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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:

Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths
Adham Atyabi, Frederick Shic, Jiajun Jiang, et al.
ACM Transactions on Knowledge Discovery from Data (2022) Vol. 17, Iss. 2, pp. 1-20
Open Access | Times Cited: 10

Showing 10 citing articles:

Deep learning with image-based autism spectrum disorder analysis: A systematic review
Md. Zasim Uddin, Md Shahriar, Md. Nadim Mahamood, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107185-107185
Closed Access | Times Cited: 23
Student Recognition and Activity Monitoring in E-Classes Using Deep Learning in Higher Education
Nuha Alruwais, Mohammed Zakariah
IEEE Access (2024) Vol. 12, pp. 66110-66128
Open Access | Times Cited: 8
Eye tracking based clustering using the Korean version of the reading the mind in the eyes test
Se Jun Koo, Eun Young Jung, Jee Eun Min, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A review of machine learning in scanpath analysis for passive gaze-based interaction
Abdulrahman Mohamed Selim, Michael Barz, Omair Shahzad Bhatti, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 4
A Review on Autism Spectrum Disorder Screening by Artificial Intelligence Methods
Si-Jia Jia, Jia-Qi Jing, Chang-Jiang Yang
Journal of Autism and Developmental Disorders (2024)
Closed 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
Detection of autism spectrum disorder from changing of pupil diameter using multi-modal feature fusion based hybrid CNN model
Dilber Çetintaş, Taner Tuncer, Ahmet Çınar
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 8, pp. 11273-11284
Closed Access | Times Cited: 3
Uncertainty Inspired Early Autism Spectrum Disorder Screening via Contrastive Image-viewing Paradigm
Ying Zhang, Yaping Huang, Jiansong Qi, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 33, pp. 122-132
Open Access
A Framework Pipeline to Address Imbalanced Class Distribution Problem in Real-world Datasets
Uma Chinta, Adham Atyabi
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2023), pp. 0746-0753
Closed Access | Times Cited: 1
Unleashing the Potential of Artificial Bee Colony Optimized RNN-Bi-LSTM for Autism Spectrum Disorder Diagnosis
Suresh Babu Jugunta, Yousef A. Baker El‐Ebiary, K. Saravanan, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 11
Open Access | Times Cited: 1
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