Bo-Cheng Kuo

850 total citations
25 papers, 631 citations indexed

About

Bo-Cheng Kuo is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Bo-Cheng Kuo has authored 25 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Bo-Cheng Kuo's work include Neural and Behavioral Psychology Studies (18 papers), Neural dynamics and brain function (13 papers) and Visual perception and processing mechanisms (8 papers). Bo-Cheng Kuo is often cited by papers focused on Neural and Behavioral Psychology Studies (18 papers), Neural dynamics and brain function (13 papers) and Visual perception and processing mechanisms (8 papers). Bo-Cheng Kuo collaborates with scholars based in Taiwan, United Kingdom and United States. Bo-Cheng Kuo's co-authors include Anna C. Nobre, Mark G. Stokes, Yei‐Yu Yeh, Jöran Lepsien, Anling Rao, Duncan E. Astle, Gaia Scerif, Jiun‐Jie Wang, Chi‐Hong Wang and Yau‐Yau Wai and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Bo-Cheng Kuo

25 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo-Cheng Kuo Taiwan 11 553 111 52 46 29 25 631
Karine Doré-Mazars France 13 434 0.8× 115 1.0× 37 0.7× 71 1.5× 36 1.2× 43 553
Erik C. Chang Taiwan 14 409 0.7× 50 0.5× 59 1.1× 74 1.6× 23 0.8× 24 531
Christopher L. Striemer Canada 17 728 1.3× 52 0.5× 63 1.2× 41 0.9× 30 1.0× 36 813
Benjamin J. Tamber-Rosenau United States 12 686 1.2× 132 1.2× 70 1.3× 38 0.8× 39 1.3× 27 805
Helge Gebhardt Germany 10 399 0.7× 122 1.1× 71 1.4× 68 1.5× 37 1.3× 14 490
Rainer Loose Germany 9 507 0.9× 100 0.9× 82 1.6× 28 0.6× 52 1.8× 22 633
Massimo Girelli Italy 13 1.1k 1.9× 232 2.1× 77 1.5× 99 2.2× 36 1.2× 23 1.2k
Benedetta Heimler Israel 12 462 0.8× 326 2.9× 39 0.8× 71 1.5× 12 0.4× 34 560
Cory A. Rieth United States 12 503 0.9× 159 1.4× 114 2.2× 81 1.8× 24 0.8× 21 575
Nicolas Farrugia France 8 490 0.9× 116 1.0× 136 2.6× 61 1.3× 60 2.1× 19 608

Countries citing papers authored by Bo-Cheng Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Bo-Cheng Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bo-Cheng Kuo. 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 Bo-Cheng Kuo. The network helps show where Bo-Cheng Kuo may publish in the future.

Co-authorship network of co-authors of Bo-Cheng Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Bo-Cheng Kuo. A scholar is included among the top collaborators of Bo-Cheng Kuo 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 Bo-Cheng Kuo. Bo-Cheng Kuo 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.
Kuo, Bo-Cheng, et al.. (2022). Temporal profiles of cortical oscillations in novice performers for goal-directed aiming in a shooting task. Biological Psychology. 176. 108482–108482. 1 indexed citations
2.
Chen, Ya‐Ting, Freek van Ede, & Bo-Cheng Kuo. (2022). Alpha Oscillations Track Content-Specific Working Memory Capacity. Journal of Neuroscience. 42(38). 7285–7293. 10 indexed citations
3.
Chen, Fangwen, Chunhui Li, & Bo-Cheng Kuo. (2022). Temporal expectation based on the duration variability modulates alpha oscillations during working memory retention. NeuroImage. 265. 119789–119789. 5 indexed citations
4.
Li, Chunhui, et al.. (2021). The effects of stimulus inversion on the neural representations of Chinese character and face recognition. Neuropsychologia. 164. 108090–108090. 3 indexed citations
5.
Kuo, Bo-Cheng, et al.. (2018). Functional interplay of top-down attention with affective codes during visual short-term memory maintenance. Cortex. 103. 55–70. 7 indexed citations
6.
Kuo, Bo-Cheng, et al.. (2017). Top-down modulation of alpha power and pattern similarity for threatening representations in visual short-term memory. Neuropsychologia. 106. 21–30. 9 indexed citations
7.
Kuo, Bo-Cheng, Anna C. Nobre, Gaia Scerif, & Duncan E. Astle. (2016). Top–Down Activation of Spatiotopic Sensory Codes in Perceptual and Working Memory Search. Journal of Cognitive Neuroscience. 28(7). 996–1009. 14 indexed citations
8.
Kuo, Bo-Cheng. (2016). Selection History Modulates Working Memory Capacity. Frontiers in Psychology. 7. 1564–1564. 2 indexed citations
9.
Kuo, Bo-Cheng & Duncan E. Astle. (2014). Neural Mechanisms by Which Attention Modulates the Comparison of Remembered and Perceptual Representations. PLoS ONE. 9(1). e86666–e86666. 5 indexed citations
10.
Astle, Duncan E., Henry Luckhoo, Mark W. Woolrich, et al.. (2014). The Neural Dynamics of Fronto-Parietal Networks in Childhood Revealed using Magnetoencephalography. Cerebral Cortex. 25(10). 3868–3876. 22 indexed citations
11.
Shimi, Andria, Bo-Cheng Kuo, Duncan E. Astle, Anna C. Nobre, & Gaia Scerif. (2013). Age Group and Individual Differences in Attentional Orienting Dissociate Neural Mechanisms of Encoding and Maintenance in Visual STM. Journal of Cognitive Neuroscience. 26(4). 864–877. 28 indexed citations
12.
Kuo, Bo-Cheng, et al.. (2011). Chinese characters elicit face-like N170 inversion effects. Brain and Cognition. 77(3). 419–431. 30 indexed citations
13.
Kuo, Bo-Cheng, Pia Rotshtein, & Yei‐Yu Yeh. (2011). Attentional modulation of perceptual comparison for feature binding. Brain and Cognition. 77(3). 335–344. 6 indexed citations
14.
Kuo, Bo-Cheng, Yei‐Yu Yeh, Anthony J.-W. Chen, & Mark D’Esposito. (2011). Functional connectivity during top-down modulation of visual short-term memory representations. Neuropsychologia. 49(6). 1589–1596. 50 indexed citations
15.
Kuo, Bo-Cheng, Mark G. Stokes, & Anna C. Nobre. (2011). Attention Modulates Maintenance of Representations in Visual Short-term Memory. Journal of Cognitive Neuroscience. 24(1). 51–60. 147 indexed citations
16.
Kuo, Bo-Cheng, Anling Rao, Jöran Lepsien, & Anna C. Nobre. (2009). Searching for Targets within the Spatial Layout of Visual Short-Term Memory. Journal of Neuroscience. 29(25). 8032–8038. 135 indexed citations
17.
Astle, Duncan E., et al.. (2009). Spatial Selection of Features within Perceived and Remembered Objects. SSRN Electronic Journal. 3 indexed citations
18.
Wang, Chi‐Hong, Yau‐Yau Wai, Bo-Cheng Kuo, Yei‐Yu Yeh, & Jiun‐Jie Wang. (2008). Cortical control of gait in healthy humans: an fMRI study. Journal of Neural Transmission. 115(8). 1149–1158. 69 indexed citations
19.
Kuo, Bo-Cheng, et al.. (2008). The capacity constraint in the prefrontal and parietal regions for coordinating dual arithmetic tasks. Brain Research. 1199. 100–110. 13 indexed citations
20.
Yeh, Yei‐Yu, Bo-Cheng Kuo, & Ho‐Ling Liu. (2006). The neural correlates of attention orienting in visuospatial working memory for detecting feature and conjunction changes. Brain Research. 1130(1). 146–157. 31 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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