Ying-Fang Chen

797 total citations
27 papers, 549 citations indexed

About

Ying-Fang Chen is a scholar working on Electrical and Electronic Engineering, Complementary and alternative medicine and Molecular Biology. According to data from OpenAlex, Ying-Fang Chen has authored 27 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 3 papers in Complementary and alternative medicine and 2 papers in Molecular Biology. Recurrent topics in Ying-Fang Chen's work include Acupuncture Treatment Research Studies (3 papers), Advanced Memory and Neural Computing (2 papers) and Transition Metal Oxide Nanomaterials (2 papers). Ying-Fang Chen is often cited by papers focused on Acupuncture Treatment Research Studies (3 papers), Advanced Memory and Neural Computing (2 papers) and Transition Metal Oxide Nanomaterials (2 papers). Ying-Fang Chen collaborates with scholars based in China, United States and Taiwan. Ying-Fang Chen's co-authors include Samuel S. Peng, Géraldine Fauville, Matthew A. Cannady, Si‐ming Li, Weili Pan, Yibin Fan, Xiaohua Tao, Yan Teng, Na Liu and Wei Lü and has published in prestigious journals such as Neurology, The Lancet Neurology and Optics Express.

In The Last Decade

Ying-Fang Chen

24 papers receiving 514 citations

Peers

Ying-Fang Chen
Comparison fields: 5 of 129
  • Sociology and Political Science 207
  • Education 101
  • Management, Monitoring, Policy and Law 81
  • Molecular Biology 47
  • Ecology 45
Replace Emilia López-Iñesta with:
Emilia López-Iñesta Spain
William Morris United States
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Lingqing Zhang China
Thomas Søbirk Petersen Denmark
Jean‐Paul Gaudillière France
Kendall Powell United States
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Iwan Rhys Morus United Kingdom
Emilia López-Iñesta Spain View profile →
Citations per field, relative to Ying-Fang Chen
Ying-Fang Chen · 1×
Citations per year, relative to Ying-Fang Chen
Ying-Fang Chen · 1×

Countries citing papers authored by Ying-Fang Chen

Since Specialization
Citations

This map shows the geographic impact of Ying-Fang Chen'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 Ying-Fang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Fang Chen more than expected).

Fields of papers citing papers by Ying-Fang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Fang Chen. 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 Ying-Fang Chen. The network helps show where Ying-Fang Chen may publish in the future.

Co-authorship network of co-authors of Ying-Fang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Fang Chen. A scholar is included among the top collaborators of Ying-Fang Chen 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 Ying-Fang Chen. Ying-Fang Chen 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
# Work Indexed citations
1 3
2 0
3 3
4 5
5 1
6 0
7 1
8 95
9 8
10 3
11 2
12 19
13 15
14 4
15
[Effect of electroacupuncture stimulation of "Fenglong" (ST 40) on expression of inflammatory cytokines of celiac macrophages in hyperlipidemia rats].
2
16 7
17 9
18
Principles and applications of supercapacitors
6
19 183
20 24

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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