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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:

SP-ASDNet: CNN-LSTM Based ASD Classification Model using Observer ScanPaths
Yudong Tao, Mei‐Ling Shyu
(2019), pp. 641-646
Closed Access | Times Cited: 57

Showing 1-25 of 57 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: 211
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI
Nan Wang, Dongren Yao, Lizhuang Ma, et al.
Medical Image Analysis (2021) Vol. 75, pp. 102279-102279
Closed Access | Times Cited: 60
Investigation of Eye-Tracking Scan Path as a Biomarker for Autism Screening Using Machine Learning Algorithms
K. K. Mujeeb Rahman, M. Monica Subashini
Diagnostics (2022) Vol. 12, Iss. 2, pp. 518-518
Open Access | Times Cited: 51
Deep Learning-Based Detection of Learning Disorders on a Large Scale Dataset of Eye Movement Records
Alae Eddine El Hmimdi, Zoı̈ Kapoula, Vivien Sainte Fare Garnot
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 519-541
Open Access | Times Cited: 7
Early detection of children with Autism Spectrum Disorder based on visual exploration of images
Pramit Mazumdar, Giuliano Arru, Federica Battisti
Signal Processing Image Communication (2021) Vol. 94, pp. 116184-116184
Closed Access | Times Cited: 51
Deep semantic gaze embedding and scanpath comparison for expertise classification during OPT viewing
Nora Castner, Thomas Kuebler, Katharina Scheiter, et al.
ACM Symposium on Eye Tracking Research and Applications (2020), pp. 1-10
Open Access | Times Cited: 50
Assessment of the Autism Spectrum Disorder Based on Machine Learning and Social Visual Attention: A Systematic Review
Maria Eleonora Minissi, Irene Alice Chicchi Giglioli, Fabrizia Mantovani, et al.
Journal of Autism and Developmental Disorders (2021) Vol. 52, Iss. 5, pp. 2187-2202
Open Access | Times Cited: 48
The Contribution of Machine Learning and Eye-Tracking Technology in Autism Spectrum Disorder Research: A Systematic Review
Konstantinos-Filippos Kollias, Christine K. Syriopoulou–Delli, Panagiotis Sarigiannidis, et al.
Electronics (2021) Vol. 10, Iss. 23, pp. 2982-2982
Open Access | Times Cited: 45
Predicting ASD diagnosis in children with synthetic and image-based eye gaze data
Sidrah Liaqat, Chongruo Wu, Prashanth Reddy Duggirala, et al.
Signal Processing Image Communication (2021) Vol. 94, pp. 116198-116198
Open Access | Times Cited: 44
Eye Tracking Biomarkers for Autism Spectrum Disorder Detection using Machine Learning and Deep Learning Techniques: Review
R. Asmetha Jeyarani, Radha Senthilkumar
Research in autism spectrum disorders (2023) Vol. 108, pp. 102228-102228
Open Access | Times Cited: 18
A Convolutional Deep Neural Network Approach to Predict Autism Spectrum Disorder Based on Eye-Tracking Scan Paths
May Alsaidi, Nadim Obeid, Nailah Al–Madi, et al.
Information (2024) Vol. 15, Iss. 3, pp. 133-133
Open Access | Times Cited: 5
Can Saccade and Vergence Properties Discriminate Stroke Survivors from Individuals with Other Pathologies? A Machine Learning Approach
Alae Eddine El Hmimdi, Zoı̈ Kapoula
Brain Sciences (2025) Vol. 15, Iss. 3, pp. 230-230
Open Access
Discriminative Few Shot Learning of Facial Dynamics in Interview Videos for Autism Trait Classification
Na Zhang, Mindi Ruan, Shuo Wang, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 2, pp. 1110-1124
Open Access | Times Cited: 23
Gaze Patterns in Children With Autism Spectrum Disorder to Emotional Faces: Scanpath and Similarity
Wei Zhou, Minqiang Yang, Jingsheng Tang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 865-874
Open Access | Times Cited: 3
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
Marjane Khodatars, Afshin Shoeibi, Navid Ghassemi, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 24
Novel deep learning models with novel integrated activation functions for autism screening: AutiNet and MinAutiNet
M. Kaviya Elakkiya, Dejey
Expert Systems with Applications (2023) Vol. 238, pp. 122102-122102
Closed Access | Times Cited: 8
Gaze-based Assessment of Expertise in Chess
Wolfgang Fuhl, Gazmend Hyseni
(2024), pp. 1-3
Closed Access | Times Cited: 2
Saliency4ASD: Challenge, dataset and tools for visual attention modeling for autism spectrum disorder
Jesús Gutiérrez, Zhaohui Che, Guangtao Zhai, et al.
Signal Processing Image Communication (2020) Vol. 92, pp. 116092-116092
Closed Access | Times Cited: 23
A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data
Brahim Benabderrahmane, Mohamed Gharzouli, Amira Benlecheb
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 2
Autism Identification Based on the Intelligent Analysis of Facial Behaviors: An Approach Combining Coarse- and Fine-Grained Analysis
Jingying Chen, Chen Chang, Ruyi Xu, et al.
Children (2024) Vol. 11, Iss. 11, pp. 1306-1306
Open Access | Times Cited: 2
A Trainable Feature Extractor Module for Deep Neural Networks and Scanpath Classification
Wolfgang Fuhl
Lecture notes in computer science (2024), pp. 292-304
Closed Access | Times Cited: 2
Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks
Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2023), pp. 1084-1092
Open Access | Times Cited: 6
Machine learning-based early diagnosis of autism according to eye movements of real and artificial faces scanning
Fanchao Meng, Fenghua Li, Shuxian Wu, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 6
Performance evaluation of Transfer Learning models for ASD prediction using non-clinical analysis
Ranjeet Vasant Bidwe, Sashikala Mishra, Simi Bajaj
(2023), pp. 474-483
Closed Access | Times Cited: 6
Visual attention prediction for Autism Spectrum Disorder with hierarchical semantic fusion
Yuming Fang, Haiyan Zhang, Yifan Zuo, et al.
Signal Processing Image Communication (2021) Vol. 93, pp. 116186-116186
Closed Access | Times Cited: 15
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