Ming-Fa Lin

417 citations
18 papers · 304 · h-index 7

Impact in

Papers in

Ming-Fa Lin

18 papers receiving 297 citations

Peers

Ming-Fa Lin
Comparison fields: 5 of 28
  • Materials Chemistry 265
  • Atomic and Molecular Physics, and Optics 144
  • Biomedical Engineering 82
  • Electrical and Electronic Engineering 91
  • Electronic, Optical and Magnetic Materials 16
Replace Chiun‐Yan Lin with:
Chiun‐Yan Lin Taiwan
Wengang Lu China
Hiroki Shioya Japan
Gabriella D. Shepard United States
R.B. Chen Taiwan
Everett Comfort United States
Matsuto Ogawa Japan
A. A. Shylau Sweden
Sangeeth Kallatt India
Demetrio Logoteta Italy
Ming-Fa Lin relative to Chiun‐Yan Lin Taiwan Chiun‐Yan Lin's profile →
Citations per field
00.5×1.5×2.0×
Chiun‐Yan Lin · 1×
Citations per year

Countries citing papers authored by Ming-Fa Lin

Since Specialization
Citations

This map shows the geographic impact of Ming-Fa 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-Fa 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-Fa Lin more than expected).

Fields of papers citing papers by Ming-Fa Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Ming-Fa 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-Fa Lin Line = papers co-authored together Ming-Fa Lin links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2006172
2 200031
3 200128
4 201315
5 201211
6 20169
7 19998
8 20106
9 19975
10 20174
11 20103
12 20133
13 20212
14 19992
15 20192
16 20031
17 20191
18 20221

About Ming-Fa Lin

Ming-Fa Lin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Organic Chemistry, having authored 18 papers that have together received 304 indexed citations. Recurring topics across this work include Graphene research and applications (12 papers), Carbon Nanotubes in Composites (6 papers), Quantum and electron transport phenomena (5 papers), Advancements in Battery Materials (5 papers), 2D Materials and Applications (2 papers), Structural Behavior of Reinforced Concrete (1 paper), Electron and X-Ray Spectroscopy Techniques (1 paper) and Analog and Mixed-Signal Circuit Design (1 paper). The work is most often cited by research in Materials Chemistry (265 citations), Atomic and Molecular Physics, and Optics (144 citations), Biomedical Engineering (82 citations), Electrical and Electronic Engineering (91 citations) and Electronic, Optical and Magnetic Materials (16 citations). Ming-Fa Lin has collaborated with scholars based in Taiwan, Russia and Yemen. Frequent co-authors include Chin‐Li Lu, Y. C. Huang, Ching-Chih Chang, R.B. Chen, Feng-Lin Shyu, S.-I. Liu, Chih‐Wei Chiu, Ngoc Thanh Thuy Tran, Der-San Chuu and Yuan‐Cheng Huang. Their work appears in journals such as Journal of the Physical Society of Japan, Scientific Reports, Computer Physics Communications, RSC Advances and Applied Physics 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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