Xinyu Ma
Impact in
- Signal Processing top 5%
- Blind Source Separation Techniques
- Speech and Audio Processing
- Computational Mechanics top 10%
- Advanced Adaptive Filtering Techniques
Papers in
-
- Advanced Semiconductor Detectors and Materials 2
- Advanced Memory and Neural Computing 2
- Advanced Battery Materials and Technologies 2
- Advancements in Battery Materials 2
-
- Photoreceptor and optogenetics research 2
- Co-authors
- C.L. Nikias (1 shared paper)Fansheng Chen (3 shared papers)Weida Hu (4 shared papers)Jinshui Miao (4 shared papers)Xiao Fu (4 shared papers)Tangxin Li (4 shared papers)Qixiao Zhao (2 shared papers)Hangyu Xu (2 shared papers)
- Journals
- Nature Communications (1 paper)Light Science & Applications (1 paper)Applied Physics Letters (1 paper)Applied Soil Ecology (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Xinyu Ma
15 papers receiving 313 citations
Peers
Comparison fields: 5 of 53
- Signal Processing 106
- Computational Mechanics 71
- Electrical and Electronic Engineering 156
- Cellular and Molecular Neuroscience 30
- Control and Systems Engineering 38
Countries citing papers authored by Xinyu Ma
This map shows the geographic impact of Xinyu 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 Xinyu Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyu Ma more than expected).
Fields of papers citing papers by Xinyu Ma
This network shows the impact of papers produced by Xinyu 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 Xinyu Ma. The network helps show where Xinyu Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinyu 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 | 1996 | 163 | |
| 2 | 2023 | 93 | |
| 3 | 2024 | 19 | |
| 4 | 2024 | 13 | |
| 5 | 2025 | 11 | |
| 6 | 2025 | 9 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Xinyu Ma
Xinyu Ma is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Ecology, Artificial Intelligence and Atmospheric Science, having authored 18 papers that have together received 326 indexed citations. Recurring topics across this work include Advanced Semiconductor Detectors and Materials (2 papers), Advanced Memory and Neural Computing (2 papers), Natural Language Processing Techniques (2 papers), Advanced Battery Materials and Technologies (2 papers), Climate change and permafrost (2 papers), Advancements in Battery Materials (2 papers), Photoreceptor and optogenetics research (2 papers) and Peatlands and Wetlands Ecology (2 papers). The work is most often cited by research in Signal Processing (106 citations), Computational Mechanics (71 citations), Electrical and Electronic Engineering (156 citations), Cellular and Molecular Neuroscience (30 citations) and Control and Systems Engineering (38 citations). Xinyu Ma has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include C.L. Nikias, Fansheng Chen, Weida Hu, Jinshui Miao, Xiao Fu, Tangxin Li, Qixiao Zhao, Hangyu Xu, Jinjin Wang and Г. Н. Панин. Their work appears in journals such as Nature Communications, Light Science & Applications, Applied Physics Letters, Applied Soil Ecology and Advanced Functional Materials.
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.