Ming-Yi Lin

46 papers receiving 632 citations

Peers

Ming-Yi Lin
Comparison fields: 5 of 94
  • Genetics 167
  • Biophysics 43
  • Acoustics and Ultrasonics 4
  • Biomedical Engineering 190
  • Polymers and Plastics 51
Replace M. Radomsky with:
M. Radomsky United States
Ji Sun Choi United States
Zoe Davies United States
Joshua R. Buser United States
Bruce Wong Canada
J.I. Lee South Korea
Giuliana Di Martino United Kingdom
Michael J. Dubec United Kingdom
Sumin Bian China
R. Lyle Hood United States
Ming-Yi Lin relative to M. Radomsky United States M. Radomsky's profile →
Citations per field
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M. Radomsky · 1×
Citations per year

Countries citing papers authored by Ming-Yi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Yi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010166
2 201867
3 201760
4 201435
5 201730
6 200330
7 201630
8 199128
9 200225
10 200214
11 202013
12 201912
13 201812
14 201211
15 201610
16 20179
17 20167
18
Urinary N-acetyl-beta-glucosaminidase (NAG) in children receiving antiepileptic drugs.
19937
19 20136
20 20216

About Ming-Yi Lin

Ming-Yi Lin is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Materials Chemistry, Biophysics and Atomic and Molecular Physics, and Optics, having authored 50 papers that have together received 643 indexed citations. Recurring topics across this work include Optical Coherence Tomography Applications (10 papers), Advanced Fluorescence Microscopy Techniques (7 papers), Quantum Dots Synthesis And Properties (6 papers), Nanowire Synthesis and Applications (6 papers), Conducting polymers and applications (5 papers), Graphene research and applications (5 papers), Organic Electronics and Photovoltaics (5 papers) and Cell Image Analysis Techniques (4 papers). The work is most often cited by research in Genetics (167 citations), Biophysics (43 citations), Acoustics and Ultrasonics (4 citations), Biomedical Engineering (190 citations) and Polymers and Plastics (51 citations). Ming-Yi Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Brian Zingg, Karen Ling, Chien‐Ping Ko, Zhihua Feng, Wei‐Chen Tu, Ikuya Nonaka, Chih‐Wei Chu, Yia‐Chung Chang, Sheng Hsiung Chang and Jeng‐Wei Tjiu. Their work appears in journals such as Optics Express, IEEE Photonics Technology Letters, Journal of Nanoelectronics and Optoelectronics, Biomedical Optics Express and Japanese Journal of Applied Physics.

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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