Chun-An Chou

973 total citations
50 papers, 629 citations indexed

About

Chun-An Chou is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Chun-An Chou has authored 50 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 12 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Chun-An Chou's work include Neural dynamics and brain function (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Healthcare Operations and Scheduling Optimization (5 papers). Chun-An Chou is often cited by papers focused on Neural dynamics and brain function (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Healthcare Operations and Scheduling Optimization (5 papers). Chun-An Chou collaborates with scholars based in United States, China and Taiwan. Chun-An Chou's co-authors include Miaolin Fan, Sina Khanmohammadi, W. Art Chaovalitwongse, Salih Tutun, Jr-Shin Li, Shuo Wang, Albert C. Yang, Jong‐Ling Fuh, Prahalada Rao and Zhenyu Kong and has published in prestigious journals such as PLoS ONE, Scientific Reports and Energy Policy.

In The Last Decade

Chun-An Chou

45 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun-An Chou United States 14 238 96 93 67 67 50 629
André L. V. Coelho Brazil 14 224 0.9× 306 3.2× 155 1.7× 30 0.4× 60 0.9× 58 710
Baha Şen Türkiye 14 366 1.5× 220 2.3× 233 2.5× 44 0.7× 44 0.7× 62 1.0k
Anton Kos Slovenia 20 89 0.4× 147 1.5× 48 0.5× 23 0.3× 144 2.1× 91 1.2k
Saman Sargolzaei United States 15 193 0.8× 107 1.1× 44 0.5× 24 0.4× 80 1.2× 43 897
Javier Sedano Spain 16 58 0.2× 199 2.1× 82 0.9× 73 1.1× 118 1.8× 65 698
Ahmed Faeq Hussein Iraq 17 235 1.0× 57 0.6× 56 0.6× 10 0.1× 117 1.7× 28 938
Guoliang Lu China 18 108 0.5× 163 1.7× 126 1.4× 29 0.4× 53 0.8× 64 903
Duarte Folgado Portugal 13 91 0.4× 242 2.5× 156 1.7× 34 0.5× 85 1.3× 36 804
Ali Hassan Pakistan 19 313 1.3× 279 2.9× 314 3.4× 17 0.3× 93 1.4× 91 1.1k
Marília Barandas Portugal 14 77 0.3× 226 2.4× 155 1.7× 20 0.3× 165 2.5× 31 779

Countries citing papers authored by Chun-An Chou

Since Specialization
Citations

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

Fields of papers citing papers by Chun-An Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun-An Chou

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-An Chou. A scholar is included among the top collaborators of Chun-An Chou 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 Chun-An Chou. Chun-An Chou 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.
2.
Chou, Chun-An, et al.. (2023). Multi-event survival analysis through dynamic multi-modal learning for ICU mortality prediction. Computer Methods and Programs in Biomedicine. 235. 107545–107545.
3.
Chou, Chun-An, et al.. (2023). A reinforcement learning-based optimal control approach for managing an elective surgery backlog after pandemic disruption. Health Care Management Science. 26(3). 430–446. 7 indexed citations
4.
Denson, Thomas F., et al.. (2022). Using citation network analysis to enhance scholarship in psychological science: A case study of the human aggression literature. PLoS ONE. 17(4). e0266513–e0266513. 2 indexed citations
5.
Chou, Chun-An, et al.. (2022). Deep multi-modal learning for joint linear representation of nonlinear dynamical systems. Scientific Reports. 12(1). 12807–12807. 2 indexed citations
6.
Yen, Sheng‐Che, et al.. (2022). Recurrence Quantification Analysis of Ankle Kinematics During Gait in Individuals With Chronic Ankle Instability. Frontiers in Sports and Active Living. 4. 893745–893745. 4 indexed citations
7.
Yen, Sheng‐Che, et al.. (2021). Association Rule Mining to Examine Predictors for the Outcome of Gait Rehabilitation Programs in Stroke Survivors. American Journal of Physical Medicine & Rehabilitation. 101(6). 609–614.
8.
Chou, Chun-An, et al.. (2021). Detecting Epileptic Seizures via Non-Uniform Multivariate Embedding of EEG Signals. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 1690–1693. 4 indexed citations
9.
Chou, Chun-An, et al.. (2021). A Koopman-operator-theoretical approach for anomaly recognition and detection of multi-variate EEG system. Biomedical Signal Processing and Control. 69. 102911–102911. 13 indexed citations
10.
Chou, Chun-An, et al.. (2021). A combinatorial optimization approach for multi-label associative classification. Knowledge-Based Systems. 240. 108088–108088. 4 indexed citations
11.
Wang, Shuo, et al.. (2020). Real-time Inference and Detection of Disruptive EEG Networks for Epileptic Seizures. Scientific Reports. 10(1). 8653–8653. 44 indexed citations
12.
Khalaf, Aya, Miaolin Fan, Yu Yin, et al.. (2019). Analysis of multimodal physiological signals within and between individuals to predict psychological challenge vs. threat. Expert Systems with Applications. 140. 112890–112890. 17 indexed citations
13.
Li, Debiao, Siping Chen, Xiaoqiang Chen, & Chun-An Chou. (2019). Learning and Optimizing for the Patient-Physician Matching Problem in Specialty Care. SSRN Electronic Journal. 1 indexed citations
14.
Fan, Miaolin, Albert C. Yang, Jong‐Ling Fuh, & Chun-An Chou. (2018). Topological Pattern Recognition of Severe Alzheimer's Disease via Regularized Supervised Learning of EEG Complexity. Frontiers in Neuroscience. 12. 685–685. 41 indexed citations
15.
Tootooni, M. Samie, Prahalada Rao, Chun-An Chou, & Zhenyu Kong. (2016). A Spectral Graph Theoretic Approach for Monitoring Multivariate Time Series Data From Complex Dynamical Processes. IEEE Transactions on Automation Science and Engineering. 15(1). 127–144. 41 indexed citations
16.
Chou, Chun-An, et al.. (2016). Primary acute stroke thrombectomy within 3 h for large artery occlusion (PAST3-LAO): a pilot study. Journal of NeuroInterventional Surgery. 9(4). 352–356. 2 indexed citations
17.
Fan, Miaolin & Chun-An Chou. (2016). Exploring stability-based voxel selection methods in MVPA using cognitive neuroimaging data: a comprehensive study. Brain Informatics. 3(3). 193–203. 6 indexed citations
18.
Khanmohammadi, Sina, Chun-An Chou, Harold W. Lewis, & Doug Elias. (2014). A systems approach for scheduling aircraft landings in JFK airport. 1578–1585. 24 indexed citations
19.
Chou, Chun-An. (2011). Mathematical optimization methods for clustering and classification with biological and medical applications. Rutgers University Community Repository (Rutgers University). 1 indexed citations
20.
Hare, Kevin G., Don P. Wilson, Peter Horák, et al.. (1996). JAZ volume 61 issue 1 Cover and Front matter. Journal of the Australian Mathematical Society Series A Pure Mathematics and Statistics. 61(1). f1–f2. 1 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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