Ying‐Ting Lin

31 papers receiving 464 citations

Peers

Ying‐Ting Lin
Comparison fields: 5 of 100
  • Polymers and Plastics 104
  • Geriatrics and Gerontology 20
  • Biochemistry 26
  • Acoustics and Ultrasonics 3
  • Electronic, Optical and Magnetic Materials 53
Replace Tohid Mortezazadeh with:
Tohid Mortezazadeh Iran
Balanehru Subramanian India
Zehua Yang China
Xiangdong He China
Hong Woo Lee South Korea
Stefan Erhardt Germany
Jaehong Lim Singapore
Shailesh R. Shah India
Yichun Shen China
Ying‐Ting Lin relative to Tohid Mortezazadeh Iran Tohid Mortezazadeh's profile →
Citations per field
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Tohid Mortezazadeh · 1×
Citations per year

Countries citing papers authored by Ying‐Ting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Ting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013117
2 200691
3 200665
4 200937
5 201326
6 201824
7 200413
8 20139
9 20198
10 20108
11 20048
12 20238
13 20188
14 20227
15 20207
16 20017
17 20235
18 20244
19 20184
20 20164

About Ying‐Ting Lin

Ying‐Ting Lin is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Organic Chemistry, having authored 33 papers that have together received 477 indexed citations. Recurring topics across this work include Plasmonic and Surface Plasmon Research (4 papers), Biosensors and Analytical Detection (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Opinion Dynamics and Social Influence (3 papers), Electrochemical sensors and biosensors (3 papers), Complex Network Analysis Techniques (3 papers), Evolutionary Game Theory and Cooperation (2 papers) and Ruminant Nutrition and Digestive Physiology (2 papers). The work is most often cited by research in Polymers and Plastics (104 citations), Geriatrics and Gerontology (20 citations), Biochemistry (26 citations), Acoustics and Ultrasonics (3 citations) and Electronic, Optical and Magnetic Materials (53 citations). Ying‐Ting Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Rui Zhu, Jian Bao, Min Zhou, Xiaodong Zhang, Yi Xie, Gou‐Jen Wang, Neeraj Mahindroo, Su‐Ying Wu, Kai–Hui Chen and Hsing‐Pang Hsieh. Their work appears in journals such as IEEE Sensors Journal, Journal of Medicinal Chemistry, Electronics Letters, Journal of the Optical Society of America B and Bioorganic & Medicinal Chemistry Letters.

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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