Liang-Yu Lin

1.2k total citations · 1 hit paper
20 papers, 795 citations indexed

About

Liang-Yu Lin is a scholar working on Pathology and Forensic Medicine, Dermatology and Epidemiology. According to data from OpenAlex, Liang-Yu Lin has authored 20 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 3 papers in Dermatology and 3 papers in Epidemiology. Recurrent topics in Liang-Yu Lin's work include Vitamin D Research Studies (5 papers), Thin-Film Transistor Technologies (3 papers) and Acne and Rosacea Treatments and Effects (3 papers). Liang-Yu Lin is often cited by papers focused on Vitamin D Research Studies (5 papers), Thin-Film Transistor Technologies (3 papers) and Acne and Rosacea Treatments and Effects (3 papers). Liang-Yu Lin collaborates with scholars based in United Kingdom, Taiwan and United States. Liang-Yu Lin's co-authors include Liam Smeeth, Charlotte Warren‐Gash, Pau‐Chung Chen, Chun‐Cheng Cheng, Chang‐Ho Choi, Chih‐Hung Chang, Sinéad Langan, Zhen Fang, Rohini Mathur and Yu‐Wei Su and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Liang-Yu Lin

19 papers receiving 787 citations

Hit Papers

Data resource profile: the National Health Insurance Rese... 2018 2026 2020 2023 2018 100 200 300

Peers

Liang-Yu Lin
Comparison fields: 5 of 130
  • Electrical and Electronic Engineering 172
  • Materials Chemistry 146
  • Epidemiology 106
  • Biomedical Engineering 78
  • Pathology and Forensic Medicine 76
Replace Cong Sun with:
Cong Sun China
Chien‐Yu Chen Taiwan
Can Cao China
John J. Chen United States
Tzung‐Yi Tsai Taiwan
Seung Hwan Lee South Korea
Hongtian Li China
Hyeon Jin Kim South Korea
Tomoya Hirose Japan
Chan‐Yu Lin Taiwan
Cong Sun China View profile →
Citations per field, relative to Liang-Yu Lin
Liang-Yu Lin · 1×
Citations per year, relative to Liang-Yu Lin
Liang-Yu Lin · 1×

Countries citing papers authored by Liang-Yu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Liang-Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang-Yu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Liang-Yu Lin. A scholar is included among the top collaborators of Liang-Yu Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liang-Yu Lin. Liang-Yu Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 9
4 2
5 17
6 4
7 9
8 51
9 48
10 5
11 6
12 6
13 17
14
Data resource profile: the National Health Insurance Research Database (NHIRD) breakdown →
346
15 32
16 65
17 73
18 67
19 15
20 22

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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