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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:

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

Showing 1-25 of 49 citing articles:

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: 129
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
IoT-driven augmented reality and virtual reality systems in neurological sciences
Mehar Sahu, Rohan Gupta, Rashmi K. Ambasta, et al.
Internet of Things (2024) Vol. 25, pp. 101098-101098
Closed Access | Times Cited: 13
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
Complexity-based decoding of brain-skin relation in response to olfactory stimuli
Shafiul Omam, Mohammad Hossein Babini, Sue Sim, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 184, pp. 105293-105293
Closed Access | Times Cited: 45
Physiological State and Learning Ability of Students in Normal and Virtual Reality Conditions: Complexity-Based Analysis
Mohammad Hossein Babini, Vladimír Kulish, Hamidreza Namazi
Journal of Medical Internet Research (2020) Vol. 22, Iss. 6, pp. e17945-e17945
Open Access | Times Cited: 40
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: 37
Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing
Sunil Kumar Prabhakar, Harikumar Rajaguru, Sun‐Hee Kim
Computational Intelligence and Neuroscience (2020) Vol. 2020, pp. 1-14
Open Access | Times Cited: 37
Complexity-Based Analysis of the Relation between Human Muscle Reaction and Walking Path
Shahul Mujib Kamal, Sue Sim, Rui Tee, et al.
Fluctuation and Noise Letters (2020) Vol. 19, Iss. 03, pp. 2050025-2050025
Closed Access | Times Cited: 33
Higuchi fractal dimension: An efficient approach to detection of brain entrainment to theta binaural beats
Elham Shamsi, Mohammad Ali Ahmadi-Pajouh, Tirdad Seifi
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102580-102580
Closed Access | Times Cited: 32
Comparison of Smoothing Filters’ Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain–Computer Interface Headset during Audio Stimulation
Natalia Browarska, Aleksandra Kawala-Sterniuk, Jarosław Zygarlicki, et al.
Brain Sciences (2021) Vol. 11, Iss. 1, pp. 98-98
Open Access | Times Cited: 29
Fractal dimension and clinical neurophysiology fusion to gain a deeper brain signal understanding: A systematic review
Sadaf Moaveninejad, Simone Cauzzo, Camillo Porcaro
Information Fusion (2025), pp. 102936-102936
Closed Access
A Mendelian randomization approach for advancing healthcare innovation: From pregnancy hypertension to schizophrenia
Wenjie Peng, Qingxia Ran, Fang Wu, et al.
Technology and Health Care (2025)
Closed Access
Information-Based Classification of Electroencephalography (EEG) Signals for Healthy Adolescents and Adolescents with Symptoms of Schizophrenia
Hamidreza Namazi
Fluctuation and Noise Letters (2020) Vol. 19, Iss. 04, pp. 2050033-2050033
Closed Access | Times Cited: 30
Deep-spindle: An automated sleep spindle detection system for analysis of infant sleep spindles
Lan Wei, Soraia Ventura, Mary Anne Ryan, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106096-106096
Open Access | Times Cited: 18
Decoding of the relationship between human brain activity and walking paths
Shahul Mujib Kamal, Sue Sim, Rui Tee, et al.
Technology and Health Care (2019) Vol. 28, Iss. 4, pp. 381-390
Closed Access | Times Cited: 28
DepML: An Efficient Machine Learning-Based MDD Detection System in IoMT Framework
Geetanjali Sharma, Amit M. Joshi, Emmanuel S. Pilli
SN Computer Science (2022) Vol. 3, Iss. 5
Closed Access | Times Cited: 15
Complexity-based analysis of the coupling between facial muscle and brain activities
Mirra Soundirarajan, Erfan Aghasian, Ondřej Krejcar, et al.
Biomedical Signal Processing and Control (2021) Vol. 67, pp. 102511-102511
Closed Access | Times Cited: 19
Optimized adaptive neuro-fuzzy inference system based on hybrid grey wolf-bat algorithm for schizophrenia recognition from EEG signals
Kishore Balasubramanian, K. C. Ramya, K. Gayathri Devi
Cognitive Neurodynamics (2022) Vol. 17, Iss. 1, pp. 133-151
Open Access | Times Cited: 13
ANALYSIS OF THE COUPLING BETWEEN THE BRAIN AND FACIAL MUSCLE RESPONSES TO AUDITORY STIMULATION
Mirra Soundirarajan, Ondřej Krejcar, Hamidreza Namazi
Fractals (2022) Vol. 30, Iss. 06
Open Access | Times Cited: 13
COMPLEXITY-BASED ANALYSIS OF THE VARIATIONS OF THE BRAIN’S REACTIONS IN DIFFERENT TYPES OF LOCOMOTIONS
NAJMEH PAKNIYAT, Norazryana Mat Dawi, ONDREJ KREJCAR, et al.
Fractals (2023) Vol. 31, Iss. 03
Open Access | Times Cited: 7
Information-based analysis of the relation between human muscle reaction and walking path
Shahul Mujib Kamal, Norazryana Binti Mat Dawi, Sue Sim, et al.
Technology and Health Care (2020) Vol. 28, Iss. 6, pp. 675-684
Closed Access | Times Cited: 20
Cognitive function: holarchy or holacracy?
Codruța Bîrle, Dana Slăvoacă, Maria Balea, et al.
Neurological Sciences (2020) Vol. 42, Iss. 1, pp. 89-99
Closed Access | Times Cited: 19
ANALYSIS OF THE RELATION BETWEEN FRACTAL STRUCTURES OF MACHINED SURFACE AND MACHINE VIBRATION SIGNAL IN TURNING OPERATION
CHAI LIP KIEW, AKSHAYEN BRAHMANANDA, KH. TAUHID ISLAM, et al.
Fractals (2019) Vol. 28, Iss. 01, pp. 2050019-2050019
Closed Access | Times Cited: 18
Decoding of the Relationship between Brain and Facial Muscle Activities in Response to Dynamic Visual Stimuli
Mirra Soundirarajan, Mohammad Hossein Babini, Sue Sim, et al.
Fluctuation and Noise Letters (2020) Vol. 19, Iss. 04, pp. 2050041-2050041
Closed Access | Times Cited: 18
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