Xingjun Ma
Impact in
- Artificial Intelligence top 0.5%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Privacy-Preserving Technologies in Data
-
- Digital Media Forensic Detection
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
Papers in
-
- Adversarial Robustness in Machine Learning 25
- Anomaly Detection Techniques and Applications 16
- Privacy-Preserving Technologies in Data 7
- Machine Learning and Data Classification 6
- Topic Modeling 4
-
- Advanced Neural Network Applications 6
- Generative Adversarial Networks and Image Synthesis 4
- Digital Media Forensic Detection 4
- Co-authors
- James Bailey (21 shared papers)Yisen Wang (8 shared papers)Jinfeng Yi (2 shared papers)Yu–Gang Jiang (11 shared papers)Yuan Luo (1 shared paper)Jingjing Chen (4 shared papers)Bojia Zi (2 shared papers)Yitian Zhao (1 shared paper)
- Journals
- IEEE Transactions on Dependable and Secure Computing (2 papers)ACM Transactions on Software Engineering and Methodology (1 paper)IEEE Transactions on Artificial Intelligence (1 paper)Knowledge and Information Systems (1 paper)Journal of Materials Science (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xingjun Ma
54 papers receiving 2.6k citations
Xingjun Ma's Hit Papers
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 2.0k
- Computer Vision and Pattern Recognition 909
- Health Informatics 50
- Signal Processing 295
- Software 42
Countries citing papers authored by Xingjun Ma
This map shows the geographic impact of Xingjun Ma'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 Xingjun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingjun Ma more than expected).
Fields of papers citing papers by Xingjun Ma
This network shows the impact of papers produced by Xingjun Ma. 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 Xingjun Ma. The network helps show where Xingjun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingjun Ma, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Symmetric Cross Entropy for Robust Learning With Noisy Labels Hit paper breakdown → | 2019 | 573 |
| 2 | Understanding adversarial attacks on deep learning based medical image analysis systems Hit paper breakdown → | 2020 | 312 |
| 3 | Privacy and Robustness in Federated Learning: Attacks and Defenses Hit paper breakdown → | 2022 | 283 |
| 4 | WildDeepfake Hit paper breakdown → | 2020 | 260 |
| 5 | Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality | 2018 | 177 |
| 6 | Improving Adversarial Robustness Requires Revisiting Misclassified Examples | 2020 | 156 |
| 7 | 2020 | 139 | |
| 8 | 2020 | 136 | |
| 9 | 2019 | 90 | |
| 10 | 2020 | 60 | |
| 11 | Dimensionality-Driven Learning with Noisy Labels | 2018 | 49 |
| 12 | 2021 | 49 | |
| 13 | 2021 | 43 | |
| 14 | 2022 | 40 | |
| 15 | 2024 | 33 | |
| 16 | 2022 | 32 | |
| 17 | Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning | 2021 | 21 |
| 18 | 2017 | 20 | |
| 19 | Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain | 2019 | 15 |
| 20 | 2021 | 14 |
About Xingjun Ma
Xingjun Ma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Surgery and Computer Networks and Communications, having authored 58 papers that have together received 2.7k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (25 papers), Anomaly Detection Techniques and Applications (16 papers), Privacy-Preserving Technologies in Data (7 papers), Advanced Neural Network Applications (6 papers), Machine Learning and Data Classification (6 papers), Topic Modeling (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Digital Media Forensic Detection (4 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (909 citations), Health Informatics (50 citations), Signal Processing (295 citations) and Software (42 citations). Xingjun Ma has collaborated with scholars based in China, Australia and United States. Frequent co-authors include James Bailey, Yisen Wang, Jinfeng Yi, Yu–Gang Jiang, Yuan Luo, Jingjing Chen, Bojia Zi, Yitian Zhao, Lin Gu and Feng Lu. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Artificial Intelligence, Knowledge and Information Systems and Journal of Materials Science.
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.