Zenas C. Chao

1.5k total citations
40 papers, 937 citations indexed

About

Zenas C. Chao is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Zenas C. Chao has authored 40 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 18 papers in Cellular and Molecular Neuroscience and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Zenas C. Chao's work include Neural dynamics and brain function (33 papers), Neuroscience and Neural Engineering (18 papers) and Advanced Memory and Neural Computing (12 papers). Zenas C. Chao is often cited by papers focused on Neural dynamics and brain function (33 papers), Neuroscience and Neural Engineering (18 papers) and Advanced Memory and Neural Computing (12 papers). Zenas C. Chao collaborates with scholars based in Japan, United States and Taiwan. Zenas C. Chao's co-authors include Steve M. Potter, Douglas J. Bakkum, Naotaka Fujii, Radhika Madhavan, Yasuo Nagasaka, Stanislas Dehaene, Liping Wang, Kana Takaura, Naomi Hasegawa and Daniel A. Wagenaar and has published in prestigious journals such as Neuron, PLoS ONE and Scientific Reports.

In The Last Decade

Zenas C. Chao

38 papers receiving 908 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zenas C. Chao Japan 15 775 512 214 85 52 40 937
Shabnam Kadir United Kingdom 6 804 1.0× 593 1.2× 106 0.5× 51 0.6× 26 0.5× 10 966
George H. Denfield United States 9 1.4k 1.7× 753 1.5× 116 0.5× 42 0.5× 63 1.2× 17 1.5k
Baktash Babadi United States 11 488 0.6× 356 0.7× 127 0.6× 36 0.4× 17 0.3× 16 687
Cesare Magri Germany 10 967 1.2× 411 0.8× 73 0.3× 26 0.3× 70 1.3× 15 1.1k
John S. Pezaris United States 13 1.1k 1.4× 859 1.7× 329 1.5× 55 0.6× 22 0.4× 25 1.3k
Henrik Lindén Norway 15 1.0k 1.3× 730 1.4× 158 0.7× 52 0.6× 13 0.3× 27 1.2k
Justin Foster United States 8 1.2k 1.6× 684 1.3× 234 1.1× 268 3.2× 13 0.3× 18 1.4k
Roland E. Suri Switzerland 12 611 0.8× 336 0.7× 87 0.4× 99 1.2× 30 0.6× 25 882
Josh Chartier United States 4 797 1.0× 315 0.6× 214 1.0× 92 1.1× 66 1.3× 5 1.0k
Kristofer E. Bouchard United States 17 813 1.0× 331 0.6× 115 0.5× 44 0.5× 160 3.1× 53 1.3k

Countries citing papers authored by Zenas C. Chao

Since Specialization
Citations

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

Fields of papers citing papers by Zenas C. Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zenas C. Chao. 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 Zenas C. Chao. The network helps show where Zenas C. Chao may publish in the future.

Co-authorship network of co-authors of Zenas C. Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Zenas C. Chao. A scholar is included among the top collaborators of Zenas C. Chao 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 Zenas C. Chao. Zenas C. Chao 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.
Yaron, Amit, et al.. (2025). Dissociated neuronal cultures as model systems for self-organized prediction. PubMed. 19. 1568652–1568652. 2 indexed citations
2.
Zhang, Zhuo, et al.. (2025). Deviance detection and regularity sensitivity in dissociated neuronal cultures. Frontiers in Neural Circuits. 19. 1584322–1584322.
3.
Yaron, Amit, et al.. (2025). Auditory cortex neurons that encode negative prediction errors respond to omissions of sounds in a predictable sequence. PLoS Biology. 23(6). e3003242–e3003242. 1 indexed citations
4.
Chao, Zenas C., et al.. (2024). Multivariate sharp‐wave ripples in schizophrenia during awake state. Psychiatry and Clinical Neurosciences. 78(9). 507–516. 3 indexed citations
5.
Wu, Chien‐Te, et al.. (2024). Dissecting Mismatch Negativity: Early and Late Subcomponents for Detecting Deviants in Local and Global Sequence Regularities. eNeuro. 11(5). ENEURO.0050–24.2024. 5 indexed citations
6.
Wu, Chien‐Te, et al.. (2024). Crossmodal hierarchical predictive coding for audiovisual sequences in the human brain. Communications Biology. 7(1). 965–965. 1 indexed citations
7.
Chao, Zenas C., et al.. (2023). Short-term neuronal and synaptic plasticity act in synergy for deviance detection in spiking networks. PLoS Computational Biology. 19(10). e1011554–e1011554. 3 indexed citations
8.
Chao, Zenas C., et al.. (2022). Altered coordination between frontal delta and parietal alpha networks underlies anhedonia and depressive rumination in major depressive disorder. Journal of Psychiatry and Neuroscience. 47(6). E367–E378. 11 indexed citations
9.
Fukushima, M., Zenas C. Chao, & Naotaka Fujii. (2015). Studying brain functions with mesoscopic measurements: Advances in electrocorticography for non-human primates. Current Opinion in Neurobiology. 32. 124–131. 14 indexed citations
10.
Komatsu, Misako, et al.. (2014). An artificial network model for estimating the network structure underlying partially observed neuronal signals. Neuroscience Research. 81-82. 69–77. 2 indexed citations
11.
Nagasaka, Yasuo, et al.. (2013). Spontaneous synchronization of arm motion between Japanese macaques. Scientific Reports. 3(1). 1151–1151. 46 indexed citations
12.
Nagasaka, Yasuo, et al.. (2012). Decoding continuous three-dimensional hand trajectories from epidural electrocorticographic signals in Japanese macaques. Journal of Neural Engineering. 9(3). 36015–36015. 81 indexed citations
13.
Gerven, Marcel van, Zenas C. Chao, & Tom Heskes. (2012). On the decoding of intracranial data using sparse orthonormalized partial least squares. Journal of Neural Engineering. 9(2). 26017–26017. 17 indexed citations
14.
Chao, Zenas C., Douglas J. Bakkum, & Steve M. Potter. (2008). Shaping Embodied Neural Networks for Adaptive Goal-directed Behavior. PLoS Computational Biology. 4(3). e1000042–e1000042. 53 indexed citations
15.
Bakkum, Douglas J., et al.. (2007). Embodying Cultured Networks with a Robotic Drawing Arm. PubMed. 2007. 2996–2999. 15 indexed citations
16.
Bakkum, Douglas J., Zenas C. Chao, & Steve M. Potter. (2007). Adaptive Goal-Directed Behavior in Embodied Cultured Networks: Living Neuronal Networks and a Simulated Model. 46–49. 7 indexed citations
17.
Chao, Zenas C., Douglas J. Bakkum, & Steve M. Potter. (2007). Region-specific network plasticity in simulated and living cortical networks: comparison of the center of activity trajectory (CAT) with other statistics. Journal of Neural Engineering. 4(3). 294–308. 44 indexed citations
18.
Lobb, Collin J., Zenas C. Chao, R.M. Fujimoto, & Steve M. Potter. (2005). Parallel Event-Driven Neural Network Simulations Using the Hodgkin-Huxley Neuron Model. 16–25. 19 indexed citations
19.
Chao, Zenas C., Douglas J. Bakkum, Daniel A. Wagenaar, & Steve M. Potter. (2005). Effects of Random External Background Stimulation on Network Synaptic Stability After Tetanization: A Modeling Study. Neuroinformatics. 3(3). 263–280. 46 indexed citations
20.
DeMarse, Thomas B., Douglas J. Bakkum, Zenas C. Chao, et al.. (2004). HYBROTS: HYBRIDS OF LIVING NEURONS AND ROBOTS FOR STUDYING NEURAL COMPUTATION. 8 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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