Li‐Ling Liao

576 citations
38 papers · 372 · h-index 12

Impact in

Papers in

    • Health Literacy and Information Accessibility 7
    • Mobile Health and mHealth Applications 4
    • Health, psychology, and well-being 3
    • Ophthalmology and Visual Impairment Studies 8

Li‐Ling Liao

32 papers receiving 366 citations

Peers

Li‐Ling Liao
Comparison fields: 5 of 75
  • Health Informatics 23
  • General Health Professions 164
  • Speech and Hearing 38
  • Public Health, Environmental and Occupational Health 107
  • Emergency Medical Services 26
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Citations per year

Countries citing papers authored by Li‐Ling Liao

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Ling Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201673
2 201941
3 202137
4 201726
5 201721
6 202018
7 201914
8 202413
9 201813
10 202112
11 201712
12 201911
13 202410
14 20127
15 20237
16 20236
17 20156
18 20185
19 20185
20 20245

About Li‐Ling Liao

Li‐Ling Liao is a scholar working on General Health Professions, Epidemiology, Health Informatics, Clinical Psychology and Sociology and Political Science, having authored 38 papers that have together received 372 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (8 papers), Health Literacy and Information Accessibility (7 papers), Artificial Intelligence in Healthcare and Education (6 papers), School Health and Nursing Education (5 papers), Mobile Health and mHealth Applications (4 papers), Corneal surgery and disorders (4 papers), Behavioral Health and Interventions (3 papers) and Health, psychology, and well-being (3 papers). The work is most often cited by research in Health Informatics (23 citations), General Health Professions (164 citations), Speech and Hearing (38 citations), Public Health, Environmental and Occupational Health (107 citations) and Emergency Medical Services (26 citations). Li‐Ling Liao has collaborated with scholars based in Taiwan and Australia. Frequent co-authors include Li‐Chun Chang, Chia‐Kuei Lee, Shu‐Fang Shih, Richard H. Osborne, Chieh-Hsing Liu, Hui‐Ling Lin, Chi‐Chin Sun, Jong‐Long Guo, Yani Wang and Su-Ying Tsai. Their work appears in journals such as The Journal of School Nursing, International Journal of Environmental Research and Public Health, Health Education Research, Health Promotion International and Nutrients.

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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