Meng Chang
Impact in
- Media Technology top 2%
- Advanced Image Fusion Techniques
- Image Processing Techniques and Applications
-
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Generative Adversarial Networks and Image Synthesis
Papers in
-
- Advanced Image Processing Techniques 6
- Image and Signal Denoising Methods 4
- Advanced Vision and Imaging 2
- Image Enhancement Techniques 2
-
- Image Processing Techniques and Applications 3
- Advanced Image Fusion Techniques 2
- Co-authors
- Zhihai Xu (5 shared papers)Huajun Feng (6 shared papers)Qi Li (5 shared papers)Haoying Li (2 shared papers)Yifan Yang (1 shared paper)Yueting Chen (3 shared papers)Shiqi Chen (1 shared paper)Min Tang (2 shared papers)
- Journals
- European Journal of Medicinal Chemistry (1 paper)IEEE Transactions on Computational Imaging (1 paper)Computer Graphics Forum (1 paper)IEEE Transactions on Multimedia (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Meng Chang
10 papers receiving 481 citations
Meng Chang's Hit Papers
Peers
Comparison fields: 5 of 75
- Media Technology 150
- Computer Vision and Pattern Recognition 347
- Computer Graphics and Computer-Aided Design 32
- Computational Mechanics 51
- Radiology, Nuclear Medicine and Imaging 42
Countries citing papers authored by Meng Chang
This map shows the geographic impact of Meng Chang'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 Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Chang more than expected).
Fields of papers citing papers by Meng Chang
This network shows the impact of papers produced by Meng Chang. 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 Chang. The network helps show where Meng Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng Chang, 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 | SRDiff: Single image super-resolution with diffusion probabilistic models Hit paper breakdown → | 2022 | 396 |
| 2 | 2021 | 36 | |
| 3 | 2013 | 31 | |
| 4 | 2021 | 11 | |
| 5 | 2020 | 9 | |
| 6 | 2012 | 4 | |
| 7 | 2018 | 4 | |
| 8 | 2017 | 2 | |
| 9 | 2021 | 1 | |
| 10 | 2018 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2020 | 0 |
About Meng Chang
Meng Chang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Organic Chemistry and Molecular Biology, having authored 12 papers that have together received 495 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (6 papers), Image and Signal Denoising Methods (4 papers), Image Processing Techniques and Applications (3 papers), Advanced Image Fusion Techniques (2 papers), Advanced Vision and Imaging (2 papers), Image Enhancement Techniques (2 papers), Quinazolinone synthesis and applications (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Media Technology (150 citations), Computer Vision and Pattern Recognition (347 citations), Computer Graphics and Computer-Aided Design (32 citations), Computational Mechanics (51 citations) and Radiology, Nuclear Medicine and Imaging (42 citations). Meng Chang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Zhihai Xu, Huajun Feng, Qi Li, Haoying Li, Yifan Yang, Yueting Chen, Shiqi Chen, Min Tang, Ruofeng Tong and Dinesh Manocha. Their work appears in journals such as European Journal of Medicinal Chemistry, IEEE Transactions on Computational Imaging, Computer Graphics Forum, IEEE Transactions on Multimedia and Neurocomputing.
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.