Kede Ma
- Media Technology top 0.05%
- Advanced Image Fusion Techniques 26
-
- Image and Video Quality Assessment 42
- Image Enhancement Techniques 27
- Visual Attention and Saliency Detection 17
- Advanced Image Processing Techniques 17
- Image and Signal Denoising Methods 6
- Advanced Vision and Imaging 5
- Signal Processing top 5%
- Acoustics and Ultrasonics top 10%
-
- Adversarial Robustness in Machine Learning 4
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
In The Last Decade
Kede Ma
62 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Media Technology 3.2k
- Computer Vision and Pattern Recognition 6.1k
- Computer Graphics and Computer-Aided Design 82
- Signal Processing 225
- Acoustics and Ultrasonics 15
Countries citing papers authored by Kede Ma
This map shows the geographic impact of Kede 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 Kede Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kede Ma more than expected).
Fields of papers citing papers by Kede Ma
This network shows the impact of papers produced by Kede 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 Kede Ma. The network helps show where Kede Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kede 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 22 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 3 | |
| 12 | 2020 | 37 | |
| 13 | 2018 | 53 | |
| 14 | 2018 | 7 | |
| 15 | End-to-End Blind Image Quality Assessment Using Deep Neural Networksbreakdown → | 2017 | 418 |
| 16 | 2017 | 21 | |
| 17 | Perceptual Quality Assessment for Multi-Exposure Image Fusionbreakdown → | 2015 | 776 |
| 18 | 2015 | 109 | |
| 19 | 2015 | 100 | |
| 20 | No-Reference Quality Assessment of Contrast-Distorted Images Based on Natural Scene Statisticsbreakdown → | 2014 | 291 |
About Kede Ma
Kede Ma is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 67 papers that have together received 6.7k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (42 papers), Image Enhancement Techniques (27 papers), Advanced Image Fusion Techniques (26 papers), Visual Attention and Saliency Detection (17 papers), Advanced Image Processing Techniques (17 papers), Image and Signal Denoising Methods (6 papers), Advanced Vision and Imaging (5 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Media Technology (3.2k citations), Computer Vision and Pattern Recognition (6.1k citations), Computer Graphics and Computer-Aided Design (82 citations), Signal Processing (225 citations) and Acoustics and Ultrasonics (15 citations). Kede Ma has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Zhou Wang, Kai Zeng, Zhengfang Duanmu, Shiqi Wang, Nenghai Yu, Weiming Zhang, Weixia Zhang, Weisi Lin, Lei Zhang and Hongwei Yong. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Visualization and Computer Graphics and International Journal of Computer Vision.
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.