Daming Shi
Impact in
- Media Technology top 2%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
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- Image Enhancement Techniques
- Advanced Image Processing Techniques
Papers in
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- Advanced Image Processing Techniques 11
- Image and Signal Denoising Methods 10
- Image Enhancement Techniques 8
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- Neural Networks and Applications 14
- Domain Adaptation and Few-Shot Learning 8
- Machine Learning and ELM 7
- Co-authors
- John M. Vohs (5 shared papers)Bin Deng (2 shared papers)Liying Zheng (4 shared papers)Sen Jia (1 shared paper)Wing W. Y. Ng (5 shared papers)Xiaochun Cheng (6 shared papers)Chuanjun Zheng (2 shared papers)Eric C.C. Tsang (1 shared paper)
- Journals
- IEEE Access (3 papers)Pattern Recognition Letters (2 papers)Computer Vision and Image Understanding (2 papers)Remote Sensing (2 papers)International Journal of Neural Systems (2 papers)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Daming Shi
81 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Media Technology 232
- Computer Vision and Pattern Recognition 490
- Catalysis 82
- Signal Processing 114
- Artificial Intelligence 291
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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 111 | |
| 2 | 2002 | 103 | |
| 3 | 2015 | 94 | |
| 4 | 2021 | 81 | |
| 5 | 2012 | 69 | |
| 6 | 2010 | 59 | |
| 7 | 2016 | 57 | |
| 8 | 2022 | 55 | |
| 9 | 2020 | 40 | |
| 10 | 2010 | 40 | |
| 11 | 2020 | 38 | |
| 12 | 2009 | 37 | |
| 13 | 2003 | 34 | |
| 14 | 2009 | 33 | |
| 15 | 2022 | 32 | |
| 16 | 2012 | 30 | |
| 17 | 2022 | 27 | |
| 18 | 1998 | 26 | |
| 19 | 2021 | 25 | |
| 20 | 2004 | 25 |
About Daming Shi
Daming Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Biomedical Engineering, having authored 88 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (14 papers), Advanced Image Processing Techniques (11 papers), Image and Signal Denoising Methods (10 papers), Domain Adaptation and Few-Shot Learning (8 papers), Image Enhancement Techniques (8 papers), Catalysis for Biomass Conversion (7 papers), Machine Learning and ELM (7 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Media Technology (232 citations), Computer Vision and Pattern Recognition (490 citations), Catalysis (82 citations), Signal Processing (114 citations) and Artificial Intelligence (291 citations). Daming Shi has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include John M. Vohs, Bin Deng, Liying Zheng, Sen Jia, Wing W. Y. Ng, Xiaochun Cheng, Chuanjun Zheng, Eric C.C. Tsang, Maysam Orouskhani and Jingtao Zhang. Their work appears in journals such as IEEE Access, Pattern Recognition Letters, Computer Vision and Image Understanding, Remote Sensing and International Journal of Neural Systems.
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.