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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:

Predicting age from resting-state scalp EEG signals with deep convolutional neural networks on TD-brain dataset
Mariam Khayretdinova, Alexey Shovkun, V. N. Degtyarev, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 18

Showing 18 citing articles:

Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations
Sebastián Moguilner, Sandra Báez, Hernán Hernandez, et al.
Nature Medicine (2024) Vol. 30, Iss. 12, pp. 3646-3657
Open Access | Times Cited: 18
eXplainable Artificial Intelligence (XAI) in aging clock models
Alena Kalyakulina, Igor Yusipov, Alexey Moskalev, et al.
Ageing Research Reviews (2023) Vol. 93, pp. 102144-102144
Open Access | Times Cited: 18
Early Detection of Stress and Anxiety Based Seizures in Position Data Augmented EEG Signal Using Hybrid Deep Learning Algorithms
K Palanisamy, Arthi Rengaraj
IEEE Access (2024) Vol. 12, pp. 35351-35365
Open Access | Times Cited: 5
Age-Related Characteristics of Resting-State Electroencephalographic Signals and the Corresponding Analytic Approaches: A Review
Jae-Hwan Kang, Jang-Han Bae, Young-Ju Jeon
Bioengineering (2024) Vol. 11, Iss. 5, pp. 418-418
Open Access | Times Cited: 5
Electroencephalography Estimates Brain Age in Infants with High Precision: Leveraging Advanced Machine Learning in Healthcare
Saeideh Davoudi, Gabriela López‐Arango, Florence Deguire, et al.
NeuroImage (2025), pp. 121200-121200
Open Access
Brain age revisited: Investigating the state vs. trait hypotheses of EEG-derived brain-age dynamics with deep learning
Lukas Gemein, Robin Tibor Schirrmeister, Joschka Boedecker, et al.
Imaging Neuroscience (2024) Vol. 2, pp. 1-22
Open Access | Times Cited: 4
Brain age prediction using combined deep convolutional neural network and multi-layer perceptron algorithms
Yoonji Joo, Eun Namgung, Hyeonseok Jeong, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Detection of Anxiety-Based Epileptic Seizures in EEG Signals Using Fuzzy Features and Parrot Optimization-Tuned LSTM
K Palanisamy, Arthi Rengaraj
Brain Sciences (2024) Vol. 14, Iss. 8, pp. 848-848
Open Access | Times Cited: 2
Author Correction: Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations
Sebastián Moguilner, Sandra Báez, Hernán Hernandez, et al.
Nature Medicine (2024)
Open Access | Times Cited: 2
Variational Autoencoder Learns Better Feature Representations for EEG-Based Obesity Classification
Yuan Yue, Dirk De Ridder, Patrick Manning, et al.
Lecture notes in computer science (2024), pp. 179-191
Closed Access | Times Cited: 2
Prediction of brain sex from EEG: using large-scale heterogeneous dataset for developing a highly accurate and interpretable ML model
Mariam Khayretdinova, Ilya Zakharov, Polina Pshonkovskaya, et al.
NeuroImage (2023) Vol. 285, pp. 120495-120495
Open Access | Times Cited: 6
Brain clocks capture diversity and disparity in aging and dementia
Agustín Ibáñez, Sebastián Moguilner, Sandra Baez, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Optimization of the Deep Neural Networks for Seizure Detection
Alexey Shovkun, Andrey Kiryasov, И. А. Захаров, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-2
Closed Access | Times Cited: 2
SGAAE-AC: A Semi-Supervised Graph Attention Autoencoder for Electroencephalography (EEG) Age Clustering
Jian Wang, Jiale Zhao, Ting Cheng
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5392-5392
Open Access
Multi-Modal EEG NEO-FFI with Trained Attention Layer (MENTAL) for Mental Disorder Prediction
Garrett Greiner, Yu Zhang
Research Square (Research Square) (2024)
Open Access
Effect of early postmenopause and premenopause on resting-state electroencephalographic and their correlation with ovarian hormone levels
Erika G. González-Pérez, Nicté Figueroa‐Vega, Silvia Solís-Ortíz
Neuroreport (2024) Vol. 35, Iss. 15, pp. 992-999
Closed Access
Predicting Subject Traits From Brain Spectral Signatures: An Application to Brain Ageing
C. Jarne, Ben Griffin, Diego Vidaurre
Human Brain Mapping (2024) Vol. 45, Iss. 18
Open Access
Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study
Tobias Ettling, Sari Saba-Sadiya, Gemma Roig
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 12, pp. 4051-4058
Open Access | Times Cited: 1
Predicting subject traits from brain spectral signatures: an application to brain ageing
C. Jarne, Ben Griffin, Diego Vidaurre
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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