Yuan Ma
- Computer Networks and Communications top 5%
- Computational Mechanics top 5%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Aerospace Engineering
- Co-authors
- Yue GaoXingjian ZhangShuguang CuiYing‐Chang LiangZhi QuanWei ZhangClive PariniH. Vincent Poor
- Topics
- Sparse and Compressive Sensing Techniques (17 papers)Cognitive Radio Networks and Spectrum Sensing (15 papers)Advanced Adaptive Filtering Techniques (12 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Transactions on CommunicationsIEEE Transactions on Wireless Communications
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yuan Ma
33 papers receiving 423 citations
Peers
Comparison fields: 5 of 44
- Computer Networks and Communications 248
- Computational Mechanics 209
- Electrical and Electronic Engineering 193
- Signal Processing 84
- Aerospace Engineering 69
Countries citing papers authored by Yuan Ma
This map shows the geographic impact of Yuan 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 Yuan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Ma more than expected).
Fields of papers citing papers by Yuan Ma
This network shows the impact of papers produced by Yuan 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 Yuan Ma. The network helps show where Yuan Ma may publish in the future.
Co-authorship network of co-authors of Yuan Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Ma. A scholar is included among the top collaborators of Yuan Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuan Ma. Yuan Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 27 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 26 | |
| 13 | 6 | |
| 14 | 31 | |
| 15 | 17 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 13 | |
| 20 | Design of FIR filter with specific frequency response and its application in underwater acoustic signal processing | 4 |
About Yuan Ma
Yuan Ma is a scholar working on Computational Mechanics, Computer Networks and Communications and Signal Processing, having authored 37 papers that have together received 435 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (17 papers), Cognitive Radio Networks and Spectrum Sensing (15 papers) and Advanced Adaptive Filtering Techniques (12 papers). The work is most often cited by research in Computer Networks and Communications (248 citations), Computational Mechanics (209 citations) and Signal Processing (84 citations). Yuan Ma has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yue Gao, Xingjian Zhang, Shuguang Cui, Ying‐Chang Liang, Zhi Quan, Wei Zhang, Clive Parini, H. Vincent Poor, Haoran Qi and Minxiu Zhang. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications and IEEE Transactions on Wireless Communications.
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.