Ching‐Lin Shih

740 total citations
23 papers, 513 citations indexed

About

Ching‐Lin Shih is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Experimental and Cognitive Psychology. According to data from OpenAlex, Ching‐Lin Shih has authored 23 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 9 papers in Computer Networks and Communications and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Ching‐Lin Shih's work include Psychometric Methodologies and Testing (10 papers), Advanced Statistical Modeling Techniques (9 papers) and Cerebral Palsy and Movement Disorders (4 papers). Ching‐Lin Shih is often cited by papers focused on Psychometric Methodologies and Testing (10 papers), Advanced Statistical Modeling Techniques (9 papers) and Cerebral Palsy and Movement Disorders (4 papers). Ching‐Lin Shih collaborates with scholars based in Taiwan, Hong Kong and United States. Ching‐Lin Shih's co-authors include Wen‐Chung Wang, Ching‐Lin Hsieh, Hsueh‐Hua Chuang, Ching‐Fan Sheu, Sheng K. Wu, Mark Wilson, Chien‐Hung Chen, Hui‐Chu Lang, Kuan‐Lin Chen and Jyun‐Hong Chen and has published in prestigious journals such as Computers & Education, Journal of Affective Disorders and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Ching‐Lin Shih

22 papers receiving 495 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‐Lin Shih Taiwan 13 182 121 95 70 69 23 513
Ida Marais Australia 12 105 0.6× 60 0.5× 127 1.3× 94 1.3× 50 0.7× 34 702
Karen Draney United States 7 178 1.0× 80 0.7× 152 1.6× 57 0.8× 89 1.3× 22 513
Michael G. Jodoin United States 7 254 1.4× 126 1.0× 109 1.1× 89 1.3× 75 1.1× 15 659
Kimberly S. Maier United States 12 65 0.4× 38 0.3× 254 2.7× 54 0.8× 180 2.6× 29 680
Sébastien Béland Canada 9 186 1.0× 86 0.7× 75 0.8× 87 1.2× 74 1.1× 47 483
Rudy Ligtvoet Netherlands 8 90 0.5× 48 0.4× 107 1.1× 37 0.5× 28 0.4× 19 337
Anthony D. Albano United States 13 118 0.6× 53 0.4× 145 1.5× 50 0.7× 67 1.0× 29 401
Timothy N. Ansley United States 12 166 0.9× 111 0.9× 61 0.6× 35 0.5× 57 0.8× 31 610
Taehoon Kang South Korea 8 160 0.9× 91 0.8× 55 0.6× 59 0.8× 28 0.4× 24 403
Alyssa Counsell Canada 10 56 0.3× 25 0.2× 32 0.3× 98 1.4× 23 0.3× 21 395

Countries citing papers authored by Ching‐Lin Shih

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Lin Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ching‐Lin Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Lin Shih. A scholar is included among the top collaborators of Ching‐Lin Shih 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‐Lin Shih. Ching‐Lin Shih 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.
Jin, Kuan‐Yu, Delroy L. Paulhus, & Ching‐Lin Shih. (2023). A New Approach to Desirable Responding: Multidimensional Item Response Model of Overclaiming Data. Applied Psychological Measurement. 47(3). 221–236. 2 indexed citations
2.
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
3.
4.
Huang, Heng‐Tsung Danny, et al.. (2021). Developing and Validating a Computerized Adaptive Testing System for Measuring the English Proficiency of Taiwanese EFL University Students. Language Assessment Quarterly. 19(2). 162–188. 3 indexed citations
5.
Cheng, Chung‐Ping, et al.. (2020). An Exploratory Strategy to Identify and Define Sources of Differential Item Functioning. Applied Psychological Measurement. 44(7-8). 548–560. 5 indexed citations
6.
Chuang, Hsueh‐Hua, et al.. (2020). Teachers' perceptions of culturally responsive teaching in technology‐supported learning environments. British Journal of Educational Technology. 51(6). 2442–2460. 14 indexed citations
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Chen, Kuan‐Lin, et al.. (2014). Is the Long Form of the Fugl-Meyer Motor Scale More Responsive Than the Short Form in Patients With Stroke?. Archives of Physical Medicine and Rehabilitation. 95(5). 941–949. 26 indexed citations
10.
Shih, Ching‐Lin, et al.. (2014). Controlling Type I Error Rates in Assessing DIF for Logistic Regression Method Combined With SIBTEST Regression Correction Procedure and DIF-Free-Then-DIF Strategy. Educational and Psychological Measurement. 74(6). 1018–1048. 4 indexed citations
11.
Hsiao, Yu‐Yu, et al.. (2014). Examining unidimensionality and improving reliability for the eight subscales of the SF-36 in opioid-dependent patients using Rasch analysis. Quality of Life Research. 24(2). 279–285. 10 indexed citations
12.
Chen, Kuan‐Lin, et al.. (2014). A prospective study of the responsiveness of the original and the short form Berg Balance Scale in people with stroke. Clinical Rehabilitation. 29(5). 468–476. 15 indexed citations
13.
Shih, Ching‐Lin, Chien‐Hung Chen, Ching‐Fan Sheu, Hui‐Chu Lang, & Ching‐Lin Hsieh. (2013). Validating and Improving the Reliability of the EORTC QLQ-C30 Using a Multidimensional Rasch Model. Value in Health. 16(5). 848–854. 39 indexed citations
14.
Hou, Wen‐Hsuan, Ching‐Lin Shih, Ching‐Fan Sheu, et al.. (2012). Development of a Computerized Adaptive Testing System of the Fugl-Meyer Motor Scale in Stroke Patients. Archives of Physical Medicine and Rehabilitation. 93(6). 1014–1020. 32 indexed citations
15.
Wang, Wen‐Chung, et al.. (2012). The DIF-Free-Then-DIF Strategy for the Assessment of Differential Item Functioning. Educational and Psychological Measurement. 72(4). 687–708. 55 indexed citations
16.
Hsu, Pao‐Peng, et al.. (2010). The comparisons between one-way analysis of variance and multivariate analysis of variance: An empirical study to a series of data collection in laboratories. World academy of science, engineering and technology. 65. 1085–1090. 1 indexed citations
17.
Shih, Ching‐Lin, et al.. (2010). Development and initial validation of the Preschooler Gross Motor Quality Scale. Research in Developmental Disabilities. 31(6). 1187–1196. 50 indexed citations
18.
Wang, Wen‐Chung & Ching‐Lin Shih. (2010). MIMIC Methods for Assessing Differential Item Functioning in Polytomous Items. Applied Psychological Measurement. 34(3). 166–180. 44 indexed citations
19.
Shih, Ching‐Lin & Wen‐Chung Wang. (2009). Differential Item Functioning Detection Using the Multiple Indicators, Multiple Causes Method with a Pure Short Anchor. Applied Psychological Measurement. 33(3). 184–199. 76 indexed citations
20.
Wang, Wen‐Chung, et al.. (2009). The MIMIC Method With Scale Purification for Detecting Differential Item Functioning. Educational and Psychological Measurement. 69(5). 713–731. 51 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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2026