Ming‐Hsien Lin

69 papers receiving 1.9k citations

Peers

Ming‐Hsien Lin
Comparison fields: 5 of 121
  • Geriatrics and Gerontology 239
  • Automotive Engineering 385
  • Electrical and Electronic Engineering 1.0k
  • Electronic, Optical and Magnetic Materials 326
  • Physiology 245
Replace Akihiro Yoshida with:
Akihiro Yoshida Japan
Daiki Watanabe Japan
Robert Barnard United Kingdom
Sheng‐Chang Wang Taiwan
Hayeon Lee South Korea
Jingchuan Guo United States
Vincent De Andrade United States
Jeong Ho Park South Korea
Chi‐Hsien Huang Taiwan
Kaixin Yu China
Ming‐Hsien Lin relative to Akihiro Yoshida Japan Akihiro Yoshida's profile →
Citations per field
00.5×3.2×
Akihiro Yoshida · 1×
Citations per year

Countries citing papers authored by Ming‐Hsien Lin

Since Specialization
Citations

This map shows the geographic impact of Ming‐Hsien 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‐Hsien 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‐Hsien Lin more than expected).

Fields of papers citing papers by Ming‐Hsien Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20246
5 202414
6 20245
7 20239
8 202319
9 202221
10 20221
11 20222
12 202155
13 202114
14 202029
15 20208
16 201714
17 201616
18 201347
19 20127
20 201036

About Ming‐Hsien Lin

Ming‐Hsien Lin is a scholar working on Geriatrics and Gerontology, Electronic, Optical and Magnetic Materials, Physiology, Electrical and Electronic Engineering and Family Practice, having authored 71 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advancements in Battery Materials (23 papers), Nutrition and Health in Aging (16 papers), Advanced Battery Materials and Technologies (15 papers), Frailty in Older Adults (13 papers), Supercapacitor Materials and Fabrication (13 papers), Advanced battery technologies research (13 papers), Body Composition Measurement Techniques (6 papers) and Graphene research and applications (6 papers). The work is most often cited by research in Geriatrics and Gerontology (239 citations), Automotive Engineering (385 citations), Electrical and Electronic Engineering (1.0k citations), Electronic, Optical and Magnetic Materials (326 citations) and Physiology (245 citations). Ming‐Hsien Lin has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Ju‐Hsiang Cheng, Liang‐Kung Chen, Bing−Joe Hwang, Wei‐Nien Su, Li‐Ning Peng, Wei‐Ju Lee, Chun‐Chieh Wang, Chen−Jui Huang, An‐Chun Hwang and Ming-Der Ger. Their work appears in journals such as ACS Applied Materials & Interfaces, Journal of Power Sources, Geriatrics and gerontology international, Journal of Cachexia Sarcopenia and Muscle and Archives of Gerontology and Geriatrics.

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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