Meng Ding
Impact in
- Computational Mathematics top 1%
- Tensor decomposition and applications
- Media Technology top 5%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
Papers in
-
- Image and Signal Denoising Methods 15
- Advanced Image Processing Techniques 4
- Image Enhancement Techniques 3
-
- Sparse and Compressive Sensing Techniques 17
- Co-authors
- Xi-Le Zhao (19 shared papers)Ting‐Zhu Huang (11 shared papers)Jing‐Hua Yang (10 shared papers)Tian-Hui Ma (4 shared papers)Ruofeng Tong (1 shared paper)Yong Chen (2 shared papers)Xiao Fu (4 shared papers)Teng-Yu Ji (2 shared papers)
- Journals
- IEEE Geoscience and Remote Sensing Letters (2 papers)Applied Mathematics and Computation (2 papers)IEEE Journal of Selected Topics in Signal Processing (1 paper)The Visual Computer (1 paper)SIAM Journal on Imaging Sciences (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Meng Ding
25 papers receiving 462 citations
Peers
Comparison fields: 5 of 60
- Computational Mathematics 136
- Media Technology 133
- Computer Vision and Pattern Recognition 309
- Computational Mechanics 211
- Signal Processing 35
Countries citing papers authored by Meng Ding
This map shows the geographic impact of Meng Ding'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 Meng Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Ding more than expected).
Fields of papers citing papers by Meng Ding
This network shows the impact of papers produced by Meng Ding. 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 Meng Ding. The network helps show where Meng Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng Ding, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 106 | |
| 2 | 2019 | 62 | |
| 3 | 2020 | 54 | |
| 4 | 2018 | 36 | |
| 5 | 2010 | 36 | |
| 6 | 2022 | 30 | |
| 7 | 2022 | 21 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 18 | |
| 10 | 2022 | 18 | |
| 11 | 2023 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2008 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2022 | 3 |
About Meng Ding
Meng Ding is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computational Mathematics, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 472 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (17 papers), Image and Signal Denoising Methods (15 papers), Tensor decomposition and applications (10 papers), Advanced Image Fusion Techniques (7 papers), Remote-Sensing Image Classification (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Advanced Image Processing Techniques (4 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Computational Mathematics (136 citations), Media Technology (133 citations), Computer Vision and Pattern Recognition (309 citations), Computational Mechanics (211 citations) and Signal Processing (35 citations). Meng Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xi-Le Zhao, Ting‐Zhu Huang, Jing‐Hua Yang, Tian-Hui Ma, Ruofeng Tong, Yong Chen, Xiao Fu, Teng-Yu Ji, Jun Wang and Si Wang. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, Applied Mathematics and Computation, IEEE Journal of Selected Topics in Signal Processing, The Visual Computer and SIAM Journal on Imaging Sciences.
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.