Kelu Yang

1.0k citations
34 papers · 681 · h-index 13

Impact in

Papers in

Kelu Yang

31 papers receiving 656 citations

Peers

Kelu Yang
Comparison fields: 5 of 121
  • Complementary and alternative medicine 84
  • Critical Care and Intensive Care Medicine 41
  • Pharmacology 57
  • Infectious Diseases 82
  • Health Informatics 6
Replace Pui Kuan Cheong with:
Pui Kuan Cheong Hong Kong
Guobin Su China
Yu–Ming Chang Taiwan
Tao Fan China
Tanisa Patcharatrakul Thailand
Honghao Lai China
Sunita Rehal United Kingdom
Sakkarin Chirapongsathorn Thailand
Anirudh Kumar United States
Andrea A. Conti Italy
Kelu Yang relative to Pui Kuan Cheong Hong Kong Pui Kuan Cheong's profile →
Citations per field
00.5×
Pui Kuan Cheong · 1×
Citations per year

Countries citing papers authored by Kelu Yang

Since Specialization
Citations

This map shows the geographic impact of Kelu 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 Kelu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kelu Yang more than expected).

Fields of papers citing papers by Kelu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelu 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 Kelu Yang. The network helps show where Kelu Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Kelu Yang, 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 Kelu Yang Line = papers co-authored together Kelu Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020169
2
Weaning from mechanical ventilation.
199087
3 202061
4 202254
5 202140
6 202329
7 202125
8 202024
9 202324
10 202119
11 202018
12 201918
13 201912
14 202010
15 20229
16 20198
17 20228
18 20208
19 20208
20 20208

About Kelu Yang

Kelu Yang is a scholar working on Infectious Diseases, Statistics, Probability and Uncertainty, Sociology and Political Science, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 681 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (4 papers), Mosquito-borne diseases and control (3 papers), Delphi Technique in Research (2 papers), Viral Infections and Vectors (2 papers), COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (2 papers), Sleep and related disorders (2 papers) and Gastric Cancer Management and Outcomes (2 papers). The work is most often cited by research in Complementary and alternative medicine (84 citations), Critical Care and Intensive Care Medicine (41 citations), Pharmacology (57 citations), Infectious Diseases (82 citations) and Health Informatics (6 citations). Kelu Yang has collaborated with scholars based in China, Belgium and Canada. Frequent co-authors include Ya Gao, Ming Liu, Jinhui Tian, Shuzhen Shi, Junhua Zhang, Mark J. Tobin, Yuan Yuan, Jiyuan Shi, Yue Sun and Jinhui Tian. Their work appears in journals such as Journal of Clinical Epidemiology, Antiviral Research, Journal of Evidence-Based Medicine, Journal of Medical Internet Research and Medicine.

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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