Qian Yu
- Clinical Psychology top 5%
- General Health Professions top 5%
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 9
- SARS-CoV-2 and COVID-19 Research 5
- Health Informatics top 10%
- Hepatology top 10%
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- Radiomics and Machine Learning in Medical Imaging 7
- COVID-19 diagnosis using AI 6
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- Pain Management and Opioid Use 5
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- Biosensors and Analytical Detection 5
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- Palliative Care and End-of-Life Issues 5
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- Respiratory Support and Mechanisms 4
- Journals
- Chemical Society Reviews (1 paper)Nature Communications (1 paper)Journal of Clinical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Qian Yu
62 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Clinical Psychology 402
- General Health Professions 365
- Infectious Diseases 252
- Health Informatics 18
- Hepatology 79
Countries citing papers authored by Qian Yu
This map shows the geographic impact of Qian Yu'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 Qian Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qian Yu more than expected).
Fields of papers citing papers by Qian Yu
This network shows the impact of papers produced by Qian Yu. 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 Qian Yu. The network helps show where Qian Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qian Yu, 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 | 2024 | 1 | |
| 3 | 2023 | 27 | |
| 4 | 2022 | 16 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 24 | |
| 8 | 2021 | 12 | |
| 9 | Epidemiological and clinical findings of discharge patients infected with the 2019 novel coronavirus (SARS-COV-2) in Changchun, Northeast China: A retrospective cohort study | 2021 | 2 |
| 10 | 2021 | 0 | |
| 11 | 2020 | 9 | |
| 12 | 2020 | 13 | |
| 13 | 2020 | 35 | |
| 14 | A Comparison of Burnout Frequency Among Oncology Physicians and Nurses Working on the Frontline and Usual Wards During the COVID-19 Epidemic in Wuhan, Chinabreakdown → | 2020 | 439 |
| 15 | 2020 | 11 | |
| 16 | 2020 | 80 | |
| 17 | 2019 | 1 | |
| 18 | 2019 | 6 | |
| 19 | 2018 | 1 | |
| 20 | 2016 | 21 |
About Qian Yu
Qian Yu is a scholar working on Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine and Infectious Diseases, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Pain Management and Opioid Use (5 papers), Biosensors and Analytical Detection (5 papers), Palliative Care and End-of-Life Issues (5 papers) and Respiratory Support and Mechanisms (4 papers). The work is most often cited by research in Clinical Psychology (402 citations), General Health Professions (365 citations) and Infectious Diseases (252 citations). Qian Yu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Éduardo Bruera, Shaozhong Wei, Sheng Hu, Yuan Wu, Xi Lin, Jun Wang, Xiaoxin Yang, Aimée E. Anderson, Ying Wang and Kun Zhu. Their work appears in journals such as Chemical Society Reviews, Nature Communications and Journal of Clinical Oncology.
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.