M. M. Ma
Impact in
-
- Brain Tumor Detection and Classification
-
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Tactile and Sensory Interactions
Papers in
-
- Gene expression and cancer classification 1
- Geomagnetism and Paleomagnetism Studies 1
-
- Medical Image Segmentation Techniques 1
- Co-authors
- Jing Qin (1 shared paper)Daoqiang Zhang (2 shared papers)Feng Liu (2 shared papers)Xiaoke Hao (3 shared papers)Jianhua Gong (1 shared paper)Jun Sun (1 shared paper)Xiaohui Ma (1 shared paper)Xianbin Liu (1 shared paper)
- Journals
- IEEE Robotics & Automation Magazine (1 paper)Computers in Biology and Medicine (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)CATENA (1 paper)Radiation Detection Technology and Methods (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
M. M. Ma
6 papers receiving 27 citations
Peers
Comparison fields: 5 of 27
- Neurology 5
- Cognitive Neuroscience 10
- Computer Vision and Pattern Recognition 6
- Health Information Management 1
- Psychiatry and Mental health 3
Countries citing papers authored by M. M. Ma
This map shows the geographic impact of M. M. 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 M. M. Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. M. Ma more than expected).
Fields of papers citing papers by M. M. Ma
This network shows the impact of papers produced by M. M. 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 M. M. Ma. The network helps show where M. M. Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside M. M. 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 | 2023 | 16 | |
| 2 | 2023 | 4 | |
| 3 | 2018 | 4 | |
| 4 | 2019 | 1 | |
| 5 | 2019 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2025 | 0 |
About M. M. Ma
M. M. Ma is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Control and Systems Engineering, Information Systems and Atomic and Molecular Physics, and Optics, having authored 8 papers that have together received 27 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (1 paper), Medical Image Segmentation Techniques (1 paper), Brain Tumor Detection and Classification (1 paper), Particle physics theoretical and experimental studies (1 paper), Gene expression and cancer classification (1 paper), Virtual Reality Applications and Impacts (1 paper), Dementia and Cognitive Impairment Research (1 paper) and Geomagnetism and Paleomagnetism Studies (1 paper). The work is most often cited by research in Neurology (5 citations), Cognitive Neuroscience (10 citations), Computer Vision and Pattern Recognition (6 citations), Health Information Management (1 citation) and Psychiatry and Mental health (3 citations). M. M. Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jing Qin, Daoqiang Zhang, Feng Liu, Xiaoke Hao, Jianhua Gong, Jun Sun, Xiaohui Ma, Xianbin Liu, Ye Yuan and Yingchun Guo. Their work appears in journals such as IEEE Robotics & Automation Magazine, Computers in Biology and Medicine, IEEE Journal of Biomedical and Health Informatics, CATENA and Radiation Detection Technology and Methods.
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.