Ching‐Yi Wu

13.7k total citations
370 papers, 10.3k citations indexed

About

Ching‐Yi Wu is a scholar working on Rehabilitation, Psychiatry and Mental health and Neurology. According to data from OpenAlex, Ching‐Yi Wu has authored 370 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Rehabilitation, 100 papers in Psychiatry and Mental health and 63 papers in Neurology. Recurrent topics in Ching‐Yi Wu's work include Stroke Rehabilitation and Recovery (145 papers), Cerebral Palsy and Movement Disorders (79 papers) and Botulinum Toxin and Related Neurological Disorders (56 papers). Ching‐Yi Wu is often cited by papers focused on Stroke Rehabilitation and Recovery (145 papers), Cerebral Palsy and Movement Disorders (79 papers) and Botulinum Toxin and Related Neurological Disorders (56 papers). Ching‐Yi Wu collaborates with scholars based in Taiwan, United States and China. Ching‐Yi Wu's co-authors include Keh‐chung Lin, Herbert H. Hill, Chia‐Ling Chen, Yu‐Wei Hsieh, William F. Siems, Hsieh‐Ching Chen, Li-Ling Chuang, Catherine A. Trombly, Jung‐Sen Liu and Wei‐Hsien Hong and has published in prestigious journals such as Angewandte Chemie International Edition, Circulation and Applied Physics Letters.

In The Last Decade

Ching‐Yi Wu

352 papers receiving 10.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ching‐Yi Wu Taiwan 56 4.5k 2.6k 2.3k 1.6k 1.6k 370 10.3k
Kenji Ishii Japan 58 571 0.1× 2.0k 0.8× 1.7k 0.7× 686 0.4× 165 0.1× 508 15.2k
Placido Bramanti Italy 73 2.0k 0.4× 3.1k 1.2× 3.3k 1.5× 1.3k 0.8× 69 0.0× 755 22.6k
Kevin E. Yarasheski United States 65 1.1k 0.3× 1.4k 0.5× 508 0.2× 432 0.3× 152 0.1× 189 16.8k
Jin‐Moo Lee United States 57 861 0.2× 1.2k 0.4× 2.1k 0.9× 620 0.4× 99 0.1× 337 15.7k
Christopher Chen Singapore 69 904 0.2× 5.1k 2.0× 3.1k 1.4× 357 0.2× 142 0.1× 617 23.2k
Graham J. Kemp United Kingdom 67 403 0.1× 993 0.4× 699 0.3× 890 0.5× 252 0.2× 424 15.2k
Ronenn Roubenoff United States 82 1.4k 0.3× 1.8k 0.7× 383 0.2× 1.2k 0.8× 78 0.0× 239 23.4k
Marc Fisher United States 74 2.1k 0.5× 748 0.3× 3.9k 1.7× 520 0.3× 98 0.1× 340 20.6k
Sue E. Leurgans United States 78 595 0.1× 6.4k 2.5× 5.5k 2.4× 614 0.4× 76 0.0× 334 20.7k
Jeffrey Gornbein United States 53 825 0.2× 5.3k 2.0× 1.9k 0.9× 347 0.2× 46 0.0× 176 14.9k

Countries citing papers authored by Ching‐Yi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Yi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Yi 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 Ching‐Yi Wu. The network helps show where Ching‐Yi Wu may publish in the future.

Co-authorship network of co-authors of Ching‐Yi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Yi Wu. A scholar is included among the top collaborators of Ching‐Yi 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 Ching‐Yi Wu. Ching‐Yi Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Wang, Chih‐Hung, Ching‐Yi Wu, Yuchen Wu, et al.. (2024). Application of Machine Learning to Ultrasonography in Identifying Anatomical Landmarks for Cricothyroidotomy Among Female Adults: A Multi-center Prospective Observational Study. Journal of Imaging Informatics in Medicine. 37(1). 363–373.
4.
Wu, Ching‐Yi, et al.. (2023). Predictors of Academic and Fieldwork Performance in Occupational Therapy Students: A Systematic Review. Occupational Therapy International. 2023. 1–12.
5.
Lee, Tsong‐Hai, et al.. (2023). Localization of early infarction on non-contrast CT images in acute ischemic stroke with deep learning approach. Scientific Reports. 13(1). 19442–19442. 8 indexed citations
6.
Wu, Ching‐Yi & Ing‐Shiou Hwang. (2022). Visual occlusion effects on bipedal stance control in Chinese-speaking children with dyslexia. Neuroscience Letters. 782. 136678–136678. 3 indexed citations
8.
Thakkar, Hiren Kumar, Wan-Wen Liao, Ching‐Yi Wu, Yu‐Wei Hsieh, & Tsong‐Hai Lee. (2020). Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches. Journal of NeuroEngineering and Rehabilitation. 17(1). 131–131. 36 indexed citations
9.
Wu, Ching‐Yi, et al.. (2017). Initial experiences with a new design for a preattached intravenous port device. Journal of Biomedical Materials Research Part B Applied Biomaterials. 106(3). 1017–1027. 3 indexed citations
10.
Chen, Chih‐Jung, Fang‐Tzy Wu, Yhu‐Chering Huang, et al.. (2015). Clinical and Epidemiologic Features of Severe Viral Gastroenteritis in Children. Medicine. 94(33). e1372–e1372. 35 indexed citations
11.
Lee, Ya‐Yun, et al.. (2015). Combining Afferent Stimulation and Mirror Therapy for Improving Muscular, Sensorimotor, and Daily Functions After Chronic Stroke. American Journal of Physical Medicine & Rehabilitation. 94(10S). 859–868. 20 indexed citations
12.
Chen, Chia‐Ling, et al.. (2013). Clinimetric properties of the Assessment of Preschool Children's Participation in children with cerebral palsy. Research in Developmental Disabilities. 34(5). 1528–1535. 15 indexed citations
13.
Midey, Anthony J., et al.. (2013). High-performance ion mobility spectrometry with direct electrospray ionization (ESI-HPIMS) for the detection of additives and contaminants in food. Analytica Chimica Acta. 804. 197–206. 34 indexed citations
15.
Chen, Chia‐Ling, Keh‐chung Lin, Ching‐Yi Wu, et al.. (2011). Developmental Profiles and Temperament Patterns in Children With Spastic Cerebral Palsy: Relationships With Subtypes and Severity. Journal of the Formosan Medical Association. 110(8). 527–536. 8 indexed citations
16.
Wu, Ching‐Yi, Li-Ling Chuang, Keh‐chung Lin, Shin‐Da Lee, & Wei‐Hsien Hong. (2011). Responsiveness, Minimal Detectable Change, and Minimal Clinically Important Difference of the Nottingham Extended Activities of Daily Living Scale in Patients With Improved Performance After Stroke Rehabilitation. Archives of Physical Medicine and Rehabilitation. 92(8). 1281–1287. 66 indexed citations
17.
Lee, Ya‐Chen, Ching‐Yi Wu, Mei‐Yun Liaw, et al.. (2010). Developmental Profiles of Preschool Children With Spastic Diplegic and Quadriplegic Cerebral Palsy. The Kaohsiung Journal of Medical Sciences. 26(7). 341–349. 15 indexed citations
18.
Lin, Keh‐chung, Ching‐Yi Wu, Ho‐Ling Liu, et al.. (2010). Constraint-Induced Therapy Versus Control Intervention in Patients with Stroke. American Journal of Physical Medicine & Rehabilitation. 89(3). 177–185. 54 indexed citations
19.
Chen, Hsieh‐Ching, et al.. (2009). Pointing Device Usage Guidelines for People With Quadriplegia: A Simulation and Validation Study Utilizing an Integrated Pointing Device Apparatus. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 17(3). 279–286. 6 indexed citations
20.
Wu, Ching‐Yi. (2006). Blogs in TEFL: A New Promising Vehicle *. US-China education review. 3(5). 69–73. 12 indexed citations

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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