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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:

Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: A systematic review
Shahad Sabbar Joudar, A. S. Albahri, Rula A. Hamid
Computers in Biology and Medicine (2022) Vol. 146, pp. 105553-105553
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

An evaluation of machine learning approaches for early diagnosis of autism spectrum disorder
Rownak Ara Rasul, Promy Saha, Diponkor Bala, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100293-100293
Open Access | Times Cited: 17
A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Methodology
A. S. Albahri, Z.T. Al-Qaysi, Laith Alzubaidi, et al.
International Journal of Telemedicine and Applications (2023) Vol. 2023, pp. 1-24
Open Access | Times Cited: 27
Role of Artificial Intelligence for Autism Diagnosis Using DTI and fMRI: A Survey
Eman Mohamed Helmy, Ahmed Elnakib, Yaser ElNakieb, et al.
Biomedicines (2023) Vol. 11, Iss. 7, pp. 1858-1858
Open Access | Times Cited: 23
Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques: A Systematic Review
M. E. Alqaysi, A. S. Albahri, Rula A. Hamid
International Journal of Telemedicine and Applications (2022) Vol. 2022, pp. 1-26
Open Access | Times Cited: 32
Evaluation of Autism Spectrum Disorder Based on the Healthcare by Using Artificial Intelligence Strategies
Amit Sundas, Sumit Badotra, Shalli Rani, et al.
Journal of Sensors (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 20
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
Fuzzy Decision-Making Framework for Sensitively Prioritizing Autism Patients with Moderate Emergency Level
H Talib, A. S. Albahri, Thierry Oscar Edoh
Applied Data Science and Analysis (2023), pp. 16-41
Open Access | Times Cited: 16
Prioritizing complex health levels beyond autism triage using fuzzy multi-criteria decision-making
A. S. Albahri, Rula A. Hamid, Laith Alzubaidi, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 5, pp. 6159-6188
Open Access | Times Cited: 5
Latest clinical frontiers related to autism diagnostic strategies
Samuele Cortese, Alessio Bellato, Alessandra Gabellone, et al.
Cell Reports Medicine (2025), pp. 101916-101916
Open Access
Breaking Barriers—The Intersection of AI and Assistive Technology in Autism Care: A Narrative Review
Antonio Iannone, Daniele Giansanti
Journal of Personalized Medicine (2023) Vol. 14, Iss. 1, pp. 41-41
Open Access | Times Cited: 15
An Umbrella Review of the Fusion of fMRI and AI in Autism
Daniele Giansanti
Diagnostics (2023) Vol. 13, Iss. 23, pp. 3552-3552
Open Access | Times Cited: 14
Fuzzy Evaluation and Benchmarking Framework for Robust Machine Learning Model in Real-Time Autism Triage Applications
Ghadeer Ghazi Shayea, Mohd Hazli Mohammed Zabil, A. S. Albahri, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
Fuzzy Decision‐Making Framework for Evaluating Hybrid Detection Models of Trauma Patients
Rula A. Hamid, Idrees A. Zahid, A. S. Albahri, et al.
Expert Systems (2025) Vol. 42, Iss. 3
Closed Access
An Enhanced Detection System of Autism Spectrum Disorder Using Thermal Imaging and Deep Learning
Jegan Amarnath J, S. Meera
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework
M. E. Alqaysi, A. S. Albahri, Rula A. Hamid
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 21
Intelligent triage method for early diagnosis autism spectrum disorder (ASD) based on integrated fuzzy multi-criteria decision-making methods
Shahad Sabbar Joudar, A. S. Albahri, Rula A. Hamid
Informatics in Medicine Unlocked (2022) Vol. 36, pp. 101131-101131
Open Access | Times Cited: 21
Explainable Artificial Intelligence Multimodal of Autism Triage Levels Using Fuzzy Approach-Based Multi-criteria Decision-Making and LIME
A. S. Albahri, Shahad Sabbar Joudar, Rula A. Hamid, et al.
International Journal of Fuzzy Systems (2023) Vol. 26, Iss. 1, pp. 274-303
Closed Access | Times Cited: 10
Sensor-Based Locomotion Data Mining for Supporting the Diagnosis of Neurodegenerative Disorders: A Survey
Samaneh Zolfaghari, Sumaiya Suravee, Daniele Riboni, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 1, pp. 1-36
Open Access | Times Cited: 9
Towards Trustworthy Myopia Detection: Integration Methodology of Deep Learning Approach, XAI Visualization, and User Interface System
Worood Esam Noori, A. S. Albahri
Applied Data Science and Analysis (2023), pp. 1-15
Open Access | Times Cited: 7
Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model
M. E. Alqaysi, A. S. Albahri, Rula A. Hamid
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18161-18200
Closed Access | Times Cited: 2
Unlocking the Potential of Autism Detection: Integrating Traditional Feature Selection and Machine Learning Techniques
Samar Hazim Hammed, A. S. Albahri
Applied Data Science and Analysis (2023), pp. 42-58
Open Access | Times Cited: 6
A comprehensive analysis towards exploring the promises of AI-related approaches in autism research
Shivani Pandya, Swati Jain, J. P. Verma
Computers in Biology and Medicine (2023) Vol. 168, pp. 107801-107801
Closed Access | Times Cited: 6
A systematic literature review: Real-time 3D reconstruction method for telepresence system
Fazliaty Edora Fadzli, Ajune Wanis Ismail, Shafina Abd Karim Ishigaki
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0287155-e0287155
Open Access | Times Cited: 5
Balancing Act: The Dual Impacts of AI and Healthcare Algorithms on Patient Welfare in Telemedicine
Blanka Mitera, Karolina Harasimowicz
EUROPEAN RESEARCH STUDIES JOURNAL (2024) Vol. XXVII, Iss. Issue 2, pp. 243-254
Open Access | Times Cited: 1
Early-stage identification of autism in children using gesture monitoring based on artificial intelligence
Varun P. Gopi, Bibin Francis, Anju Thomas
Elsevier eBooks (2024), pp. 491-522
Closed Access | Times Cited: 1
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