Lisha Yu

40 papers receiving 716 citations

Peers

Lisha Yu
Comparison fields: 5 of 126
  • Complementary and alternative medicine 100
  • Physical Therapy, Sports Therapy and Rehabilitation 54
  • Pharmacology 58
  • Computer Vision and Pattern Recognition 90
  • Biological Psychiatry 9
Replace Wen-Long Hu with:
Wen-Long Hu Taiwan
Jae Ho Park South Korea
Eric Yang United States
Jianfeng Chu China
Tiemei Zhang China
Deepak Baby Belgium
Yuyu Jiang China
Luís San Román Spain
Sungryul Lee South Korea
Lisha Yu relative to Wen-Long Hu Taiwan Wen-Long Hu's profile →
Citations per field
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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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201788
2
Evaluation with receptor binding assay on the water extracts of ten CNS-active Chinese herbal drugs.
199585
3 201575
4 201848
5 202147
6 202244
7 201841
8 202030
9 201828
10 202124
11 202321
12 202320
13 202217
14 202217
15 202415
16 202215
17 202011
18 202111
19 202410
20 20229

About Lisha Yu

Lisha Yu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition and Public Health, Environmental and Occupational Health, having authored 43 papers that have together received 730 indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Non-Invasive Vital Sign Monitoring (3 papers), Context-Aware Activity Recognition Systems (3 papers), Digital Imaging for Blood Diseases (2 papers), Blood Pressure and Hypertension Studies (2 papers), Air Quality and Health Impacts (2 papers) and Natural Compounds in Disease Treatment (2 papers). The work is most often cited by research in Complementary and alternative medicine (100 citations), Physical Therapy, Sports Therapy and Rehabilitation (54 citations), Pharmacology (58 citations), Computer Vision and Pattern Recognition (90 citations) and Biological Psychiatry (9 citations). Lisha Yu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kwok‐Leung Tsui, Yang Zhao, Jianwei Zhu, Hailiang Wang, Guohua An, Qi Zhang, Bo Ma, Chaowei Fu, Wai Man Chan and Ang Zhao. Their work appears in journals such as Journal of Medical Internet Research, British Journal of Haematology, International Journal of Environmental Research and Public Health, Frontiers in Cardiovascular Medicine and Sensors.

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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