Chia‐Han Chiang

1.3k total citations
20 papers, 340 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 340 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, Robert C. Froemke, Michele N. Insanally and Jinghua Li 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

19 papers receiving 337 citations

Peers

Chia‐Han Chiang

CMN

EEE

Abdullah Akce United States

Fabien Sauter-Starace France

Shaojun Xiao Hong Kong

Stefan Griebel Germany

Zhanghao Yu United States

Elissa Welle United States

Yong Ho Kwon South Korea

Erdrin Azemi United States

Longchun Wang China

Abdullah Akce United States

Chia‐Han Chiang

135 ×0.7

CMN

224 ×1.4

231 ×1.8

85 ×0.7

EEE

75 ×1.1

Citations per year, relative to Chia‐Han Chiang Chia‐Han Chiang (= 1×) peers Abdullah Akce

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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20 of 20 papers shown

Hilliard, Justin D., et al.. (2024). Cerebellar activity in PINK1 knockout rats during volitional gait. Brain Communications. 6(5). fcae249–fcae249. 1 indexed citations

Ho, Katherine, et al.. (2024). Cerebellar activity in hemi-parkinsonian rats during volitional gait and freezing. Brain Communications. 6(5). fcae246–fcae246. 2 indexed citations

Trumpis, Michael, Chia‐Han Chiang, Charles Wang, et al.. (2024). High-density cortical µECoG arrays concurrently track spreading depolarizations and long-term evolution of stroke in awake rats. Communications Biology. 7(1). 263–263. 1 indexed citations

Rahimpour, Shervin, Chia‐Han Chiang, Michael Trumpis, et al.. (2023). High-resolution neural recordings improve the accuracy of speech decoding. Nature Communications. 14(1). 6938–6938. 30 indexed citations

Seo, Kyung Jin, Chia‐Han Chiang, Yi Qiang, et al.. (2023). A soft, high-density neuroelectronic array. npj Flexible Electronics. 7(1). 20 indexed citations

Aras, Kedar, Ndeye Rokhaya Faye, Jaclyn A. Brennan, et al.. (2022). Electrophysiology and Arrhythmogenesis in the Human Right Ventricular Outflow Tract. eScholarship (California Digital Library). 14 indexed citations

Reiche, Christopher F., Katrina Barth, Chia‐Han Chiang, et al.. (2022). Flexural bending to approximate cortical forces exerted by electrocorticography (ECoG) arrays. Journal of Neural Engineering. 19(4). 46041–46041. 5 indexed citations

Chiang, Chia‐Han, Charles Wang, Michael Trumpis, et al.. (2022). High-Density, Actively Multiplexed µECoG Array on Reinforced Silicone Substrate. Frontiers in Nanotechnology. 4. 8 indexed citations

Chiang, Chia‐Han, et al.. (2021). Motion Planning of Autonomous Vehicle for Illegal Parked Vehicles at No Parking Area. 2 indexed citations

10.

Trumpis, Michael, Chia‐Han Chiang, Amy L. Orsborn, et al.. (2020). Sufficient sampling for kriging prediction of cortical potential in rat, monkey, and human µECoG. Journal of Neural Engineering. 18(3). 36011–36011. 10 indexed citations

11.

Chiang, Chia‐Han, Jaejin Lee, Charles Wang, et al.. (2020). A modular high-density μ ECoG system on macaque vlPFC for auditory cognitive decoding. Journal of Neural Engineering. 17(4). 46008–46008. 10 indexed citations

12.

Li, Jinghua, Rui Li, Chia‐Han Chiang, et al.. (2019). Ultrathin, High Capacitance Capping Layers for Silicon Electronics with Conductive Interconnects in Flexible, Long‐Lived Bioimplants. Advanced Materials Technologies. 5(1). 16 indexed citations

13.

Song, Enming, Chia‐Han Chiang, Rui Li, et al.. (2019). Flexible electronic/optoelectronic microsystems with scalable designs for chronic biointegration. Proceedings of the National Academy of Sciences. 116(31). 15398–15406. 77 indexed citations

14.

Bent, Brinnae, et al.. (2019). Simultaneous Recording and Stimulation Instrumentation for Closed Loop Spinal Cord Stimulation. 694–697.

15.

Li, Jinghua, Enming Song, Chia‐Han Chiang, et al.. (2018). Conductively coupled flexible silicon electronic systems for chronic neural electrophysiology. Proceedings of the National Academy of Sciences. 115(41). E9542–E9549. 52 indexed citations

16.

Woods, Virginia, Michael Trumpis, Brinnae Bent, et al.. (2018). Long-term recording reliability of liquid crystal polymer µECoG arrays. Journal of Neural Engineering. 15(6). 66024–66024. 48 indexed citations

17.

Fletcher, Alyson K., Sundeep Rangan, Michael Trumpis, et al.. (2018). Low-Rank Nonlinear Decoding of μ-ECoG from the Primary Auditory Cortex. 1 indexed citations

18.

Trumpis, Michael, et al.. (2018). A Novel µECoG Electrode Interface for Comparison of Local and Common Averaged Referenced Signals. PubMed. 2016. 5057–5060. 2 indexed citations

19.

Woods, Virginia, et al.. (2016). In vitro assessment of long-term reliability of low-cost μΕCoG arrays. PubMed. 2016. 4503–4506. 10 indexed citations

20.

Insanally, Michele N., Michael Trumpis, Charles Wang, et al.. (2016). A low-cost, multiplexedμECoG system for high-density recordings in freely moving rodents. Journal of Neural Engineering. 13(2). 26030–26030. 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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