Keping Yang

709 citations
21 papers · 529 · h-index 12

Impact in

Papers in

Keping Yang

20 papers receiving 472 citations

Peers

Keping Yang
Comparison fields: 5 of 99
  • Research and Theory 37
  • Leadership and Management 19
  • Health 87
  • Demography 79
  • Organizational Behavior and Human Resource Management 44
Replace Cheng‐I Chu with:
Cheng‐I Chu Taiwan
Ali Dehghani Iran
Nasrin Elahi Iran
Joanna Burzyńska Poland
Nikolina Farčić Croatia
Yasuko Ogata Japan
Nelson Ositadimma Oranye Canada
Özge Uzun Türkiye
Hui‐Man Huang Taiwan
Keping Yang relative to Cheng‐I Chu Taiwan Cheng‐I Chu's profile →
Citations per field
00.5×3.4×
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

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002140
2 200675
3 200347
4 201840
5 200640
6 201339
7 201828
8 202422
9 200521
10 200920
11 200214
12 202012
13 200910
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 20251
20 19981

About Keping Yang

Keping Yang is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine, Clinical Psychology, Sociology and Political Science and Research and Theory, having authored 21 papers that have together received 529 indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (5 papers), Nursing education and management (2 papers), Health and Wellbeing Research (2 papers), Workplace Spirituality and Leadership (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Palliative Care and End-of-Life Issues (2 papers), Intergenerational Family Dynamics and Caregiving (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Research and Theory (37 citations), Leadership and Management (19 citations), Health (87 citations), Demography (79 citations) and Organizational Behavior and Human Resource Management (44 citations). Keping Yang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Xin Li, Wenjun Guan, Hongtao Lu, Tsu‐Yin Wu, Nola J. Pender, Gautam Sethi, Zhaowu Ma, Lingzhi Wang, Dazhu Li and Boyuan Wang. Their work appears in journals such as Journal of Nursing Research, International Journal of Nursing Studies, Medicine, Journal of Cardiovascular Pharmacology and Therapeutics and OJIN The Online Journal of Issues in Nursing.

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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