Shuyu Yang

3.3k citations
134 papers · 2.0k · h-index 24

Impact in

Papers in

Shuyu Yang

123 papers receiving 2.0k citations

Peers

Shuyu Yang
Comparison fields: 5 of 167
  • Geriatrics and Gerontology 221
  • Psychiatry and Mental health 559
  • Family Practice 58
  • Human-Computer Interaction 95
  • Biological Psychiatry 37
Replace Wei‐Zen Sun with:
Wei‐Zen Sun Taiwan
Isao Kato Japan
Joan Lindsay Canada
Juan Li China
Akira Ishii Japan
Michael Schwenk Germany
N. W. Shock United States
Shou‐En Lu United States
Vicki G. Davis United States
Jonathan Newman United States
Shuyu Yang relative to Wei‐Zen Sun Taiwan Wei‐Zen Sun's profile →
Citations per field
00.5×4.8×
Wei‐Zen Sun · 1×
Citations per year

Countries citing papers authored by Shuyu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shuyu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020177
2 2004111
3 2003107
4 201878
5 201364
6 202357
7 201757
8 201351
9 201049
10 202047
11 200745
12 200843
13 201242
14 201541
15 201141
16 201539
17 201439
18 201836
19 202234
20 200431

About Shuyu Yang

Shuyu Yang is a scholar working on Psychiatry and Mental health, Computer Vision and Pattern Recognition, Molecular Biology, Pharmacology and Biomedical Engineering, having authored 134 papers that have together received 2.0k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (26 papers), Advanced Data Compression Techniques (12 papers), Image and Signal Denoising Methods (11 papers), Bipolar Disorder and Treatment (10 papers), Pharmaceutical Practices and Patient Outcomes (8 papers), Treatment of Major Depression (7 papers), AI in cancer detection (6 papers) and Electroconvulsive Therapy Studies (5 papers). The work is most often cited by research in Geriatrics and Gerontology (221 citations), Psychiatry and Mental health (559 citations), Family Practice (58 citations), Human-Computer Interaction (95 citations) and Biological Psychiatry (37 citations). Shuyu Yang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Naotaka Shinfuku, Kang Sim, Hsing‐Cheng Liu, Senta Fujii, Dawen Yang, Chay Hoon Tan, Mian‐Yoon Chong, Tianmei Si, I‐Jung Lee and Bor-Shing Lin. Their work appears in journals such as Psychiatry and Clinical Neurosciences, Ecotoxicology and Environmental Safety, Frontiers in Pharmacology, Asia-Pacific Psychiatry and British Journal of Clinical Pharmacology.

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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