Chao-Nan Chen

30 papers receiving 441 citations

Peers

Chao-Nan Chen
Comparison fields: 5 of 109
  • Neuropsychology and Physiological Psychology 44
  • Health 80
  • Social Psychology 93
  • Endocrinology, Diabetes and Metabolism 55
  • Human-Computer Interaction 20
Replace Anna-Karin Olsson with:
Anna-Karin Olsson Sweden
Chun‐Te Lee Taiwan
Liyuan Ye China
Bob Lee United States
Sara Nelson United Kingdom
Jeehoon Kim United States
Lili Xie China
Cecilia Pettersson Sweden
Yingxin Zhang China
Jennifer B. Hassell Australia
Chao-Nan Chen relative to Anna-Karin Olsson Sweden Anna-Karin Olsson's profile →
Citations per field
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Anna-Karin Olsson · 1×
Citations per year

Countries citing papers authored by Chao-Nan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Nan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001163
2 201759
3 202041
4 201537
5 202224
6 202224
7 201615
8 201612
9 201511
10 20039
11 20068
12 20057
13 20246
14 20226
15 20225
16 20245
17 20195
18 20085
19 20215
20 20195

About Chao-Nan Chen

Chao-Nan Chen is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Sociology and Political Science and Molecular Biology, having authored 31 papers that have together received 473 indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (6 papers), Intergenerational Family Dynamics and Caregiving (3 papers), Advanced Photocatalysis Techniques (2 papers), Migration, Aging, and Tourism Studies (2 papers), Silicon Nanostructures and Photoluminescence (2 papers), Hydrology and Sediment Transport Processes (2 papers), ZnO doping and properties (2 papers) and TiO2 Photocatalysis and Solar Cells (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (44 citations), Health (80 citations), Social Psychology (93 citations), Endocrinology, Diabetes and Metabolism (55 citations) and Human-Computer Interaction (20 citations). Chao-Nan Chen has collaborated with scholars based in Taiwan, China and Nepal. Frequent co-authors include Jung-Jie Huang, Yuh-Shihng Chang, Dong‐Sing Wuu, Zhiyu Han, Fangyi Liu, Jie Yu, Zhigang Cheng, Ping Liang, Xiaoling Yu and Bei Wang. Their work appears in journals such as Thin Solid Films, Social Indicators Research, International Journal of Hyperthermia, Japanese Journal of Applied Physics and European Radiology Experimental.

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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