Chia-Chun Hung

11 total papers · 11.5k total citations
5 papers, 254 citations indexed

About

Chia-Chun Hung is a scholar working on Cognitive Neuroscience, Molecular Biology and Social Psychology. According to data from OpenAlex, Chia-Chun Hung has authored 5 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 2 papers in Molecular Biology and 2 papers in Social Psychology. Recurrent topics in Chia-Chun Hung's work include Visual perception and processing mechanisms (2 papers), Neural dynamics and brain function (2 papers) and Primate Behavior and Ecology (2 papers). Chia-Chun Hung is often cited by papers focused on Visual perception and processing mechanisms (2 papers), Neural dynamics and brain function (2 papers) and Primate Behavior and Ecology (2 papers). Chia-Chun Hung collaborates with scholars based in United States, Canada and Japan. Chia-Chun Hung's co-authors include Charles E. Connor, Eric T. Carlson, Daniel Papoti, Afonso C. Silva, Nicholas A. Bock, Cecil Chern‐Chyi Yen, David A. Leopold, Brian E. Russ and Piotr Majka and has published in prestigious journals such as Neuron, Journal of Neuroscience and NeuroImage.

In The Last Decade

Chia-Chun Hung

5 papers receiving 248 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chia-Chun Hung	218	54	39	34	33	5	254
Marc M. Himmelberg	242 1.1×	33 0.6×	35 0.9×	27 0.8×	33 1.0×	15	302
Jason Atlas	217 1.0×	26 0.5×	8 0.2×	78 2.3×	20 0.6×	4	304
S. Martinez-Conde	241 1.1×	23 0.4×	23 0.6×	18 0.5×	50 1.5×	9	323
Deborah Ross	291 1.3×	31 0.6×	9 0.2×	17 0.5×	40 1.2×	12	328
William T. Wojtach	178 0.8×	35 0.6×	26 0.7×	7 0.2×	19 0.6×	9	206
Caleb Sponheim	171 0.8×	17 0.3×	16 0.4×	93 2.7×	53 1.6×	4	252
Hongliang Gong	192 0.9×	21 0.4×	24 0.6×	13 0.4×	54 1.6×	13	262
Mason McGill	192 0.9×	27 0.5×	114 2.9×	5 0.1×	23 0.7×	3	302
Joaquín Valdés	147 0.7×	19 0.4×	16 0.4×	13 0.4×	22 0.7×	14	239
Mads Hansen	260 1.2×	64 1.2×	15 0.4×	13 0.4×	9 0.3×	9	307

Countries citing papers authored by Chia-Chun Hung

Since Specialization

Citations

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

Fields of papers citing papers by Chia-Chun Hung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Chun Hung. 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 Chia-Chun Hung. The network helps show where Chia-Chun Hung may publish in the future.

Co-authorship network of co-authors of Chia-Chun Hung

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

All Works

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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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