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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:

TestGraphia, a Software System for the Early Diagnosis of Dysgraphia
Giovanni Dimauro, Vitoantonio Bevilacqua, Lucio Colizzi, et al.
IEEE Access (2020) Vol. 8, pp. 19564-19575
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

From Assistive Technologies to Metaverse—Technologies in Inclusive Higher Education for Students With Specific Learning Difficulties: A Review
Gokul Yenduri, Rajesh Kaluri, Dharmendra Singh Rajput, et al.
IEEE Access (2023) Vol. 11, pp. 64907-64927
Open Access | Times Cited: 43
RALF: an adaptive reinforcement learning framework for teaching dyslexic students
Seyyed Amir Hadi Minoofam, Azam Bastanfard, Mohammad Reza Keyvanpour
Multimedia Tools and Applications (2022) Vol. 81, Iss. 5, pp. 6389-6412
Open Access | Times Cited: 32
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
Jayakanth Kunhoth, Somaya Al‐Maadeed, Moutaz Saleh, et al.
Expert Systems with Applications (2023) Vol. 231, pp. 120740-120740
Open Access | Times Cited: 17
Automated systems for diagnosis of dysgraphia in children: a survey and novel framework
Jayakanth Kunhoth, Somaya Al‐Maadeed, Suchithra Kunhoth, et al.
International Journal on Document Analysis and Recognition (IJDAR) (2024) Vol. 27, Iss. 4, pp. 707-735
Open Access | Times Cited: 6
Identifying gaps in using artificial intelligence to support students with intellectual disabilities from education and health perspectives
Faten Kharbat, Abdallah AlShawabkeh, M. Lynn Woolsey
Aslib Journal of Information Management (2020) Vol. 73, Iss. 1, pp. 101-128
Closed Access | Times Cited: 41
An intelligent tutoring system architecture based on fuzzy neural network (FNN) for special education of learning disabled learners
Sarthika Dutt, Neelu Jyothi Ahuja, Ranjana Kumari
Education and Information Technologies (2021) Vol. 27, Iss. 2, pp. 2613-2633
Closed Access | Times Cited: 38
Personal Heart Health Monitoring Based on 1D Convolutional Neural Network
Antonella Nannavecchia, Francesco Girardi, Pio Raffaele Fina, et al.
Journal of Imaging (2021) Vol. 7, Iss. 2, pp. 26-26
Open Access | Times Cited: 36
Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods
Jayakanth Kunhoth, Somaya Al‐Maadeed, Moutaz Saleh, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104715-104715
Open Access | Times Cited: 16
Dysgraphia Differs Between Children With Developmental Coordination Disorder and/or Reading Disorder
Caroline Jolly, Marianne Jover, Jérémy Danna
Journal of Learning Disabilities (2024) Vol. 57, Iss. 6, pp. 397-410
Open Access | Times Cited: 5
Semantic Segmentation of Conjunctiva Region for Non-Invasive Anemia Detection Applications
Sivachandar Kasiviswanathan, V. Thulasi Bai, Lorenzo Simone, et al.
Electronics (2020) Vol. 9, Iss. 8, pp. 1309-1309
Open Access | Times Cited: 38
Interpol questioned documents review 2019–2022
Marie Deviterne-Lapeyre, Samiah Ibrahim
Forensic Science International Synergy (2023) Vol. 6, pp. 100300-100300
Open Access | Times Cited: 13
Early identification and enhanced assessment of learning disabilities: A review
Mridula TV, M. Manivannan, Stuart Albert
Applied Neuropsychology Child (2025), pp. 1-24
Closed Access
Detection of Dysgraphia Through Convolution Neural Networks
Kavya Sharma, Ritesh Rajpurohit, Smriti Das, et al.
Lecture notes in electrical engineering (2025), pp. 301-313
Closed Access
Building Comprehensive Web Framework Addressing Learning Disability Using Machine Learning and Computer Vision
P. S. Patil, Mihir Shrivas, Tanishq Sahane, et al.
Lecture notes in networks and systems (2025), pp. 261-271
Closed Access
Screening of Dysgraphia in Children Through Analysis of Handwriting Images Using Deep Learning
Ch. Mandakini, N. Kalyani, Nabila Putri Kusuma, et al.
Cognitive science and technology (2025), pp. 307-316
Closed Access
A Bayesian network combiner for multimodal handwriting analysis in Alzheimer’s disease detection
Emanuele Nardone, Tiziana D’Alessandro, Claudio De Stefano, et al.
Pattern Recognition Letters (2025)
Closed Access
AI-Enhanced Child Handwriting Analysis: A Framework for the Early Screening of Dyslexia and Dysgraphia
Sahana Rangasrinivasan, M. Sumi, Abbie Olszewski, et al.
SN Computer Science (2025) Vol. 6, Iss. 5
Open Access
Effects of transcranial electrical stimulation on academic and cognitive skills in individuals with specific learning disabilities: A systematic review
Elahe Fathi Azar, Hooshang Mirzaie, Sahar Oftadeh Balani, et al.
Neuroscience (2025)
Closed Access
Estimate of Anemia with New Non-Invasive Systems—A Moment of Reflection
Giovanni Dimauro, Serena De Ruvo, Federica Terlizzi, et al.
Electronics (2020) Vol. 9, Iss. 5, pp. 780-780
Open Access | Times Cited: 25
Analysis of Graphomotor Tests with Machine Learning Algorithms for an Early and Universal Pre-Diagnosis of Dysgraphia
Louis Devillaine, Raphaël Lambert, J. Boutet, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7026-7026
Open Access | Times Cited: 19
Feature Selection as a Tool to Support the Diagnosis of Cognitive Impairments Through Handwriting Analysis
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, et al.
IEEE Access (2021) Vol. 9, pp. 78226-78240
Open Access | Times Cited: 18
Dysgraphia Detection Using Machine Learning-Based Techniques: A Survey
Basant Agarwal, Sonal Jain, Priyal Bansal, et al.
Lecture notes in networks and systems (2023), pp. 315-328
Closed Access | Times Cited: 6
Development of a Pre-Diagnosis Tool Based on Machine Learning Algorithms on the BHK Test to Improve the Diagnosis of Dysgraphia
Louis Deschamps, Louis Devillaine, Clement Gaffet, et al.
Advances in Artificial Intelligence and Machine Learning (2021) Vol. 01, Iss. 02, pp. 111-130
Open Access | Times Cited: 13
Handwriting Evaluation Using Deep Learning with SensoGrip
Mugdim Bublin, Franz Werner, Andrea Kerschbaumer, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5215-5215
Open Access | Times Cited: 5
Tools and Methods for Diagnosing Developmental Dysgraphia in the Digital Age: A State of the Art
Jérémy Danna, Frédéric Puyjarinet, Caroline Jolly
Children (2023) Vol. 10, Iss. 12, pp. 1925-1925
Open Access | Times Cited: 5
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