Kuan‐Lin Chen

1.5k total citations
76 papers, 1.0k citations indexed

About

Kuan‐Lin Chen is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Clinical Psychology. According to data from OpenAlex, Kuan‐Lin Chen has authored 76 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 32 papers in Psychiatry and Mental health and 30 papers in Clinical Psychology. Recurrent topics in Kuan‐Lin Chen's work include Autism Spectrum Disorder Research (31 papers), Family and Disability Support Research (22 papers) and Cerebral Palsy and Movement Disorders (21 papers). Kuan‐Lin Chen is often cited by papers focused on Autism Spectrum Disorder Research (31 papers), Family and Disability Support Research (22 papers) and Cerebral Palsy and Movement Disorders (21 papers). Kuan‐Lin Chen collaborates with scholars based in Taiwan, United States and China. Kuan‐Lin Chen's co-authors include Mei‐Hui Tseng, Chien-Yu Huang, Ching‐Lin Hsieh, Jeng‐Yi Shieh, Lu Lu, Willy Chou, Chien‐Yu Huang, Chia‐Lin Koh, Julie Chi Chow and Fu-Chang Hu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of the American Academy of Child & Adolescent Psychiatry.

In The Last Decade

Kuan‐Lin Chen

68 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuan‐Lin Chen Taiwan 18 432 376 346 194 170 76 1.0k
Mélanie Couture Canada 18 466 1.1× 430 1.1× 452 1.3× 162 0.8× 130 0.8× 79 1.3k
Aaron J. Kaat United States 19 692 1.6× 471 1.3× 737 2.1× 164 0.8× 183 1.1× 102 1.6k
Anne Passmore Australia 20 298 0.7× 185 0.5× 194 0.6× 130 0.7× 166 1.0× 35 1.2k
Sharmila Vaz Australia 22 659 1.5× 331 0.9× 578 1.7× 103 0.5× 347 2.0× 56 1.6k
Connie Sung United States 17 382 0.9× 198 0.5× 416 1.2× 84 0.4× 135 0.8× 60 1000
Brittany N. Hand United States 18 648 1.5× 312 0.8× 1.1k 3.2× 84 0.4× 170 1.0× 73 1.7k
Ying‐Chia Kao United States 12 584 1.4× 657 1.7× 130 0.4× 327 1.7× 79 0.5× 16 1.1k
Raymond C. Tervo United States 20 390 0.9× 624 1.7× 209 0.6× 478 2.5× 67 0.4× 52 1.6k
Lauren Little United States 23 680 1.6× 728 1.9× 917 2.7× 202 1.0× 197 1.2× 88 1.6k
Hui‐Ing Ma Taiwan 20 193 0.4× 363 1.0× 181 0.5× 99 0.5× 59 0.3× 41 1.1k

Countries citing papers authored by Kuan‐Lin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Lin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Lin Chen. 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 Kuan‐Lin Chen. The network helps show where Kuan‐Lin Chen may publish in the future.

Co-authorship network of co-authors of Kuan‐Lin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan‐Lin Chen. A scholar is included among the top collaborators of Kuan‐Lin Chen 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 Kuan‐Lin Chen. Kuan‐Lin Chen 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
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Yu, Yen‐Ting, et al.. (2023). Qualitative and quantitative pretend play and their predictors in children with autism spectrum disorder: A path-analysis study. Research in autism spectrum disorders. 110. 102307–102307.
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Yu, Yen‐Ting, et al.. (2023). The associations of theory of mind with both general and theory-of-mind-related social interaction in children with autism spectrum disorder. Research in autism spectrum disorders. 102. 102107–102107. 2 indexed citations
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Huang, Chien‐Yu, et al.. (2023). Different autism measures targeting different severity levels in children with autism spectrum disorder. European Archives of Psychiatry and Clinical Neuroscience. 274(1). 27–33. 1 indexed citations
8.
Chen, Kuan‐Lin, et al.. (2023). Development and psychometric evidence of the Chinese Version of the Theory of Mind Inventory-2 (ToMI-2) in children with autism spectrum disorder. Research in autism spectrum disorders. 103. 102132–102132. 2 indexed citations
9.
Lee, Shih‐Chieh, et al.. (2022). Factorial Validity of the Theory of Mind Inventory-2 in Typically Developing Children. Journal of Autism and Developmental Disorders. 53(1). 310–318. 3 indexed citations
10.
Chen, Kuan‐Lin, et al.. (2022). A systematic review of measures of theory of mind for children. Developmental Review. 67. 101061–101061. 14 indexed citations
11.
Hung, Chi‐Fa, et al.. (2022). The animated assessment of theory of mind for people with schizophrenia (AToMS): development and psychometric evaluation. European Archives of Psychiatry and Clinical Neuroscience. 273(3). 663–677. 1 indexed citations
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Yu, Yen‐Ting, et al.. (2022). High levels of screen time were associated with increased probabilities of lagged development in 3‐year‐old children. Acta Paediatrica. 111(9). 1736–1742. 7 indexed citations
13.
Wu, Chin‐Chin, et al.. (2022). Theory of Mind Predicts Social Interaction in Children with Autism Spectrum Disorder: A Two-Year Follow-Up Study. Journal of Autism and Developmental Disorders. 53(9). 3659–3669. 15 indexed citations
14.
Lin, Chung‐Ying, et al.. (2021). A Systematic Review of the Current Measures of Theory of Mind in Adults with Schizophrenia. International Journal of Environmental Research and Public Health. 18(13). 7172–7172. 15 indexed citations
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Lee, Shih‐Chieh, et al.. (2021). Factorial validity of the Theory of Mind Inventory‐2 in children with autism spectrum disorder. Autism Research. 14(11). 2424–2431. 10 indexed citations
16.
Wu, Li-An, Ruoh‐Fang Yen, Tiffany Ting‐Fang Shih, Kuan‐Lin Chen, & Jane Wang. (2021). Diagnostic Performance of Proton Magnetic Resonance Spectroscopy and 18F-Fluorocholine PET to Differentiate Benign From Malignant Breast Lesions. Clinical Nuclear Medicine. 46(11). 896–903. 4 indexed citations
17.
Huang, Chien‐Yu, et al.. (2020). Psychometric Properties and Efficiency of the Computerized Adaptive Testing System for Measuring Self-Care Performance in Taiwanese Children With Developmental Disabilities. Archives of Physical Medicine and Rehabilitation. 101(8). 1332–1337. 1 indexed citations
18.
Chen, Kuan‐Lin, et al.. (2019). Identifying the Cognitive Correlates of Reciprocity in Children with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders. 50(6). 2007–2018. 8 indexed citations
19.
Chen, Kuan‐Lin, et al.. (2019). <p>Prediction Of Playfulness By Pretend Play, Severity Of Autism Behaviors, And Verbal Comprehension In Children With Autism Spectrum Disorder</p>. Neuropsychiatric Disease and Treatment. Volume 15. 3177–3186. 14 indexed citations
20.
Huang, Chien‐Yu, et al.. (2017). Development of a Computerized Adaptive Test of Children's Gross Motor Skills. Archives of Physical Medicine and Rehabilitation. 99(3). 512–520. 6 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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