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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:

Scalp EEG classification using deep Bi-LSTM network for seizure detection
Xinmei Hu, Shasha Yuan, Fangzhou Xu, et al.
Computers in Biology and Medicine (2020) Vol. 124, pp. 103919-103919
Closed Access | Times Cited: 162

Showing 1-25 of 162 citing articles:

The applied principles of EEG analysis methods in neuroscience and clinical neurology
Hao Zhang, Qing-Qi Zhou, He Chen, et al.
Military Medical Research (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 46
Epileptic Seizure Detection Based on Path Signature and Bi-LSTM Network With Attention Mechanism
Yixuan Tang, Qianyi Wu, Haifeng Mao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 304-313
Open Access | Times Cited: 17
One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG
Xiaoshuang Wang, Xiulin Wang, Wenya Liu, et al.
Neurocomputing (2021) Vol. 459, pp. 212-222
Open Access | Times Cited: 84
Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners
Arti Anuragi, Dilip Singh Sisodia, Ram Bilas Pachori
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103138-103138
Closed Access | Times Cited: 67
Classification of epileptic seizures from electroencephalogram (EEG) data using bidirectional short-term memory (Bi-LSTM) network architecture
Erdem Tuncer, Emine Doğru Bolat
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103462-103462
Closed Access | Times Cited: 63
Epileptic Seizure Detection Based on Bidirectional Gated Recurrent Unit Network
Yanli Zhang, Shuxin Yao, Rendi Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 135-145
Open Access | Times Cited: 59
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106053-106053
Open Access | Times Cited: 56
Spatial–temporal seizure detection with graph attention network and bi-directional LSTM architecture
Jiatong He, Jia Cui, Gaobo Zhang, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103908-103908
Closed Access | Times Cited: 42
Performance evaluation of LSTM and Bi-LSTM using non-convolutional features for blockage detection in centrifugal pump
Nagendra Singh Ranawat, Jatin Prakash, Ankur Miglani, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106092-106092
Closed Access | Times Cited: 39
Seizure Prediction Based on Transformer Using Scalp Electroencephalogram
Jianzhuo Yan, Jinnan Li, Hongxia Xu, et al.
Applied Sciences (2022) Vol. 12, Iss. 9, pp. 4158-4158
Open Access | Times Cited: 38
D2PAM: Epileptic seizures prediction using adversarial deep dual patch attention mechanism
Arfat Ahmad Khan, Rakesh Kumar Madendran, Usharani Thirunavukkarasu, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 3, pp. 755-769
Open Access | Times Cited: 37
Automated FBSE-EWT based learning framework for detection of epileptic seizures using time-segmented EEG signals
Arti Anuragi, Dilip Singh Sisodia, Ram Bilas Pachori
Computers in Biology and Medicine (2021) Vol. 136, pp. 104708-104708
Closed Access | Times Cited: 48
Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion
Zuyi Yu, Laurent Albera, Régine Le Bouquin Jeannès, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 07
Closed Access | Times Cited: 36
Automatic epileptic seizure detection in EEG signals using sparse common spatial pattern and adaptive short-time Fourier transform-based synchrosqueezing transform
Mohsen Amiri, Hassan Aghaeinia, Hamidreza Amindavar
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104022-104022
Closed Access | Times Cited: 33
XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series
Dominik Raab, Andreas Theissler, Myra Spiliopoulou
Neural Computing and Applications (2022) Vol. 35, Iss. 14, pp. 10051-10068
Open Access | Times Cited: 32
Epileptic Seizure Detection Using a Hybrid 1D CNN-Machine Learning Approach from EEG Data
Fatima Hassan, Syed Fawad Hussain, Saeed Mian Qaisar
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 32
A New Approach for Congestive Heart Failure and Arrhythmia Classification Using Angle Transformation with LSTM
Yılmaz Kaya, Fatma KUNCAN, Ramazan Teki̇n
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 8, pp. 10497-10513
Closed Access | Times Cited: 28
AI-Based Epileptic Seizure Detection and Prediction in Internet of Healthcare Things: A Systematic Review
Sobhana Jahan, Farhana Nowsheen, Mahathir Mahmud Antik, et al.
IEEE Access (2023) Vol. 11, pp. 30690-30725
Open Access | Times Cited: 20
Hybrid Attention Network for Epileptic EEG Classification
Yanna Zhao, Jiatong He, Fenglin Zhu, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 06
Closed Access | Times Cited: 19
Electroencephalogram-based mental workload prediction for using Augmented Reality head mounted display in construction assembly: A deep learning approach
Yimin Qin, Tanyel Bulbul
Automation in Construction (2023) Vol. 152, pp. 104892-104892
Closed Access | Times Cited: 19
Artificial intelligence‐enhanced epileptic seizure detection by wearables
Shuang Yu, Rima El Atrache, Jianbin Tang, et al.
Epilepsia (2023) Vol. 64, Iss. 12, pp. 3213-3226
Open Access | Times Cited: 19
Self-supervised Learning with Attention Mechanism for EEG-based seizure detection
Tiantian Xiao, Ziwei Wang, Yongfeng Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105464-105464
Closed Access | Times Cited: 17
Efficient and generalizable cross-patient epileptic seizure detection through a spiking neural network
Zongpeng Zhang, Xiao Ming-qing, Taoyun Ji, et al.
Frontiers in Neuroscience (2024) Vol. 17
Open Access | Times Cited: 7
An Overview of EEG-based Machine Learning Methods in Seizure Prediction and Opportunities for Neurologists in this Field
Buajieerguli Maimaiti, Hongmei Meng, Yudan Lv, et al.
Neuroscience (2021) Vol. 481, pp. 197-218
Closed Access | Times Cited: 34
Interactive local and global feature coupling for EEG-based epileptic seizure detection
Yanna Zhao, Dengyu Chu, Jiatong He, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104441-104441
Closed Access | Times Cited: 26
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