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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:

Model-Based Comparison of Deep Brain Stimulation Array Functionality with Varying Number of Radial Electrodes and Machine Learning Feature Sets
Benjamin A. Teplitzky, Laura Zitella Verbick, YiZi Xiao, et al.
Frontiers in Computational Neuroscience (2016) Vol. 10
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Directional DBS increases side‐effect thresholds—A prospective, double‐blind trial
Till A. Dembek, Paul Reker, Veerle Visser‐Vandewalle, et al.
Movement Disorders (2017) Vol. 32, Iss. 10, pp. 1380-1388
Closed Access | Times Cited: 210
An update on best practice of deep brain stimulation in Parkinson’s disease
Christian J. Hartmann, Sabine Fliegen, Stefan Jun Groiss, et al.
Therapeutic Advances in Neurological Disorders (2019) Vol. 12
Open Access | Times Cited: 128
Update on Current Technologies for Deep Brain Stimulation in Parkinson’s Disease
Michelle Paff, Aaron Loh, Can Sarica, et al.
Journal of Movement Disorders (2020) Vol. 13, Iss. 3, pp. 185-198
Open Access | Times Cited: 84
Precision electronic medicine in the brain
Shaun R. Patel, Charles M. Lieber
Nature Biotechnology (2019) Vol. 37, Iss. 9, pp. 1007-1012
Open Access | Times Cited: 81
Proceedings of the Eighth Annual Deep Brain Stimulation Think Tank: Advances in Optogenetics, Ethical Issues Affecting DBS Research, Neuromodulatory Approaches for Depression, Adaptive Neurostimulation, and Emerging DBS Technologies
Vinata Vedam‐Mai, Karl Deisseroth, James Giordano, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 62
Deep Brain Stimulation in Parkinson’s Disease
Andrés M. Lozano, Alfonso Fasano, Lennart Stieglitz
Cambridge University Press eBooks (2025), pp. 316-327
Closed Access | Times Cited: 1
DiODe: Directional Orientation Detection of Segmented Deep Brain Stimulation Leads: A Sequential Algorithm Based on CT Imaging
Alexandra Hellerbach, Till A. Dembek, Mauritius Hoevels, et al.
Stereotactic and Functional Neurosurgery (2018) Vol. 96, Iss. 5, pp. 335-341
Closed Access | Times Cited: 79
Evolving Applications, Technological Challenges and Future Opportunities in Neuromodulation: Proceedings of the Fifth Annual Deep Brain Stimulation Think Tank
Adolfo Ramirez‐Zamora, James J. Giordano, Aysegul Gunduz, et al.
Frontiers in Neuroscience (2018) Vol. 11
Open Access | Times Cited: 69
Determining the orientation angle of directional leads for deep brain stimulation using computed tomography and digital x‐ray imaging: A phantom study
Alexander Sitz, Mauritius Hoevels, Alexandra Hellerbach, et al.
Medical Physics (2017) Vol. 44, Iss. 9, pp. 4463-4473
Closed Access | Times Cited: 66
Role of Soft-Tissue Heterogeneity in Computational Models of Deep Brain Stimulation
Bryan Lad Howell, Cameron C. McIntyre
Brain stimulation (2016) Vol. 10, Iss. 1, pp. 46-50
Open Access | Times Cited: 62
Particle swarm optimization for programming deep brain stimulation arrays
Edgar Peña, Simeng Zhang, Steve Deyo, et al.
Journal of Neural Engineering (2017) Vol. 14, Iss. 1, pp. 016014-016014
Open Access | Times Cited: 60
Thinking Small: Progress on Microscale Neurostimulation Technology
Joseph J. Pancrazio, Felix Deku, Atefeh Ghazavi, et al.
Neuromodulation Technology at the Neural Interface (2017) Vol. 20, Iss. 8, pp. 745-752
Open Access | Times Cited: 60
A review on microelectrode recording selection of features for machine learning in deep brain stimulation surgery for Parkinson’s disease
Kai Rui Wan, Tomasz Maszczyk, Angela An Qi See, et al.
Clinical Neurophysiology (2018) Vol. 130, Iss. 1, pp. 145-154
Closed Access | Times Cited: 51
An Institutional Experience of Directional Deep Brain Stimulation and a Review of the Literature
Akash Mishra, Prashin Unadkat, Joshua D. McBriar, et al.
Neuromodulation Technology at the Neural Interface (2023) Vol. 27, Iss. 3, pp. 544-550
Closed Access | Times Cited: 12
Design andin vivoevaluation of more efficient and selective deep brain stimulation electrodes
Bryan Lad Howell, Brian Huynh, Warren M. Grill
Journal of Neural Engineering (2015) Vol. 12, Iss. 4, pp. 046030-046030
Open Access | Times Cited: 35
Lateral cerebellothalamic tract activation underlies DBS therapy for Essential Tremor
AnneMarie Brinda, Julia P. Slopsema, Rebecca D. Butler, et al.
Brain stimulation (2023) Vol. 16, Iss. 2, pp. 445-455
Open Access | Times Cited: 9
Comparing Current Steering Technologies for Directional Deep Brain Stimulation Using a Computational Model That Incorporates Heterogeneous Tissue Properties
Simeng Zhang, Peter A. Silburn, Nader Pouratian, et al.
Neuromodulation Technology at the Neural Interface (2019) Vol. 23, Iss. 4, pp. 469-477
Open Access | Times Cited: 28
High density microelectrode recording predicts span of therapeutic tissue activation volumes in subthalamic deep brain stimulation for Parkinson disease
Charles W. Lu, Karlo A. Malaga, Kelvin L. Chou, et al.
Brain stimulation (2019) Vol. 13, Iss. 2, pp. 412-419
Open Access | Times Cited: 22
Avoiding Internal Capsule Stimulation With a New Eight-Channel Steering Deep Brain Stimulation Lead
Kees J. van Dijk, Rens Verhagen, Lo J. Bour, et al.
Neuromodulation Technology at the Neural Interface (2017) Vol. 21, Iss. 6, pp. 553-561
Open Access | Times Cited: 19
Orientation-selective and directional deep brain stimulation in swine assessed by functional MRI at 3T
Julia P. Slopsema, Antonietta Canna, Michelle Uchenik, et al.
NeuroImage (2020) Vol. 224, pp. 117357-117357
Open Access | Times Cited: 14
Computational modeling to advance deep brain stimulation for the treatment of Parkinson’s disease
Abbey B. Holt, Théoden I. Netoff
Drug Discovery Today Disease Models (2016) Vol. 19, pp. 31-36
Closed Access | Times Cited: 10
Brain modeling for control: A review
Gagan Acharya, Sebastian F. Ruf, Erfan Nozari
Frontiers in Control Engineering (2022) Vol. 3
Open Access | Times Cited: 7
Directional Deep Brain Stimulation in the Treatment of Parkinson's Disease
Akash Mishra, Ritesh Ramdhani
touchREVIEWS in Neurology (2022) Vol. 18, Iss. 1, pp. 64-64
Open Access | Times Cited: 6
Surgical Strategy for Directional Deep Brain Stimulation
Hiroshi Masuda, Hiroshi Shirozu, Yosuke Ito, et al.
Neurologia medico-chirurgica (2021) Vol. 62, Iss. 1, pp. 1-12
Open Access | Times Cited: 8
Neuroprosthesis Devices Based on Micro- and Nanosensors: A Systematic Review
Josefina Gutiérrez-Martínez, Cinthya Lourdes Toledo-Peral, Jorge A. Mercado-Gutiérrez, et al.
Journal of Sensors (2020) Vol. 2020, pp. 1-19
Open Access | Times Cited: 8
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