Yu-Cheng Lin

946 citations
15 papers · 691 indexed · 1 hit paper · h-index 11

Yu-Cheng Lin

15 papers receiving 674 citations

Hit Papers

Time distortion associated with smartphone addiction: Ide...278201520262018202250100150200250

Peers

Yu-Cheng Lin
Comparison fields: 5 of 119
  • Endocrinology 63
  • Applied Psychology 44
  • Information Systems and Management 47
  • Sociology and Political Science 248
  • Molecular Medicine 25
Replace Yeon Jin Kim with:
Yeon Jin Kim South Korea
Alex Lim United States
Víctor J. Rubio Spain
Jeanne P. Ryan United States
Juan M. Álvarez United States
Leticia Márquez-Magaña United States
Jeewon Lee South Korea
Jianhui Wu China
Ingrid Nilsson Sweden
Keith Johnstone United Kingdom
Yu-Cheng Lin relative to Yeon Jin Kim South Korea Yeon Jin Kim's profile →
Citations per field
00.5×7.8×
Yeon Jin Kim · 1×
Citations per year

Countries citing papers authored by Yu-Cheng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Cheng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Cheng 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 Yu-Cheng Lin. The network helps show where Yu-Cheng Lin may publish in the future.

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20222
2 202112
3 20194
4 201846
5 201826
6 201749
7 201721
8 201616
9 20168
10 201610
11 201516
12
Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App)breakdown →
2015278
13 2015102
14 201558
15 201043

About Yu-Cheng Lin

Yu-Cheng Lin is a scholar working on Endocrinology, Experimental and Cognitive Psychology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 691 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (6 papers), Bacterial Genetics and Biotechnology (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Photoreceptor and optogenetics research (2 papers), Protist diversity and phylogeny (2 papers), Sleep and Work-Related Fatigue (2 papers), Microbial Community Ecology and Physiology (1 paper) and Workplace Health and Well-being (1 paper). The work is most often cited by research in Endocrinology (63 citations), Applied Psychology (44 citations) and Information Systems and Management (47 citations). Yu-Cheng Lin has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Lars E. P. Dietrich, Cheryl C.H. Yang, Terry B.J. Kuo, Alexa Price‐Whelan, Yu‐Hsuan Lin, Li‐Ren Chang, Sheng‐Hsuan Lin, Yang-Han Lee, William Cole Cornell and Ákos T. Kovács. Their work appears in journals such as Nature Communications, PLoS ONE and Journal of Molecular Biology.

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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