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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:

Time-Frequency Domain Deep Convolutional Neural Network for the Classification of Focal and Non-Focal EEG Signals
Srirangan Madhavan, Rajesh Kumar Tripathy, Ram Bilas Pachori
IEEE Sensors Journal (2019) Vol. 20, Iss. 6, pp. 3078-3086
Closed Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, et al.
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 126
Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals
Daksh Maheshwari, Samit Kumar Ghosh, Rajesh Kumar Tripathy, et al.
Computers in Biology and Medicine (2021) Vol. 134, pp. 104428-104428
Closed Access | Times Cited: 97
Automatic diagnosis of glaucoma using two-dimensional Fourier-Bessel series expansion based empirical wavelet transform
Pradeep Kumar Chaudhary, Ram Bilas Pachori
Biomedical Signal Processing and Control (2020) Vol. 64, pp. 102237-102237
Closed Access | Times Cited: 85
EEG-Rhythm Specific Taylor–Fourier Filter Bank Implemented With O-Splines for the Detection of Epilepsy Using EEG Signals
José Antonio de la O Serna, Mario R. Arrieta Paternina, A. Zamora, et al.
IEEE Sensors Journal (2020) Vol. 20, Iss. 12, pp. 6542-6551
Closed Access | Times Cited: 71
Time–Frequency-Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders Using PCG Signals
Jay Karhade, Shaswati Dash, Samit Kumar Ghosh, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 60
AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals
Tejas Radhakrishnan, Jay Karhade, Samit Kumar Ghosh, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104783-104783
Open Access | Times Cited: 58
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
Sparse spectrum based swarm decomposition for robust nonstationary signal analysis with application to sleep apnea detection from EEG
Shailesh Bhalerao, Ram Bilas Pachori
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103792-103792
Closed Access | Times Cited: 54
Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique
Kranti Kumar Dewangan, Deepak Kumar Dewangan, Satya Prakash Sahu, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 10, pp. 13935-13960
Open Access | Times Cited: 44
Deep time-frequency features and semi-supervised dimension reduction for subject-independent emotion recognition from multi-channel EEG signals
Behrooz Zali-Vargahan, Asghar Charmin, Hashem Kalbkhani, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104806-104806
Closed Access | Times Cited: 28
Automated major depressive disorder diagnosis using a dual-input deep learning model and image generation from EEG signals
Ahmad Afzali, Ali Khaleghi, Boshra Hatef, et al.
Waves in Random and Complex Media (2023), pp. 1-16
Closed Access | Times Cited: 22
Enhanced multimodal emotion recognition in healthcare analytics: A deep learning based model-level fusion approach
Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106241-106241
Closed Access | Times Cited: 9
Detection of Focal and Non-focal Epileptic Seizure Using Continuous Wavelet Transform-Based Scalogram Images and Pre-trained Deep Neural Networks
Ali Narin
IRBM (2020) Vol. 43, Iss. 1, pp. 22-31
Closed Access | Times Cited: 57
Detection of Focal and Non-Focal Electroencephalogram Signals Using Fast Walsh-Hadamard Transform and Artificial Neural Network
J. Prasanna, M. S. P. Subathra, Mazin Abed Mohammed, et al.
Sensors (2020) Vol. 20, Iss. 17, pp. 4952-4952
Open Access | Times Cited: 53
FrWT-PPCA-Based R-peak Detection for Improved Management of Healthcare System
Varun Gupta, Monika Mittal, Vikas Mittal
IETE Journal of Research (2021) Vol. 69, Iss. 8, pp. 5064-5078
Closed Access | Times Cited: 50
Analysis of epileptic seizures based on EEG using recurrence plot images and deep learning
Anand Shankar, Hnin Kay Khaing, Samarendra Dandapat, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102854-102854
Closed Access | Times Cited: 49
Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network
Neha Muralidharan, Shaurya Gupta, Manas Ranjan Prusty, et al.
Applied Soft Computing (2022) Vol. 119, pp. 108610-108610
Open Access | Times Cited: 34
A combination of statistical parameters for epileptic seizure detection and classification using VMD and NLTWSVM
Shang Zhang, Guangda Liu, Ruolan Xiao, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 1, pp. 258-272
Closed Access | Times Cited: 31
Physiological and Physical Sensors for Stress Level, Drowsiness Detection, and Behaviour Analysis
N. Sukumar, Bella Sivashankar, P. Sumathi, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 656-668
Closed Access | Times Cited: 6
FBDM based time-frequency representation for sleep stages classification using EEG signals
Vipin Gupta, Ram Bilas Pachori
Biomedical Signal Processing and Control (2020) Vol. 64, pp. 102265-102265
Closed Access | Times Cited: 44
Exploiting Feature Selection and Neural Network Techniques for Identification of Focal and Nonfocal EEG Signals in TQWT Domain
Muhammad Tariq Sadiq, Hesam Akbari, Ateeq Ur Rehman, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-24
Open Access | Times Cited: 34
Schizo-Net: A novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on Electroencephalogram-Based Brain Connectivity Indices
Nitin Grover, Aviral Chharia, Rahul Upadhyay, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 464-473
Open Access | Times Cited: 13
Hybrid LSTM–Transformer Model for the Prediction of Epileptic Seizure Using Scalp EEG
Lili Xia, Ruiqi Wang, Haiming Ye, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 21123-21131
Closed Access | Times Cited: 4
A novel deep learning model combining 3DCNN-CapsNet and hierarchical attention mechanism for EEG emotion recognition
Kun Chen, Wenhao Ruan, Quan Liu, et al.
Neural Networks (2025) Vol. 186, pp. 107267-107267
Closed Access
A two-stage deep CNN architecture for the classification of low-risk and high-risk hypertension classes using multi-lead ECG signals
Piyush Jain, Pranjali Gajbhiye, Rajesh Kumar Tripathy, et al.
Informatics in Medicine Unlocked (2020) Vol. 21, pp. 100479-100479
Open Access | Times Cited: 35
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