Chia‐Han Chiang

39 total papers · 1.3k total citations
20 papers, 329 citations indexed

About

Chia‐Han Chiang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Chia‐Han Chiang has authored 20 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Chia‐Han Chiang's work include Neuroscience and Neural Engineering (13 papers), Neural dynamics and brain function (7 papers) and EEG and Brain-Computer Interfaces (5 papers). Chia‐Han Chiang is often cited by papers focused on Neuroscience and Neural Engineering (13 papers), Neural dynamics and brain function (7 papers) and EEG and Brain-Computer Interfaces (5 papers). Chia‐Han Chiang collaborates with scholars based in United States, South Korea and China. Chia‐Han Chiang's co-authors include Jonathan Viventi, Michael Trumpis, Charles Wang, Virginia Woods, Enming Song, John A. Rogers, Ki Jun Yu, Michele N. Insanally, Robert C. Froemke and Charles Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neural Engineering.

In The Last Decade

Chia‐Han Chiang

18 papers receiving 327 citations

Author Peers

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

Author						Papers	Cites
Chia‐Han Chiang	185	151	121	120	67	20	329
Elissa Welle	264 1.4×	89 0.6×	180 1.5×	107 0.9×	43 0.6×	17	340
Stefan Griebel	179 1.0×	106 0.7×	227 1.9×	45 0.4×	38 0.6×	22	307
Baozeng Wang	61 0.3×	84 0.6×	153 1.3×	65 0.5×	35 0.5×	18	254
Lang Yin	52 0.3×	242 1.6×	109 0.9×	57 0.5×	75 1.1×	11	318
Longchun Wang	212 1.1×	142 0.9×	125 1.0×	112 0.9×	71 1.1×	35	333
Fabien Sauter-Starace	191 1.0×	140 0.9×	137 1.1×	105 0.9×	38 0.6×	18	333
Yuchen Xu	61 0.3×	243 1.6×	149 1.2×	68 0.6×	95 1.4×	22	343
Ilyoun Na	101 0.5×	219 1.5×	160 1.3×	65 0.5×	75 1.1×	6	335
Hodam Kim	38 0.2×	161 1.1×	115 1.0×	45 0.4×	32 0.5×	26	326
W. Haberer	142 0.8×	133 0.9×	47 0.4×	118 1.0×	23 0.3×	19	272

Countries citing papers authored by Chia‐Han Chiang

Since Specialization

Citations

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

Fields of papers citing papers by Chia‐Han Chiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Han Chiang. 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‐Han Chiang. The network helps show where Chia‐Han Chiang may publish in the future.

Co-authorship network of co-authors of Chia‐Han Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Han Chiang. A scholar is included among the top collaborators of Chia‐Han Chiang 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‐Han Chiang. Chia‐Han Chiang 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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