Dongcui Wang
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Neurological disorders and treatments 3
-
- Advanced MRI Techniques and Applications 5
- Advanced Neuroimaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Weihua LiaoMei JiHarrison X. BaiZeng XiongKasey HalseyJi Whae ChoiTerrance T. HealeyT K Egglin
- Journals
- Journal of Affective Disorders (3 papers)Addiction Biology (2 papers)Brain Imaging and Behavior (1 paper)Radiotherapy and Oncology (1 paper)Frontiers in Psychiatry (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dongcui Wang
24 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Health Informatics 75
- Radiology, Nuclear Medicine and Imaging 693
- Critical Care and Intensive Care Medicine 134
- Infectious Diseases 413
- Neurology 146
Countries citing papers authored by Dongcui Wang
This map shows the geographic impact of Dongcui Wang'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 Dongcui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongcui Wang more than expected).
Fields of papers citing papers by Dongcui Wang
This network shows the impact of papers produced by Dongcui Wang. 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 Dongcui Wang. The network helps show where Dongcui Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dongcui Wang, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 54 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 29 | |
| 13 | Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT Hit paper breakdown → | 2020 | 825 |
| 14 | 2020 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 29 | |
| 18 | 2019 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2015 | 9 |
About Dongcui Wang
Dongcui Wang is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Periodontics, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Advanced MRI Techniques and Applications (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cerebrospinal fluid and hydrocephalus (4 papers), Fetal and Pediatric Neurological Disorders (4 papers), Neurological disorders and treatments (3 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (75 citations), Radiology, Nuclear Medicine and Imaging (693 citations), Critical Care and Intensive Care Medicine (134 citations), Infectious Diseases (413 citations) and Neurology (146 citations). Dongcui Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Weihua Liao, Mei Ji, Harrison X. Bai, Zeng Xiong, Kasey Halsey, Ji Whae Choi, Terrance T. Healey, T K Egglin, B. R. Hsieh and Sha Li. Their work appears in journals such as Journal of Affective Disorders, Addiction Biology, Brain Imaging and Behavior, Radiotherapy and Oncology and Frontiers in Psychiatry.
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.