Shih‐Chieh Lee

485 total citations
51 papers, 316 citations indexed

About

Shih‐Chieh Lee is a scholar working on Rehabilitation, Psychiatry and Mental health and Computer Networks and Communications. According to data from OpenAlex, Shih‐Chieh Lee has authored 51 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Rehabilitation, 17 papers in Psychiatry and Mental health and 12 papers in Computer Networks and Communications. Recurrent topics in Shih‐Chieh Lee's work include Stroke Rehabilitation and Recovery (18 papers), Acute Ischemic Stroke Management (10 papers) and Cerebral Palsy and Movement Disorders (8 papers). Shih‐Chieh Lee is often cited by papers focused on Stroke Rehabilitation and Recovery (18 papers), Acute Ischemic Stroke Management (10 papers) and Cerebral Palsy and Movement Disorders (8 papers). Shih‐Chieh Lee collaborates with scholars based in Taiwan, United States and South Korea. Shih‐Chieh Lee's co-authors include Ching‐Lin Hsieh, Gong‐Hong Lin, Chih‐Yung Chang, Kuei‐Ping Shih, Yi‐Jing Huang, Kuan‐Lin Chen, Chen‐Chung Liu, Prasan Kumar Sahoo, Chian‐Jue Kuo and Gwo‐Jong Yu and has published in prestigious journals such as Journal of Chromatography A, Tetrahedron and Journal of Affective Disorders.

In The Last Decade

Shih‐Chieh Lee

47 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shih‐Chieh Lee Taiwan 11 80 75 69 44 42 51 316
Dohyun Kim South Korea 14 36 0.5× 134 1.8× 14 0.2× 135 3.1× 64 1.5× 36 562
Leslie Mahler United States 11 55 0.7× 31 0.4× 10 0.1× 43 1.0× 67 1.6× 20 446
Paula Costa Castro Brazil 10 20 0.3× 52 0.7× 22 0.3× 24 0.5× 11 0.3× 28 430
Nick Moffat United Kingdom 9 46 0.6× 74 1.0× 10 0.1× 78 1.8× 38 0.9× 14 372
Javier Chirivella Spain 13 17 0.2× 77 1.0× 50 0.7× 134 3.0× 33 0.8× 26 488
Yanan Niu China 12 8 0.1× 86 1.1× 37 0.5× 167 3.8× 51 1.2× 30 481
Mevludin Memedi Sweden 14 23 0.3× 29 0.4× 19 0.3× 73 1.7× 15 0.4× 37 568
David Greeley United States 7 10 0.1× 161 2.1× 19 0.3× 75 1.7× 80 1.9× 13 414
Uwe Hentschel Germany 8 13 0.2× 49 0.7× 27 0.4× 27 0.6× 24 0.6× 63 253

Countries citing papers authored by Shih‐Chieh Lee

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Chieh Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Chieh Lee. 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 Shih‐Chieh Lee. The network helps show where Shih‐Chieh Lee may publish in the future.

Co-authorship network of co-authors of Shih‐Chieh Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Chieh Lee. A scholar is included among the top collaborators of Shih‐Chieh Lee 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 Shih‐Chieh Lee. Shih‐Chieh Lee 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.
Lin, Gong‐Hong, et al.. (2025). Machine Learning-based World Health Organization Disability Assessment Schedule for persons with Parkinson's disease. Parkinsonism & Related Disorders. 133. 107316–107316.
2.
Lin, Gong‐Hong, Shih‐Chieh Lee, Chien‐Yu Huang, et al.. (2024). Developing an Accumulative Assessment System of Upper Extremity Motor Function in Patients With Stroke Using Deep Learning. Physical Therapy. 104(6). 2 indexed citations
3.
Lin, Gong‐Hong, Shih‐Chieh Lee, Bojian Wu, et al.. (2024). Developing a machine learning-based short form of the positive and negative syndrome scale. Asian Journal of Psychiatry. 94. 103965–103965. 1 indexed citations
4.
Huang, Chien‐Yu, Gong‐Hong Lin, Szu‐Ching Lu, & Shih‐Chieh Lee. (2024). Quantifying Coloring Skills Among Preschoolers. American Journal of Occupational Therapy. 78(3).
5.
Lin, Gong‐Hong, Shih‐Chieh Lee, Yen‐Ting Yu, & Chien‐Yu Huang. (2023). Machine learning-based brief version of the Caregiver-Teacher Report Form for preschoolers. Research in Developmental Disabilities. 134. 104437–104437. 6 indexed citations
6.
7.
Chiang, Hsin-Yu, et al.. (2023). Test–Retest Reliability and Responsiveness of the Computerized Adaptive Test of Social Functioning in Persons With Stroke. Archives of Physical Medicine and Rehabilitation. 104(9). 1432–1438. 2 indexed citations
8.
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
9.
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
10.
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
11.
Wang, Inga, et al.. (2022). Development of a Berg Balance Scale Short-Form Using a Machine Learning Approach in Patients With Stroke. Journal of Neurologic Physical Therapy. 47(1). 44–51. 4 indexed citations
12.
Lee, Shih‐Chieh, Gong‐Hong Lin, Ching‐Lin Shih, et al.. (2022). Error patterns of facial emotion recognition in patients with schizophrenia. Journal of Affective Disorders. 300. 441–448. 14 indexed citations
13.
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
14.
Lin, Gong‐Hong, et al.. (2018). Development of a Computerized Adaptive Testing System for Assessing 5 Functions in Patients with Stroke: A Simulation and Validation Study. Archives of Physical Medicine and Rehabilitation. 100(5). 899–907. 7 indexed citations
15.
Lin, Gong‐Hong, Yi‐Jing Huang, Shih‐Chieh Lee, Sheau‐Ling Huang, & Ching‐Lin Hsieh. (2017). Development of a Computerized Adaptive Testing System of the Functional Assessment of Stroke. Archives of Physical Medicine and Rehabilitation. 99(4). 676–683. 7 indexed citations
16.
Chen, Kuan‐Wei, et al.. (2017). Psychometric properties of three measures assessing advanced theory of mind: Evidence from people with schizophrenia. Psychiatry Research. 257. 490–496. 23 indexed citations
17.
Huang, Yi‐Jing, et al.. (2017). Group- and Individual-Level Responsiveness of the 3-Point Berg Balance Scale and 3-Point Postural Assessment Scale for Stroke Patients. Archives of Physical Medicine and Rehabilitation. 99(3). 529–533. 7 indexed citations
18.
Huang, Yi‐Jing, Chien-Yu Huang, Gong‐Hong Lin, et al.. (2017). Test-retest reliability and minimal detectable change of two simplified 3-point balance measures in patients with stroke. European Journal of Physical and Rehabilitation Medicine. 53(5). 719–724. 5 indexed citations
19.
Lee, Shih‐Chieh, et al.. (2017). Development of a Social Functioning Assessment Using Computerized Adaptive Testing for Patients With Stroke. Archives of Physical Medicine and Rehabilitation. 99(2). 306–313. 4 indexed citations
20.
Lee, Shih‐Chieh, Chun‐Chi Wang, Pinchen Yang, & Shou‐Mei Wu. (2011). Enantioseparation of (±)-threo-methylphenidate in human plasma by cyclodextrin-modified sample stacking capillary electrophoresis. Journal of Chromatography A. 1232. 302–305. 17 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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