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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:

ConvDip: A Convolutional Neural Network for Better EEG Source Imaging
Lukas Hecker, Rebekka Rupprecht, Ludger Tebartz van Elst, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Deep neural networks constrained by neural mass models improve electrophysiological source imaging of spatiotemporal brain dynamics
Rui Sun, Abbas Sohrabpour, Gregory A. Worrell, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 31
Open Access | Times Cited: 55
A Graph Fourier Transform Based Bidirectional Long Short-Term Memory Neural Network for Electrophysiological Source Imaging
Meng Jiao, Guihong Wan, Yaxin Guo, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 30
Beyond Averaging: A Transformer Approach to Decoding Event Related Brain Potentials
Philipp Zelger, Marcel Arnold, Sonja Rossi, et al.
NeuroImage (2025), pp. 121049-121049
Open Access
Structured noise champagne: an empirical Bayesian algorithm for electromagnetic brain imaging with structured noise
Sanjay Ghosh, Chang Cai, Ali Hashemi, et al.
Frontiers in Human Neuroscience (2025) Vol. 19
Open Access
A Deep Learning Framework Leveraging Spatiotemporal Feature Fusion for Electrophysiological Source Imaging
Wuxiang Shi, Yurong Li, Nan Zheng, et al.
Computer Methods and Programs in Biomedicine (2025), pp. 108767-108767
Closed Access
MEG Source Localization via Deep Learning
Dimitrios Pantazis, Amir Adler
Sensors (2021) Vol. 21, Iss. 13, pp. 4278-4278
Open Access | Times Cited: 30
Electromagnetic Source Imaging With a Combination of Sparse Bayesian Learning and Deep Neural Network
Jiawen Liang, Zhu Liang Yu, Zhenghui Gu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2338-2348
Open Access | Times Cited: 8
Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation
Shihao Yang, Meng Jiao, Jing Xiang, et al.
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Multi-Modal Electrophysiological Source Imaging With Attention Neural Networks Based on Deep Fusion of EEG and MEG
Meng Jiao, Shihao Yang, Xiaochen Xian, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 2492-2502
Open Access | Times Cited: 2
Source localization using recursively applied and projected MUSIC with flexible extent estimation
Lukas Hecker, Ludger Tebartz van Elst, Jürgen Kornmeier
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 6
Altered EEG variability on different time scales in participants with autism spectrum disorder: an exploratory study
Lukas Hecker, Mareike Wilson, Ludger Tebartz van Elst, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 10
Localized estimation of electromagnetic sources underlying event-related fields using recurrent neural networks
Jamie A. O’Reilly, Judy D. Zhu, Paul F. Sowman
Journal of Neural Engineering (2023) Vol. 20, Iss. 4, pp. 046035-046035
Open Access | Times Cited: 5
EEG connectivity analysis in infants: A Beginner’s Guide on Preprocessing and Processing Techniques
Despina Tsolisou
Brain Science Advances (2023) Vol. 9, Iss. 4, pp. 242-274
Open Access | Times Cited: 4
A Method of EEG Source Imaging Based on TCN and Attention Network
Yang Hu, Ziyu Ge, Jinshuo Liu, et al.
(2024), pp. 171-174
Closed Access | Times Cited: 1
XDL-ESI: Electrophysiological Sources Imaging via explainable deep learning framework with validation on simultaneous EEG and iEEG
Meng Jiao, Xiaochen Xian, Boyu Wang, et al.
NeuroImage (2024) Vol. 299, pp. 120802-120802
Open Access | Times Cited: 1
Localized estimation of event-related neural source activity from simultaneous MEG-EEG with a recurrent neural network
Jamie A. O’Reilly, Judy D. Zhu, Paul F. Sowman
Neural Networks (2024) Vol. 180, pp. 106731-106731
Open Access | Times Cited: 1
M/EEG source localization for both subcortical and cortical sources using a convolutional neural network with a realistic head conductivity model
Hikaru Yokoyama, Naotsugu Kaneko, Noboru Usuda, et al.
APL Bioengineering (2024) Vol. 8, Iss. 4
Open Access | Times Cited: 1
Decoding pain from brain activity
Zhe Chen
Journal of Neural Engineering (2021) Vol. 18, Iss. 5, pp. 051002-051002
Closed Access | Times Cited: 9
Deep learning based source imaging provides strong sublobar localization of epileptogenic zone from MEG interictal spikes
Rui Sun, Wenbo Zhang, Anto Bagić, et al.
NeuroImage (2023) Vol. 281, pp. 120366-120366
Open Access | Times Cited: 3
EEG Source Imaging based on a Transformer Encoder Network
Tongtong Zheng, Zijing Guan
(2023), pp. 208-212
Closed Access | Times Cited: 3
MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging
Meng Jiao, Shihao Yang, Boyu Wang, et al.
Lecture notes in computer science (2023), pp. 273-285
Closed Access | Times Cited: 3
Spatiotemporal Rhythmic Seizure Sources Can be Imaged by means of Biophysically Constrained Deep Neural Networks
Rui Sun, Abbas Sohrabpour, Boney Joseph, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Accurate localization of cortical and subcortical sources of M/EEG signals by a convolutional neural network with a realistic head conductivity model: Validation with M/EEG simulation, evoked potentials, and invasive recordings
Hikaru Yokoyama, Naoki Kaneko, Noboru Usuda, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
The Neurostimulationist will see you now: prescribing direct electrical stimulation therapies for the human brain in epilepsy and beyond
Peter Hadar, Rina Zelmann, Pariya Salami, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access
Seizure Sources Can Be Imaged from Scalp EEG by Means of Biophysically Constrained Deep Neural Networks
Rui Sun, Abbas Sohrabpour, Boney Joseph, et al.
Advanced Science (2024)
Open Access
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