network Security and Intrusion Detection 19
- Co-authors
- Gang Xiong (22 shared papers)Gaopeng Gou (19 shared papers)Zhen Li (13 shared papers)Yangyang Ding (1 shared paper)Yue Hu (1 shared paper)Jing Yu (1 shared paper)Qi Wu (1 shared paper)Bang Liu (1 shared paper)
In The Last Decade
Mingxin Cui
28 papers receiving 277 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 202
- Computer Networks and Communications 125
- Signal Processing 59
- Computer Vision and Pattern Recognition 98
- Information Systems 67
Countries citing papers authored by Mingxin Cui
This map shows the geographic impact of Mingxin Cui'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 Mingxin Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxin Cui more than expected).
Fields of papers citing papers by Mingxin Cui
This network shows the impact of papers produced by Mingxin Cui. 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 Mingxin Cui. The network helps show where Mingxin Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxin Cui, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 80 | |
| 2 | 2022 | 31 | |
| 3 | 2021 | 20 | |
| 4 | 2021 | 17 | |
| 5 | 2021 | 17 | |
| 6 | 2019 | 12 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 12 | |
| 9 | 2018 | 12 | |
| 10 | 2020 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2024 | 6 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2023 | 3 |
About Mingxin Cui
Mingxin Cui is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 284 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (20 papers), Network Security and Intrusion Detection (19 papers), Advanced Malware Detection Techniques (9 papers), Spam and Phishing Detection (4 papers), Adversarial Robustness in Machine Learning (3 papers), Advanced Steganography and Watermarking Techniques (3 papers), Hate Speech and Cyberbullying Detection (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Artificial Intelligence (202 citations), Computer Networks and Communications (125 citations), Signal Processing (59 citations), Computer Vision and Pattern Recognition (98 citations) and Information Systems (67 citations). Mingxin Cui has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Gang Xiong, Gaopeng Gou, Zhen Li, Yangyang Ding, Yue Hu, Jing Yu, Qi Wu, Bang Liu, Junzheng Shi and Yu Guo. Their work appears in journals such as Computer Networks, Journal of Information Security and Applications, Energy Reports, Organic & Biomolecular Chemistry and Horticulture Research.
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.