Yuting Chen

830 citations
27 papers · 670 · h-index 14

Impact in

Papers in

Yuting Chen

27 papers receiving 658 citations

Peers

Yuting Chen
Comparison fields: 5 of 105
  • Hardware and Architecture 110
  • Rehabilitation 86
  • Computer Networks and Communications 107
  • Endocrinology 19
  • Immunology 73
Replace Arvind Jain with:
Arvind Jain India
Takahide Ikeda Japan
Mónica Maribel Mata-Miranda Mexico
Il‐Kyu Park South Korea
Yu‐Ting Lee Taiwan
Jiao Lu China
Harsh M. Trivedi United States
Kun Han China
Michael Heisig Germany
Yuting Chen relative to Arvind Jain India Arvind Jain's profile →
Citations per field
00.5×5×10×15×21.5×
Arvind Jain · 1×
Citations per year

Countries citing papers authored by Yuting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022115
2 200590
3 201255
4 202254
5 201248
6 201240
7 201237
8 202233
9 201129
10 202021
11 202321
12 201717
13 201216
14 202313
15 201211
16 201310
17 202010
18 202410
19 20219
20 20117

About Yuting Chen

Yuting Chen is a scholar working on Molecular Biology, Computer Networks and Communications, Pediatrics, Perinatology and Child Health, Hardware and Architecture and Biochemistry, having authored 27 papers that have together received 670 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Prenatal Screening and Diagnostics (3 papers), RNA Interference and Gene Delivery (2 papers), Advanced Memory and Neural Computing (2 papers), Inflammasome and immune disorders (2 papers), Advanced Data Storage Technologies (2 papers), 3D Printing in Biomedical Research (1 paper) and Traditional and Medicinal Uses of Annonaceae (1 paper). The work is most often cited by research in Hardware and Architecture (110 citations), Rehabilitation (86 citations), Computer Networks and Communications (107 citations), Endocrinology (19 citations) and Immunology (73 citations). Yuting Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Chunyue Liu, Jinhong Cai, Glenn Reinman, Jason Cong, Hui Huang, Li Zheng, David J. McGee, Melanie L. Langford, Karen M. Ottemann and Shuhan Liu. Their work appears in journals such as Infection and Immunity, Biochemical Pharmacology, Acta Pharmaceutica Sinica B, International Journal of Food Microbiology and Regenerative Biomaterials.

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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