Mingfeng Jiang
Impact in
- Acoustics and Ultrasonics top 5%
-
- Image and Signal Denoising Methods
Papers in
- Co-authors
- Ling Xia (35 shared papers)Guofa Shou (19 shared papers)Yongming Li (10 shared papers)Pin Wang (11 shared papers)Feng Liu (20 shared papers)Stuart Crozier (12 shared papers)Jucheng Zhang (15 shared papers)Yaming Wang (20 shared papers)
In The Last Decade
Mingfeng Jiang
116 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Acoustics and Ultrasonics 42
- Computer Vision and Pattern Recognition 363
- Radiology, Nuclear Medicine and Imaging 309
- Computational Mathematics 6
- Neurology 73
Countries citing papers authored by Mingfeng Jiang
This map shows the geographic impact of Mingfeng Jiang'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 Mingfeng Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingfeng Jiang more than expected).
Fields of papers citing papers by Mingfeng Jiang
This network shows the impact of papers produced by Mingfeng Jiang. 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 Mingfeng Jiang. The network helps show where Mingfeng Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingfeng Jiang, 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 127 | |
| 2 | 2021 | 79 | |
| 3 | 2018 | 61 | |
| 4 | 2020 | 54 | |
| 5 | 2008 | 49 | |
| 6 | 2021 | 43 | |
| 7 | 2022 | 39 | |
| 8 | 2021 | 37 | |
| 9 | 2018 | 36 | |
| 10 | 2007 | 31 | |
| 11 | 2013 | 28 | |
| 12 | 2022 | 28 | |
| 13 | 2025 | 27 | |
| 14 | 2010 | 27 | |
| 15 | 2018 | 23 | |
| 16 | 2021 | 22 | |
| 17 | 2021 | 20 | |
| 18 | 2019 | 19 | |
| 19 | 2024 | 18 | |
| 20 | 2023 | 18 |
About Mingfeng Jiang
Mingfeng Jiang is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Artificial Intelligence, having authored 135 papers that have together received 1.3k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (17 papers), Advanced MRI Techniques and Applications (16 papers), Cardiac electrophysiology and arrhythmias (11 papers), Sparse and Compressive Sensing Techniques (11 papers), EEG and Brain-Computer Interfaces (11 papers), Numerical methods in inverse problems (8 papers), Electrical and Bioimpedance Tomography (8 papers) and Soil Moisture and Remote Sensing (8 papers). The work is most often cited by research in Acoustics and Ultrasonics (42 citations), Computer Vision and Pattern Recognition (363 citations), Radiology, Nuclear Medicine and Imaging (309 citations), Computational Mathematics (6 citations) and Neurology (73 citations). Mingfeng Jiang has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Ling Xia, Guofa Shou, Yongming Li, Pin Wang, Feng Liu, Stuart Crozier, Jucheng Zhang, Yaming Wang, Guang Yang and Jiaxin Wang. Their work appears in journals such as Biomedical Signal Processing and Control, Physics in Medicine and Biology, Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Computer Methods and Programs in Biomedicine.
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.