Chaojun Shi
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Advanced Neural Network Applications
Papers in
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- Advanced Image Fusion Techniques 6
- Remote-Sensing Image Classification 5
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- Advanced Neural Network Applications 6
- Co-authors
- Yatong Zhou (5 shared papers)Ke Zhang (14 shared papers)Hanming Chen (1 shared paper)Zhenbing Zhao (5 shared papers)Yangkang Chen (1 shared paper)Yatong Zhou (1 shared paper)Jianyong Xie (1 shared paper)Xiwang Guo (5 shared papers)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (3 papers)IEEE Geoscience and Remote Sensing Letters (2 papers)Atmospheric measurement techniques (2 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)IET Generation Transmission & Distribution (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Chaojun Shi
22 papers receiving 219 citations
Peers
Comparison fields: 5 of 44
- Media Technology 74
- Computer Vision and Pattern Recognition 68
- Geophysics 34
- Industrial and Manufacturing Engineering 24
- Artificial Intelligence 65
Countries citing papers authored by Chaojun Shi
This map shows the geographic impact of Chaojun 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 Chaojun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaojun Shi more than expected).
Fields of papers citing papers by Chaojun Shi
This network shows the impact of papers produced by Chaojun 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 Chaojun Shi. The network helps show where Chaojun Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaojun 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 40 | |
| 2 | 2017 | 37 | |
| 3 | 2023 | 26 | |
| 4 | 2023 | 22 | |
| 5 | 2019 | 20 | |
| 6 | 2021 | 18 | |
| 7 | 2024 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2019 | 1 |
About Chaojun Shi
Chaojun Shi is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Artificial Intelligence, Industrial and Manufacturing Engineering and Ecology, having authored 26 papers that have together received 230 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (7 papers), Industrial Vision Systems and Defect Detection (6 papers), Advanced Image Fusion Techniques (6 papers), Advanced Neural Network Applications (6 papers), Remote-Sensing Image Classification (5 papers), Remote Sensing in Agriculture (5 papers), Power Line Inspection Robots (5 papers) and Photovoltaic System Optimization Techniques (3 papers). The work is most often cited by research in Media Technology (74 citations), Computer Vision and Pattern Recognition (68 citations), Geophysics (34 citations), Industrial and Manufacturing Engineering (24 citations) and Artificial Intelligence (65 citations). Chaojun Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yatong Zhou, Ke Zhang, Hanming Chen, Zhenbing Zhao, Yangkang Chen, Yatong Zhou, Jianyong Xie, Xiwang Guo, Jiacun Wang and Y. J. Xiao. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Atmospheric measurement techniques, IEEE Transactions on Instrumentation and Measurement and IET Generation Transmission & Distribution.
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.