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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-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN
Ridha Djemal, Khalil AlSharabi, Sutrisno Ibrahim, et al.
BioMed Research International (2017) Vol. 2017, pp. 1-9
Open Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review
Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104949-104949
Closed Access | Times Cited: 217
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals
Mehmet Bayğın, Şengül Doğan, Türker Tuncer, et al.
Computers in Biology and Medicine (2021) Vol. 134, pp. 104548-104548
Closed Access | Times Cited: 107
Early detection of Alzheimer’s disease from EEG signals using Hjorth parameters
Mehrnoosh Sadat Safi, Seyed Mohammad Mehdi Safi
Biomedical Signal Processing and Control (2020) Vol. 65, pp. 102338-102338
Closed Access | Times Cited: 123
Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data
Ke Niu, Jiayang Guo, Yijie Pan, et al.
Complexity (2020) Vol. 2020, pp. 1-9
Open Access | Times Cited: 87
Autism Spectrum Disorder Diagnostic System Using HOS Bispectrum with EEG Signals
The‐Hanh Pham, Jahmunah Vicnesh, Joel Koh En Wei, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 3, pp. 971-971
Open Access | Times Cited: 85
A spectrogram image based intelligent technique for automatic detection of autism spectrum disorder from EEG
Md. Nurul Ahad Tawhid, Siuly Siuly, Hua Wang, et al.
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0253094-e0253094
Open Access | Times Cited: 76
A robust method for early diagnosis of autism spectrum disorder from EEG signals based on feature selection and DBSCAN method
Donya Abdolzadegan, Mohammad Hossein Moattar, Majid Ghoshuni
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 1, pp. 482-493
Closed Access | Times Cited: 72
EEG Signal Processing for Alzheimer’s Disorders Using Discrete Wavelet Transform and Machine Learning Approaches
Khalil AlSharabi, Yasser Bin Salamah, Akram M. Abdurraqeeb, et al.
IEEE Access (2022) Vol. 10, pp. 89781-89797
Closed Access | Times Cited: 64
Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals
Berna Arı, Nebras Sobahi, Ömer Faruk Alçin, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105311-105311
Closed Access | Times Cited: 43
Identification of autism spectrum disorder based on electroencephalography: A systematic review
Jing Li, Xiangjin Kong, Linlin Sun, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108075-108075
Closed Access | Times Cited: 14
EEG entropy analysis in autistic children
Jiannan Kang, Huimin Chen, Xin Li, et al.
Journal of Clinical Neuroscience (2018) Vol. 62, pp. 199-206
Closed Access | Times Cited: 76
General model for best feature extraction of EEG using discrete wavelet transform wavelet family and differential evolution
Ahmad Al–Qerem, Faten Kharbat, Shadi Nashwan, et al.
International Journal of Distributed Sensor Networks (2020) Vol. 16, Iss. 3, pp. 155014772091100-155014772091100
Open Access | Times Cited: 68
Motor Skills as Moderators of Core Symptoms in Autism Spectrum Disorders: Preliminary Data From an Exploratory Analysis With Artificial Neural Networks
Francesca Fulceri, Enzo Grossi, Annarita Contaldo, et al.
Frontiers in Psychology (2019) Vol. 9
Open Access | Times Cited: 63
Computer-aided autism diagnosis via second-order difference plot area applied to EEG empirical mode decomposition
Enas Abdulhay, Maha Alafeef, Loai Alzghoul, et al.
Neural Computing and Applications (2018) Vol. 32, Iss. 15, pp. 10947-10956
Closed Access | Times Cited: 59
EEG-based Processing and Classification Methodologies for Autism Spectrum Disorder: A Review
Gunavaran Brihadiswaran, Dilantha Haputhanthri, Sahan Gunathilaka, et al.
Journal of Computer Science (2019) Vol. 15, Iss. 8, pp. 1161-1183
Open Access | Times Cited: 54
Diagnosis of autism spectrum disorder from EEG using a time–frequency spectrogram image‐based approach
Md. Nurul Ahad Tawhid, Siuly Siuly, Hua Wang
Electronics Letters (2020) Vol. 56, Iss. 25, pp. 1372-1375
Closed Access | Times Cited: 53
A novel automated autism spectrum disorder detection system
Shu Lih Oh, Jahmunah Vicnesh, N. Arunkumar, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 5, pp. 2399-2413
Open Access | Times Cited: 51
Multi-atlas classification of autism spectrum disorder with hinge loss trained deep architectures: ABIDE I results
Thomas Martial Epalle, Yuqing Song, Zhe Liu, et al.
Applied Soft Computing (2021) Vol. 107, pp. 107375-107375
Closed Access | Times Cited: 50
Detecting Autism Spectrum Disorder Using Spectral Analysis of Electroretinogram and Machine Learning: Preliminary results
Sultan Mohammad Manjur, Md-Billal Hossain, Paul A. Constable, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 3435-3438
Open Access | Times Cited: 29
Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and open issues
Shahad Sabbar Joudar, A. S. Albahri, Rula A. Hamid, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 53-117
Closed Access | Times Cited: 20
Energy-Efficient EEG-Based Scheme for Autism Spectrum Disorder Detection Using Wearable Sensors
Sarah Alhassan, Adel Soudani, Manan AlMusallam
Sensors (2023) Vol. 23, Iss. 4, pp. 2228-2228
Open Access | Times Cited: 18
Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
Zhiyi Chen, Xuerong Liu, Qingwu Yang, et al.
JAMA Network Open (2023) Vol. 6, Iss. 3, pp. e231671-e231671
Open Access | Times Cited: 17
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Zhiyi Chen, Bowen Hu, Xuerong Liu, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 17
An Automatic Framework for Detecting Autism Spectrum Disorder From EEG Signals Using TFD
Rajveer Singh Lalawat, Varun Bajaj
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10632-10639
Closed Access | Times Cited: 7
Autism spectrum disorder classification on electroencephalogram signal using deep learning algorithm
Nur Alisa Ali
IAES International Journal of Artificial Intelligence (2020) Vol. 9, Iss. 1, pp. 91-91
Open Access | Times Cited: 49
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