Chenhao Ma
Impact in
- Nuclear and High Energy Physics top 10%
- Magnetic confinement fusion research
-
- Complex Network Analysis Techniques
Papers in
-
- Advanced Graph Neural Networks 19
- Algorithms and Data Compression 6
-
- Complex Network Analysis Techniques 16
- Co-authors
- Reynold Cheng (18 shared papers)Yixiang Fang (25 shared papers)Laks V. S. Lakshmanan (8 shared papers)Xiaolin Han (5 shared papers)Wenjie Zhang (3 shared papers)Xuemin Lin (3 shared papers)Xiaodong Li (2 shared papers)M. Murakami (6 shared papers)
- Journals
- Proceedings of the VLDB Endowment (11 papers)Nuclear Fusion (5 papers)Optik (3 papers)Journal of Nuclear Materials (2 papers)The VLDB Journal (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Chenhao Ma
54 papers receiving 602 citations
Peers
Comparison fields: 5 of 73
- Nuclear and High Energy Physics 131
- Statistical and Nonlinear Physics 122
- Signal Processing 84
- Artificial Intelligence 224
- Physiology 28
Countries citing papers authored by Chenhao Ma
This map shows the geographic impact of Chenhao 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 Chenhao Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenhao Ma more than expected).
Fields of papers citing papers by Chenhao Ma
This network shows the impact of papers produced by Chenhao 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 Chenhao Ma. The network helps show where Chenhao Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenhao 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 57 | |
| 2 | 2020 | 49 | |
| 3 | 2019 | 46 | |
| 4 | 2023 | 41 | |
| 5 | 1991 | 36 | |
| 6 | 2022 | 31 | |
| 7 | 2022 | 30 | |
| 8 | 2021 | 27 | |
| 9 | 1983 | 26 | |
| 10 | 1985 | 26 | |
| 11 | 2022 | 26 | |
| 12 | 2022 | 22 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 19 | |
| 15 | 2022 | 16 | |
| 16 | 2022 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 1984 | 11 | |
| 19 | 2023 | 9 | |
| 20 | 2023 | 8 |
About Chenhao Ma
Chenhao Ma is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 73 papers that have together received 626 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (19 papers), Complex Network Analysis Techniques (16 papers), Data Management and Algorithms (12 papers), Graph Theory and Algorithms (11 papers), Magnetic confinement fusion research (8 papers), Fusion materials and technologies (7 papers), Algorithms and Data Compression (6 papers) and Complexity and Algorithms in Graphs (5 papers). The work is most often cited by research in Nuclear and High Energy Physics (131 citations), Statistical and Nonlinear Physics (122 citations), Signal Processing (84 citations), Artificial Intelligence (224 citations) and Physiology (28 citations). Chenhao Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Reynold Cheng, Yixiang Fang, Laks V. S. Lakshmanan, Xiaolin Han, Wenjie Zhang, Xuemin Lin, Xiaodong Li, M. Murakami, Kenneth W. Busch and E. A. Lazarus. Their work appears in journals such as Proceedings of the VLDB Endowment, Nuclear Fusion, Optik, Journal of Nuclear Materials and The VLDB Journal.
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.