Chia‐Ling Lin

502 citations
32 papers · 287 · h-index 11

Impact in

Papers in

Chia‐Ling Lin

22 papers receiving 281 citations

Peers

Chia‐Ling Lin
Comparison fields: 5 of 99
  • Experimental and Cognitive Psychology 125
  • Endocrine and Autonomic Systems 34
  • Geriatrics and Gerontology 14
  • Cognitive Neuroscience 63
  • Health Informatics 4
Replace Farzane Saeidifard with:
Farzane Saeidifard United States
Jennifer M. Bowers United States
Navya Baranwal United States
Rashmi Supriya Hong Kong
Bruce Hellman United Kingdom
Sarah K. Hunt United States
Antonio Ascione Italy
Qijuan Wang China
Tim Lindsay United Kingdom
Xinxin Liu Japan
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Citations per field
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Citations per year

Countries citing papers authored by Chia‐Ling Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ling Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201745
2 201937
3 201619
4 201319
5 202119
6 201618
7 202018
8 201816
9 201814
10 202114
11 201513
12 20159
13 20168
14 20178
15 20217
16 20177
17 20214
18 20134
19 20143
20
[Nursing care of patients fitted with a tracheostomy speaking valve].
20062

About Chia‐Ling Lin

Chia‐Ling Lin is a scholar working on Experimental and Cognitive Psychology, Physiology, Cognitive Neuroscience, Epidemiology and General Health Professions, having authored 32 papers that have together received 287 indexed citations. Recurring topics across this work include Sleep and related disorders (11 papers), Sleep and Wakefulness Research (6 papers), Obstructive Sleep Apnea Research (4 papers), Nutrition and Health in Aging (4 papers), Sleep and Work-Related Fatigue (3 papers), Body Composition Measurement Techniques (3 papers), Obesity, Physical Activity, Diet (3 papers) and Frailty in Older Adults (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (125 citations), Endocrine and Autonomic Systems (34 citations), Geriatrics and Gerontology (14 citations), Cognitive Neuroscience (63 citations) and Health Informatics (4 citations). Chia‐Ling Lin has collaborated with scholars based in Taiwan, Thailand and South Korea. Frequent co-authors include Chi‐Hsiang Chung, Yu‐Hsia Tsai, Wu‐Chien Chien, Mei Chang Yeh, Edward Wang, Yani Wang, Neng Yu, Shuwen Chen, Chalong Cheewakriangkrai and Chia‐Hung Kao. Their work appears in journals such as Medicine, International Journal of Environmental Research and Public Health, Journal of Nursing Scholarship, International Journal of Medical Sciences and Injury Prevention.

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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