Ling‐Hui Chang

472 citations
31 papers · 342 · h-index 11

Impact in

Papers in

Ling‐Hui Chang

30 papers receiving 332 citations

Peers

Ling‐Hui Chang
Comparison fields: 5 of 80
  • Geriatrics and Gerontology 56
  • Psychiatry and Mental health 146
  • Occupational Therapy 31
  • Neuropsychology and Physiological Psychology 10
  • Rehabilitation 39
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Lindsey Brett Australia
Marzieh Pashmdarfard Iran
Heather Fritz United States
Elisabeth Bürge Switzerland
Jackie Pool United Kingdom
Remco Tuijt United Kingdom
Shlomit Rotenberg Canada
Alessandro Ferrari Jacinto Brazil
Yan‐Chiou Ku Taiwan
Deok-Ju Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Ling‐Hui Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Hui Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ling‐Hui Chang, 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 Ling‐Hui Chang Line = papers co-authored together Ling‐Hui Chang 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 200946
2 201840
3 201734
4 201432
5 201023
6 201823
7 202021
8 199820
9 202114
10 202110
11 201710
12 20229
13 20218
14 20097
15 20095
16 20215
17 20195
18 20125
19 20164
20 20184

About Ling‐Hui Chang

Ling‐Hui Chang is a scholar working on Psychiatry and Mental health, General Health Professions, Geriatrics and Gerontology, Health and Clinical Psychology, having authored 31 papers that have together received 342 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (13 papers), Geriatric Care and Nursing Homes (9 papers), Frailty in Older Adults (6 papers), Health disparities and outcomes (5 papers), Intergenerational Family Dynamics and Caregiving (4 papers), Health and Wellbeing Research (3 papers), Cognitive Functions and Memory (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Geriatrics and Gerontology (56 citations), Psychiatry and Mental health (146 citations), Occupational Therapy (31 citations), Neuropsychology and Physiological Psychology (10 citations) and Rehabilitation (39 citations). Ling‐Hui Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hui‐Fen Mao, Lynn E. Eberly, Robert L Kane, Beth A Virnig, Wen‐Ni Wennie Huang, Betty Risteen Hasselkus, Hui‐Ing Ma, Grace Yao, Ching‐Min Chen and Ming‐Jang Chiu. Their work appears in journals such as American Journal of Occupational Therapy, PLoS ONE, Health Care For Women International, Journal of Applied Gerontology and Clinical Rehabilitation.

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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