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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Systems approaches to optimizing deep brain stimulation therapies in Parkinson’s disease
Sabato Santaniello, John T. Gale, Sridevi V. Sarma
WIREs Systems Biology and Medicine (2018) Vol. 10, Iss. 5
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

A review of computational modeling and deep brain stimulation: applications to Parkinson’s disease
Ying Yu, Xiaomin Wang, Qishao Wang, et al.
Applied Mathematics and Mechanics (2020) Vol. 41, Iss. 12, pp. 1747-1768
Open Access | Times Cited: 60
Adaptive delivery of continuous and delayed feedback deep brain stimulation - a computational study
Oleksandr V. Popovych, Peter A. Tass
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 43
The expanding horizons of network neuroscience: From description to prediction and control
Pragya Srivastava, Panagiotis Fotiadis, Linden Parkes, et al.
NeuroImage (2022) Vol. 258, pp. 119250-119250
Open Access | Times Cited: 23
Models of communication and control for brain networks: distinctions, convergence, and future outlook
Pragya Srivastava, Erfan Nozari, Jason Z. Kim, et al.
Network Neuroscience (2020) Vol. 4, Iss. 4, pp. 1122-1159
Open Access | Times Cited: 33
Exploring phase–amplitude coupling from primary motor cortex-basal ganglia–thalamus network model
Ying Yu, Fang Han, Qingyun Wang
Neural Networks (2022) Vol. 153, pp. 130-141
Closed Access | Times Cited: 21
Towards biomarker-based optimization of deep brain stimulation in Parkinson’s disease patients
Jana Peeters, Alexandra Boogers, Tine Van Bogaert, et al.
Frontiers in Neuroscience (2023) Vol. 16
Open Access | Times Cited: 11
Model-based optimized phase-deviation deep brain stimulation for Parkinson ’s disease
Ying Yu, Yuqing Hao, Qingyun Wang
Neural Networks (2019) Vol. 122, pp. 308-319
Closed Access | Times Cited: 32
Role of the globus pallidus in motor and non-motor symptoms of Parkinson’s disease
Yi‐Miao Jiang, Zengxin Qi, Hui‐Xian Zhu, et al.
Neural Regeneration Research (2024) Vol. 20, Iss. 6, pp. 1628-1643
Open Access | Times Cited: 3
Stretchable and Soft Organic–Ionic Devices for Body‐Integrated Electronic Systems
Young Jin Jo, Jehyung Ok, Soo Young Kim, et al.
Advanced Materials Technologies (2021) Vol. 7, Iss. 2
Closed Access | Times Cited: 22
Digital Health Integration With Neuromodulation Therapies: The Future of Patient-Centric Innovation in Neuromodulation
Yagna Pathak, W Greenleaf, Leo Verhagen Metman, et al.
Frontiers in Digital Health (2021) Vol. 3
Open Access | Times Cited: 19
Optimizing deep brain stimulation based on isostable amplitude in essential tremor patient models
Benoit Duchet, Gihan Weerasinghe, Christian Bick, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 4, pp. 046023-046023
Open Access | Times Cited: 11
Current Steering Using Multiple Independent Current Control Deep Brain Stimulation Technology Results in Distinct Neurophysiological Responses in Parkinson’s Disease Patients
Jana Peeters, Alexandra Boogers, Tine Van Bogaert, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 6
Model-based Quantitative optimization of deep brain stimulation and prediction of Parkinson’s states
Jian Song, Shenquan Liu, Hui Lin
Neuroscience (2022) Vol. 498, pp. 105-124
Closed Access | Times Cited: 5
Multiscale Brain Network Models and Their Applications in Neuropsychiatric Diseases
Meili Lu, Zhaohua Guo, Zicheng Gao, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3468-3468
Open Access | Times Cited: 5
Controlling phase synchrony in the mean field coupled Hindmarsh–Rose neurons
T. Remi, P. A. Subha, K. Usha
International Journal of Modern Physics C (2021) Vol. 33, Iss. 05
Closed Access | Times Cited: 6
Developing control-theoretic objectives for large-scale brain dynamics and cognitive enhancement
Matthew F. Singh, Michael W. Cole, Todd S. Braver, et al.
Annual Reviews in Control (2022) Vol. 54, pp. 363-376
Open Access | Times Cited: 4
An Argument in Favor of Deep Brain Stimulation for Uncommon Movement Disorders: The Case for N-of-1 Trials in Holmes Tremor
Marcelo Mendonça, Gonçalo Cotovio, Raquel Barbosa, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 3
Neuroinflammation, glymphatic system, and Parkinson's disease
Sohaila Mohammed Salah Saleh, Nada Nasser, Engy K. Tharwat, et al.
Elsevier eBooks (2024), pp. 3-27
Closed Access
Robust adaptive deep brain stimulation control of in-silico non-stationary Parkinsonian neural oscillatory dynamics
Hao Fang, Stephen Berman, Yueming Wang, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036043-036043
Closed Access
Optimal and Adaptive Stimulation Design
Xu Zhang, Sabato Santaniello
Handbook of Neuroengineering (2023), pp. 1993-2056
Closed Access | Times Cited: 1
The future of therapeutic peripheral nerve stimulation for chronic pain
Christine Beauchene, Claire Zurn, Wanru Duan, et al.
Annual Reviews in Control (2022) Vol. 54, pp. 377-385
Closed Access | Times Cited: 2
A mixed integer linear programming framework for improving cortical vision prosthesis designs
Gehan Abouelseoud, Yasmine Abouelseoud, Amin Shoukry, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104253-104253
Closed Access | Times Cited: 2
Application of Normalized Compression Distance and Lempel-Ziv Jaccard Distance in Micro-electrode Signal Stream Classification for the Surgical Treatment of Parkinson’s Disease
Kamil Ząbkiewicz
Studies in Logic Grammar and Rhetoric (2018) Vol. 56, Iss. 1, pp. 45-57
Open Access | Times Cited: 1
Subthalamic nucleus deep brain stimulation programming settings do not correlate with Parkinson’s disease severity
Rena Far, Ignacio Sáez, Angela Sardo, et al.
Acta Neurochirurgica (2022) Vol. 164, Iss. 9, pp. 2271-2278
Closed Access | Times Cited: 1
Optimal and Adaptive Stimulation Design
Xu Zhang, Sabato Santaniello
Handbook of Neuroengineering (2022), pp. 1-64
Closed Access
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