Daming Shi
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
-
- Image Enhancement Techniques
- Advanced Image Processing Techniques
Papers in
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- Advanced Image Processing Techniques 10
- Image and Signal Denoising Methods 8
- Image Enhancement Techniques 7
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- Domain Adaptation and Few-Shot Learning 8
- Neural Networks and Applications 8
- Machine Learning and ELM 6
- Co-authors
- John M. Vohs (5 shared papers)Bin Deng (2 shared papers)Sen Jia (1 shared paper)Liying Zheng (4 shared papers)Xiaochun Cheng (6 shared papers)Chuanjun Zheng (2 shared papers)Maysam Orouskhani (4 shared papers)Eric C.C. Tsang (1 shared paper)
- Journals
- IEEE Access (3 papers)Applied Intelligence (2 papers)Neurocomputing (2 papers)International Journal of Neural Systems (2 papers)Signal Processing (2 papers)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Daming Shi
69 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Media Technology 223
- Computer Vision and Pattern Recognition 450
- Catalysis 82
- Artificial Intelligence 250
- Signal Processing 82
Countries citing papers authored by Daming Shi
This map shows the geographic impact of Daming Shi'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 Daming Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daming Shi more than expected).
Fields of papers citing papers by Daming Shi
This network shows the impact of papers produced by Daming Shi. 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 Daming Shi. The network helps show where Daming Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Daming Shi, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 111 | |
| 2 | 2015 | 91 | |
| 3 | 2002 | 87 | |
| 4 | 2021 | 75 | |
| 5 | 2012 | 69 | |
| 6 | 2010 | 55 | |
| 7 | 2022 | 55 | |
| 8 | 2016 | 53 | |
| 9 | 2010 | 40 | |
| 10 | 2020 | 38 | |
| 11 | 2020 | 38 | |
| 12 | 2009 | 36 | |
| 13 | 2022 | 32 | |
| 14 | 2003 | 31 | |
| 15 | 2012 | 29 | |
| 16 | 2022 | 26 | |
| 17 | 2021 | 25 | |
| 18 | 1998 | 24 | |
| 19 | 2023 | 23 | |
| 20 | 2002 | 19 |
About Daming Shi
Daming Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Biomedical Engineering and Signal Processing, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (10 papers), Domain Adaptation and Few-Shot Learning (8 papers), Neural Networks and Applications (8 papers), Image and Signal Denoising Methods (8 papers), Catalysis for Biomass Conversion (7 papers), Image Enhancement Techniques (7 papers), Machine Learning and ELM (6 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Media Technology (223 citations), Computer Vision and Pattern Recognition (450 citations), Catalysis (82 citations), Artificial Intelligence (250 citations) and Signal Processing (82 citations). Daming Shi has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include John M. Vohs, Bin Deng, Sen Jia, Liying Zheng, Xiaochun Cheng, Chuanjun Zheng, Maysam Orouskhani, Eric C.C. Tsang, Wing W. Y. Ng and Liying Zheng. Their work appears in journals such as IEEE Access, Applied Intelligence, Neurocomputing, International Journal of Neural Systems and Signal Processing.
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.