Lin‐Yu Wang

49 papers receiving 474 citations

Peers

Lin‐Yu Wang
Comparison fields: 5 of 117
  • Developmental Neuroscience 16
  • Rehabilitation 21
  • Pharmacology 22
  • Pediatrics, Perinatology and Child Health 42
  • Psychiatry and Mental health 31
Replace Dandan Wang with:
Dandan Wang China
Patrick Lindsey Netherlands
Ye Wu China
Aidong Chen China
Hiroshi Fujioka Japan
Takuya Shimizu Japan
Sandra Olsson Sweden
Haiyan Luo China
John J. Pippin United States
Nabil E. Boutagy United States
Lin‐Yu Wang relative to Dandan Wang China Dandan Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lin‐Yu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lin‐Yu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200481
2 202035
3 201731
4 200724
5 202223
6 202222
7 201221
8 201221
9 202318
10 201316
11 201714
12 202112
13 201512
14 201311
15 201811
16 201110
17 202310
18 20249
19 20179
20 20038

About Lin‐Yu Wang

Lin‐Yu Wang is a scholar working on Epidemiology, Biomedical Engineering, Statistical and Nonlinear Physics, Oncology and Endocrinology, Diabetes and Metabolism, having authored 54 papers that have together received 481 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (4 papers), Chaos control and synchronization (3 papers), Viral-associated cancers and disorders (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Streptococcal Infections and Treatments (2 papers), Infant Health and Development (2 papers), Neural Networks Stability and Synchronization (2 papers) and Advanced SAR Imaging Techniques (2 papers). The work is most often cited by research in Developmental Neuroscience (16 citations), Rehabilitation (21 citations), Pharmacology (22 citations), Pediatrics, Perinatology and Child Health (42 citations) and Psychiatry and Mental health (31 citations). Lin‐Yu Wang has collaborated with scholars based in China, Taiwan and Japan. Frequent co-authors include Shan‐Tair Wang, Hsueh‐Te Lee, Chao Huang, Chien-Jung Ho, Ying‐Chao Chang, Juei‐Tang Cheng, Ho‐Shan Niu, Yee‐Hsuan Chiou, Lilian Huang and Jianhong Xiang. Their work appears in journals such as Expert Opinion on Drug Safety, Frontiers in Medicine, Environmental Pollution, Journal of Pain Research and International Journal of Pharmaceutics.

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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