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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:

A systematic comparison of deep learning methods for EEG time series analysis
Dominik Walther, Johannes Viehweg, Jens Haueisen, et al.
Frontiers in Neuroinformatics (2023) Vol. 17
Open Access | Times Cited: 13

Showing 13 citing articles:

S-LSTM-ATT: a hybrid deep learning approach with optimized features for emotion recognition in electroencephalogram
Abgeena Abgeena, Shruti Garg
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Closed Access | Times Cited: 11
The Choice of Evaluation Metrics in the Prediction of Epileptiform Activity
Nikolay V. Gromov, Albina Lebedeva, Ivan Kipelkin, et al.
Communications in computer and information science (2024), pp. 280-293
Closed Access | Times Cited: 3
FBN-TCN: Temporal convolutional neural network based on spatial domain fusion brain networks for affective brain–computer interfaces
Jinying Bi, Fei Wang, Jingyu Ping, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106323-106323
Closed Access | Times Cited: 3
Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning
Mohammad Javad Darvishi Bayazi, Mohammad Sajjad Ghaemi, Timothée Lesort, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107893-107893
Open Access | Times Cited: 7
DDoS detection in electric vehicle charging stations: A deep learning perspective via CICEV2023 dataset
Yagiz Alp Anli, Zeki Çıplak, Murat Sakaliuzun, et al.
Internet of Things (2024) Vol. 28, pp. 101343-101343
Closed Access | Times Cited: 2
Advances, challenges, and prospects of electroencephalography-based biomarkers for psychiatric disorders: a narrative review
Seokho Yun
Journal of Yeungnam Medical Science (2024) Vol. 41, Iss. 4, pp. 261-268
Open Access | Times Cited: 1
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection
Daniel Lakey, Tim Schlippe
IEEE Aerospace Conference (2024), pp. 1-11
Closed Access
Enhanced Brain-to-Brain Communication Security via Adversarial Neural Network Training
Hossein Ahmadi, Ali Kuhestani, MohammadReza Keshavarzi, et al.
(2024)
Open Access
A Low-Complexity Combined Encoder-LSTM-Attention Networks for EEG-based Depression Detection
Noor Faris Ali, Nabil Albastaki, Abdelkader Nasreddine Belkacem, et al.
IEEE Access (2024) Vol. 12, pp. 129390-129403
Open Access
Electroencephalogram Emotion Recognition via AUC Maximization
Minheng Xiao, Bo Shi
Algorithms (2024) Vol. 17, Iss. 11, pp. 489-489
Open Access
Analysis of the impact of deep learning know-how and data in modelling neonatal EEG
Aengus Daly, Gordon Lightbody, Andriy Temko
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Temporal convolution derived multi-layered reservoir computing
Johannes Viehweg, Dominik Walther, Patrick Mäder
Neurocomputing (2024), pp. 128938-128938
Open Access
How accurate are machine learning models in predicting anti-seizure medication responses: A systematic review
Ahmed Abdaltawab, Lin‐Ching Chang, Mohammed Mansour, et al.
Epilepsy & Behavior (2024) Vol. 163, pp. 110212-110212
Closed Access
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