Keping Yang

696 citations
20 papers · 525 · h-index 12

Impact in

Papers in

Keping Yang

19 papers receiving 466 citations

Peers

Keping Yang
Comparison fields: 5 of 106
  • Research and Theory 54
  • Leadership and Management 26
  • Health 115
  • Demography 87
  • Organizational Behavior and Human Resource Management 72
Replace Cheng‐I Chu with:
Cheng‐I Chu Taiwan
Nasrin Elahi Iran
Nelson Ositadimma Oranye Canada
Meriam Caboral‐Stevens United States
Hui‐Man Huang Taiwan
Bok Yae Chung South Korea
Hyun-Jeong Park South Korea
Xue Wu China
Jan Walker United Kingdom
Hsiao‐Mei Chen Taiwan
Keping Yang relative to Cheng‐I Chu Taiwan Cheng‐I Chu's profile →
Citations per field
00.5×3.1×
Cheng‐I Chu · 1×
Citations per year

Countries citing papers authored by Keping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Keping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keping Yang. 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 Keping Yang. The network helps show where Keping Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2002140
2 200675
3 200347
4 201840
5 200640
6 201338
7 201828
8 200921
9 200521
10 202418
11 200214
12 202012
13 200911
14 20229
15 20014
16 19993
17 20192
18
Predictors of nursing sensitive patient outcomes in long-term care facilities in Taiwan, ROC.
19951
19 19981
20 20250

About Keping Yang

Keping Yang is a scholar working on General Health Professions, Health, Cardiology and Cardiovascular Medicine, Sociology and Political Science and Demography, having authored 20 papers that have together received 525 indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (5 papers), Workplace Spirituality and Leadership (3 papers), Religion, Spirituality, and Psychology (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Intergenerational Family Dynamics and Caregiving (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Health and Wellbeing Research (2 papers) and Nursing education and management (2 papers). The work is most often cited by research in Research and Theory (54 citations), Leadership and Management (26 citations), Health (115 citations), Demography (87 citations) and Organizational Behavior and Human Resource Management (72 citations). Keping Yang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Xin Li, Wenjun Guan, Hongtao Lu, Tsu‐Yin Wu, Nola J. Pender, Jie Liu, Zhaowu Ma, Jibin Lin, Shengshuai Shan and Lingzhi Wang. Their work appears in journals such as Journal of Nursing Research, International Journal of Nursing Studies, Circulation Journal, Cell Death Discovery and Medicine.

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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