Ming-Fa Lin

928 citations
56 papers · 618 indexed · h-index 15

Ming-Fa Lin

56 papers receiving 611 citations

Peers

Ming-Fa Lin
Comparison fields: 5 of 31
  • Materials Chemistry 571
  • Atomic and Molecular Physics, and Optics 248
  • Electrical and Electronic Engineering 203
  • Electronic, Optical and Magnetic Materials 63
  • Biomedical Engineering 86
Replace Y. C. Huang with:
Y. C. Huang Taiwan
Mari Ohfuchi Japan
Arlensiú Celis France
K. Ensslin Switzerland
Benhu Zhou China
Yuyuan Qin China
Iva Šrut Rakić Croatia
E. E. Muryumin Russia
Sunny Gupta United States
Ivan Khrapach Russia
Ming-Fa Lin relative to Y. C. Huang Taiwan Y. C. Huang's profile →
Citations per field
00.5×12.2×
Y. C. Huang · 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 201915
2 20198
3 201917
4 20191
5 20165
6 20159
7 201538
8 20159
9 201421
10 201426
11 20125
12 201216
13 20126
14 20116
15 20115
16 20118
17 20104
18 20105
19 200112
20 200071

About Ming-Fa Lin

Ming-Fa Lin is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Biomedical Engineering, having authored 56 papers that have together received 618 indexed citations. Recurring topics across this work include Graphene research and applications (51 papers), 2D Materials and Applications (17 papers), Quantum and electron transport phenomena (17 papers), Topological Materials and Phenomena (13 papers), Carbon Nanotubes in Composites (12 papers), Advancements in Battery Materials (11 papers), Plasmonic and Surface Plasmon Research (7 papers) and Diamond and Carbon-based Materials Research (3 papers). The work is most often cited by research in Materials Chemistry (571 citations), Atomic and Molecular Physics, and Optics (248 citations), Electrical and Electronic Engineering (203 citations), Electronic, Optical and Magnetic Materials (63 citations) and Biomedical Engineering (86 citations). Ming-Fa Lin has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Feng-Lin Shyu, Thi-Nga Do, Chiun‐Yan Lin, Godfrey Gumbs, Shih‐Yang Lin, Jhao-Ying Wu, Chih‐Wei Chiu, Ngoc Thanh Thuy Tran, Danhong Huang and Wu-Pei Su. Their work appears in journals such as Physical Chemistry Chemical Physics, RSC Advances, Journal of the Physical Society of Japan, Scientific Reports 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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