Nan‐Ying Yu

659 total citations
27 papers, 490 citations indexed

About

Nan‐Ying Yu is a scholar working on Education, Developmental and Educational Psychology and Biomedical Engineering. According to data from OpenAlex, Nan‐Ying Yu has authored 27 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Education, 10 papers in Developmental and Educational Psychology and 8 papers in Biomedical Engineering. Recurrent topics in Nan‐Ying Yu's work include Writing and Handwriting Education (12 papers), Muscle activation and electromyography studies (8 papers) and Reading and Literacy Development (6 papers). Nan‐Ying Yu is often cited by papers focused on Writing and Handwriting Education (12 papers), Muscle activation and electromyography studies (8 papers) and Reading and Literacy Development (6 papers). Nan‐Ying Yu collaborates with scholars based in Taiwan and United States. Nan‐Ying Yu's co-authors include Shao‐Hsia Chang, Gwo-Ching Chang, Arend W. A. Van Gemmert, Yu‐Ching Lin, Ming‐Shaung Ju, Chien‐Liang Chen, Jia‐Jin Chen, Jia‐Jin Jason Chen and Ting-Yu Lin and has published in prestigious journals such as Scientific Reports, Developmental Medicine & Child Neurology and Behavior Research Methods.

In The Last Decade

Nan‐Ying Yu

25 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan‐Ying Yu Taiwan 13 179 170 154 130 100 27 490
Shao‐Hsia Chang Taiwan 13 185 1.0× 180 1.1× 113 0.7× 22 0.2× 97 1.0× 28 408
Chiara Valeria Marinelli Italy 18 500 2.8× 180 1.1× 632 4.1× 29 0.2× 82 0.8× 61 1.1k
Jérémy Danna France 13 232 1.3× 217 1.3× 245 1.6× 26 0.2× 59 0.6× 37 593
Régis Thouvarecq France 15 169 0.9× 17 0.1× 188 1.2× 138 1.1× 38 0.4× 38 657
Lara Mecklinger Germany 8 77 0.4× 57 0.3× 254 1.6× 14 0.1× 249 2.5× 8 467
Ashley S. Bangert United States 12 154 0.9× 68 0.4× 589 3.8× 32 0.2× 117 1.2× 21 820
Claude-Alain Hauert Switzerland 17 143 0.8× 48 0.3× 833 5.4× 65 0.5× 35 0.3× 23 964
Marion Funk Switzerland 6 147 0.8× 20 0.1× 218 1.4× 43 0.3× 42 0.4× 7 374
Elisabeth V. C. Friedrich Austria 16 50 0.3× 26 0.2× 698 4.5× 79 0.6× 64 0.6× 28 778
Breanna Erin Studenka United States 12 129 0.7× 15 0.1× 421 2.7× 67 0.5× 35 0.3× 34 580

Countries citing papers authored by Nan‐Ying Yu

Since Specialization
Citations

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

Fields of papers citing papers by Nan‐Ying Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan‐Ying Yu. 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 Nan‐Ying Yu. The network helps show where Nan‐Ying Yu may publish in the future.

Co-authorship network of co-authors of Nan‐Ying Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Nan‐Ying Yu. A scholar is included among the top collaborators of Nan‐Ying Yu 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 Nan‐Ying Yu. Nan‐Ying Yu 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
1.
Chang, Shao‐Hsia, et al.. (2024). The relevance of motor sequence and visual perception skills in learning Chinese handwriting. Child Neuropsychology. 30(8). 1260–1273.
2.
Yu, Nan‐Ying & Shao‐Hsia Chang. (2018). Characterization of the fine motor problems in patients with cognitive dysfunction – A computerized handwriting analysis. Human Movement Science. 65. 71–79. 30 indexed citations
3.
Chang, Shao‐Hsia & Nan‐Ying Yu. (2017). Development and validation of the comprehensive praxis assessment for children aged 6–8. Human Movement Science. 57. 332–341. 4 indexed citations
4.
Chang, Shao‐Hsia & Nan‐Ying Yu. (2017). Visual and Haptic Perception Training to Improve Handwriting Skills in Children With Dysgraphia. American Journal of Occupational Therapy. 71(2). 7102220030p1–7102220030p10. 15 indexed citations
5.
Yu, Nan‐Ying, Arend W. A. Van Gemmert, & Shao‐Hsia Chang. (2016). Characterization of graphomotor functions in individuals with Parkinson’s disease and essential tremor. Behavior Research Methods. 49(3). 913–922. 14 indexed citations
6.
Chang, Shao‐Hsia & Nan‐Ying Yu. (2016). Comparison of motor praxis and performance in children with varying levels of developmental coordination disorder. Human Movement Science. 48. 7–14. 15 indexed citations
7.
Yu, Nan‐Ying, et al.. (2015). Exploring the dominant-hand effect using a multi-scale SEMG energy model. 283–286. 1 indexed citations
8.
Chang, Shao‐Hsia, Chien‐Liang Chen, & Nan‐Ying Yu. (2015). Biomechanical analyses of prolonged handwriting in subjects with and without perceived discomfort. Human Movement Science. 43. 1–8. 7 indexed citations
9.
Chang, Shao‐Hsia & Nan‐Ying Yu. (2014). The effect of computer-assisted therapeutic practice for children with handwriting deficit: A comparison with the effect of the traditional sensorimotor approach. Research in Developmental Disabilities. 35(7). 1648–1657. 28 indexed citations
10.
Chang, Shao‐Hsia & Nan‐Ying Yu. (2013). Handwriting movement analyses comparing first and second graders with normal or dysgraphic characteristics. Research in Developmental Disabilities. 34(9). 2433–2441. 40 indexed citations
11.
Lin, Yu‐Ching, et al.. (2012). Multi-Scale Surface Electromyography Modeling to Identify Changes in Neuromuscular Activation With Myofascial Pain. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 21(1). 88–95. 12 indexed citations
12.
13.
Yu, Nan‐Ying & Shao‐Hsia Chang. (2010). The Characterization of Contractile and Myoelectric Activities in Paralyzed Tibialis Anterior Post Electrically Elicited Muscle Fatigue. Artificial Organs. 34(4). E117–21. 11 indexed citations
14.
Chang, Shao‐Hsia, et al.. (2009). The Preliminary Development of Computer-Assisted Assessment of Chinese Handwriting Performance. Perceptual and Motor Skills. 108(3). 887–904. 12 indexed citations
15.
Chang, Shao‐Hsia & Nan‐Ying Yu. (2009). Characterization of motor control in handwriting difficulties in children with or without developmental coordination disorder. Developmental Medicine & Child Neurology. 52(3). 244–250. 74 indexed citations
16.
Chang, Shao‐Hsia & Nan‐Ying Yu. (2009). Discriminant Validity of the Visual Motor Integration Test in Screening Children with Handwriting Dysfunction. Perceptual and Motor Skills. 109(3). 770–782. 6 indexed citations
17.
Chang, Shao‐Hsia & Nan‐Ying Yu. (2005). Evaluation and Classification of Types of Chinese Handwriting Deficits in Elementary Schoolchildren. Perceptual and Motor Skills. 101(2). 631–647. 23 indexed citations
18.
Yu, Nan‐Ying, Jia‐Jin Chen, & Ming‐Shaung Ju. (1999). Study of the electrically evoked EMG and torque output during the muscle fatigue process in FES-induced static and dynamic contractions. 9(1). 11–18. 6 indexed citations
19.
Yu, Nan‐Ying, et al.. (1997). The validity of stimulus-evoked EMG for studying muscle fatigue characteristics of paraplegic subjects during dynamic cycling movement. IEEE Transactions on Rehabilitation Engineering. 5(2). 170–178. 23 indexed citations
20.
Yu, Nan‐Ying, et al.. (1997). Applying fuzzy logic to control cycling movement induced by functional electrical stimulation. IEEE Transactions on Rehabilitation Engineering. 5(2). 158–169. 96 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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