Nai‐Ching Chi

39 papers receiving 794 citations

Hit Papers

A systematic review of telehealth tools and interventions to support family caregivers 2014 · 273 citations
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Peers

Nai‐Ching Chi
Comparison fields: 5 of 93
  • Health Informatics 23
  • Anesthesiology and Pain Medicine 91
  • Radiological and Ultrasound Technology 71
  • Applied Psychology 57
  • Public Health, Environmental and Occupational Health 326
Replace Pirjo Kaakinen with:
Pirjo Kaakinen Finland
Mu‐Hsing Ho Hong Kong
Tanya Mailhot Canada
Jing Jing Su Hong Kong
Ruth Palan Lopez United States
Jennifer Kirsty Burton United Kingdom
Antonia Arnaert Canada
Merdiye Şendir Türkiye
Sharyn Hunter Australia
Mette Grønkjær Denmark
Nai‐Ching Chi relative to Pirjo Kaakinen Finland Pirjo Kaakinen's profile →
Citations per field
00.5×4.7×
Pirjo Kaakinen · 1×
Citations per year

Countries citing papers authored by Nai‐Ching Chi

Since Specialization
Citations

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

Fields of papers citing papers by Nai‐Ching Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nai‐Ching Chi. 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 Nai‐Ching Chi. The network helps show where Nai‐Ching Chi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20245
3 20240
4 20238
5 202343
6 20239
7 20232
8 20230
9 20222
10 202024
11 201917
12 201911
13 20181
14 201813
15 20186
16 201735
17 201732
18 20173
19 201613
20 201310

About Nai‐Ching Chi

Nai‐Ching Chi is a scholar working on Anesthesiology and Pain Medicine, Neuropsychology and Physiological Psychology, Research and Theory, Radiological and Ultrasound Technology and Health Informatics, having authored 41 papers that have together received 812 indexed citations. Recurring topics across this work include Pain Management and Opioid Use (11 papers), Palliative Care and End-of-Life Issues (11 papers), Pediatric Pain Management Techniques (6 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Family Support in Illness (4 papers), Technology Use by Older Adults (4 papers), Family and Patient Care in Intensive Care Units (4 papers) and Chronic Disease Management Strategies (3 papers). The work is most often cited by research in Health Informatics (23 citations), Anesthesiology and Pain Medicine (91 citations), Radiological and Ultrasound Technology (71 citations), Applied Psychology (57 citations) and Public Health, Environmental and Occupational Health (326 citations). Nai‐Ching Chi has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include George Demiris, Keela Herr, Stephanie Gilbertson‐White, Shih‐Yin Lin, Hilaire J. Thompson, Karla T. Washington, Debra Parker Oliver, Shelby L. Langer, Amy Walker and Frances Marcus Lewis. Their work appears in journals such as Innovation in Aging, Supportive Care in Cancer, Journal of Pain and Symptom Management, Alzheimer s & Dementia and Journal of Telemedicine and Telecare.

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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