Benteng Ma
Impact in
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning
- Metaheuristic Optimization Algorithms Research
- Anomaly Detection Techniques and Applications
- Evolutionary Algorithms and Applications
- Machine Learning and Data Classification
- Machine Learning and ELM
- Domain Adaptation and Few-Shot Learning
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- Advanced Neural Network Applications
Papers in
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- Adversarial Robustness in Machine Learning 3
- Neural Networks and Applications 2
- AI in cancer detection 2
- Machine Learning and ELM 2
- Domain Adaptation and Few-Shot Learning 2
- Privacy-Preserving Technologies in Data 2
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- Advanced Neural Network Applications 4
- Co-authors
- Yong Xia (13 shared papers)Xiang Li (1 shared paper)Yanning Zhang (3 shared papers)Dacheng Tao (4 shared papers)Jing Zhang (2 shared papers)Shanshan Zhao (1 shared paper)Jiayi Chen (1 shared paper)Hengfei Cui (1 shared paper)
In The Last Decade
Benteng Ma
17 papers receiving 316 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 185
- Computer Vision and Pattern Recognition 111
- Signal Processing 27
- Media Technology 13
- Health Informatics 2
Countries citing papers authored by Benteng Ma
This map shows the geographic impact of Benteng 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 Benteng Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benteng Ma more than expected).
Fields of papers citing papers by Benteng Ma
This network shows the impact of papers produced by Benteng 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 Benteng Ma. The network helps show where Benteng Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Benteng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 84 | |
| 2 | 2017 | 80 | |
| 3 | 2022 | 60 | |
| 4 | Auto Learning Attention | 2020 | 15 |
| 5 | 2022 | 14 | |
| 6 | 2024 | 13 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2017 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Benteng Ma
Benteng Ma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Ophthalmology, having authored 20 papers that have together received 322 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Adversarial Robustness in Machine Learning (3 papers), Neural Networks and Applications (2 papers), Machine Learning in Materials Science (2 papers), AI in cancer detection (2 papers), Machine Learning and ELM (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Artificial Intelligence (185 citations), Computer Vision and Pattern Recognition (111 citations), Signal Processing (27 citations), Media Technology (13 citations) and Health Informatics (2 citations). Benteng Ma has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Yong Xia, Xiang Li, Yanning Zhang, Dacheng Tao, Jing Zhang, Shanshan Zhao, Jiayi Chen, Hengfei Cui, Junjun Yin and Baihua Chen. Their work appears in journals such as Pattern Recognition, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Image Processing, Biosensors and Bioelectronics and Physical Review Fluids.
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.