Ryan Chen

31 papers receiving 286 citations

Peers

Ryan Chen
Comparison fields: 5 of 85
  • Health Informatics 9
  • Biological Psychiatry 14
  • Behavioral Neuroscience 14
  • Biophysics 14
  • Neurology 14
Replace Janice A. Zawaski with:
Janice A. Zawaski United States
Wenjing Li China
Omer Karin Israel
Vanessa M. Nascimento United States
Nicholas Van Wittenberghe United States
Claudia Cárcamo Chile
Rui Meng China
Shasha Ye China
Yvonne Wang United States
Ryan Chen relative to Janice A. Zawaski United States Janice A. Zawaski's profile →
Citations per field
00.5×4.7×
Janice A. Zawaski · 1×
Citations per year

Countries citing papers authored by Ryan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200886
2 201850
3 202030
4 202118
5 201515
6 202312
7 201811
8 202310
9 20146
10 20186
11 20245
12 20235
13 20175
14 20255
15 20155
16 20253
17 20193
18 20162
19 20252
20 20242

About Ryan Chen

Ryan Chen is a scholar working on Electrical and Electronic Engineering, Dermatology, Oncology, Health Informatics and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 294 indexed citations. Recurring topics across this work include 3D IC and TSV technologies (7 papers), Electronic Packaging and Soldering Technologies (6 papers), Advancements in Photolithography Techniques (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Autoimmune Bullous Skin Diseases (2 papers) and Drug-Induced Adverse Reactions (2 papers). The work is most often cited by research in Health Informatics (9 citations), Biological Psychiatry (14 citations), Behavioral Neuroscience (14 citations), Biophysics (14 citations) and Neurology (14 citations). Ryan Chen has collaborated with scholars based in United States, Taiwan and Puerto Rico. Frequent co-authors include Cheng Liu, Richard J. Côté, Shan-Rong Shi, Andrew Young, Clive R. Taylor, Llana Pootrakul, Christy A. Itoga, Fulvia Berton, Sharif A. Taha and Walter Francesconi. Their work appears in journals such as Journal of the American Academy of Dermatology, Neurobiology of Stress, Biomedicines, The American Journal of Surgery and Journal of Computer Assisted Tomography.

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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