Ming Xu
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
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- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Generative Adversarial Networks and Image Synthesis
- Chaos-based Image/Signal Encryption
Papers in
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- Advanced Malware Detection Techniques 20
- Data Management and Algorithms 11
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- Network Security and Intrusion Detection 18
- Distributed Control Multi-Agent Systems 10
- Journals
- IEEE Access (9 papers)IEEE Transactions on Multimedia (3 papers)Symmetry (3 papers)Digital Investigation (3 papers)Future Internet (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming Xu
108 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 74
- Signal Processing 316
- Computer Vision and Pattern Recognition 447
- Computer Networks and Communications 329
- Information Systems 253
- Artificial Intelligence 345
Countries citing papers authored by Ming Xu
This map shows the geographic impact of Ming Xu'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 Ming Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Xu more than expected).
Fields of papers citing papers by Ming Xu
This network shows the impact of papers produced by Ming Xu. 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 Ming Xu. The network helps show where Ming Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 7 | |
| 14 | 2020 | 3 | |
| 15 | 2018 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2014 | 16 | |
| 18 | 2008 | 3 | |
| 19 | 2007 | 2 | |
| 20 | 2007 | 12 |
About Ming Xu
Ming Xu is a scholar working on Signal Processing, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computational Mathematics and Information Systems, having authored 124 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (34 papers), Advanced Malware Detection Techniques (20 papers), Network Security and Intrusion Detection (18 papers), Advanced Steganography and Watermarking Techniques (16 papers), Digital and Cyber Forensics (15 papers), Data Management and Algorithms (11 papers), Internet Traffic Analysis and Secure E-voting (10 papers) and Distributed Control Multi-Agent Systems (10 papers). The work is most often cited by research in Signal Processing (316 citations), Computer Vision and Pattern Recognition (447 citations), Computer Networks and Communications (329 citations), Information Systems (253 citations) and Artificial Intelligence (345 citations). Ming Xu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ning Zheng, Tong Qiao, Yiming Wu, Jian Xu, Xingchen Zhou, Haiping Zhang, Ting Wu, Xiangyang Luo, Xiangyang Luo and Xue Yang. Their work appears in journals such as IEEE Access, IEEE Transactions on Multimedia, Symmetry, Digital Investigation and Future Internet.
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.