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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:

Dynamic Handwriting Analysis for Neurodegenerative Disease Assessment: A Literary Review
Gennaro Vessio
Applied Sciences (2019) Vol. 9, Iss. 21, pp. 4666-4666
Open Access | Times Cited: 76

Showing 26-50 of 76 citing articles:

Deducing health cues from biometric data
Arun Ross, Sudipta Banerjee, Anurag Chowdhury
Computer Vision and Image Understanding (2022) Vol. 221, pp. 103438-103438
Open Access | Times Cited: 12
Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction
Gabriella Casalino, Giovanna Castellano, Francesco Galetta, et al.
Lecture notes in computer science (2020), pp. 79-93
Closed Access | Times Cited: 16
An easy-to-explain decision support framework for forensic analysis of dynamic signatures
Daniela Mazzolini, Paolo Mignone, Patrizia Pavan, et al.
Forensic Science International Digital Investigation (2021) Vol. 38, pp. 301216-301216
Closed Access | Times Cited: 14
A feature fusion sequence learning approach for quantitative analysis of tremor symptoms based on digital handwriting
Chenbin Ma, Peng Zhang, Longsheng Pan, et al.
Expert Systems with Applications (2022) Vol. 203, pp. 117400-117400
Closed Access | Times Cited: 9
Handwriting Changes in Alzheimer’s Disease: A Systematic Review
C. Fernandes, Gemma Montalvo, Michael P. Caligiuri, et al.
Journal of Alzheimer s Disease (2023) Vol. 96, Iss. 1, pp. 1-11
Closed Access | Times Cited: 5
Exploiting Spectral and Cepstral Handwriting Features on Diagnosing Parkinson’s Disease
Juan A. Nolazco‐Flores, Marcos Faúndez-Zanuy, Víctor Manuel de la Cueva, et al.
IEEE Access (2021) Vol. 9, pp. 141599-141610
Open Access | Times Cited: 12
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset
Zoltán Galáž, Peter Drotár, Jiří Mekyska, et al.
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 8
Generative Adversarial Networks as a Data Augmentation Tool for CNN-Based Parkinson's Disease Diagnostics
Erik Dzotsenidze, Elli Valla, Sven Nõmm, et al.
IFAC-PapersOnLine (2022) Vol. 55, Iss. 29, pp. 108-113
Open Access | Times Cited: 8
How word semantics and phonology affect handwriting of Alzheimer’s patients: A machine learning based analysis
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107891-107891
Open Access | Times Cited: 4
Predicting Alzheimer’s Disease and Mild Cognitive Impairment with Off-line and On-line House Drawing Tests
Nina Hosseini-Kivanani, Elena Salobrar‐García, Lorena Elvira‐Hurtado, et al.
(2024), pp. 1-10
Closed Access | Times Cited: 1
Management at the Edge of Situation Awareness During Patient Telemonitoring
Carmelo Ardito, Tommaso Di Noia, Corrado Fasciano, et al.
Lecture notes in computer science (2021), pp. 372-387
Closed Access | Times Cited: 10
Evolving and explainable clinical risk assessment at the edge
Andrea Pazienza, R. Anglani, Corrado Fasciano, et al.
Evolving Systems (2022) Vol. 13, Iss. 3, pp. 403-422
Closed Access | Times Cited: 7
A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease
Gabriella Casalino, Riccardo Grassi, Marco Iannotta, et al.
(2020), pp. 1-7
Closed Access | Times Cited: 10
Investigating One-Class Classifiers to Diagnose Alzheimer’s Disease from Handwriting
Antonio Parziale, Antonio Della Cioppa, Angelo Marcelli
Lecture notes in computer science (2022), pp. 111-123
Closed Access | Times Cited: 6
Analysis of Fine Motor Skills in Essential Tremor: Combining Neuroimaging and Handwriting Biomarkers for Early Management
Karmele López de Ipiña, Jordi Solé‐Casals, José Ignacio Sánchez-Méndez, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 8
A Machine Learning Approach to Analyze the Effects of Alzheimer’s Disease on Handwriting Through Lognormal Features
Tiziana D’Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, et al.
Lecture notes in computer science (2023), pp. 103-121
Closed Access | Times Cited: 3
CNN Based Analysis of the Luria’s Alternating Series Test for Parkinson’s Disease Diagnostics
Sergei Zarembo, Sven Nõmm, Kadri Medijainen, et al.
Communications in computer and information science (2021), pp. 3-13
Closed Access | Times Cited: 7
Direct mass spectrometric imaging of document handwriting with laser desorption ionization and post ultraviolet photodissociation
Shanshan Jia, Xin Zhou, Xuewen Hu, et al.
Analytica Chimica Acta (2023) Vol. 1265, pp. 341267-341267
Closed Access | Times Cited: 2
Patients’ Self-Report and Handwriting Performance Features as Indicators for Suspected Mild Cognitive Impairment in Parkinson’s Disease
Sara Rosenblum, Sonya Meyer, Ariella Richardson, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 569-569
Open Access | Times Cited: 4
Negative Selection Algorithm for Alzheimer’s Diagnosis: Design and Performance Evaluation
Giuseppe De Gregorio, Antonio Della Cioppa, Angelo Marcelli
Lecture notes in computer science (2022), pp. 531-546
Closed Access | Times Cited: 4
Automated Analysis of Drawing Process for Detecting Prodromal and Clinical Dementia
Yasunori Yamada, Masatomo Kobayashi, Kaoru Shinkawa, et al.
(2022)
Open Access | Times Cited: 4
Distinctive Handwriting Signs in Early Parkinson’s Disease
Rosa Senatore, Angelo Marcelli, Rosa De Micco, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12338-12338
Open Access | Times Cited: 4
Parkinson’s Disease Diagnostics Based on the Analysis of Digital Sentence Writing Test
Aleksei Netšunajev, Sven Nõmm, Aaro Toomela, et al.
Vietnam Journal of Computer Science (2021) Vol. 08, Iss. 04, pp. 493-512
Open Access | Times Cited: 5
On Extracting Digitized Spiral Dynamics’ Representations: A Study on Transfer Learning for Early Alzheimer’s Detection
Daniela Carfora, Suyeon Kim, Nesma Houmani, et al.
Bioengineering (2022) Vol. 9, Iss. 8, pp. 375-375
Open Access | Times Cited: 3
Offline handwriting image analysis to predict Alzheimer’s disease via deep learning
Nicole Dalia Cilia, Tiziana D’Alessandro, Claudio De Stefano, et al.
2022 26th International Conference on Pattern Recognition (ICPR) (2022) Vol. 12104, pp. 2807-2813
Closed Access | Times Cited: 3

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