Qian Yu

3.0k citations
68 papers · 1.5k indexed · 2 hit papers · h-index 19
Topics
COVID-19 Clinical Research Studies (9 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)COVID-19 diagnosis using AI (6 papers)

In The Last Decade

Qian Yu

62 papers receiving 1.5k citations

Hit Papers

A Comparison of Burnout Frequency Among Oncology Physicia...202020262022202420202024100200300400

Peers

Qian Yu
Comparison fields: 5 of 146
  • Clinical Psychology 402
  • General Health Professions 365
  • Infectious Diseases 252
  • Molecular Biology 244
  • Oncology 243
Replace Jill Waalen with:
Jill Waalen United States
Lin Liu United States
V.L. Pecoraro Italy
Farida Ahmad United States
Quan Zhuang China
Xiaomeng Zhang China
Dong Ji China
Gerhild Becker Germany
Robert J. Romanelli United States
Abdul Rahman Jazieh Saudi Arabia
Qian Yu relative to Jill Waalen United States Jill Waalen's profile →
Citations per field
00.5×1.5×2.5×
Jill Waalen · 1×
Citations per year

Countries citing papers authored by Qian Yu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Qian Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Qian Yu. A scholar is included among the top collaborators of Qian Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qian Yu. Qian Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 27
4 16
5 18
6 7
7 24
8 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
2
10 0
11 9
12 13
13 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 →
439
15 11
16 80
17 1
18 6
19 1
20 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) and COVID-19 diagnosis using AI (6 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.

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