Yaolong Chen

11.4k citations
328 papers · 5.5k · h-index 39

Impact in

Papers in

Yaolong Chen

298 papers receiving 5.4k citations

Peers

Yaolong Chen
Comparison fields: 5 of 185
  • Statistics, Probability and Uncertainty 268
  • Infectious Diseases 651
  • Internal Medicine 92
  • Complementary and alternative medicine 220
  • Health Informatics 33
Replace Thomas Alexander Gerds with:
Thomas Alexander Gerds Denmark
Tiejun Tong Hong Kong
Zhongheng Zhang China
Daniel Prieto‐Alhambra United Kingdom
Laurent Brochard France
Colin Berry United Kingdom
Liang Yao China
Antonio Artigas Spain
Xian‐Tao Zeng China
Ana-Maria Šimundić Croatia
Yaolong Chen relative to Thomas Alexander Gerds Denmark Thomas Alexander Gerds's profile →
Citations per field
00.5×5.5×
Thomas Alexander Gerds · 1×
Citations per year

Countries citing papers authored by Yaolong Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Yaolong Chen Line = papers co-authored together Yaolong Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 328 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020246
2 2017233
3 2016152
4 2020138
5 2015138
6 2015132
7 2020123
8 2019120
9 2016114
10 201998
11 201696
12 201492
13 201785
14 201785
15 201882
16 201377
17 202074
18 201865
19 201857
20 202057

About Yaolong Chen

Yaolong Chen is a scholar working on Public Health, Environmental and Occupational Health, Mechanical Engineering, Statistics, Probability and Uncertainty, Biomedical Engineering and Infectious Diseases, having authored 328 papers that have together received 5.5k indexed citations. Recurring topics across this work include Clinical practice guidelines implementation (53 papers), Advanced machining processes and optimization (33 papers), Meta-analysis and systematic reviews (32 papers), Advanced Measurement and Metrology Techniques (32 papers), Advanced Surface Polishing Techniques (26 papers), COVID-19 Clinical Research Studies (16 papers), Tribology and Lubrication Engineering (11 papers) and Iterative Learning Control Systems (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (268 citations), Infectious Diseases (651 citations), Internal Medicine (92 citations), Complementary and alternative medicine (220 citations) and Health Informatics (33 citations). Yaolong Chen has collaborated with scholars based in China, United States and Switzerland. 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, The International Journal of Advanced Manufacturing Technology and BMJ Open.

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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