Feiying Ma
Impact in
-
- Computer Graphics and Visualization Techniques
-
- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Digital Media Forensic Detection
- Image and Signal Denoising Methods
Papers in
-
- Advanced Vision and Imaging 3
- Advanced Image Processing Techniques 3
- Generative Adversarial Networks and Image Synthesis 3
- Image Enhancement Techniques 1
- Digital Media Forensic Detection 1
-
- Computer Graphics and Visualization Techniques 3
- Co-authors
- Xuansong Xie (5 shared papers)Shijian Lu (5 shared papers)Fangneng Zhan (5 shared papers)Yingchen Yu (4 shared papers)Jianxiong Pan (3 shared papers)Chunyan Miao (3 shared papers)Kaiwen Cui (2 shared papers)Rongliang Wu (1 shared paper)
- Journals
- Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (3 papers)
- Partner nations
- SingaporeCayman IslandsChina
In The Last Decade
Feiying Ma
6 papers receiving 281 citations
Peers
Comparison fields: 5 of 42
- Computer Graphics and Computer-Aided Design 71
- Computer Vision and Pattern Recognition 232
- Computational Mechanics 52
- Geology 12
- Media Technology 17
Countries citing papers authored by Feiying Ma
This map shows the geographic impact of Feiying 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 Feiying Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feiying Ma more than expected).
Fields of papers citing papers by Feiying Ma
This network shows the impact of papers produced by Feiying 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 Feiying Ma. The network helps show where Feiying Ma may publish in the future.
Co-authors
The 17 scholars most cited alongside Feiying 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 | 2021 | 93 | |
| 2 | 2021 | 67 | |
| 3 | 2021 | 48 | |
| 4 | 2021 | 38 | |
| 5 | 2021 | 26 | |
| 6 | 2021 | 11 |
About Feiying Ma
Feiying Ma is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Atomic and Molecular Physics, and Optics, Computational Mechanics and Media Technology, having authored 6 papers that have together received 283 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (3 papers), Advanced Vision and Imaging (3 papers), Advanced Image Processing Techniques (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), 3D Shape Modeling and Analysis (1 paper), Image Processing Techniques and Applications (1 paper), Image Enhancement Techniques (1 paper) and Digital Media Forensic Detection (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (71 citations), Computer Vision and Pattern Recognition (232 citations), Computational Mechanics (52 citations), Geology (12 citations) and Media Technology (17 citations). Feiying Ma has collaborated with scholars based in Singapore, Cayman Islands and China. Frequent co-authors include Xuansong Xie, Shijian Lu, Fangneng Zhan, Yingchen Yu, Jianxiong Pan, Chunyan Miao, Kaiwen Cui, Rongliang Wu, Changgong Zhang and Kui Jia. Their work appears in journals such as Proceedings of the AAAI Conference on Artificial Intelligence and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.