Stephen Wee Hun Lim

582 total citations
28 papers, 372 citations indexed

About

Stephen Wee Hun Lim is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Stephen Wee Hun Lim has authored 28 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 14 papers in Developmental and Educational Psychology and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Stephen Wee Hun Lim's work include Visual and Cognitive Learning Processes (7 papers), Educational Strategies and Epistemologies (7 papers) and Innovative Teaching and Learning Methods (6 papers). Stephen Wee Hun Lim is often cited by papers focused on Visual and Cognitive Learning Processes (7 papers), Educational Strategies and Epistemologies (7 papers) and Innovative Teaching and Learning Methods (6 papers). Stephen Wee Hun Lim collaborates with scholars based in Singapore, France and Japan. Stephen Wee Hun Lim's co-authors include Kep Kee Loh, Winston D. Goh, Gavin Ng, Tobias Tempel, Kathleen M. Quinlan, Emmanuel Manalo, Sean H. K. Kang, Si Chen, Eddie M. W. Tong and Melvin J. Yap and has published in prestigious journals such as PLoS ONE, Journal of Educational Psychology and Computers in Human Behavior.

In The Last Decade

Stephen Wee Hun Lim

26 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Wee Hun Lim Singapore 11 131 127 106 99 60 28 372
Dung C. Bui United States 10 159 1.2× 119 0.9× 152 1.4× 105 1.1× 16 0.3× 12 364
Sameh Said‐Metwaly Belgium 11 434 3.3× 156 1.2× 104 1.0× 73 0.7× 26 0.4× 19 553
Srdan Medimorec Canada 9 87 0.7× 146 1.1× 108 1.0× 103 1.0× 40 0.7× 15 347
Stacy Lee DeZutter United States 4 199 1.5× 82 0.6× 88 0.8× 106 1.1× 40 0.7× 4 408
James A. Kole United States 11 78 0.6× 132 1.0× 92 0.9× 62 0.6× 36 0.6× 27 391
David A. Sousa United States 10 53 0.4× 88 0.7× 106 1.0× 222 2.2× 20 0.3× 29 436
Tiffany Morisseau France 8 108 0.8× 69 0.5× 101 1.0× 120 1.2× 56 0.9× 18 401
Sandra Hübner Germany 6 121 0.9× 31 0.2× 316 3.0× 242 2.4× 29 0.5× 7 426
Luke Rinne United States 14 104 0.8× 95 0.7× 141 1.3× 282 2.8× 28 0.5× 17 512
Christophe Mouchiroud France 7 417 3.2× 140 1.1× 87 0.8× 68 0.7× 30 0.5× 11 544

Countries citing papers authored by Stephen Wee Hun Lim

Since Specialization
Citations

This map shows the geographic impact of Stephen Wee Hun Lim'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 Stephen Wee Hun Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Wee Hun Lim more than expected).

Fields of papers citing papers by Stephen Wee Hun Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Wee Hun Lim. 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 Stephen Wee Hun Lim. The network helps show where Stephen Wee Hun Lim may publish in the future.

Co-authorship network of co-authors of Stephen Wee Hun Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Wee Hun Lim. A scholar is included among the top collaborators of Stephen Wee Hun Lim 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 Stephen Wee Hun Lim. Stephen Wee Hun Lim 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.
Lim, Stephen Wee Hun, et al.. (2024). Durable Benefits of Learning-by-Teaching for Research Question Generation Performance: A Field Experiment. The Journal of Experimental Education. 1–21.
2.
Lim, Stephen Wee Hun, et al.. (2023). To ask better questions, teach: Learning-by-teaching enhances research question generation more than retrieval practice and concept-mapping.. Journal of Educational Psychology. 115(6). 798–812. 6 indexed citations
3.
Lim, Stephen Wee Hun, et al.. (2021). Deliberate errors promote meaningful learning.. Journal of Educational Psychology. 114(8). 1817–1831. 10 indexed citations
4.
Lim, Stephen Wee Hun, et al.. (2021). A mind-wandering account of the testing effect: Does context variation matter?. Psychonomic Bulletin & Review. 29(1). 220–229. 3 indexed citations
5.
Lim, Stephen Wee Hun, et al.. (2021). Take notes, not photos: Mind-wandering mediates the impact of note-taking strategies on video-recorded lecture learning performance.. Journal of Experimental Psychology Applied. 29(1). 124–135. 17 indexed citations
6.
Lim, Stephen Wee Hun, et al.. (2021). The derring effect: Deliberate errors enhance learning.. Journal of Experimental Psychology General. 151(1). 25–40. 10 indexed citations
7.
Lim, Stephen Wee Hun, et al.. (2021). The “Silent Teacher”: Learning by teaching via writing a verbatim teaching script. Applied Cognitive Psychology. 35(6). 1492–1501. 5 indexed citations
8.
Chen, Si, et al.. (2020). Learning melodic musical intervals: To block or to interleave?. Psychology of Music. 49(4). 1027–1046. 6 indexed citations
9.
Kang, Sean H. K., et al.. (2020). Learning Music Composers’ Styles: To Block or to Interleave?. Journal of Research in Music Education. 68(2). 156–174. 8 indexed citations
10.
Loh, Kep Kee & Stephen Wee Hun Lim. (2020). Positive associations between media multitasking and creativity. Computers in Human Behavior Reports. 1. 100015–100015. 7 indexed citations
11.
Lim, Stephen Wee Hun, et al.. (2019). From JOLs to JOLs+: Directing learners’ attention in retrieval practice to boost integrative argumentation.. Journal of Experimental Psychology Applied. 25(4). 543–557. 3 indexed citations
12.
Lim, Stephen Wee Hun, et al.. (2018). Prevention–Permission–Promotion: A Review of Approaches to Errors in Learning. Educational Psychologist. 54(1). 1–19. 31 indexed citations
13.
Lim, Stephen Wee Hun, et al.. (2017). Mental imagery boosts music compositional creativity. PLoS ONE. 12(3). e0174009–e0174009. 15 indexed citations
14.
Ng, Gavin, et al.. (2017). Retrieval Practice Enhances Analogical Problem Solving. The Journal of Experimental Education. 87(1). 128–138. 14 indexed citations
15.
Loh, Kep Kee, et al.. (2016). Media multitasking predicts video-recorded lecture learning performance through mind wandering tendencies. Computers in Human Behavior. 63. 943–947. 42 indexed citations
16.
Lim, Stephen Wee Hun, et al.. (2016). Integrity in and Beyond Contemporary Higher Education: What Does it Mean to University Students?. Frontiers in Psychology. 7. 1094–1094. 11 indexed citations
17.
18.
Lim, Stephen Wee Hun, et al.. (2012). Splitting Visual Focal Attention? It Probably Depends on Who You Are. Cognitive Science. 34(34). 2 indexed citations
19.
Lim, Stephen Wee Hun & Melvin J. Yap. (2010). Distributional Analyses in Visual Lexical Decision: Orthographic Neighborhood Density and Word Frequency Effects. Proceedings of the Annual Meeting of the Cognitive Science Society. 32(32).
20.
Lim, Stephen Wee Hun, et al.. (2008). Object substitution masking: When does mask preview work?. Journal of Experimental Psychology Human Perception & Performance. 34(5). 1108–1115. 9 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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