Chencui Huang
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 27
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- Sarcoma Diagnosis and Treatment 5
- Renal cell carcinoma treatment 4
- Co-authors
- Jingxu Xu (33 shared papers)Mou Li (5 shared papers)Feng Hou (9 shared papers)Yan Mo (6 shared papers)Hexiang Wang (6 shared papers)Bin Song (4 shared papers)Hong Ji (4 shared papers)Yongchang Zhang (4 shared papers)
- Journals
- Frontiers in Oncology (14 papers)European Journal of Radiology (6 papers)Academic Radiology (6 papers)Abdominal Radiology (4 papers)Frontiers in Neurology (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chencui Huang
104 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Health Informatics 55
- Radiology, Nuclear Medicine and Imaging 375
- Aquatic Science 72
- Physiology 35
- Pulmonary and Respiratory Medicine 209
Countries citing papers authored by Chencui Huang
This map shows the geographic impact of Chencui Huang'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 Chencui Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chencui Huang more than expected).
Fields of papers citing papers by Chencui Huang
This network shows the impact of papers produced by Chencui Huang. 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 Chencui Huang. The network helps show where Chencui Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chencui Huang, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 65 | |
| 2 | 2021 | 42 | |
| 3 | 2021 | 41 | |
| 4 | 2021 | 40 | |
| 5 | 2016 | 40 | |
| 6 | 2021 | 37 | |
| 7 | 2021 | 37 | |
| 8 | 2021 | 30 | |
| 9 | 2019 | 30 | |
| 10 | 2022 | 26 | |
| 11 | 2021 | 25 | |
| 12 | 2023 | 25 | |
| 13 | 2021 | 25 | |
| 14 | 2022 | 23 | |
| 15 | 2021 | 22 | |
| 16 | 2020 | 22 | |
| 17 | 2022 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2014 | 19 | |
| 20 | 2021 | 18 |
About Chencui Huang
Chencui Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Neurology and Epidemiology, having authored 113 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (27 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Sarcoma Diagnosis and Treatment (5 papers), Advanced X-ray and CT Imaging (5 papers), Intracranial Aneurysms: Treatment and Complications (5 papers), Renal cell carcinoma treatment (4 papers), Bladder and Urothelial Cancer Treatments (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Health Informatics (55 citations), Radiology, Nuclear Medicine and Imaging (375 citations), Aquatic Science (72 citations), Physiology (35 citations) and Pulmonary and Respiratory Medicine (209 citations). Chencui Huang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jingxu Xu, Mou Li, Feng Hou, Yan Mo, Hexiang Wang, Bin Song, Hong Ji, Yongchang Zhang, Dapeng Hao and Yali Zhao. Their work appears in journals such as Frontiers in Oncology, European Journal of Radiology, Academic Radiology, Abdominal Radiology and Frontiers in Neurology.
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.