John J. H. Lin

428 total citations
27 papers, 281 citations indexed

About

John J. H. Lin is a scholar working on Social Psychology, Experimental and Cognitive Psychology and Education. According to data from OpenAlex, John J. H. Lin has authored 27 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Social Psychology, 9 papers in Experimental and Cognitive Psychology and 5 papers in Education. Recurrent topics in John J. H. Lin's work include Visual and Cognitive Learning Processes (6 papers), Human-Automation Interaction and Safety (6 papers) and Educational Strategies and Epistemologies (3 papers). John J. H. Lin is often cited by papers focused on Visual and Cognitive Learning Processes (6 papers), Human-Automation Interaction and Safety (6 papers) and Educational Strategies and Epistemologies (3 papers). John J. H. Lin collaborates with scholars based in Taiwan, United Kingdom and United States. John J. H. Lin's co-authors include Sunny S. J. Lin, Pey‐Yan Liou, Wen‐Chin Li, Graham Braithwaite, Chia-Yu Wang, Shaljan Areepattamannil, Hsien‐Yuan Hsu, Jiun‐Yu Wu, Susan Troncoso Skidmore and Min-Jung Kim and has published in prestigious journals such as Computers in Human Behavior, Frontiers in Psychology and Ergonomics.

In The Last Decade

John J. H. Lin

26 papers receiving 275 citations

Peers

John J. H. Lin
W. Steijn Netherlands
Kyle Heyne United States
Nancy Cooke United States
Chun‐Chia Lee Taiwan
Brian T. Schreiber United States
Julie‐Ann Sime United Kingdom
Steffani Saß Germany
M. Asif Khawaja Australia
Elisabeth Cuddihy United States
Charlene K. Stokes United States
W. Steijn Netherlands
John J. H. Lin
Citations per year, relative to John J. H. Lin John J. H. Lin (= 1×) peers W. Steijn

Countries citing papers authored by John J. H. Lin

Since Specialization
Citations

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

Fields of papers citing papers by John J. H. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. H. Lin. 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 John J. H. Lin. The network helps show where John J. H. Lin may publish in the future.

Co-authorship network of co-authors of John J. H. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of John J. H. Lin. A scholar is included among the top collaborators of John J. H. Lin 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 John J. H. Lin. John J. H. Lin 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, John J. H., et al.. (2024). AI‐Assisted Assessment of Inquiry Skills in Socioscientific Issue Contexts. Journal of Computer Assisted Learning. 41(1). 2 indexed citations
2.
Cherne, Stephen, et al.. (2024). Validating Human Papillomavirus Self-Collection Testing as an Alternative Approach to Cervical Cancer Screening. Journal of the American Society of Cytopathology. 13(5). S25–S26. 1 indexed citations
3.
Wang, Chia-Yu & John J. H. Lin. (2023). Utilizing artificial intelligence to support analyzing self-regulated learning: A preliminary mixed-methods evaluation from a human-centered perspective. Computers in Human Behavior. 144. 107721–107721. 20 indexed citations
4.
5.
Liu, Chi‐Hung, Chun‐Wei Chang, June Hung, et al.. (2023). Brain computed tomography reading of stroke patients by resident doctors from different medical specialities: An eye-tracking study. Journal of Clinical Neuroscience. 117. 173–180. 1 indexed citations
6.
Li, Wen‐Chin, et al.. (2022). Investigating the impacts of COVID-19 on aviation safety based on occurrences captured through flight data monitoring. Ergonomics. 66(10). 1534–1548. 7 indexed citations
7.
Liu, Chi‐Hung, June Hung, Chun‐Wei Chang, et al.. (2022). Oral presentation assessment and image reading behaviour on brain computed tomography reading in novice clinical learners: an eye-tracking study. BMC Medical Education. 22(1). 738–738. 1 indexed citations
8.
Lin, John J. H. & Hsien‐Yuan Hsu. (2022). Investigating the performance of level-specific fit indices in multilevel confirmatory factor analysis with dichotomous indicators: A Monte Carlo study. Behavior Research Methods. 55(8). 4222–4259. 5 indexed citations
9.
10.
Lin, John J. H. & Pey‐Yan Liou. (2019). Assessing the learning achievement of students from different college entrance channels: a linear growth curve modelling approach. Assessment & Evaluation in Higher Education. 44(5). 732–747. 6 indexed citations
11.
Li, Wen‐Chin, et al.. (2018). How much is too much on monitoring tasks? Visual scan patterns of single air traffic controller performing multiple remote tower operations. International Journal of Industrial Ergonomics. 67. 135–144. 31 indexed citations
12.
Wu, Jiun‐Yu, et al.. (2018). Using iMCFA to Perform the CFA, Multilevel CFA, and Maximum Model for Analyzing Complex Survey Data. Frontiers in Psychology. 9. 251–251. 2 indexed citations
13.
Hsu, Hsien‐Yuan, John J. H. Lin, Susan Troncoso Skidmore, & Min-Jung Kim. (2018). Evaluating fit indices in a multilevel latent growth curve model: A Monte Carlo study. Behavior Research Methods. 51(1). 172–194. 8 indexed citations
14.
Hsu, Hsien‐Yuan, John J. H. Lin, & Susan Troncoso Skidmore. (2017). Analyzing individual growth with clustered longitudinal data: A comparison between model-based and design-based multilevel approaches. Behavior Research Methods. 50(2). 786–803. 3 indexed citations
15.
16.
Li, Wen‐Chin, et al.. (2016). The Activated Failures of Human-Automation Interactions on the Flight Deck. CERES (Cranfield University). 48(3). 163–171. 2 indexed citations
17.
Lin, John J. H., et al.. (2016). Reading subtitles and taking enotes while learning scientific materials in a multimedia environment: Cognitive load perspectives on EFL students. Educational Technology & Society. 19(4). 47–58. 30 indexed citations
18.
Li, Wen‐Chin, et al.. (2016). The development of eye tracking in aviation (ETA) technique to investigate pilot's cognitive processes of attention and decision-making. CERES (Cranfield University). 3 indexed citations
19.
Lin, John J. H. & Sunny S. J. Lin. (2016). Integrating eye trackers with handwriting tablets to discover difficulties of solving geometry problems. British Journal of Educational Technology. 49(1). 17–29. 13 indexed citations
20.
Lin, John J. H. & Sunny S. J. Lin. (2014). Tracking eye movements when solving geometry problems with handwriting devices. Journal of Eye Movement Research. 7(1). 25 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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