Yen‐Fu Lin

4.5k citations
101 papers · 3.7k indexed · h-index 30
Topics
2D Materials and Applications (43 papers)Graphene research and applications (23 papers)Advanced Memory and Neural Computing (20 papers)
Journals
Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología
Partner nations
TaiwanChinaJapan

In The Last Decade

Yen‐Fu Lin

97 papers receiving 3.7k citations

Peers

Yen‐Fu Lin
Comparison fields: 5 of 65
  • Electrical and Electronic Engineering 2.5k
  • Materials Chemistry 2.5k
  • Biomedical Engineering 777
  • Polymers and Plastics 616
  • Atomic and Molecular Physics, and Optics 280
Replace Yutaka Ohno with:
Yutaka Ohno Japan
Michael L. Geier United States
Yasuhisa Naitoh Japan
Xuming Zou China
Min Suk Oh South Korea
Fu‐Chien Chiu Taiwan
Subhajit Biswas Ireland
Woo Jong Yu South Korea
Jaekyun Kim South Korea
Mohit Kumar South Korea
Yen‐Fu Lin relative to Yutaka Ohno Japan Yutaka Ohno's profile →
Citations per field
00.5×
Yutaka Ohno · 1×
Citations per year

Countries citing papers authored by Yen‐Fu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yen‐Fu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yen‐Fu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yen‐Fu Lin. A scholar is included among the top collaborators of Yen‐Fu Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yen‐Fu Lin. Yen‐Fu Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 3
4 1
5 0
6 0
7 7
8 85
9 8
10 3
11 21
12 12
13 25
14 40
15 145
16 23
17 31
18 53
19 2
20 52

About Yen‐Fu Lin

Yen‐Fu Lin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Polymers and Plastics, having authored 101 papers that have together received 3.7k indexed citations. Recurring topics across this work include 2D Materials and Applications (43 papers), Graphene research and applications (23 papers) and Advanced Memory and Neural Computing (20 papers). The work is most often cited by research in Materials Chemistry (2.5k citations), Polymers and Plastics (616 citations) and Electrical and Electronic Engineering (2.5k citations). Yen‐Fu Lin has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Kazuhito Tsukagoshi, Wenwu Li, Wen‐Bin Jian, Songlin Li, Yong Xu, Shu Nakaharai, Mahito Yamamoto, Huabin Sun, Keiji Ueno and A. Aparecido-Ferreira. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

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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