Yaolong Chen
Impact in
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- Meta-analysis and systematic reviews
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
Papers in
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- Meta-analysis and systematic reviews 60
Yaolong Chen
303 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Statistics, Probability and Uncertainty 452
- Infectious Diseases 889
- Complementary and alternative medicine 339
- Health Informatics 52
- Internal Medicine 129
Countries citing papers authored by Yaolong Chen
This map shows the geographic impact of Yaolong Chen'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 Yaolong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaolong Chen more than expected).
Fields of papers citing papers by Yaolong Chen
This network shows the impact of papers produced by Yaolong Chen. 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 Yaolong Chen. The network helps show where Yaolong Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yaolong Chen, 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 | 2 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 1 | |
| 10 | 公式アプローチによるレーザトレーサを用いた幾何学的誤差キャリブレーションの精度評価【JST・京大機械翻訳】 | 2021 | 1 |
| 11 | 2021 | 5 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 15 | |
| 14 | [Exploration on developing the diagnosis and treatment guidelines for osteoarthritis in primary care of China]. | 2019 | 1 |
| 15 | 2018 | 12 | |
| 16 | 2017 | 1 | |
| 17 | 2016 | 8 | |
| 18 | Expert consensus on the therapeutic drug monitoring of vancomycin in China | 2016 | 1 |
| 19 | The Practicality Space Analysis Method of Structure Calculation for Large Rectangle Aqueduct with Multi-Longitudinal Beam | 2005 | 1 |
| 20 | Research on thermal stress of concrete slabs of rockfill dam under condition of cold wave attack | 2004 | 1 |
About Yaolong Chen
Yaolong Chen is a scholar working on Medical Terminology, Statistics, Probability and Uncertainty, Health Informatics, Public Health, Environmental and Occupational Health and Complementary and alternative medicine, having authored 334 papers that have together received 5.4k indexed citations. Recurring topics across this work include Clinical practice guidelines implementation (84 papers), Meta-analysis and systematic reviews (60 papers), Advanced Measurement and Metrology Techniques (33 papers), Advanced machining processes and optimization (32 papers), Health Systems, Economic Evaluations, Quality of Life (32 papers), COVID-19 Clinical Research Studies (26 papers), Advanced Surface Polishing Techniques (26 papers) and Delphi Technique in Research (18 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (452 citations), Infectious Diseases (889 citations), Complementary and alternative medicine (339 citations), Health Informatics (52 citations) and Internal Medicine (129 citations). Yaolong Chen has collaborated with scholars based in China, Switzerland and Canada. Frequent co-authors include Kehu Yang, Jun Zha, Liang Yao, Qi Zhou, Xufei Luo, Dang Wei, Xiaoqin Wang, Enmei Liu, Susan L. Norris and Zhang Chengyong. Their work appears in journals such as Annals of Translational Medicine, Journal of Clinical Epidemiology, Journal of Evidence-Based Medicine, BMJ Open and The International Journal of Advanced Manufacturing Technology.
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.