Yuhao Dong
Impact in
- Otorhinolaryngology top 2%
- Head and Neck Cancer Studies
- Health Informatics top 2%
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 13
- MRI in cancer diagnosis 6
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- Aortic Disease and Treatment Approaches 3
- Co-authors
- Bin Zhang (34 shared papers)Shuixing Zhang (33 shared papers)Xiaokai Mo (21 shared papers)Wenhui Huang (12 shared papers)Lu Zhang (11 shared papers)Zhouyang Lian (19 shared papers)Jie Tian (7 shared papers)Fusheng Ouyang (13 shared papers)
- Journals
- European Radiology (5 papers)Oncotarget (3 papers)BMC Cancer (3 papers)Medicine (2 papers)Abdominal Radiology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yuhao Dong
51 papers receiving 2.2k citations
Yuhao Dong's Hit Papers
Peers
Comparison fields: 5 of 116
- Otorhinolaryngology 212
- Health Informatics 59
- Radiology, Nuclear Medicine and Imaging 821
- Infectious Diseases 227
- Obstetrics and Gynecology 85
Countries citing papers authored by Yuhao Dong
This map shows the geographic impact of Yuhao Dong'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 Yuhao Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhao Dong more than expected).
Fields of papers citing papers by Yuhao Dong
This network shows the impact of papers produced by Yuhao Dong. 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 Yuhao Dong. The network helps show where Yuhao Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuhao Dong, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma Hit paper breakdown → | 2017 | 398 |
| 2 | 2020 | 296 | |
| 3 | 2017 | 207 | |
| 4 | 2017 | 205 | |
| 5 | 2020 | 122 | |
| 6 | 2019 | 108 | |
| 7 | 2019 | 83 | |
| 8 | 2021 | 76 | |
| 9 | 2017 | 57 | |
| 10 | 2020 | 53 | |
| 11 | 2018 | 51 | |
| 12 | 2019 | 45 | |
| 13 | 2019 | 40 | |
| 14 | 2017 | 37 | |
| 15 | 2017 | 30 | |
| 16 | 2016 | 29 | |
| 17 | 2021 | 28 | |
| 18 | 2016 | 26 | |
| 19 | 2020 | 26 | |
| 20 | 2019 | 20 |
About Yuhao Dong
Yuhao Dong is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Oncology and Artificial Intelligence, having authored 54 papers that have together received 2.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), MRI in cancer diagnosis (6 papers), Head and Neck Cancer Studies (4 papers), Advanced X-ray and CT Imaging (4 papers), Geochemistry and Geologic Mapping (3 papers), Aortic Disease and Treatment Approaches (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Ocular Oncology and Treatments (3 papers). The work is most often cited by research in Otorhinolaryngology (212 citations), Health Informatics (59 citations), Radiology, Nuclear Medicine and Imaging (821 citations), Infectious Diseases (227 citations) and Obstetrics and Gynecology (85 citations). Yuhao Dong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Zhang, Shuixing Zhang, Xiaokai Mo, Wenhui Huang, Lu Zhang, Zhouyang Lian, Jie Tian, Fusheng Ouyang, Changhong Liang and Shufang Pei. Their work appears in journals such as European Radiology, Oncotarget, BMC Cancer, Medicine and Abdominal Radiology.
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.