Cheng Bian
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Retinal Imaging and Analysis
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- Retinal Imaging and Analysis 11
- COVID-19 diagnosis using AI 7
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- Medical Image Segmentation Techniques 9
- Advanced Neural Network Applications 7
- Co-authors
- Yefeng Zheng (17 shared papers)Kai Ma (16 shared papers)Shuang Yu (13 shared papers)Xin Yang (8 shared papers)Dong Ni (7 shared papers)Pheng‐Ann Heng (6 shared papers)Hanruo Liu (5 shared papers)Lequan Yu (4 shared papers)
- Journals
- Medical Image Analysis (6 papers)IEEE Transactions on Medical Imaging (2 papers)Lecture notes in computer science (16 papers)Neurocomputing (1 paper)Journal of Visual Communication and Image Representation (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Cheng Bian
34 papers receiving 1.7k citations
Cheng Bian's Hit Papers
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 823
- Computer Vision and Pattern Recognition 816
- Health Informatics 37
- Neurology 154
- Artificial Intelligence 640
Countries citing papers authored by Cheng Bian
This map shows the geographic impact of Cheng Bian'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 Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Bian more than expected).
Fields of papers citing papers by Cheng Bian
This network shows the impact of papers produced by Cheng Bian. 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 Bian. The network helps show where Cheng Bian may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng Bian, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging Hit paper breakdown → | 2020 | 356 |
| 2 | 2019 | 248 | |
| 3 | 2021 | 135 | |
| 4 | 2021 | 105 | |
| 5 | 2018 | 93 | |
| 6 | 2018 | 61 | |
| 7 | 2020 | 60 | |
| 8 | 2020 | 57 | |
| 9 | 2020 | 55 | |
| 10 | 2020 | 47 | |
| 11 | 2018 | 46 | |
| 12 | 2021 | 45 | |
| 13 | 2018 | 40 | |
| 14 | 2021 | 38 | |
| 15 | 2023 | 37 | |
| 16 | 2021 | 30 | |
| 17 | 2017 | 30 | |
| 18 | 2018 | 28 | |
| 19 | 2018 | 26 | |
| 20 | 2019 | 24 |
About Cheng Bian
Cheng Bian is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology, Artificial Intelligence and Neurology, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (11 papers), Medical Image Segmentation Techniques (9 papers), COVID-19 diagnosis using AI (7 papers), Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Glaucoma and retinal disorders (6 papers), AI in cancer detection (6 papers) and Retinal Diseases and Treatments (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (823 citations), Computer Vision and Pattern Recognition (816 citations), Health Informatics (37 citations), Neurology (154 citations) and Artificial Intelligence (640 citations). Cheng Bian has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yefeng Zheng, Kai Ma, Shuang Yu, Xin Yang, Dong Ni, Pheng‐Ann Heng, Hanruo Liu, Lequan Yu, Qi Bi and Wei Ji. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Lecture notes in computer science, Neurocomputing and Journal of Visual Communication and Image Representation.
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.