Fei Ma
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Image and Signal Denoising Methods
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
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- AI in cancer detection 15
- Advanced Graph Neural Networks 9
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- Medical Image Segmentation Techniques 9
- Image Retrieval and Classification Techniques 9
- Graph Theory and Algorithms 6
- Co-authors
- Limin Yu (26 shared papers)Eng Gee Lim (9 shared papers)Tiantian Guo (5 shared papers)Miguel López‐Benítez (6 shared papers)Tongpo Zhang (3 shared papers)Mariusz Bajger (9 shared papers)Murk J. Bottema (8 shared papers)Jionglong Su (12 shared papers)
- Journals
- Pattern Recognition (4 papers)IEEE Access (3 papers)Neurocomputing (2 papers)Electronics (2 papers)Drones (2 papers)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Fei Ma
83 papers receiving 849 citations
Fei Ma's Hit Papers
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 214
- Artificial Intelligence 237
- Media Technology 41
- Control and Systems Engineering 103
- Signal Processing 41
Countries citing papers authored by Fei Ma
This map shows the geographic impact of Fei 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 Fei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Ma more than expected).
Fields of papers citing papers by Fei Ma
This network shows the impact of papers produced by Fei 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 Fei Ma. The network helps show where Fei Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Review of Wavelet Analysis and Its Applications: Challenges and Opportunities Hit paper breakdown → | 2022 | 280 |
| 2 | 2007 | 58 | |
| 3 | 2018 | 29 | |
| 4 | 2020 | 27 | |
| 5 | 2018 | 27 | |
| 6 | 2023 | 27 | |
| 7 | 2018 | 24 | |
| 8 | 2023 | 24 | |
| 9 | 2016 | 19 | |
| 10 | 2019 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2010 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2009 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2025 | 10 | |
| 20 | 2021 | 10 |
About Fei Ma
Fei Ma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering and Biomedical Engineering, having authored 92 papers that have together received 883 indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Medical Image Segmentation Techniques (9 papers), Advanced Graph Neural Networks (9 papers), Image Retrieval and Classification Techniques (9 papers), Graph Theory and Algorithms (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Chromosomal and Genetic Variations (5 papers) and Underwater Acoustics Research (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (214 citations), Artificial Intelligence (237 citations), Media Technology (41 citations), Control and Systems Engineering (103 citations) and Signal Processing (41 citations). Fei Ma has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Limin Yu, Eng Gee Lim, Tiantian Guo, Miguel López‐Benítez, Tongpo Zhang, Mariusz Bajger, Murk J. Bottema, Jionglong Su, John Slavotinek and Weifen Zhuang. Their work appears in journals such as Pattern Recognition, IEEE Access, Neurocomputing, Electronics and Drones.
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.