Yuling Sun
Impact in
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction
- Demography top 5%
- Technology Use by Older Adults
Papers in
- Demography 11
- Technology Use by Older Adults 11
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- Geriatric Care and Nursing Homes 4
- Co-authors
- Silvia Lindtner (5 shared papers)Ning Gu (3 shared papers)Liang He (16 shared papers)Tun Lu (3 shared papers)Xianghua Ding (2 shared papers)Xiaojuan Ma (9 shared papers)Xiaodong Yuan (2 shared papers)Ray Lc (1 shared paper)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (7 papers)World Neurosurgery (1 paper)International Journal of Molecular Sciences (1 paper)Experimental Biology and Medicine (1 paper)Clinical Neurology and Neurosurgery (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yuling Sun
36 papers receiving 255 citations
Peers
Comparison fields: 5 of 82
- Human-Computer Interaction 63
- Demography 81
- Applied Microbiology and Biotechnology 9
- Computer Science Applications 23
- Museology 13
Countries citing papers authored by Yuling Sun
This map shows the geographic impact of Yuling Sun'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 Yuling Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuling Sun more than expected).
Fields of papers citing papers by Yuling Sun
This network shows the impact of papers produced by Yuling Sun. 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 Yuling Sun. The network helps show where Yuling Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuling Sun, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 50 | |
| 2 | 2022 | 25 | |
| 3 | 2018 | 21 | |
| 4 | 2023 | 21 | |
| 5 | 2014 | 20 | |
| 6 | 2012 | 14 | |
| 7 | 2020 | 12 | |
| 8 | 2023 | 8 | |
| 9 | 2017 | 8 | |
| 10 | 2018 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2017 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2023 | 3 |
About Yuling Sun
Yuling Sun is a scholar working on Demography, General Health Professions, Artificial Intelligence, Sociology and Political Science and Psychiatry and Mental health, having authored 39 papers that have together received 258 indexed citations. Recurring topics across this work include Technology Use by Older Adults (11 papers), Dementia and Cognitive Impairment Research (6 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Innovative Human-Technology Interaction (4 papers), Intergenerational Family Dynamics and Caregiving (4 papers), Geriatric Care and Nursing Homes (4 papers), Data Stream Mining Techniques (3 papers) and Personal Information Management and User Behavior (2 papers). The work is most often cited by research in Human-Computer Interaction (63 citations), Demography (81 citations), Applied Microbiology and Biotechnology (9 citations), Computer Science Applications (23 citations) and Museology (13 citations). Yuling Sun has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Silvia Lindtner, Ning Gu, Liang He, Tun Lu, Xianghua Ding, Xiaojuan Ma, Xiaodong Yuan, Ray Lc, Ping Zhao and Xinru Tang. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, World Neurosurgery, International Journal of Molecular Sciences, Experimental Biology and Medicine and Clinical Neurology and Neurosurgery.
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.