Bin Cai
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Health Informatics top 10%
Papers in
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- Advanced Data Storage Technologies 7
- Caching and Content Delivery 5
- Distributed and Parallel Computing Systems 3
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- Advanced Steganography and Watermarking Techniques 5
- Chaos-based Image/Signal Encryption 4
- Co-authors
- Jun Sang (9 shared papers)Haibo Hu (3 shared papers)Mohammad S. Alam (3 shared papers)Nasrullah Nasrullah (1 shared paper)Muhammad Mateen (1 shared paper)Hong Xiang (5 shared papers)Qian Zhang (3 shared papers)Zhongyuan Wu (2 shared papers)
- Journals
- Sensors (4 papers)IEEE Access (2 papers)Nature Nanotechnology (1 paper)ACS Applied Materials & Interfaces (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Bin Cai
28 papers receiving 709 citations
Bin Cai's Hit Papers
Peers
Comparison fields: 5 of 94
- Radiology, Nuclear Medicine and Imaging 189
- Health Informatics 12
- Computer Vision and Pattern Recognition 184
- Media Technology 64
- Pulmonary and Respiratory Medicine 142
Countries citing papers authored by Bin Cai
This map shows the geographic impact of Bin Cai'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 Bin Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Cai more than expected).
Fields of papers citing papers by Bin Cai
This network shows the impact of papers produced by Bin Cai. 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 Bin Cai. The network helps show where Bin Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Cai, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies Hit paper breakdown → | 2019 | 259 |
| 2 | 2018 | 168 | |
| 3 | Reconfigurable, non-volatile neuromorphic photovoltaics Hit paper breakdown → | 2023 | 146 |
| 4 | 2018 | 53 | |
| 5 | 2019 | 22 | |
| 6 | 2023 | 21 | |
| 7 | 2014 | 18 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 7 | |
| 10 | 2015 | 5 | |
| 11 | 2007 | 5 | |
| 12 | 2010 | 4 | |
| 13 | 2013 | 2 | |
| 14 | 2006 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2007 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Bin Cai
Bin Cai is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Electrical and Electronic Engineering, having authored 31 papers that have together received 743 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (7 papers), Advanced Steganography and Watermarking Techniques (5 papers), Caching and Content Delivery (5 papers), Chaos-based Image/Signal Encryption (4 papers), Cryptography and Data Security (3 papers), Cryptographic Implementations and Security (3 papers), Distributed and Parallel Computing Systems (3 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (189 citations), Health Informatics (12 citations), Computer Vision and Pattern Recognition (184 citations), Media Technology (64 citations) and Pulmonary and Respiratory Medicine (142 citations). Bin Cai has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Jun Sang, Haibo Hu, Mohammad S. Alam, Nasrullah Nasrullah, Muhammad Mateen, Hong Xiang, Qian Zhang, Zhongyuan Wu, Pei Guo and Xiao Fu. Their work appears in journals such as Sensors, IEEE Access, Nature Nanotechnology, ACS Applied Materials & Interfaces and Applied Physics Letters.
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.