Yu‐Wei Chen

1.1k citations
19 papers · 898 · h-index 12

Impact in

Papers in

Yu‐Wei Chen

16 papers receiving 893 citations

Peers

Yu‐Wei Chen
Comparison fields: 5 of 88
  • Biomaterials 153
  • Biomedical Engineering 498
  • Behavioral Neuroscience 37
  • Cellular and Molecular Neuroscience 160
  • Materials Chemistry 356
Replace Siyuan Rao with:
Siyuan Rao United States
Atharva Sahasrabudhe United States
Chaejeong Heo South Korea
Roberta Tatti Italy
Jieun Kim South Korea
Yike Fu China
Po‐Han Chiang Taiwan
Sung Il Park South Korea
Xiwen Geng China
Yu‐Wei Chen relative to Siyuan Rao United States Siyuan Rao's profile →
Citations per field
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Siyuan Rao · 1×
Citations per year

Countries citing papers authored by Yu‐Wei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Wei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Wei 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 Yu‐Wei Chen. The network helps show where Yu‐Wei Chen may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2012244
2 2014101
3 201393
4 201693
5 201363
6 202358
7 201453
8 201547
9 202346
10 201036
11 200931
12 201915
13 20167
14 20225
15 20195
16 20191
17 20250
18 20250
19 20240

About Yu‐Wei Chen

Yu‐Wei Chen is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Social Psychology, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 19 papers that have together received 898 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Graphene and Nanomaterials Applications (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Nanoplatforms for cancer theranostics (3 papers), Microwave Engineering and Waveguides (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Ferroelectric and Negative Capacitance Devices (1 paper). The work is most often cited by research in Biomaterials (153 citations), Biomedical Engineering (498 citations), Behavioral Neuroscience (37 citations), Cellular and Molecular Neuroscience (160 citations) and Materials Chemistry (356 citations). Yu‐Wei Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include San‐Yuan Chen, Shang‐Hsiu Hu, I‐Wei Chen, Po‐Jung Chen, Donna J. Calu, Yavin Shaham, Sunila G Nair, Alex B. Kawa, Helen Nasser and Jun Liu. Their work appears in journals such as Advanced Functional Materials, Scientific Reports, Neuropharmacology, International Journal of Environmental Research and Public Health and IEEE Transactions on Microwave Theory and Techniques.

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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