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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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Steganography and Watermarking Techniques
Papers in
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- Internet Traffic Analysis and Secure E-voting 15
- Adversarial Robustness in Machine Learning 2
- Hate Speech and Cyberbullying Detection 2
- Domain Adaptation and Few-Shot Learning 2
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- Network Security and Intrusion Detection 14
- Co-authors
- Gang Xiong (16 shared papers)Gaopeng Gou (14 shared papers)Bang Liu (1 shared paper)Yangyang Ding (1 shared paper)Jing Yu (1 shared paper)Yue Hu (1 shared paper)Qi Wu (1 shared paper)Zhen Li (9 shared papers)
In The Last Decade
Mingxin Cui
23 papers receiving 221 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 159
- Computer Vision and Pattern Recognition 89
- Computer Networks and Communications 84
- Signal Processing 39
- Information Systems 51
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 76 | |
| 2 | 2022 | 28 | |
| 3 | 2021 | 20 | |
| 4 | 2021 | 17 | |
| 5 | 2021 | 15 | |
| 6 | 2019 | 11 | |
| 7 | 2020 | 10 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2024 | 6 | |
| 11 | 2021 | 4 | |
| 12 | 2025 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2021 | 1 |
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 24 papers that have together received 227 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (15 papers), Network Security and Intrusion Detection (14 papers), Advanced Malware Detection Techniques (7 papers), Adversarial Robustness in Machine Learning (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Blockchain Technology Applications and Security (2 papers), Digital and Cyber Forensics (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Artificial Intelligence (159 citations), Computer Vision and Pattern Recognition (89 citations), Computer Networks and Communications (84 citations), Signal Processing (39 citations) and Information Systems (51 citations). Mingxin Cui has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Gang Xiong, Gaopeng Gou, Bang Liu, Yangyang Ding, Jing Yu, Yue Hu, Qi Wu, Zhen Li, Junzheng Shi and Yu Guo. Their work appears in journals such as Computer Networks, Organic & Biomolecular Chemistry, Journal of Information Security and Applications, Journal of Global Information Management 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.