Hao Yang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Health Informatics top 10%
Papers in
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- Lung Cancer Diagnosis and Treatment 9
- Gastric Cancer Management and Outcomes 6
- Lung Cancer Treatments and Mutations 4
- Renal cell carcinoma treatment 3
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- Radiomics and Machine Learning in Medical Imaging 14
- Co-authors
- Binsheng Zhao (20 shared papers)Lawrence H. Schwartz (19 shared papers)Lin Lü (11 shared papers)Laurent Dercle (9 shared papers)E Linning (3 shared papers)Lyndon Luk (4 shared papers)Li Li (1 shared paper)Yvonne M. Saenger (1 shared paper)
- Journals
- European Radiology (4 papers)Tomography (3 papers)Journal of Thoracic Oncology (2 papers)International Journal of Hyperthermia (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Hao Yang
65 papers receiving 820 citations
Peers
Comparison fields: 5 of 79
- Radiology, Nuclear Medicine and Imaging 371
- Health Informatics 22
- Hepatology 84
- Pulmonary and Respiratory Medicine 233
- Oncology 121
Countries citing papers authored by Hao Yang
This map shows the geographic impact of Hao Yang'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 Hao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Yang more than expected).
Fields of papers citing papers by Hao Yang
This network shows the impact of papers produced by Hao Yang. 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 Hao Yang. The network helps show where Hao Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Yang, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 142 | |
| 2 | 2018 | 70 | |
| 3 | 2022 | 62 | |
| 4 | 2016 | 59 | |
| 5 | 2013 | 49 | |
| 6 | 2019 | 31 | |
| 7 | 2020 | 29 | |
| 8 | 2013 | 27 | |
| 9 | 2022 | 27 | |
| 10 | 2024 | 20 | |
| 11 | 2017 | 18 | |
| 12 | 2023 | 18 | |
| 13 | 2021 | 18 | |
| 14 | 2020 | 16 | |
| 15 | 2015 | 16 | |
| 16 | 2023 | 15 | |
| 17 | 2018 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2021 | 14 | |
| 20 | 2020 | 14 |
About Hao Yang
Hao Yang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Surgery and Molecular Biology, having authored 73 papers that have together received 833 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Lung Cancer Diagnosis and Treatment (9 papers), Gastric Cancer Management and Outcomes (6 papers), Advanced X-ray and CT Imaging (5 papers), Neuroendocrine Tumor Research Advances (4 papers), Lung Cancer Treatments and Mutations (4 papers), Renal cell carcinoma treatment (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (371 citations), Health Informatics (22 citations), Hepatology (84 citations), Pulmonary and Respiratory Medicine (233 citations) and Oncology (121 citations). Hao Yang has collaborated with scholars based in China, United States and France. Frequent co-authors include Binsheng Zhao, Lawrence H. Schwartz, Lin Lü, Laurent Dercle, E Linning, Lyndon Luk, Li Li, Yvonne M. Saenger, Jean‐Marie Péron and Samy Ammari. Their work appears in journals such as European Radiology, Tomography, Journal of Thoracic Oncology, International Journal of Hyperthermia and PLoS ONE.
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.