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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:

A Multi-Classifier-Based Recommender System for Early Autism Spectrum Disorder Detection using Machine Learning
Anita Shinde, Dipti D. Patil
Healthcare Analytics (2023) Vol. 4, pp. 100211-100211
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

The emergence of artificial intelligence in autism spectrum disorder research: A review of neuro imaging and behavioral applications
i b, P. M. Durai Raj Vincent
Computer Science Review (2025) Vol. 56, pp. 100718-100718
Closed Access | Times Cited: 1
3T dilated inception network for enhanced autism spectrum disorder diagnosis using resting-state fMRI data
V. Kavitha, C. Siva Ram Murthy
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access | Times Cited: 1
A Multi‐Model Approach for Attention Prediction in Gaming Environments for Autistic Children
P Valarmathi, A. Packialatha
Computer Animation and Virtual Worlds (2025) Vol. 36, Iss. 1
Closed Access
Autism Data Classification Using AI Algorithms with Rules: Focused Review
Abdulhamid Alsbakhi, Fadi Thabtah, Joan Lu
Bioengineering (2025) Vol. 12, Iss. 2, pp. 160-160
Open Access
Explainable and secure framework for autism prediction using multimodal eye tracking and kinematic data
Ahmad Almadhor, Areej Alasiry, Shtwai Alsubai, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 3
Open Access
Optimization of Machine Learning with Feature Selection Techniques in Autism Spectrum Disorder Detection
R Nivetha, N. Rajathi, V. Vanitha
Lecture notes in electrical engineering (2025), pp. 371-382
Closed Access
Leveraging Deep Learning for Enhanced Diagnosis of Autism Spectrum Disorder using Resting-State functional Magnetic Resonance Imaging and Clinical Data
A. Sheik Abdullah, V Keerthana, S. Geetha, et al.
Results in Engineering (2025), pp. 104444-104444
Open Access
Machine Learning–Based Approach for Early Screening of Autism Spectrum Disorders
Usama Jabbar, Muhammad Waseem Iqbal, Abdullah Alourani, et al.
Applied Computational Intelligence and Soft Computing (2025) Vol. 2025, Iss. 1
Open Access
Investigating Multiclass Autism Spectrum Disorder Classification using Machine Learning Techniques
Puneet Bawa, Virender Kadyan, Archana Mantri, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 8, pp. 100602-100602
Open Access | Times Cited: 4
A Comprehensive Survey on Recommender Systems Techniques and Challenges in Big Data Analytics with IOT Applications
Anita Shinde, Dipti D. Patil, Krishna Kumar Tripathi
Revista de Gestão Social e Ambiental (2024) Vol. 18, Iss. 2, pp. e05195-e05195
Open Access | Times Cited: 2
A systematic review of the literature on deep learning approaches for cross-domain recommender systems
Matthew O. Ayemowa, Roliana Ibrahim, Yunusa Adamu Bena
Decision Analytics Journal (2024), pp. 100518-100518
Open Access | Times Cited: 2
Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence
Asma Aldrees, Stephen Ojo, J. A. Wanliss, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
Enhancing early detection of autistic spectrum disorder in children using machine learning approaches
Rashid Ayub, Syed Immamul Ansarullah, Faizan Samdani, et al.
Journal of King Saud University - Science (2024) Vol. 36, Iss. 10, pp. 103468-103468
Open Access | Times Cited: 1
Implementing Genetic Algorithms for Optimization in Neuro-Cognitive Rehabilitation Robotics
L. B. Abhang, Ravindra Changala, Anudeb Ghosh, et al.
(2024), pp. 730-737
Closed Access | Times Cited: 1
Efficient machine learning models across multiple datasets for autism spectrum disorder diagnoses
Amr E. Eldin Rashed, Waleed M. Bahgat, Ali Mohammed Saleh Ahmed, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106949-106949
Closed Access | Times Cited: 1
Trailblazing ASD Behavioral Research: Leveraging Modified MLP with Cross-Weighted Attention Mechanism at the Forefront
Mohemmed Sha, Abdullah Alqahtani, Shtwai Alsubai, et al.
Deleted Journal (2024) Vol. 3, Iss. 4
Open Access
Deep Learning Social Filtering Model for Event Recommendation Services
David Ademola Oyemade, Linda Aworonye
American Journal of Artificial Intelligence (2024) Vol. 8, Iss. 1, pp. 22-31
Open Access
Neural Networks Unveiling Autism: Deep Learning Approaches for Spectrum Detection
Teena P Biju, M. Roshni Thanka, E. Bijolin Edwin, et al.
(2024), pp. 445-450
Closed Access
Leveraging Deep Learning for Enhanced Diagnosis of Autism Spectrum Disorder Using Resting-State Functional Magnetic Resonance Imaging and Clinical Data
Sheik Abdullah A, V Keerthana, S Geetha
(2024)
Closed Access
Autism Spectrum Disorder Prediction: A Machine Learning Approach
Yassmine Souheir, Ayoub Faik, Larbi Faik, et al.
Lecture notes in networks and systems (2024), pp. 205-213
Closed Access
Intelligent Diagnosis of Autism Spectrum Disorder: Harnessing Machine Learning for Enhanced Early Detection
Tushar Taggar, Subhag Sharma, Pooja Sharma
Lecture notes in networks and systems (2024), pp. 369-378
Closed Access
Machine learning data-based approaches for autism spectrum disorder classification utilising facial images
Rafail Nikou, Aristeidis Tsaknis, Paschalis Margaritis, et al.
AIP conference proceedings (2024) Vol. 3220, pp. 050013-050013
Closed Access
Utilização de Machine Learning para diagnose em estudantes com Transtorno do Espectro Autista a partir de bases de dados públicas
Sara R. A. Leal, Suzerlly V. L. Pires, V. Rocha, et al.
(2024), pp. 1466-1479
Closed Access
A Comprehensive Survey on Recommender Systems Techniques and Challenges in Big Data Analytics with IoT Applications
Anita Shinde, Dipti D. Patil, Krishna Kumar Tripathi
Journal of Law and Sustainable Development (2023) Vol. 11, Iss. 11, pp. e2243-e2243
Open 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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