Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Optimized programming algorithm for cylindrical and directional deep brain stimulation electrodes
Daria Nesterovich Anderson, Braxton Osting, Johannes Vorwerk, et al.
Journal of Neural Engineering (2017) Vol. 15, Iss. 2, pp. 026005-026005
Open Access | Times Cited: 117

Showing 26-50 of 117 citing articles:

A Driving-Force Predictor for Estimating Pathway Activation in Patient-Specific Models of Deep Brain Stimulation
Bryan Lad Howell, Kabilar Gunalan, Cameron C. McIntyre
Neuromodulation Technology at the Neural Interface (2019) Vol. 22, Iss. 4, pp. 403-415
Open Access | Times Cited: 41
Neuroimaging Technological Advancements for Targeting in Functional Neurosurgery
Alexandre Boutet, Robert Gramer, Christopher J. Steele, et al.
Current Neurology and Neuroscience Reports (2019) Vol. 19, Iss. 7
Open Access | Times Cited: 36
Image-based biophysical modeling predicts cortical potentials evoked with subthalamic deep brain stimulation
Bryan Lad Howell, Faiçal Isbaine, Jon T. Willie, et al.
Brain stimulation (2021) Vol. 14, Iss. 3, pp. 549-563
Open Access | Times Cited: 31
StimFit—A Data‐Driven Algorithm for Automated Deep Brain Stimulation Programming
Jan Roediger, Till A. Dembek, Gregor Wenzel, et al.
Movement Disorders (2021) Vol. 37, Iss. 3, pp. 574-584
Open Access | Times Cited: 31
Multi-objective particle swarm optimization for postoperative deep brain stimulation targeting of subthalamic nucleus pathways
Edgar Peña, Simeng Zhang, Rémi Patriat, et al.
Journal of Neural Engineering (2018) Vol. 15, Iss. 6, pp. 066020-066020
Open Access | Times Cited: 35
Potentials and Limitations of Directional Deep Brain Stimulation: A Simulation Approach
Johanna Kramme, Till A. Dembek, Harald Treuer, et al.
Stereotactic and Functional Neurosurgery (2020) Vol. 99, Iss. 1, pp. 65-74
Open Access | Times Cited: 31
Multi-objective data-driven optimization for improving deep brain stimulation in Parkinson’s disease
Mark Connolly, Eric R. Cole, Faiçal Isbaine, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 4, pp. 046046-046046
Open Access | Times Cited: 27
Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization
Karin Wårdell, Teresa Nordin, Dorian Vogel, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 19
Deep brain–machine interfaces: sensing and modulating the human deep brain
Yanan Sui, Huiling Yu, Chen Zhang, et al.
National Science Review (2022) Vol. 9, Iss. 10
Open Access | Times Cited: 18
Biophysical Principles and Computational Modeling of Deep Brain Stimulation
Patrick R. Ng, Alan Bush, Matteo Vissani, et al.
Neuromodulation Technology at the Neural Interface (2023) Vol. 27, Iss. 3, pp. 422-439
Closed Access | Times Cited: 10
An optimization framework for targeted spinal cord stimulation
Ehsan Mirzakhalili, Evan Rogers, Scott F. Lempka
Journal of Neural Engineering (2023) Vol. 20, Iss. 5, pp. 056026-056026
Open Access | Times Cited: 10
Review of directional leads, stimulation patterns and programming strategies for deep brain stimulation
Yijie Zhou, Yibo Song, Xizi Song, et al.
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
THE ROLE OF NURSES IN POSTOPERATIVE CARE AND SUPPORT FOR PARKINSON’S DISEASE PATIENTS AFTER DEEP BRAIN STIMULATION IN PRIMARY HEALTH CARE SETTINGS
Gani Uakkazy, Mereke Alaidarova, Ч.С. Шашкин, et al.
Central Asian Journal of Medical Hypotheses and Ethics (2025) Vol. 6, Iss. 1, pp. 24-30
Open Access
Subthalamic Deep Brain Stimulation: Mapping Non‐Motor Outcomes to Structural Connections
Garance M. Meyer, Ilkem Aysu Sahin, Barbara Hollunder, et al.
Human Brain Mapping (2025) Vol. 46, Iss. 5
Open Access
Evaluation of DBS computational modeling methodologies using in-vivo electrophysiology in Parkinson′s disease
Seyyed Bahram Borgheai, Bryan Lad Howell, Faiçal Isbaine, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Computational analysis of non-invasive deep brain stimulation based on interfering electric fields
Fariba Karimi, Ahmadreza Attarpour, Rassoul Amirfattahi, et al.
Physics in Medicine and Biology (2019) Vol. 64, Iss. 23, pp. 235010-235010
Closed Access | Times Cited: 27
Functional Use of Directional Local Field Potentials in the Subthalamic Nucleus Deep Brain Stimulation
Ilknur Telkes, Shelby Sabourin, Jennifer Durphy, et al.
Frontiers in Human Neuroscience (2020) Vol. 14
Open Access | Times Cited: 24
Automated optimization of deep brain stimulation parameters for modulating neuroimaging-based targets
Mahsa Malekmohammadi, Richard Mustakos, Sameer A. Sheth, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 4, pp. 046014-046014
Open Access | Times Cited: 15
Modeling the volume of tissue activated in deep brain stimulation and its clinical influence: a review
Erin Patrick, Chance Fleeting, Drashti R. Patel, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 3
A retrospective evaluation of automated optimization of deep brain stimulation parameters
Johannes Vorwerk, Andrea A. Brock, Daria Nesterovich Anderson, et al.
Journal of Neural Engineering (2019) Vol. 16, Iss. 6, pp. 064002-064002
Open Access | Times Cited: 24
Bio-Heat Model of Kilohertz-Frequency Deep Brain Stimulation Increases Brain Tissue Temperature
Niranjan Khadka, Irene E. Harmsen, Andrés M. Lozano, et al.
Neuromodulation Technology at the Neural Interface (2020) Vol. 23, Iss. 4, pp. 489-495
Closed Access | Times Cited: 23
A Population Model of Deep Brain Stimulation in Movement Disorders From Circuits to Cells
Nada Yousif, Peter G. Bain, Dipankar Nandi, et al.
Frontiers in Human Neuroscience (2020) Vol. 14
Open Access | Times Cited: 23
Semi-automated approaches to optimize deep brain stimulation parameters in Parkinson’s disease
Kenneth H. Louie, Matthew N. Petrucci, Logan L. Grado, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 19
DBSegment: Fast and robust segmentation of deep brain structures considering domain generalization
Mehri Baniasadi, Mikkel Steen Petersen, Jorge Gonçalves, et al.
Human Brain Mapping (2022) Vol. 44, Iss. 2, pp. 762-778
Open Access | Times Cited: 14
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

Scroll to top