Ya-Huei Wu
- Demography top 0.5%
- Social Psychology top 5%
- Psychiatry and Mental health top 5%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Anne‐Sophie RigaudChristine FassertSouad DamnéeHélène KerhervéJocelyne de RotrouV. FaucounauVictoria Cristancho‐LacroixCaitlin Ware
- Topics
- Dementia and Cognitive Impairment Research (17 papers)Technology Use by Older Adults (14 papers)Social Robot Interaction and HRI (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Geriatric Psychiatry
- Partner nations
- FranceNetherlandsChina
In The Last Decade
Ya-Huei Wu
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Demography 464
- Social Psychology 367
- Psychiatry and Mental health 323
- Artificial Intelligence 272
- Cognitive Neuroscience 176
Countries citing papers authored by Ya-Huei Wu
This map shows the geographic impact of Ya-Huei Wu'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 Ya-Huei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya-Huei Wu more than expected).
Fields of papers citing papers by Ya-Huei Wu
This network shows the impact of papers produced by Ya-Huei Wu. 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 Ya-Huei Wu. The network helps show where Ya-Huei Wu may publish in the future.
Co-authorship network of co-authors of Ya-Huei Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Ya-Huei Wu. A scholar is included among the top collaborators of Ya-Huei Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ya-Huei Wu. Ya-Huei Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 36 | |
| 4 | 43 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 22 | |
| 8 | 61 | |
| 9 | 6 | |
| 10 | 11 | |
| 11 | 159 | |
| 12 | 184 | |
| 13 | 2 | |
| 14 | 121 | |
| 15 | 32 | |
| 16 | Contribution of the Living Lab approach to the development, assessment and provision of assistive technologies for supporting older adults with cognitive disorders. | 7 |
| 17 | 10 | |
| 18 | 29 | |
| 19 | 15 | |
| 20 | 71 |
About Ya-Huei Wu
Ya-Huei Wu is a scholar working on Geriatrics and Gerontology, Occupational Therapy and Demography, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (17 papers), Technology Use by Older Adults (14 papers) and Social Robot Interaction and HRI (7 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (67 citations), Demography (464 citations) and Occupational Therapy (112 citations). Ya-Huei Wu has collaborated with scholars based in France, Netherlands and China. Frequent co-authors include Anne‐Sophie Rigaud, Christine Fassert, Souad Damnée, Hélène Kerhervé, Jocelyne de Rotrou, V. Faucounau, Victoria Cristancho‐Lacroix, Caitlin Ware, Jérémy Wrobel and Anne‐Sophie Rigaud. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Geriatric Psychiatry.
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.