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:

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: 216

Showing 51-75 of 216 citing articles:

NSF DARE—transforming modeling in neurorehabilitation: a patient-in-the-loop framework
Joshua G. A. Cashaback, Jessica L. Allen, Amber H.Y. Chou, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 5

Optimized assessment of physical rehabilitation exercises using spatiotemporal, sequential graph-convolutional networks
Ikram Kourbane, Panagiotis Papadakis, Mihai Andries
Computers in Biology and Medicine (2025) Vol. 186, pp. 109578-109578
Open Access

Enhanced Early Autism Screening: Assessing Domain Adaptation with Distributed Facial Image Datasets and Deep Federated Learning
Mohammad Shafiul Alam, Muhammad Mahbubur Rashid
IIUM Engineering Journal (2025) Vol. 26, Iss. 1, pp. 113-128
Open Access

USING CONVOLUTIONAL NETWORK IN GRAPHICAL MODEL DETECTION OF AUTISM DISORDERS WITH FUZZY INFERENCE SYSTEMS
S. Rajaprakash, C. Bagath Basha, C. Sunitha Ram, et al.
Intelligence-Based Medicine (2025) Vol. 11, pp. 100213-100213
Open Access

Accessibility to sports performance for greater inclusiveness through robotics and artificial intelligence research
Francesca De Marco, Antonio Brusini
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-7
Closed Access

CNN-KCL: Automatic Myocarditis Diagnosis using Convolutional Neural Network Combined with K-means Clustering
Danial Sharifrazi, Roohallah Alizadehsani, Javad Hassannataj Joloudari, et al.
(2020)
Open Access | Times Cited: 42

Automatic Diagnosis of Epileptic Seizures in EEG Signals Using Fractal Dimension Features and Convolutional Autoencoder Method
Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi, et al.
Big Data and Cognitive Computing (2021) Vol. 5, Iss. 4, pp. 78-78
Open Access | Times Cited: 36

Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder
Fangyu Zhang, Yanjie Wei, Jin Liu, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105854-105854
Open Access | Times Cited: 26

Diabetic retinopathy classification using a novel DAG network based on multi-feature of fundus images
Lingling Fang, Huan Qiao
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103810-103810
Closed Access | Times Cited: 25

Identifying and Predicting Autism Spectrum Disorder Based on Multi-Site Structural MRI With Machine Learning
Duan Yu-mei, Weidong Zhao, Cheng Luo, et al.
Frontiers in Human Neuroscience (2022) Vol. 15
Open Access | Times Cited: 24

Deep structured residual encoder-decoder network with a novel loss function for nuclei segmentation of kidney and breast histopathology images
Amit Kumar Chanchal, Shyam Lal, Jyoti Kini
Multimedia Tools and Applications (2022) Vol. 81, Iss. 7, pp. 9201-9224
Open Access | Times Cited: 22

Vitasd: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis
Xu Cao, Wenqian Ye, Elena Sizikova, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access | Times Cited: 15

Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects
C. Jiménez-Mesa, Juan E. Arco, Francisco J. Martínez-Murcia, et al.
Pharmacological Research (2023) Vol. 197, pp. 106984-106984
Open Access | Times Cited: 15

Evaluation of Augmentation Methods in Classifying Autism Spectrum Disorders from fMRI Data with 3D Convolutional Neural Networks
Johan Jönemo, David Abramian, Anders Eklund
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2773-2773
Open Access | Times Cited: 13

Efficient Deep Learning-Based Data-Centric Approach for Autism Spectrum Disorder Diagnosis from Facial Images Using Explainable AI
Mohammad Shafiul Alam, Muhammad Mahbubur Rashid, Ahmed Rimaz Faizabadi, et al.
Technologies (2023) Vol. 11, Iss. 5, pp. 115-115
Open Access | Times Cited: 13

Attention-Focused Eye Gaze Analysis to Predict Autistic Traits Using Transfer Learning
Ranjeet Vasant Bidwe, Sashikala Mishra, Simi Bajaj, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4

Contrastive machine learning reveals in EEG resting-state network salient features specific to autism spectrum disorder
Muhammad Salman Kabir, Semen Kurkin, Galina Portnova, et al.
Chaos Solitons & Fractals (2024) Vol. 185, pp. 115123-115123
Closed Access | Times Cited: 4

prova de conceito para o diagnóstico diferencial do transtorno do espectro autista usando aprendizado de máquina
Flávio Secco Fonseca, Maria Vitória Soares Muniz, Catarina Victória Nascimento de Oliveira, et al.
Gestão org (2025) Vol. 22, Iss. 1, pp. 1-20
Open Access

Role of artificial intelligence in data-centric additive manufacturing processes for biomedical applications
Saman Mohammadnabi, Nima Moslemy, Hadi Taghvaei, et al.
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials (2025) Vol. 166, pp. 106949-106949
Closed Access

Electroencephalography in Autism Spectrum Disorder
Magdalena Hankus, Patrycja Ochman-Pasierbek, Malwina Brzozowska, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 6, pp. 1882-1882
Open Access

Deep learning frameworks for MRI-based diagnosis of neurological disorders: a systematic review and meta-analysis
Syed Saad Azhar Ali, Khuhed Memon, Norashikin Yahya, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access

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