Lisha Yu

39 papers receiving 665 citations

Peers

Lisha Yu
Comparison fields: 5 of 137
  • Complementary and alternative medicine 105
  • Physical Therapy, Sports Therapy and Rehabilitation 49
  • Pharmacology 62
  • Biological Psychiatry 12
  • Computer Vision and Pattern Recognition 93
Replace Chaoyun Li with:
Chaoyun Li China
Wen-Long Hu Taiwan
Myung-Jin Choi South Korea
Qi Xie China
Eric Yang United States
Zehuai Wen China
Jianfeng Chu China
Nico Steckhan Germany
Yan‐Ming Xie China
Lisha Yu relative to Chaoyun Li China Chaoyun Li's profile →
Citations per field
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Chaoyun Li · 1×
Citations per year

Countries citing papers authored by Lisha Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lisha Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201786
2
Evaluation with receptor binding assay on the water extracts of ten CNS-active Chinese herbal drugs.
199585
3 201575
4 201846
5 202144
6 201841
7 202237
8 202030
9 201827
10 202123
11 202317
12 202217
13 202315
14 202214
15 202214
16 202111
17 202011
18 202410
19 20249
20 20228

About Lisha Yu

Lisha Yu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physical Therapy, Sports Therapy and Rehabilitation, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 681 indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Blood Pressure and Hypertension Studies (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Context-Aware Activity Recognition Systems (3 papers), COVID-19 diagnosis using AI (2 papers) and Natural Compounds in Disease Treatment (2 papers). The work is most often cited by research in Complementary and alternative medicine (105 citations), Physical Therapy, Sports Therapy and Rehabilitation (49 citations), Pharmacology (62 citations), Biological Psychiatry (12 citations) and Computer Vision and Pattern Recognition (93 citations). Lisha Yu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kwok‐Leung Tsui, Yang Zhao, Hailiang Wang, Qi Zhang, Bo Ma, Jianwei Zhu, Guohua An, Wai Man Chan, Chaowei Fu and Suhan Guo. Their work appears in journals such as Scientific Reports, British Journal of Haematology, International Journal of Environmental Research and Public Health, Sensors and Journal of Medical Internet Research.

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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