Sena Chae
Impact in
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- Nursing Diagnosis and Documentation
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Geriatric Care and Nursing Homes 4
- Epidemiology 11
- Chronic Disease Management Strategies 11
- Co-authors
- Jiyoun Song (17 shared papers)Maxim Topaz (14 shared papers)Kathryn H. Bowles (13 shared papers)Margaret V. McDonald (13 shared papers)Sue Moorhead (4 shared papers)Sridevi Sridharan (9 shared papers)Yolanda Barrón (9 shared papers)Hyunkyoung Oh (4 shared papers)
- Journals
- Journal of the American Medical Informatics Association (4 papers)Journal of Advanced Nursing (2 papers)Journal of Pain and Symptom Management (1 paper)Research in Nursing & Health (1 paper)Nursing Research (1 paper)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Sena Chae
29 papers receiving 252 citations
Peers
Comparison fields: 5 of 69
- Issues, ethics and legal aspects 40
- Health Informatics 28
- Leadership and Management 14
- Health Information Management 47
- Geriatrics and Gerontology 19
Countries citing papers authored by Sena Chae
This map shows the geographic impact of Sena Chae'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 Sena Chae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sena Chae more than expected).
Fields of papers citing papers by Sena Chae
This network shows the impact of papers produced by Sena Chae. 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 Sena Chae. The network helps show where Sena Chae may publish in the future.
Co-authors
The 25 scholars most cited alongside Sena Chae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 29 | |
| 2 | 2022 | 26 | |
| 3 | 2017 | 23 | |
| 4 | 2020 | 21 | |
| 5 | 2015 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2020 | 16 | |
| 8 | 2017 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2011 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 3 | |
| 18 | 2024 | 3 | |
| 19 | Capturing Concerns about Patient Deterioration in Narrative Documentation in Home Healthcare. | 2022 | 3 |
| 20 | 2021 | 3 |
About Sena Chae
Sena Chae is a scholar working on General Health Professions, Epidemiology, Issues, ethics and legal aspects, Artificial Intelligence and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 269 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (11 papers), Nursing Diagnosis and Documentation (8 papers), Machine Learning in Healthcare (6 papers), Frailty in Older Adults (5 papers), Heart Failure Treatment and Management (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Geriatric Care and Nursing Homes (4 papers) and Electronic Health Records Systems (3 papers). The work is most often cited by research in Issues, ethics and legal aspects (40 citations), Health Informatics (28 citations), Leadership and Management (14 citations), Health Information Management (47 citations) and Geriatrics and Gerontology (19 citations). Sena Chae has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Jiyoun Song, Maxim Topaz, Kathryn H. Bowles, Margaret V. McDonald, Sue Moorhead, Sridevi Sridharan, Yolanda Barrón, Hyunkyoung Oh, Mollie Hobensack and Sarah Collins Rossetti. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Advanced Nursing, Journal of Pain and Symptom Management, Research in Nursing & Health and Nursing 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.