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:

neurolib: A Simulation Framework for Whole-Brain Neural Mass Modeling
Caglar Cakan, Nikola Jajcay, Klaus Obermayer
Cognitive Computation (2021) Vol. 15, Iss. 4, pp. 1132-1152
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

The Hopf whole-brain model and its linear approximation
Adrián Ponce‐Alvarez, Gustavo Deco
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13

Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep
Caglar Cakan, Cristiana Dimulescu, Liliia Khakimova, et al.
Frontiers in Computational Neuroscience (2022) Vol. 15
Open Access | Times Cited: 22

A new approach for estimating effective connectivity from activity in neural networks
Niklas Laasch, Wilhelm Braun, Lisa Knoff, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 5

Neural mass modeling for the masses: Democratizing access to whole-brain biophysical modeling with FastDMF
Rubén Herzog, Pedro A. M. Mediano, Fernando E. Rosas, et al.
Network Neuroscience (2024) Vol. 8, Iss. 4, pp. 1590-1612
Open Access | Times Cited: 5

Comparison of derivative-based and correlation-based methods to estimate effective connectivity in neural networks
Niklas Laasch, Wilhelm Braun, Lisa Knoff, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Intrinsic dynamic shapes responses to external stimulation in the human brain
Maximilian Nentwich, Marcin Leszczyński, Charles E. Schroeder, et al.
(2025)
Open Access

Intrinsic dynamic shapes responses to external stimulation in the human brain
Maximilian Nentwich, Marcin Leszczyński, Charles E. Schroeder, et al.
(2025)
Open Access

Spatial (mis)match between EEG and fMRI signal patterns revealed by spatio-spectral source-space EEG decomposition
Stanislav Jiříček, Vlastimil Koudelka, Dante Mantini, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access

Learning integral operators via neural integral equations
Emanuele Zappala, Antonio Henrique de Oliveira Fonseca, Josue Ortega, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 9, pp. 1046-1062
Open Access | Times Cited: 3

Recent Progress in Brain Network Models for Medical Applications: A Review
Chenfei Ye, Yixuan Zhang, Ran Chen, et al.
Health Data Science (2024) Vol. 4
Open Access | Times Cited: 2

Neural mass modelling for the masses: Democratising access to whole-brain biophysical modelling with FastDMF
Rubén Herzog, Pedro A. M. Mediano, Fernando E. Rosas, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 9

Investigating the Impact of Local Manipulations on Spontaneous and Evoked Brain Complexity Indices: A Large-Scale Computational Model
Gianluca Gaglioti, Thierry Nieus, Marcello Massimini, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 890-890
Open Access | Times Cited: 1

NMM-Based Patient-Specific Temporally-Adaptive Stimulation Optimization for Seizure Control
Rojin Salahi, Hossein Kassiri
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2024), pp. 1-5
Closed Access | Times Cited: 1

Brain Simulation and Spiking Neural Networks
Zhe Sun, Vassilis Cutsuridis, César F. Caiafa, et al.
Cognitive Computation (2023) Vol. 15, Iss. 4, pp. 1103-1105
Open Access | Times Cited: 4

Construction and Analysis of a New Resting-State Whole-Brain Network Model
Dong Cui, Han Li, Hongyuan Shao, et al.
Brain Sciences (2024) Vol. 14, Iss. 3, pp. 240-240
Open Access | Times Cited: 1

Vast Parameter Space Exploration of The Virtual Brain: A Modular Framework for Accelerating the Multi-Scale Simulation of Human Brain Dynamics
Michiel van der Vlag, Lionel Kusch, Alain Destexhe, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2211-2211
Open Access | Times Cited: 1

Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons
Salvador Durá-Bernal, Beatriz Herrera, Carmen Alina Lupaşcu, et al.
Journal of Neuroscience (2024) Vol. 44, Iss. 40, pp. e1236242024-e1236242024
Closed Access | Times Cited: 1

BrainPy: a flexible, integrative, efficient, and extensible framework towards general-purpose brain dynamics programming
Chaoming Wang, Xiaoyu Chen, Tianqiu Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 7

Optimal control of a Wilson–Cowan model of neural population dynamics
Lena Salfenmoser, Klaus Obermayer
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 4
Closed Access | Times Cited: 3

Deep Learning-Based Parameter Estimation for Neurophysiological Models of Neuroimaging Data
John D. Griffiths, Zheng Wang, Syed Hussain Ather, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access | Times Cited: 5

The Hopf whole-brain model and its linear approximation
Adrián Ponce‐Alvarez, Gustavo Deco
Research Square (Research Square) (2023)
Open Access | Times Cited: 2

Cross-Frequency Slow Oscillation–Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model
Nikola Jajcay, Caglar Cakan, Klaus Obermayer
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 4

Nonlinear optimal control of a mean-field model of neural population dynamics
Lena Salfenmoser, Klaus Obermayer
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 3

Page 1 - Next Page

Scroll to top