Can Ma
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
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- Energy Efficient Wireless Sensor Networks
- Mobile Ad Hoc Networks
Papers in
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- Advanced Data Storage Technologies 8
- Energy Efficient Wireless Sensor Networks 6
- Mobile Ad Hoc Networks 5
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- Multimodal Machine Learning Applications 5
- Co-authors
- Weiping Wang (3 shared papers)Qixiang Ye (1 shared paper)Chang Liu (1 shared paper)Yu Zhou (3 shared papers)Dongbao Yang (1 shared paper)Dezhao Luo (1 shared paper)Zhenquan Qin (4 shared papers)Jiaqi Xu (5 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)IEEE Transactions on Image Processing (1 paper)Ocean Engineering (1 paper)BMC Pulmonary Medicine (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Can Ma
30 papers receiving 229 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 118
- Computer Networks and Communications 75
- Artificial Intelligence 86
- Hardware and Architecture 6
- Information Systems 17
Countries citing papers authored by Can Ma
This map shows the geographic impact of Can 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 Can Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Ma more than expected).
Fields of papers citing papers by Can Ma
This network shows the impact of papers produced by Can 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 Can Ma. The network helps show where Can Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Can 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 99 | |
| 2 | 2013 | 15 | |
| 3 | 2021 | 12 | |
| 4 | 2010 | 11 | |
| 5 | 2023 | 9 | |
| 6 | 2013 | 9 | |
| 7 | 2021 | 9 | |
| 8 | 2012 | 8 | |
| 9 | 2024 | 7 | |
| 10 | 2011 | 7 | |
| 11 | 2011 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2013 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2025 | 3 | |
| 16 | Key Technology in Distributed File System Towards Big Data Analysis | 2014 | 3 |
| 17 | 2009 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2012 | 2 |
About Can Ma
Can Ma is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture and Information Systems, having authored 40 papers that have together received 238 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (8 papers), Energy Efficient Wireless Sensor Networks (6 papers), Parallel Computing and Optimization Techniques (6 papers), Mobile Ad Hoc Networks (5 papers), Natural Language Processing Techniques (5 papers), Multimodal Machine Learning Applications (5 papers), Topic Modeling (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (118 citations), Computer Networks and Communications (75 citations), Artificial Intelligence (86 citations), Hardware and Architecture (6 citations) and Information Systems (17 citations). Can Ma has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Weiping Wang, Qixiang Ye, Chang Liu, Yu Zhou, Dongbao Yang, Dezhao Luo, Zhenquan Qin, Jiaqi Xu, Lei Shu and Dan Meng. Their work appears in journals such as Transactions of the Association for Computational Linguistics, IEEE Transactions on Image Processing, Ocean Engineering, BMC Pulmonary Medicine and IEEE Access.
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.