Tian-Hui Ma
- Computer Vision and Pattern Recognition top 1%
- Computational Mechanics top 1%
- Computational Mathematics top 0.2%
- Media Technology top 1%
- Mechanics of Materials top 10%
- Co-authors
- Ting‐Zhu HuangXi-Le ZhaoTeng-Yu JiYu‐Bang ZhengTai-Xiang JiangJing‐Hua YangM.K. LeiMeng Ding
- Topics
- Sparse and Compressive Sensing Techniques (24 papers)Image and Signal Denoising Methods (24 papers)Ion-surface interactions and analysis (9 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingMaterials Science and Engineering AJournal of Materials Science
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Tian-Hui Ma
47 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 856
- Computational Mechanics 797
- Computational Mathematics 413
- Media Technology 391
- Mechanics of Materials 164
Countries citing papers authored by Tian-Hui Ma
This map shows the geographic impact of Tian-Hui 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 Tian-Hui Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tian-Hui Ma more than expected).
Fields of papers citing papers by Tian-Hui Ma
This network shows the impact of papers produced by Tian-Hui 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 Tian-Hui Ma. The network helps show where Tian-Hui Ma may publish in the future.
Co-authorship network of co-authors of Tian-Hui Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Tian-Hui Ma. A scholar is included among the top collaborators of Tian-Hui 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 Tian-Hui Ma. Tian-Hui 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 | 50 | |
| 2 | 18 | |
| 3 | 74 | |
| 4 | 16 | |
| 5 | 56 | |
| 6 | 197 | |
| 7 | 106 | |
| 8 | 21 | |
| 9 | 95 | |
| 10 | 53 | |
| 11 | 47 | |
| 12 | 21 | |
| 13 | 21 | |
| 14 | 73 | |
| 15 | 3 | |
| 16 | 21 | |
| 17 | 23 | |
| 18 | 8 | |
| 19 | 22 | |
| 20 | 132 |
About Tian-Hui Ma
Tian-Hui Ma is a scholar working on Computational Mathematics, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (24 papers), Image and Signal Denoising Methods (24 papers) and Ion-surface interactions and analysis (9 papers). The work is most often cited by research in Computational Mathematics (413 citations), Media Technology (391 citations) and Computer Vision and Pattern Recognition (856 citations). Tian-Hui Ma has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Ting‐Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Yu‐Bang Zheng, Tai-Xiang Jiang, Jing‐Hua Yang, M.K. Lei, Meng Ding, Yong Chen and Gang Liu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Materials Science and Engineering A and Journal of Materials Science.
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.