Junbo Ma
Impact in
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Anomaly Detection Techniques and Applications
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- Face and Expression Recognition
Papers in
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- Advanced Graph Neural Networks 8
- Domain Adaptation and Few-Shot Learning 3
- Machine Learning and ELM 3
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- Graph Theory and Algorithms 3
- Co-authors
- Xiaofeng Zhu (11 shared papers)Yonghua Zhu (3 shared papers)Changan Yuan (1 shared paper)Guorong Wu (6 shared papers)Jiangzhang Gan (3 shared papers)Rongyao Hu (3 shared papers)Ziwen Peng (3 shared papers)Guoqiu Wen (5 shared papers)
- Journals
- Multimedia Tools and Applications (2 papers)Information Fusion (1 paper)Knowledge-Based Systems (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)Medical Image Analysis (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Junbo Ma
25 papers receiving 464 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 259
- Computer Vision and Pattern Recognition 134
- Neurology 39
- Health Information Management 22
- Health Informatics 7
Countries citing papers authored by Junbo Ma
This map shows the geographic impact of Junbo 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 Junbo Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junbo Ma more than expected).
Fields of papers citing papers by Junbo Ma
This network shows the impact of papers produced by Junbo 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 Junbo Ma. The network helps show where Junbo Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Junbo 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 143 | |
| 2 | 2021 | 47 | |
| 3 | 2021 | 46 | |
| 4 | 2018 | 38 | |
| 5 | 2019 | 26 | |
| 6 | 2023 | 25 | |
| 7 | 2024 | 15 | |
| 8 | 2020 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2018 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2019 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2020 | 4 |
About Junbo Ma
Junbo Ma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Psychiatry and Mental health and Neurology, having authored 27 papers that have together received 470 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (8 papers), Functional Brain Connectivity Studies (6 papers), Dementia and Cognitive Impairment Research (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Graph Theory and Algorithms (3 papers), Machine Learning and ELM (3 papers), Speech and Audio Processing (2 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Artificial Intelligence (259 citations), Computer Vision and Pattern Recognition (134 citations), Neurology (39 citations), Health Information Management (22 citations) and Health Informatics (7 citations). Junbo Ma has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Xiaofeng Zhu, Yonghua Zhu, Changan Yuan, Guorong Wu, Jiangzhang Gan, Rongyao Hu, Ziwen Peng, Guoqiu Wen, Defu Yang and Wanting Ji. Their work appears in journals such as Multimedia Tools and Applications, Information Fusion, Knowledge-Based Systems, IEEE Transactions on Circuits and Systems for Video Technology and Medical Image Analysis.
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.