I‐Feng Lin

1.7k citations
24 papers · 1.3k · h-index 16

Impact in

Papers in

I‐Feng Lin

24 papers receiving 1.2k citations

Peers

I‐Feng Lin
Comparison fields: 5 of 125
  • Microbiology 75
  • General Health Professions 218
  • Epidemiology 212
  • Rehabilitation 36
  • Cardiology and Cardiovascular Medicine 118
Replace Adam S. Vaughan with:
Adam S. Vaughan United States
Doreen M. Agnese United States
David M. Thompson United States
Chien‐Da Huang Taiwan
Josep Maria Manresa‐Domínguez Spain
Bonnie Faigeles United States
Michelle E. Kruijshaar Netherlands
Tamara D. Simon United States
Louise Sigfrid United Kingdom
Melissa Harden United Kingdom
I‐Feng Lin relative to Adam S. Vaughan United States Adam S. Vaughan's profile →
Citations per field
00.5×1.7×
Adam S. Vaughan · 1×
Citations per year

Countries citing papers authored by I‐Feng Lin

Since Specialization
Citations

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

Fields of papers citing papers by I‐Feng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998298
2 2001238
3 2019137
4 2000130
5 2015115
6 201165
7 200961
8 201434
9 201033
10 201729
11 201028
12 201627
13 201722
14 200619
15 201318
16 201416
17 20019
18 20057
19 20116
20 20135

About I‐Feng Lin

I‐Feng Lin is a scholar working on Electrical and Electronic Engineering, General Health Professions, Materials Chemistry, Surgery and Atomic and Molecular Physics, and Optics, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (4 papers), Organic Light-Emitting Diodes Research (4 papers), Health Literacy and Information Accessibility (3 papers), Mobile Health and mHealth Applications (2 papers), Advanced Chemical Physics Studies (2 papers), Semiconductor materials and devices (2 papers), Luminescence and Fluorescent Materials (2 papers) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in Microbiology (75 citations), General Health Professions (218 citations), Epidemiology (212 citations), Rehabilitation (36 citations) and Cardiology and Cardiovascular Medicine (118 citations). I‐Feng Lin has collaborated with scholars based in Taiwan, United States and Belgium. Frequent co-authors include Ralph L. Sacco, Myunghee Cho Paik, Bernadette Boden‐Albala, Douglas E. Kargman, Steven Shea, Robert Gan, W. Allen Hauser, Mitchell S.V. Elkind, J. Thomas Grayston and Lars Berglund. Their work appears in journals such as International Journal of Radiation Biology, The Journal of Chemical Physics, Stroke, Journal of Adolescent Health and Nanoscale Research 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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