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:

Analysis of the Complexity Measures in the EEG of Schizophrenia Patients
Saime Akdemir Akar, Sadık Kara, Fatma Lati̇foğlu, et al.
International Journal of Neural Systems (2015) Vol. 26, Iss. 02, pp. 1650008-1650008
Closed Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

Automated EEG-based screening of depression using deep convolutional neural network
U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 161, pp. 103-113
Closed Access | Times Cited: 532

DepHNN: A novel hybrid neural network for electroencephalogram (EEG)-based screening of depression
Geetanjali Sharma, Abhishek Parashar, Amit M. Joshi
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102393-102393
Closed Access | Times Cited: 138

A hybrid deep neural network for classification of schizophrenia using EEG Data
Jie Sun, Rui Cao, Mengni Zhou, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 126

Brain entropy, fractal dimensions and predictability: A review of complexity measures for EEG in healthy and neuropsychiatric populations
Zen Juen Lau, Tam Pham, Shen‐Hsing Annabel Chen, et al.
European Journal of Neuroscience (2022) Vol. 56, Iss. 7, pp. 5047-5069
Open Access | Times Cited: 110

Schizophrenia detection using MultivariateEmpirical Mode Decomposition and entropy measures from multichannel EEG signal
Palani Thanaraj Krishnan, Alex Noel Joseph Raj, Parvathavarthini Balasubramanian, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 3, pp. 1124-1139
Closed Access | Times Cited: 109

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: 36

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: 22

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: 8

Permutation Jaccard Distance-Based Hierarchical Clustering to Estimate EEG Network Density Modifications in MCI Subjects
Nadia Mammone, Cosimo Ieracitano, Hojjat Adeli, et al.
IEEE Transactions on Neural Networks and Learning Systems (2018) Vol. 29, Iss. 10, pp. 5122-5135
Closed Access | Times Cited: 75

A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms
Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong‐Whan Lee
IEEE Access (2020) Vol. 8, pp. 39875-39897
Open Access | Times Cited: 61

EEG analysis in patients with schizophrenia based on Lyapunov exponents
Ilya E. Kutepov, Vitaliy V. Dobriyan, Maxim V. Zhigalov, et al.
Informatics in Medicine Unlocked (2020) Vol. 18, pp. 100289-100289
Open Access | Times Cited: 52

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: 28

Possible Neuropathological Mechanisms Underlying the Increased Complexity of Brain Electrical Activity in Schizophrenia: A Computational Study
Ali Khaleghi, Mohammad Reza Mohammadi, Kian Shahi, et al.
Iranian Journal of Psychiatry (2023)
Open Access | Times Cited: 19

Differences in EEG complexity of cognitive activities among subtypes of schizophrenia
Hang Qi, Jilin Zou, Zai‐Fu Yao, et al.
Frontiers in Psychiatry (2025) Vol. 16
Open Access

Recent advances in control algorithms for smart structures and machines
Mariantonieta Gutiérrez Soto, Hojjat Adeli
Expert Systems (2017) Vol. 34, Iss. 2
Closed Access | Times Cited: 60

A Novel Wavelet Transform-Homogeneity Model for Sudden Cardiac Death Prediction Using ECG Signals
Juan P. Amézquita-Sánchez, Martin Valtierra‐Rodriguez, Hojjat Adeli, et al.
Journal of Medical Systems (2018) Vol. 42, Iss. 10
Closed Access | Times Cited: 58

Resting-state brain entropy in schizophrenia
Shao‐Wei Xue, Qingbao Yu, Yonghu Guo, et al.
Comprehensive Psychiatry (2018) Vol. 89, pp. 16-21
Open Access | Times Cited: 56

EEG Multiscale Complexity in Schizophrenia During Picture Naming
Antonio J. Ibáñez‐Molina, Vanessa Alcaide Lozano, María Felipa Soriano, et al.
Frontiers in Physiology (2018) Vol. 9
Open Access | Times Cited: 55

Aberrant Prefrontal–Thalamic–Cerebellar Circuit in Schizophrenia and Depression: Evidence From a Possible Causal Connectivity
Yuchao Jiang, Mingjun Duan, Xi Chen, et al.
International Journal of Neural Systems (2018) Vol. 29, Iss. 05, pp. 1850032-1850032
Closed Access | Times Cited: 54

Complexity of resting-state EEG activity in the patients with early-stage Parkinson’s disease
Guosheng Yi, Jiang Wang, Bin Deng, et al.
Cognitive Neurodynamics (2016) Vol. 11, Iss. 2, pp. 147-160
Open Access | Times Cited: 52

Fractal-based classification of electroencephalography (EEG) signals in healthy adolescents and adolescents with symptoms of schizophrenia
Hamidreza Namazi, Erfan Aghasian, Tirdad Seifi
Technology and Health Care (2019) Vol. 27, Iss. 3, pp. 233-241
Closed Access | Times Cited: 49

Schizophrenia diagnosis using innovative EEG feature-level fusion schemes
Atefeh Goshvarpour, Ateke Goshvarpour
Physical and Engineering Sciences in Medicine (2020) Vol. 43, Iss. 1, pp. 227-238
Closed Access | Times Cited: 41

A self-learned decomposition and classification model for schizophrenia diagnosis
Smith K. Khare, Varun Bajaj
Computer Methods and Programs in Biomedicine (2021) Vol. 211, pp. 106450-106450
Closed Access | Times Cited: 35

Depression screening using hybrid neural network
Jiao Zhang, Baomin Xu, Hongfeng Yin
Multimedia Tools and Applications (2023) Vol. 82, Iss. 17, pp. 26955-26970
Open Access | Times Cited: 15

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