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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:

Artificial intelligence and sensor-based autism spectrum disorder diagnosis using brain connectivity analysis
Sricheta Parui, Debasis Samanta, Nishant Chakravorty, et al.
Computers & Electrical Engineering (2023) Vol. 108, pp. 108720-108720
Open Access | Times Cited: 13

Showing 13 citing articles:

AI-enabled Computational Intelligence Approach to Neurodevelopmental Disorders Detection Using rs-fMRI Data
Soham Bandyopadhyay, Monalisa Sarma, Debasis Samanta
Computers & Electrical Engineering (2025) Vol. 123, pp. 110117-110117
Closed Access | Times Cited: 1
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 | Times Cited: 1
Classification Methods of Deep Learning for Detecting Autism Spectrum Disorder in Children (4–12 Years)
Y. C. A. Padmanabha Reddy, C. Kishor Kumar Reddy, Kari Lippert, et al.
(2025), pp. 297-319
Closed Access
Integrating Artificial Intelligence, Internet of Things, and Sensor-Based Technologies: A Systematic Review of Methodologies in Autism Spectrum Disorder Detection
Georgios Bouchouras, Konstantinos Kotis
Algorithms (2025) Vol. 18, Iss. 1, pp. 34-34
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
AIM-Scan: AI-Enabled Mobile Healthcare Unit to Detect the Emotional State of Autistic Children
Sricheta Parui, Deborsi Basu
(2025), pp. 399-412
Closed Access
Unraveling Autism Through FCN Using Hierarchical Support Vector Machine (H-SVM) and Interactive Embedding-K Nearest Neighbors (InEm-KNN)
S. Mitra, Utkarsh R. Patel, Sricheta Parui
Lecture notes in computer science (2025), pp. 194-208
Closed Access
Advancing EEG-Based Emotion Detection with Fusion of F-Connectivity and EMD Features and Ensemble Classification
Sricheta Parui, Supriyo Mitra, Anjali Diwan
Lecture notes in computer science (2025), pp. 265-283
Closed Access
GenAI, Robots, and Inclusive Special Education
Alperen Sağdıç, Elif Elumar-efe, Sunagül Sani-Bozkurt
Advances in educational technologies and instructional design book series (2024), pp. 309-326
Closed Access | Times Cited: 3
MCBERT: A Multi-Modal Framework for the Diagnosis of Autism Spectrum Disorder
Kainat Khan, Rahul Katarya
Biological Psychology (2024), pp. 108976-108976
Closed Access | Times Cited: 3
Autistic recognition from EEG signals by extracted features from several time series models
Mehdi Rajabioun
Research Square (Research Square) (2024)
Open 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
Effectiveness of ML with Neuroimaging Data in Detecting Individuals/Children with ASD
Naren Pudupatty Ramakrishnan, Shweta Loonkar, Karishma Desai
(2024), pp. 1-9
Closed Access
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