Cheng‐Bin Jin
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
- Medical Imaging Techniques and Applications
Papers in
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- Video Surveillance and Tracking Methods 6
- Advanced Image Processing Techniques 4
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- Advanced optical system design 4
- Co-authors
- Hakil Kim (14 shared papers)Wenzhi Chen (3 shared papers)Hui Zhu (4 shared papers)Jin Bai (3 shared papers)Kun Zhou (4 shared papers)Kequan Li (3 shared papers)Hai-Bing Su (3 shared papers)Lian Zhang (2 shared papers)
- Journals
- Sensors (3 papers)Applied Sciences (2 papers)Cybersecurity (2 papers)The Computer Journal (2 papers)Optics Communications (2 papers)
- Partner nations
- ChinaSouth KoreaVietnam
In The Last Decade
Cheng‐Bin Jin
30 papers receiving 777 citations
Peers
Comparison fields: 5 of 95
- Hepatology 102
- Radiology, Nuclear Medicine and Imaging 232
- Computer Vision and Pattern Recognition 185
- Biomedical Engineering 304
- Health Informatics 9
Countries citing papers authored by Cheng‐Bin Jin
This map shows the geographic impact of Cheng‐Bin Jin'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‐Bin Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng‐Bin Jin more than expected).
Fields of papers citing papers by Cheng‐Bin Jin
This network shows the impact of papers produced by Cheng‐Bin Jin. 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‐Bin Jin. The network helps show where Cheng‐Bin Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng‐Bin Jin, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 157 | |
| 2 | 2008 | 150 | |
| 3 | 2010 | 97 | |
| 4 | 2018 | 89 | |
| 5 | 2008 | 65 | |
| 6 | 2020 | 38 | |
| 7 | 2019 | 29 | |
| 8 | 2015 | 22 | |
| 9 | 2018 | 19 | |
| 10 | 2020 | 18 | |
| 11 | 2019 | 18 | |
| 12 | 2018 | 16 | |
| 13 | 2018 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2017 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2023 | 6 |
About Cheng‐Bin Jin
Cheng‐Bin Jin is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 32 papers that have together received 802 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (6 papers), Video Surveillance and Tracking Methods (6 papers), Cryptographic Implementations and Security (6 papers), Advanced optical system design (4 papers), Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Advanced Image Processing Techniques (4 papers), Optical Wireless Communication Technologies (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Hepatology (102 citations), Radiology, Nuclear Medicine and Imaging (232 citations), Computer Vision and Pattern Recognition (185 citations), Biomedical Engineering (304 citations) and Health Informatics (9 citations). Cheng‐Bin Jin has collaborated with scholars based in China, South Korea and Vietnam. Frequent co-authors include Hakil Kim, Wenzhi Chen, Hui Zhu, Jin Bai, Kun Zhou, Kequan Li, Hai-Bing Su, Lian Zhang, Zhibiao Wang and Xuenan Cui. Their work appears in journals such as Sensors, Applied Sciences, Cybersecurity, The Computer Journal and Optics Communications.
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.