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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 review on diagnostic autism spectrum disorder approaches based on the Internet of Things and Machine Learning
Mehdi Hosseinzadeh, Jalil Koohpayehzadeh, Ahmed Omar Bali, et al.
The Journal of Supercomputing (2020) Vol. 77, Iss. 3, pp. 2590-2608
Closed Access | Times Cited: 41

Showing 1-25 of 41 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: 216
Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal
Sustainable Cities and Society (2022) Vol. 85, pp. 104089-104089
Closed Access | Times Cited: 173
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, et al.
Frontiers in Molecular Neuroscience (2022) Vol. 15
Open Access | Times Cited: 74
Detection of autism spectrum disorder (ASD) in children and adults using machine learning
Muhammad Shoaib Farooq, Rabia Tehseen, Maidah Sabir, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 66
Machine Learning-based Evaluation of Heart Rate Variability Response in Children with Autism Spectrum Disorder
Vazeer Ali Mohammed, Mehmood Ali Mohammed, Murtuza Ali Mohammed, et al.
(2023), pp. 1022-1028
Closed Access | Times Cited: 42
Towards development of IoT-ML driven healthcare systems: A survey
Nabila Sabrin Sworna, A.K.M. Muzahidul Islam, Swakkhar Shatabda, et al.
Journal of Network and Computer Applications (2021) Vol. 196, pp. 103244-103244
Closed Access | Times Cited: 66
An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders
Mohamed Abdel Hameed, M. Hassaballah, Mosa E. Hosney, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 43
Event-driven IoT architecture for data analysis of reliable healthcare application using complex event processing
Amir Masoud Rahmani, Zahra Babaei, Alireza Souri
Cluster Computing (2020) Vol. 24, Iss. 2, pp. 1347-1360
Closed Access | Times Cited: 60
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: 46
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
Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care
Annarita Vignapiano, Francesco Monaco, Stefania Landi, et al.
Frontiers in Psychiatry (2025) Vol. 15
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
Autism spectrum disorders detection based on multi-task transformer neural network
Le Gao, Zhimin Wang, Yun Long, et al.
BMC Neuroscience (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
The contribution of Machine Learning and Eye-tracking technology in Autism Spectrum Disorder research: A Review Study
Konstantinos-Filippos Kollias, Christine K. Syriopoulou–Delli, Panagiotis Sarigiannidis, et al.
(2021), pp. 1-4
Closed Access | Times Cited: 21
Supporting autism spectrum disorder screening and intervention with machine learning and wearables: a systematic literature review
Rita Francese, Xiaomin Yang
Complex & Intelligent Systems (2021) Vol. 8, Iss. 5, pp. 3659-3674
Open Access | Times Cited: 20
A new classification system for autism based on machine learning of artificial intelligence
Seyed Reza Shahamiri, Fadi Thabtah, Neda Abdelhamid
Technology and Health Care (2021) Vol. 30, Iss. 3, pp. 605-622
Closed Access | Times Cited: 18
Autism detection in High-Functioning Adults with the application of Eye-Tracking technology and Machine Learning
Konstantinos-Filippos Kollias, Christine K. Syriopoulou–Delli, Panagiotis Sarigiannidis, et al.
(2022), pp. 1-4
Closed Access | Times Cited: 12
Machine Learning Techniques for Autism Spectrum Disorder: current trends and future directions
Kainat Khan, Rahul Katarya
(2023) Vol. 100, pp. 1-7
Closed Access | Times Cited: 5
Assistive Technology for Autism Spectrum Disorder: Systematic Literature Review
Nur Anis Suhaila, Norazah Nordin
International Journal of Advanced Research in Education and Society (2022)
Open Access | Times Cited: 8
Role of AI/ML in the Study of Autism Spectrum Disorders: A Bibliometric Analysis
A. Jiran Meitei, Bibhuti Bhusan Mohapatra, Budhachandra Khundrakpam, et al.
Journal of Technology in Behavioral Science (2024)
Closed Access | Times Cited: 1
A survey of data mining methodologies in the environment of IoT and it’s variants
Syeda Zeenat Marshoodulla, Goutam Saha
Journal of Network and Computer Applications (2024) Vol. 228, pp. 103907-103907
Closed Access | Times Cited: 1
Brain-region specific autism prediction from electroencephalogram signals using graph convolution neural network
Neha Prerna Tigga, Shruti Garg, Nishant Goyal, et al.
Technology and Health Care (2024), pp. 1-25
Closed Access | Times Cited: 1
Utilizing deep learning models in an intelligent eye-tracking system for autism spectrum disorder diagnosis
Nizar Alsharif, Mosleh Hmoud Al-Adhaileh, Mohammed Al‐Yaari, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
A survey on technological tools and systems for diagnosis and therapy of autism spectrum disorder
Mariasole Bondioli, Stefano Chessa, Alexander Kocian, et al.
Human-Computer Interaction (2023) Vol. 39, Iss. 3-4, pp. 145-173
Closed Access | Times Cited: 3
Autism Spectrum Disorders: The Mitochondria Connection
Ya Wen, Yuan Yao
Exon Publications eBooks (2021), pp. 79-94
Open Access | Times Cited: 7
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