Yang‐Cheng Lin

52 papers receiving 682 citations

Peers

Yang‐Cheng Lin
Comparison fields: 5 of 97
  • Social Psychology 458
  • Experimental and Cognitive Psychology 227
  • Management of Technology and Innovation 99
  • Food Science 182
  • Computer Graphics and Computer-Aided Design 23
Replace Meng‐Dar Shieh with:
Meng‐Dar Shieh Taiwan
Hung‐Cheng Tsai Taiwan
Shih-Wen Hsiao Taiwan
Man Ding China
Richard E. Christ United States
Marina Carulli Italy
Xianjun Sam Zheng United States
Linghao Zhang China
Chih‐Chun Lai United Kingdom
Yang‐Cheng Lin relative to Meng‐Dar Shieh Taiwan Meng‐Dar Shieh's profile →
Citations per field
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Meng‐Dar Shieh · 1×
Citations per year

Countries citing papers authored by Yang‐Cheng Lin

Since Specialization
Citations

This map shows the geographic impact of Yang‐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 Yang‐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 Yang‐Cheng Lin more than expected).

Fields of papers citing papers by Yang‐Cheng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004147
2 2004143
3 2007117
4 201257
5 201629
6 201226
7 202219
8 202012
9 201112
10 201411
11 201910
12 202310
13 20129
14 20169
15 20226
16 20016
17 20176
18 20186
19
A method of the product form design and color design of train seats based on GRA-Fuzzy theory
20185
20 20225

About Yang‐Cheng Lin

Yang‐Cheng Lin is a scholar working on Social Psychology, Experimental and Cognitive Psychology, Atomic and Molecular Physics, and Optics, Food Science and Biomedical Engineering, having authored 63 papers that have together received 730 indexed citations. Recurring topics across this work include Color perception and design (28 papers), Multisensory perception and integration (19 papers), Color Science and Applications (9 papers), Sensory Analysis and Statistical Methods (6 papers), Stroke Rehabilitation and Recovery (5 papers), Muscle activation and electromyography studies (4 papers), Olfactory and Sensory Function Studies (3 papers) and Library Collection Development and Digital Resources (2 papers). The work is most often cited by research in Social Psychology (458 citations), Experimental and Cognitive Psychology (227 citations), Management of Technology and Innovation (99 citations), Food Science (182 citations) and Computer Graphics and Computer-Aided Design (23 citations). Yang‐Cheng Lin has collaborated with scholars based in Taiwan, Australia and China. Frequent co-authors include Chung‐Hsing Yeh, Hsin-Hsi Lai, Chien‐Hung Wei, Chien-Sheng Liu, Chien‐Hsu Chen, Chun‐Chih Chen, Yiwen Wang, Chau‐Chen Torng, Yi Xiao and Pei-Hsi Lee. Their work appears in journals such as JMIR Serious Games, Sustainability, International Journal of Production Economics, International Journal of Environmental Research and Public Health and Computers & Operations Research.

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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