Hui Cui
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
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- Genetics, Bioinformatics, and Biomedical Research 1
- Machine Learning in Bioinformatics 1
- Protein Degradation and Inhibitors 1
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- Occupational Health and Safety Research 2
- Co-authors
- Changming Sun (1 shared paper)Ran Su (2 shared papers)Qiangguo Jin (2 shared papers)Zhaopeng Meng (1 shared paper)Siming Ma (1 shared paper)Bin Tao (1 shared paper)Xinyu Wang (1 shared paper)Zhiyuan Ning (1 shared paper)
- Journals
- International Journal of Pharmaceutics (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Journal of Hazardous Toxic and Radioactive Waste (2 papers)
- Partner nations
- ChinaAustraliaNew Zealand
In The Last Decade
Hui Cui
6 papers receiving 327 citations
Hui Cui's Hit Papers
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 199
- Neurology 73
- Radiology, Nuclear Medicine and Imaging 164
- Artificial Intelligence 119
- Health Informatics 5
Countries citing papers authored by Hui Cui
This map shows the geographic impact of Hui Cui'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 Hui Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Cui more than expected).
Fields of papers citing papers by Hui Cui
This network shows the impact of papers produced by Hui Cui. 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 Hui Cui. The network helps show where Hui Cui may publish in the future.
Co-authors
The 18 scholars most cited alongside Hui Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans Hit paper breakdown → | 2020 | 318 |
| 2 | 2018 | 8 | |
| 3 | 2018 | 6 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2009 | 1 | |
| 7 | 2024 | 0 |
About Hui Cui
Hui Cui is a scholar working on Molecular Biology, Radiological and Ultrasound Technology, Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty and Organizational Behavior and Human Resource Management, having authored 7 papers that have together received 335 indexed citations. Recurring topics across this work include Safety and Risk Management (2 papers), Risk and Safety Analysis (2 papers), Occupational Health and Safety Research (2 papers), Advanced Neural Network Applications (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Machine Learning in Bioinformatics (1 paper), Protein Degradation and Inhibitors (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (199 citations), Neurology (73 citations), Radiology, Nuclear Medicine and Imaging (164 citations), Artificial Intelligence (119 citations) and Health Informatics (5 citations). Hui Cui has collaborated with scholars based in China, Australia and New Zealand. Frequent co-authors include Changming Sun, Ran Su, Qiangguo Jin, Zhaopeng Meng, Siming Ma, Bin Tao, Xinyu Wang, Zhiyuan Ning, Zhiyuan Zhu and Run Shi. Their work appears in journals such as International Journal of Pharmaceutics, Frontiers in Bioengineering and Biotechnology and Journal of Hazardous Toxic and Radioactive Waste.
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.