Chutian Wang
Impact in
- Radiation top 10%
- Advanced X-ray Imaging Techniques
Papers in
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- CCD and CMOS Imaging Sensors 5
- Advanced Memory and Neural Computing 4
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- Microfluidic and Bio-sensing Technologies 3
- Co-authors
- Edmund Y. Lam (15 shared papers)Jiazhen Dou (1 shared paper)Renjie Zhou (1 shared paper)George Barbastathis (1 shared paper)Zhenbo Ren (1 shared paper)Jianglei Di (1 shared paper)Jianlin Zhao (1 shared paper)Kaiqiang Wang (1 shared paper)
- Journals
- Optics Letters (2 papers)IEEE Transactions on Circuits and Systems for Video Technology (2 papers)Research (1 paper)IEEE Transactions on Image Processing (1 paper)Laser & Photonics Review (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Chutian Wang
17 papers receiving 196 citations
Chutian Wang's Hit Papers
Peers
Comparison fields: 5 of 61
- Acoustics and Ultrasonics 9
- Radiation 41
- Media Technology 38
- Structural Biology 5
- Instrumentation 11
Countries citing papers authored by Chutian Wang
This map shows the geographic impact of Chutian Wang'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 Chutian Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chutian Wang more than expected).
Fields of papers citing papers by Chutian Wang
This network shows the impact of papers produced by Chutian Wang. 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 Chutian Wang. The network helps show where Chutian Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chutian Wang, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On the use of deep learning for phase recovery Hit paper breakdown → | 2024 | 104 |
| 2 | 2023 | 36 | |
| 3 | 2025 | 12 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Chutian Wang
Chutian Wang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 216 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (5 papers), Micro and Nano Robotics (5 papers), Advanced Memory and Neural Computing (4 papers), Digital Holography and Microscopy (3 papers), Random lasers and scattering media (3 papers), Advanced Optical Sensing Technologies (3 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Advanced X-ray Imaging Techniques (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (9 citations), Radiation (41 citations), Media Technology (38 citations), Structural Biology (5 citations) and Instrumentation (11 citations). Chutian Wang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Edmund Y. Lam, Jiazhen Dou, Renjie Zhou, George Barbastathis, Zhenbo Ren, Jianglei Di, Jianlin Zhao, Kaiqiang Wang, Li Song and Lin Feng. Their work appears in journals such as Optics Letters, IEEE Transactions on Circuits and Systems for Video Technology, Research, IEEE Transactions on Image Processing and Laser & Photonics Review.
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.