Lee-Xieng Yang

492 total citations
12 papers, 330 citations indexed

About

Lee-Xieng Yang is a scholar working on Experimental and Cognitive Psychology, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Lee-Xieng Yang has authored 12 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Experimental and Cognitive Psychology, 5 papers in Developmental and Educational Psychology and 3 papers in Artificial Intelligence. Recurrent topics in Lee-Xieng Yang's work include Child and Animal Learning Development (5 papers), Language and cultural evolution (3 papers) and Cognitive Science and Mapping (3 papers). Lee-Xieng Yang is often cited by papers focused on Child and Animal Learning Development (5 papers), Language and cultural evolution (3 papers) and Cognitive Science and Mapping (3 papers). Lee-Xieng Yang collaborates with scholars based in Taiwan, Australia and Switzerland. Lee-Xieng Yang's co-authors include Stephan Lewandowsky, Klaus Oberauer, Ullrich K. H. Ecker, Ben R. Newell, Michael L. Kalish, Leo Roberts, Shen‐Mou Hsu, Shu‐Heng Chen and En‐Chi Chang and has published in prestigious journals such as Journal of Experimental Psychology Learning Memory and Cognition, Frontiers in Psychology and Memory & Cognition.

In The Last Decade

Lee-Xieng Yang

10 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee-Xieng Yang Taiwan 8 166 138 123 82 28 12 330
Isabel Orenes Spain 10 153 0.9× 117 0.8× 133 1.1× 115 1.4× 46 1.6× 18 375
Scott W. Allen Canada 4 141 0.8× 180 1.3× 78 0.6× 76 0.9× 26 0.9× 5 320
R. Brooke Lea United States 12 148 0.9× 212 1.5× 135 1.1× 109 1.3× 27 1.0× 16 367
Denis Arnold Germany 8 112 0.7× 64 0.5× 161 1.3× 131 1.6× 12 0.4× 19 300
Yunn-Wen Lien Taiwan 10 136 0.8× 99 0.7× 132 1.1× 57 0.7× 21 0.8× 15 328
Harlan D. Harris United States 7 214 1.3× 173 1.3× 120 1.0× 90 1.1× 9 0.3× 14 348
Jeri L. Little United States 13 300 1.8× 290 2.1× 123 1.0× 197 2.4× 9 0.3× 23 586
Lisette Mol Netherlands 11 110 0.7× 229 1.7× 166 1.3× 56 0.7× 8 0.3× 22 359
Janet K. Andrews United States 6 147 0.9× 100 0.7× 191 1.6× 49 0.6× 7 0.3× 10 308
Kenneth R. Livingston United States 7 153 0.9× 103 0.7× 195 1.6× 54 0.7× 7 0.3× 19 335

Countries citing papers authored by Lee-Xieng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lee-Xieng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee-Xieng Yang. 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 Lee-Xieng Yang. The network helps show where Lee-Xieng Yang may publish in the future.

Co-authorship network of co-authors of Lee-Xieng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Lee-Xieng Yang. A scholar is included among the top collaborators of Lee-Xieng Yang 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 Lee-Xieng Yang. Lee-Xieng Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
2.
Yang, Lee-Xieng, et al.. (2021). Exemplar Account for Category Variability Effect: Single Category based Categorization. eScholarship (California Digital Library). 43(43).
3.
Chen, Shu‐Heng, et al.. (2017). Cognitive ability and earnings performance: Evidence from double auction market experiments. Journal of Economic Dynamics and Control. 91. 409–440. 13 indexed citations
4.
Yang, Lee-Xieng, et al.. (2014). Category variability effect in category learning with auditory stimuli. Frontiers in Psychology. 5. 1122–1122. 2 indexed citations
5.
Chen, Shu‐Heng, et al.. (2013). Cognitive capacity and cognitive hierarchy: a study based on beauty contest experiments. Journal of Economic Interaction and Coordination. 9(1). 69–105. 10 indexed citations
6.
Lewandowsky, Stephan, Lee-Xieng Yang, Ben R. Newell, & Michael L. Kalish. (2012). Working memory does not dissociate between different perceptual categorization tasks.. Journal of Experimental Psychology Learning Memory and Cognition. 38(4). 881–904. 50 indexed citations
7.
Hsu, Shen‐Mou & Lee-Xieng Yang. (2012). Sequential effects in facial expression categorization.. Emotion. 13(3). 573–586. 18 indexed citations
8.
Lewandowsky, Stephan, Klaus Oberauer, Lee-Xieng Yang, & Ullrich K. H. Ecker. (2010). A working memory test battery for MATLAB. Behavior Research Methods. 42(2). 571–585. 124 indexed citations
9.
Yang, Lee-Xieng, et al.. (2008). Working Memory and Knowledge Partitioning in Categorization. 3 indexed citations
10.
Lewandowsky, Stephan, Leo Roberts, & Lee-Xieng Yang. (2006). Knowledge partitioning in categorization: Boundary conditions. Memory & Cognition. 34(8). 1676–1688. 30 indexed citations
11.
Yang, Lee-Xieng & Stephan Lewandowsky. (2004). Knowledge Partitioning in Categorization: Constraints on Exemplar Models.. Journal of Experimental Psychology Learning Memory and Cognition. 30(5). 1045–1064. 42 indexed citations
12.
Yang, Lee-Xieng & Stephan Lewandowsky. (2003). Context-gated knowledge partitioning in categorization.. Journal of Experimental Psychology Learning Memory and Cognition. 29(4). 663–679. 38 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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