Cheng Da
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
Papers in ⓘ
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- Particle Accelerators and Free-Electron Lasers 9
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- Superconducting Materials and Applications 12
- Co-authors
- Chunhong Pan (5 shared papers)Shiming Xiang (4 shared papers)Caihong Li (6 shared papers)Gaoming Jiang (6 shared papers)Gaofeng Meng (3 shared papers)Liyue Guo (5 shared papers)Guanglei Wu (5 shared papers)Shibiao Xu (2 shared papers)
- Journals
- IEEE Transactions on Applied Superconductivity (6 papers)Cryogenics (2 papers)International Journal of Modern Physics A (2 papers)PeerJ (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesCayman Islands
In The Last Decade
Cheng Da
38 papers receiving 354 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 96
- Soil Science 27
- Plant Science 92
- General Agricultural and Biological Sciences 20
- Aerospace Engineering 57
Countries citing papers authored by Cheng Da
This map shows the geographic impact of Cheng Da'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 Cheng Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Da more than expected).
Fields of papers citing papers by Cheng Da
This network shows the impact of papers produced by Cheng Da. 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 Cheng Da. The network helps show where Cheng Da may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng Da, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 34 | |
| 2 | 2017 | 34 | |
| 3 | 2016 | 27 | |
| 4 | 2014 | 23 | |
| 5 | 2015 | 22 | |
| 6 | 2019 | 21 | |
| 7 | 2015 | 15 | |
| 8 | 2018 | 13 | |
| 9 | 2017 | 12 | |
| 10 | 2019 | 10 | |
| 11 | 2014 | 10 | |
| 12 | 2015 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2018 | 9 | |
| 15 | 2023 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2016 | 8 | |
| 19 | 2016 | 8 | |
| 20 | 2023 | 8 |
About Cheng Da
Cheng Da is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Plant Science, having authored 40 papers that have together received 369 indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (12 papers), Superconducting Materials and Applications (12 papers), Particle Accelerators and Free-Electron Lasers (9 papers), Advanced Image and Video Retrieval Techniques (5 papers), Multimodal Machine Learning Applications (4 papers), Microgrid Control and Optimization (2 papers), Agriculture Sustainability and Environmental Impact (2 papers) and Plant Stress Responses and Tolerance (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (96 citations), Soil Science (27 citations), Plant Science (92 citations), General Agricultural and Biological Sciences (20 citations) and Aerospace Engineering (57 citations). Cheng Da has collaborated with scholars based in China, United States and Cayman Islands. Frequent co-authors include Chunhong Pan, Shiming Xiang, Caihong Li, Gaoming Jiang, Gaofeng Meng, Liyue Guo, Guanglei Wu, Shibiao Xu, Xiaofan Yu and Kun Ding. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Cryogenics, International Journal of Modern Physics A, PeerJ and Scientific Reports.
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.