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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:

SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals
Smith K. Khare, Varun Bajaj, U. Rajendra Acharya
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-9
Closed Access | Times Cited: 136

Showing 1-25 of 136 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: 54
EEG-Based Driver Fatigue Detection Using Spatio-Temporal Fusion Network With Brain Region Partitioning Strategy
Fo Hu, Lekai Zhang, Xusheng Yang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 8, pp. 9618-9630
Closed Access | Times Cited: 27
Deep Learning Models for Diagnosis of Schizophrenia Using EEG Signals: Emerging Trends, Challenges, and Prospects
Rakesh Ranjan, Bikash Chandra Sahana, Ashish Kumar Bhandari
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 4, pp. 2345-2384
Closed Access | Times Cited: 19
Develop an emotion recognition system using jointly connectivity between electroencephalogram and electrocardiogram signals
Javid Farhadi Sedehi, Nader Jafarnia Dabanloo, Keivan Maghooli, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41767-e41767
Closed Access | Times Cited: 2
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: 99
PDCNNet: An Automatic Framework for the Detection of Parkinson’s Disease Using EEG Signals
Smith K. Khare, Varun Bajaj, U. Rajendra Acharya
IEEE Sensors Journal (2021) Vol. 21, Iss. 15, pp. 17017-17024
Closed Access | Times Cited: 92
Distributed Few-Shot Learning for Intelligent Recognition of Communication Jamming
Mingqian Liu, Zilong Liu, Weidang Lu, et al.
IEEE Journal of Selected Topics in Signal Processing (2021) Vol. 16, Iss. 3, pp. 395-405
Open Access | Times Cited: 59
Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal
Sara Bagherzadeh, Mohsen Sadat Shahabi, Ahmad Shalbaf
Computers in Biology and Medicine (2022) Vol. 146, pp. 105570-105570
Closed Access | Times Cited: 55
Wavelet transforms for feature engineering in EEG data processing: An application on Schizophrenia
Bethany Gosala, Pappu Dindayal Kapgate, Priyanka Jain, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104811-104811
Closed Access | Times Cited: 39
SchizoNET: a robust and accurate Margenau–Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals
Smith K. Khare, Varun Bajaj, U. Rajendra Acharya
Physiological Measurement (2023) Vol. 44, Iss. 3, pp. 035005-035005
Open Access | Times Cited: 38
Application of Artificial Intelligence Techniques for Brain–Computer Interface in Mental Fatigue Detection: A Systematic Review (2011–2022)
Hamwira Yaacob, Farhad Hossain, Sharunizam Shari, et al.
IEEE Access (2023) Vol. 11, pp. 74736-74758
Open Access | Times Cited: 34
Exploring deep residual network based features for automatic schizophrenia detection from EEG
Siuly Siuly, Yanhui Guo, Ömer Faruk Alçin, et al.
Physical and Engineering Sciences in Medicine (2023) Vol. 46, Iss. 2, pp. 561-574
Open Access | Times Cited: 30
Fusion of pattern-based and statistical features for Schizophrenia detection from EEG signals
Megha Agarwal, Amit Singhal
Medical Engineering & Physics (2023) Vol. 112, pp. 103949-103949
Closed Access | Times Cited: 24
Enhancing Performance of Convolutional Neural Network-Based Epileptic Electroencephalogram Diagnosis by Asymmetric Stochastic Resonance
Zhuozheng Shi, Zhiqiang Liao, Hitoshi Tabata
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 9, pp. 4228-4239
Closed Access | Times Cited: 24
A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning
Jagdeep Rahul, Diksha Sharma, Lakhan Dev Sharma, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 14
Wavelet Transform, Reconstructed Phase Space, and Deep Learning Neural Networks for EEG-Based Schizophrenia Detection
Amjed Al Fahoum, Ala’a Zyout
International Journal of Neural Systems (2024) Vol. 34, Iss. 09
Closed Access | Times Cited: 10
Schizophrenia detection using distributed activation function-based statistical attentional bidirectional-long short-term memory
Safa Amer Ali, Suraiya Parveen, Ihtiram Raza Khan, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109650-109650
Closed Access | Times Cited: 1
EEG-based schizophrenia detection: integrating discrete wavelet transform and deep learning
Dayanand Dhongade, Kamal Captain, Sonika Dahiya
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access | Times Cited: 1
Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals
Mehmet Bayğın, Orhan Yaman, Türker Tuncer, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102936-102936
Closed Access | Times Cited: 51
A hybrid decision support system for automatic detection of Schizophrenia using EEG signals
Smith K. Khare, Varun Bajaj
Computers in Biology and Medicine (2021) Vol. 141, pp. 105028-105028
Closed Access | Times Cited: 48
An Effective and Robust Approach Based on R-CNN+LSTM Model and NCAR Feature Selection for Ophthalmological Disease Detection from Fundus Images
Fatih Demir, Burak Taşçı
Journal of Personalized Medicine (2021) Vol. 11, Iss. 12, pp. 1276-1276
Open Access | Times Cited: 44
VHERS: A Novel Variational Mode Decomposition and Hilbert Transform-Based EEG Rhythm Separation for Automatic ADHD Detection
Smith K. Khare, Nikhil Gaikwad, Varun Bajaj
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 34
A New Signal to Image Mapping Procedure and Convolutional Neural Networks for Efficient Schizophrenia Detection in EEG Recordings
Nebras Sobahi, Berna Arı, Hakan Çakar, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 8, pp. 7913-7919
Closed Access | Times Cited: 29
SCZ-SCAN: An automated Schizophrenia detection system from electroencephalogram signals
Geet Sahu, Mohan Karnati, Abhishek Gupta, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105206-105206
Closed Access | Times Cited: 21
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, et al.
Applied Intelligence (2023) Vol. 54, Iss. 1, pp. 35-79
Closed Access | Times Cited: 20
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