Erik C. Chang

679 total citations
24 papers, 531 citations indexed

About

Erik C. Chang is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Erik C. Chang has authored 24 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 5 papers in Developmental and Educational Psychology and 4 papers in Social Psychology. Recurrent topics in Erik C. Chang's work include Neural and Behavioral Psychology Studies (10 papers), Visual perception and processing mechanisms (8 papers) and Motor Control and Adaptation (7 papers). Erik C. Chang is often cited by papers focused on Neural and Behavioral Psychology Studies (10 papers), Visual perception and processing mechanisms (8 papers) and Motor Control and Adaptation (7 papers). Erik C. Chang collaborates with scholars based in Taiwan, United States and Canada. Erik C. Chang's co-authors include Tony Ro, Alessandro Farnè, Olivia L Lee, Melvyn A. Goodale, Li‐Wei Ko, Denise H. Wu, J. Randall Flanagan, Alan Kingstone, Bettina Olk and Chin‐Teng Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Erik C. Chang

23 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik C. Chang Taiwan 14 409 74 67 59 50 24 531
Bettina Olk Germany 15 559 1.4× 30 0.4× 53 0.8× 50 0.8× 94 1.9× 43 688
Carola Tegeler United States 7 632 1.5× 91 1.2× 37 0.6× 82 1.4× 168 3.4× 9 755
Luis Hernández Mexico 9 398 1.0× 32 0.4× 28 0.4× 30 0.5× 69 1.4× 14 510
Claudia Bonfiglioli Italy 13 398 1.0× 93 1.3× 21 0.3× 151 2.6× 84 1.7× 21 553
Jutta Billino Germany 12 400 1.0× 45 0.6× 36 0.5× 118 2.0× 87 1.7× 35 514
Gregory S. Harrington United States 8 299 0.7× 65 0.9× 39 0.6× 46 0.8× 50 1.0× 11 388
Kelly M. Goedert United States 19 948 2.3× 105 1.4× 73 1.1× 111 1.9× 46 0.9× 28 1.1k
Robert Pokorny United States 8 428 1.0× 104 1.4× 28 0.4× 109 1.8× 106 2.1× 11 534
Karine Doré-Mazars France 13 434 1.1× 71 1.0× 106 1.6× 37 0.6× 115 2.3× 43 553

Countries citing papers authored by Erik C. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Erik C. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik C. Chang. 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 Erik C. Chang. The network helps show where Erik C. Chang may publish in the future.

Co-authorship network of co-authors of Erik C. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Erik C. Chang. A scholar is included among the top collaborators of Erik C. Chang 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 Erik C. Chang. Erik C. Chang 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.
Chang, Erik C., et al.. (2024). Inequivalent and uncorrelated response priming in motor imagery and execution. Frontiers in Psychology. 15. 1363495–1363495.
2.
Chang, Erik C.. (2021). Information-Theoretic Quantification of Dedifferentiation in the Aging of Motor and Executive Functions. Frontiers in Aging Neuroscience. 13. 634089–634089. 1 indexed citations
3.
Chang, Erik C., et al.. (2019). Team sport expertise shows superior stimulus-driven visual attention and motor inhibition. PLoS ONE. 14(5). e0217056–e0217056. 49 indexed citations
4.
Chang, Erik C., et al.. (2018). Monetary Reward and Punishment to Response Inhibition Modulate Activation and Synchronization Within the Inhibitory Brain Network. Frontiers in Human Neuroscience. 12. 27–27. 21 indexed citations
6.
Ko, Li‐Wei, et al.. (2016). Neural Mechanisms of Inhibitory Response in a Battlefield Scenario: A Simultaneous fMRI-EEG Study. Frontiers in Human Neuroscience. 10. 185–185. 22 indexed citations
7.
Chang, Erik C., et al.. (2016). Bimanual Coordination Learning with Different Augmented Feedback Modalities and Information Types. PLoS ONE. 11(2). e0149221–e0149221. 8 indexed citations
8.
Chang, Yu‐Kai, et al.. (2015). Structural differences in basal ganglia of elite running versus martial arts athletes: a diffusion tensor imaging study. Experimental Brain Research. 233(7). 2239–2248. 15 indexed citations
9.
Chang, Erik C., et al.. (2015). Flicker-glare and visual-comfort assessments of light emitting diode billboards II: color display. Applied Optics. 54(13). 4089–4089. 4 indexed citations
10.
Lin, Meng-Wei, et al.. (2014). Flicker-glare and visual-comfort assessments of light emitting diode billboards. Applied Optics. 53(22). E61–E61. 12 indexed citations
11.
Chang, Erik C., et al.. (2014). Analysis of Lower Back Pain after Autologous Breast Reconstruction using the Transverse Rectus Abdominus Myocutaneous (TRAM) Flap. Journal of the American College of Surgeons. 219(3). S87–S87. 1 indexed citations
12.
Chiou, Rocco, Denise H. Wu, Ovid J. L. Tzeng, Daisy L. Hung, & Erik C. Chang. (2011). Relative size of numerical magnitude induces a size-contrast effect on the grip scaling of reach-to-grasp movements. Cortex. 48(8). 1043–1051. 16 indexed citations
13.
Chang, Erik C. & Melvyn A. Goodale. (2010). Size-weight illusion dissociates from grip forces when objects lifted from other hand. Journal of Vision. 6(6). 861–861. 1 indexed citations
14.
Chiou, Rocco, Erik C. Chang, Ovid J. L. Tzeng, & Denise H. Wu. (2009). The common magnitude code underlying numerical and size processing for action but not for perception. Experimental Brain Research. 194(4). 553–562. 25 indexed citations
15.
Chang, Erik C., J. Randall Flanagan, & Melvyn A. Goodale. (2007). The intermanual transfer of anticipatory force control in precision grip lifting is not influenced by the perception of weight. Experimental Brain Research. 185(2). 319–329. 36 indexed citations
16.
Chang, Erik C. & Tony Ro. (2007). Maintenance of Visual Stability in the Human Posterior Parietal Cortex. Journal of Cognitive Neuroscience. 19(2). 266–274. 21 indexed citations
17.
Olk, Bettina, Erik C. Chang, Alan Kingstone, & Tony Ro. (2005). Modulation of Antisaccades by Transcranial Magnetic Stimulation of the Human Frontal Eye Field. Cerebral Cortex. 16(1). 76–82. 39 indexed citations
18.
Ro, Tony, et al.. (2004). Extrageniculate mediation of unconscious vision in transcranial magnetic stimulation-induced blindsight. Proceedings of the National Academy of Sciences. 101(26). 9933–9935. 74 indexed citations
19.
Ro, Tony, Alessandro Farnè, & Erik C. Chang. (2003). Inhibition of return and the human frontal eye fields. Experimental Brain Research. 150(3). 290–296. 78 indexed citations
20.
Ro, Tony, Alessandro Farnè, & Erik C. Chang. (2002). Locating the Human Frontal Eye Fields With Transcranial Magnetic Stimulation. Journal of Clinical and Experimental Neuropsychology. 24(7). 930–940. 36 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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