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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:

Performance Analysis of Machine Learning Classifiers for ASD Screening
Alrence Santiago Halibas, Leslyn Bonachita Reazol, Erbeth Gerald Delvo, et al.
2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (2018), pp. 1-6
Closed Access | Times Cited: 17

Showing 17 citing articles:

Artificial intelligence and internet of things in screening and management of autism spectrum disorder
Tapotosh Ghosh, Md. Hasan Al Banna, Md. Sazzadur Rahman, et al.
Sustainable Cities and Society (2021) Vol. 74, pp. 103189-103189
Closed Access | Times Cited: 96
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: 33
Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy‐weighted zero‐inconsistency method
A. S. Albahri, A. A. Zaidan, Hassan A. Alsattar, et al.
Computational Intelligence (2022) Vol. 39, Iss. 2, pp. 225-257
Closed Access | Times Cited: 28
Improved Machine Learning based Classification Model for Early Autism Detection
Tania Akter, Md. Imran Khan, Mohammad Hanif Ali, et al.
2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (2021), pp. 742-747
Closed Access | Times Cited: 30
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: 22
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
Early automated prediction model for the diagnosis and detection of children with autism spectrum disorders based on effective sociodemographic and family characteristic features
A. S. Albahri, Rula A. Hamid, A. A. Zaidan, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 1, pp. 921-947
Closed Access | Times Cited: 19
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
Predicting Autism Spectrum Disorder (ASD) for Toddlers and Children Using Data Mining Techniques
Rasool Azeem Musa, Mehdi Ebady Manaa, Ghassan H. Abdul-Majeed
Journal of Physics Conference Series (2021) Vol. 1804, Iss. 1, pp. 012089-012089
Open Access | Times Cited: 10
Machine Learning Application for Predicting Autistic Traits in Toddlers
Khairan Rajab, Arun Padmavathy, Fadi Thabtah
Arabian Journal for Science and Engineering (2021) Vol. 46, Iss. 4, pp. 3793-3805
Closed Access | Times Cited: 8
A Hybrid Recommender System using MultiClassifier Regression Model for Autism Detection
K. Vijayalakshmi, M. Vinayakamurthy, Anuradha
2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) (2020), pp. 139-144
Closed Access | Times Cited: 6
Smart Video Analysis of Hazard Situation Using CNN Model
M. Iyyappan, R. Chinnaiyan, Mumal Singh, et al.
Lecture notes in electrical engineering (2024), pp. 295-306
Closed Access
Hybrid Optimization Enabled DenseNetforAutism Spectrum Disorders Using MRI Image
U. Sakthi, Pon Harshavardhanan, N. Raju, et al.
Computational Biology and Chemistry (2024) Vol. 115, pp. 108335-108335
Closed Access
Prediction and Comparison using AdaBoost and ML Algorithms with Autistic Children Dataset
Mary Stella. J
International Journal of Engineering Research and (2020) Vol. V9, Iss. 07
Open Access | Times Cited: 3
Measuring Throughput and Latency of Machine Learning Techniques for Intrusion Detection
Winfred Yaokumah, Charity Yaa Mansa Baidoo, Ebenezer Owusu
Advances in computational intelligence and robotics book series (2023), pp. 27-49
Closed Access | Times Cited: 1
A Real-time Person Identity Detection System Using Machine Learning
Anushka Vilas Wagh, Priti Prem Ghodke, Prit Ujjawal Patil, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2023), pp. 277-281
Closed Access
Autism Spectrum Disorder Detection: Subjective and Objective Approaches
Ranit Chowdhury, Arnab Barua, Mehdi Hasan Chowdhury
2019 4th International Conference on Electrical Information and Communication Technology (EICT) (2023), pp. 1-6
Closed Access
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