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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:

EEG classification of ADHD and normal children using non-linear features and neural network
Mohammad Reza Mohammadi, Ali Khaleghi, Ali Motie Nasrabadi, et al.
Biomedical Engineering Letters (2016) Vol. 6, Iss. 2, pp. 66-73
Closed Access | Times Cited: 206

Showing 1-25 of 206 citing articles:

Computed tomography super-resolution using deep convolutional neural network
Junyoung Park, Donghwi Hwang, Kyeong Yun Kim, et al.
Physics in Medicine and Biology (2018) Vol. 63, Iss. 14, pp. 145011-145011
Closed Access | Times Cited: 193
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: 113
Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
Smith K. Khare, Sonja March, Prabal Datta Barua, et al.
Information Fusion (2023) Vol. 99, pp. 101898-101898
Open Access | Times Cited: 76
An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals
Smith K. Khare, U. Rajendra Acharya
Computers in Biology and Medicine (2023) Vol. 155, pp. 106676-106676
Open Access | Times Cited: 55
Improving the Accuracy of Simultaneously Reconstructed Activity and Attenuation Maps Using Deep Learning
Donghwi Hwang, Kyeong Yun Kim, Seung Kwan Kang, et al.
Journal of Nuclear Medicine (2018) Vol. 59, Iss. 10, pp. 1624-1629
Open Access | Times Cited: 137
Artificial Neural Network Classification of Motor‐Related EEG: An Increase in Classification Accuracy by Reducing Signal Complexity
Vladimir Maksimenko, Semen Kurkin, Elena Pitsik, et al.
Complexity (2018) Vol. 2018, Iss. 1
Open Access | Times Cited: 121
Performance of machine learning methods in diagnosing Parkinson’s disease based on dysphonia measures
Salim Lahmiri, Debra Ann Dawson, Amir Shmuel
Biomedical Engineering Letters (2017) Vol. 8, Iss. 1, pp. 29-39
Open Access | Times Cited: 115
Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG
Majid Moghaddari, ‪Mina Zolfy Lighvan, Sebelan Danishvar
Computer Methods and Programs in Biomedicine (2020) Vol. 197, pp. 105738-105738
Closed Access | Times Cited: 110
Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals
Hui Tian Tor, Chui Ping Ooi, Nikki Lim-Ashworth, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 200, pp. 105941-105941
Closed Access | Times Cited: 101
EEG characteristics of children with attention-deficit/hyperactivity disorder
He Chen, Wenqing Chen, Yan Song, et al.
Neuroscience (2019) Vol. 406, pp. 444-456
Closed Access | Times Cited: 89
Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals
Joel E.W. Koh, Chui Ping Ooi, Nikki Lim-Ashworth, et al.
Computers in Biology and Medicine (2021) Vol. 140, pp. 105120-105120
Closed Access | Times Cited: 62
Direction of information flow between brain regions in ADHD and healthy children based on EEG by using directed phase transfer entropy
Ali Ekhlasi, Ali Motie Nasrabadi, Mohammad Reza Mohammadi
Cognitive Neurodynamics (2021) Vol. 15, Iss. 6, pp. 975-986
Open Access | Times Cited: 59
Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches
Ali Khaleghi, Mohammad Reza Mohammadi, Kian Shahi, et al.
Clinical Psychopharmacology and Neuroscience (2022) Vol. 20, Iss. 1, pp. 26-36
Open Access | Times Cited: 52
Detection of ADHD cases using CNN and classical classifiers of raw EEG
Behrad TaghiBeyglou, Ashkan Shahbazi, Fatemeh Bagheri, et al.
Computer Methods and Programs in Biomedicine Update (2022) Vol. 2, pp. 100080-100080
Open Access | Times Cited: 41
ADHD detection using dynamic connectivity patterns of EEG data and ConvLSTM with attention framework
Mohammadreza Bakhtyari, Sayeh Mirzaei
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103708-103708
Closed Access | Times Cited: 40
Optimal Channels and Features Selection Based ADHD Detection From EEG Signal Using Statistical and Machine Learning Techniques
Md. Maniruzzaman, Md. Al Mehedi Hasan, Nobuyoshi Asai, et al.
IEEE Access (2023) Vol. 11, pp. 33570-33583
Open Access | Times Cited: 34
Automatic Identification of Children with ADHD from EEG Brain Waves
Anika Alim, Masudul H. Imtiaz
Signals (2023) Vol. 4, Iss. 1, pp. 193-205
Open Access | Times Cited: 31
Machine learning in attention-deficit/hyperactivity disorder: new approaches toward understanding the neural mechanisms
Meng Cao, Elizabeth Martin, Xiaobo Li
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open 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
Classification Accuracy of Neuroimaging Biomarkers in Attention-Deficit/Hyperactivity Disorder: Effects of Sample Size and Circular Analysis
Alfredo A. Pulini, Wesley T. Kerr, Sandra K. Loo, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2018) Vol. 4, Iss. 2, pp. 108-120
Open Access | Times Cited: 79
Diagnosis of attention deficit hyperactivity disorder using imaging and signal processing techniques
Chaitra Sridhar, Shreya Bhat, U. Rajendra Acharya, et al.
Computers in Biology and Medicine (2017) Vol. 88, pp. 93-99
Closed Access | Times Cited: 69
Diagnosis of Attention Deficit Hyperactivity Disorder with combined time and frequency features
Miray Altınkaynak, Nazan Dolu, Ayşegül Güven, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 3, pp. 927-937
Closed Access | Times Cited: 56
Diagnosis of attention deficit hyperactivity disorder using non‐linear analysis of the EEG signal
Yasaman Kiani Boroujeni, Ali Asghar Rastegari, Hamed Khodadadi
IET Systems Biology (2019) Vol. 13, Iss. 5, pp. 260-266
Open Access | Times Cited: 55
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: 33
Efficient Feature Selection and Machine Learning Based ADHD Detection Using EEG Signal
Md. Maniruzzaman, Jungpil Shin, Md. Al Mehedi Hasan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 72, Iss. 3, pp. 5179-5195
Open Access | Times Cited: 31
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