Ming‐Fa Lin

2.3k citations
106 papers · 1.8k indexed · h-index 23

Ming‐Fa Lin

105 papers receiving 1.7k citations

Peers

Ming‐Fa Lin
Comparison fields: 5 of 52
  • Materials Chemistry 1.6k
  • Atomic and Molecular Physics, and Optics 700
  • Electrical and Electronic Engineering 489
  • Structural Biology 10
  • Biomedical Engineering 273
Replace Amelia Barreiro with:
Amelia Barreiro Spain
Sérgio B. Legoas Brazil
Jens Kunstmann Germany
I. Milošević Serbia
Mari Ijäs Finland
Zeila Zanolli Belgium
Antoine Fleurence Japan
А. М. Попов Russia
Bogdana Borca Spain
Marko Kralj Croatia
Ming‐Fa Lin relative to Amelia Barreiro Spain Amelia Barreiro's profile →
Citations per field
00.5×3.4×
Amelia Barreiro · 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-authorship network

The 25 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

20 of 20 papers shown
#Work
1 20245
2 202312
3 20238
4 20236
5 20238
6 202113
7 201916
8 20196
9 20188
10 201718
11 20153
12 201518
13 201421
14 201318
15 2012110
16 20093
17 19992
18 199823
19 199828
20 199818

About Ming‐Fa Lin

Ming‐Fa Lin is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Structural Biology, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 106 papers that have together received 1.8k indexed citations. Recurring topics across this work include Graphene research and applications (84 papers), Carbon Nanotubes in Composites (37 papers), 2D Materials and Applications (28 papers), Quantum and electron transport phenomena (24 papers), Advancements in Battery Materials (18 papers), Boron and Carbon Nanomaterials Research (15 papers), Topological Materials and Phenomena (12 papers) and Perovskite Materials and Applications (9 papers). The work is most often cited by research in Materials Chemistry (1.6k citations), Atomic and Molecular Physics, and Optics (700 citations), Electrical and Electronic Engineering (489 citations), Structural Biology (10 citations) and Biomedical Engineering (273 citations). Ming‐Fa Lin has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Kenneth W. -K. Shung, Der-San Chuu, Feng-Lin Shyu, Jhao-Ying Wu, Vo Khuong Dien, Bi-Ru Wu, Godfrey Gumbs, Chiung‐Shiann Huang, Duy Khanh Nguyen and Ngoc Thanh Thuy Tran. Their work appears in journals such as Journal of the Physical Society of Japan, Physical review. B, Condensed matter, Scientific Reports, RSC Advances and Carbon.

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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