Chia-Ming Li

21 papers receiving 517 citations

Peers

Chia-Ming Li
Comparison fields: 5 of 104
  • Geriatrics and Gerontology 155
  • Health 73
  • Physiology 178
  • General Health Professions 173
  • Physical Therapy, Sports Therapy and Rehabilitation 22
Replace Chi‐Hsien Huang with:
Chi‐Hsien Huang Taiwan
Felicity Dewhurst United Kingdom
Michelle S. Keller United States
Joe Hollinghurst United Kingdom
Boon Peng Ng United States
Margriet Pol Netherlands
April P. Semilla United States
Sakiko Fukui Japan
Kim Lim Australia
Bruno Heleno Portugal
Chia-Ming Li relative to Chi‐Hsien Huang Taiwan Chi‐Hsien Huang's profile →
Citations per field
00.5×9.3×
Chi‐Hsien Huang · 1×
Citations per year

Countries citing papers authored by Chia-Ming Li

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Ming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Ming Li. 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-Ming Li. The network helps show where Chia-Ming Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018179
2 201099
3 201685
4 201230
5 202126
6 201717
7 201915
8 202015
9 202010
10 20179
11
An Adjustable and Reversible Data Hiding Method Based on Multiple-base Notational System without Location Map
20158
12 20176
13 20076
14 20185
15 20175
16 20204
17 20164
18 20242
19 20152
20 20061

About Chia-Ming Li

Chia-Ming Li is a scholar working on Geriatrics and Gerontology, Physiology, General Health Professions, Economics and Econometrics and Sociology and Political Science, having authored 22 papers that have together received 529 indexed citations. Recurring topics across this work include Frailty in Older Adults (8 papers), Nutrition and Health in Aging (7 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Global Health Care Issues (2 papers), Palliative Care and End-of-Life Issues (2 papers), Mobile Learning in Education (2 papers), Chronic Disease Management Strategies (2 papers) and Geriatric Care and Nursing Homes (2 papers). The work is most often cited by research in Geriatrics and Gerontology (155 citations), Health (73 citations), Physiology (178 citations), General Health Professions (173 citations) and Physical Therapy, Sports Therapy and Rehabilitation (22 citations). Chia-Ming Li has collaborated with scholars based in Taiwan, United Kingdom and Japan. Frequent co-authors include Chin‐Chung Tsai, Jyh‐Chong Liang, Yen‐Yuan Chen, Chung‐Yi Li, Der‐Sheng Han, Shwu‐Chong Wu, Chin‐Ying Chen, Tung‐Wei Kao, Wei‐Shiung Yang and Keh‐Sung Tsai. Their work appears in journals such as Archives of Gerontology and Geriatrics, Journal of Medical Screening, Scientific Reports, Japanese Journal of Applied Physics and Kidney & Blood Pressure Research.

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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