Chung-Hay Luk

605 total citations
3 papers, 412 citations indexed

About

Chung-Hay Luk is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Chung-Hay Luk has authored 3 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cognitive Neuroscience, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Sensory Systems. Recurrent topics in Chung-Hay Luk's work include Neural dynamics and brain function (2 papers), Neural and Behavioral Psychology Studies (2 papers) and Advanced Chemical Sensor Technologies (1 paper). Chung-Hay Luk is often cited by papers focused on Neural dynamics and brain function (2 papers), Neural and Behavioral Psychology Studies (2 papers) and Advanced Chemical Sensor Technologies (1 paper). Chung-Hay Luk collaborates with scholars based in United States and Israel. Chung-Hay Luk's co-authors include Joni D. Wallis, Rehan M Khan, Amit Aggarwal, Noam Sobel, Adeen Flinker, Rafi Haddad and Hadas Lapid and has published in prestigious journals such as Journal of Neuroscience.

In The Last Decade

Chung-Hay Luk

3 papers receiving 407 citations

Peers

Chung-Hay Luk

SS

CN

BE

ND

CMN

Arnaud Fournel France

Dylan C. Barnes United States

Idan Frumin Israel

Brad Johnson United States

Kobi Snitz Israel

Anne-Lise Saive France

Ann‐Sophie Barwich United States

Jérôme Graux France

Catherine C. Balderston United States

Roberto Vincis United States

Arnaud Fournel France

Chung-Hay Luk

286 ×1.1

SS

82 ×0.6

CN

188 ×1.3

BE

139 ×1.2

ND

71 ×0.6

CMN

Citations per year, relative to Chung-Hay Luk Chung-Hay Luk (= 1×) peers Arnaud Fournel

Countries citing papers authored by Chung-Hay Luk

Since Specialization

Citations

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

Fields of papers citing papers by Chung-Hay Luk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung-Hay Luk. 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 Chung-Hay Luk. The network helps show where Chung-Hay Luk may publish in the future.

Co-authorship network of co-authors of Chung-Hay Luk

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

All Works

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3 of 3 papers shown

1.

Luk, Chung-Hay & Joni D. Wallis. (2013). Choice Coding in Frontal Cortex during Stimulus-Guided or Action-Guided Decision-Making. Journal of Neuroscience. 33(5). 1864–1871. 71 indexed citations

2.

Luk, Chung-Hay & Joni D. Wallis. (2009). Dynamic Encoding of Responses and Outcomes by Neurons in Medial Prefrontal Cortex. Journal of Neuroscience. 29(23). 7526–7539. 59 indexed citations

3.

Khan, Rehan M, Chung-Hay Luk, Adeen Flinker, et al.. (2007). Predicting Odor Pleasantness from Odorant Structure: Pleasantness as a Reflection of the Physical World. Journal of Neuroscience. 27(37). 10015–10023. 282 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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