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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:

Towards understanding spatio-temporal parkinsonian patterns from salient regions of a 3D convolutional network
Luis Guayacán, Edgar Rangel, Fabio Martínez
(2020)
Closed Access | Times Cited: 12

Showing 12 citing articles:

Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review
Κωνσταντίνα-Μαρία Γιαννακοπούλου, Ioanna Roussaki, Konstantinos Demestichas
Sensors (2022) Vol. 22, Iss. 5, pp. 1799-1799
Open Access | Times Cited: 69
Multi-Modal Deep Learning Diagnosis of Parkinson’s Disease—A Systematic Review
Vasileios Skaramagkas, Anastasia Pentari, Zinovia Kefalopoulou, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2399-2423
Open Access | Times Cited: 31
Recent use of deep learning techniques in clinical applications based on gait: a survey
Yume Matsushita, Dinh Tuan Tran, Hirotake Yamazoe, et al.
Journal of Computational Design and Engineering (2021) Vol. 8, Iss. 6, pp. 1499-1532
Open Access | Times Cited: 33
A Geometric Attention Mechanism to Classify Parkinsonism Smooth Pursuit Patterns
L. Elisa Celis, Juan Olmos, Fabio Martínez
Lecture notes in computer science (2025), pp. 99-109
Closed Access
Visualising and quantifying relevant parkinsonian gait patterns using 3D convolutional network
Luis Guayacán, Fabio Martínez
Journal of Biomedical Informatics (2021) Vol. 123, pp. 103935-103935
Open Access | Times Cited: 18
Response of the Northwest Indian Ocean purpleback flying squid (Sthenoteuthis oualaniensis) fishing grounds to marine environmental changes and its prediction model construction based on multi-models and multi-spatial and temporal scales
Haibin Han, Bohui Jiang, Yongchuang Shi, et al.
Ecological Indicators (2023) Vol. 154, pp. 110809-110809
Open Access | Times Cited: 4
Parkinsonian gait patterns quantification from principal geodesic analysis
Santiago Niño, Juan Olmos, Juan Galvis, et al.
Pattern Analysis and Applications (2022) Vol. 26, Iss. 2, pp. 679-689
Closed Access | Times Cited: 3
A Graded Assessment System for Parkinson’s Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model
Lina Tong, Daisong Liu, Liang Peng, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 23, pp. 29283-29292
Closed Access | Times Cited: 1
An Oculomotor Digital Parkinson Biomarker from a Deep Riemannian Representation
Juan Olmos, Antoine Manzanera, Fabio Martínez
Lecture notes in computer science (2022), pp. 677-687
Closed Access | Times Cited: 1
Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson’s Disease Diagnosis
Juan Olmos, Juan Galvis, Fabio Martínez
Lecture notes in computer science (2022), pp. 3-14
Closed Access | Times Cited: 1
A Parkinsonian Digital Biomarker Learned as an Anomaly Deep Generative Representation
Edgar Rangel, Fabio Martínez
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 4188-4191
Closed Access
A Riemannian Deep Learning Representation to Describe Gait Parkinsonian Locomotor Patterns
Juan Olmos, Fabio Martínez
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 3538-3541
Closed Access
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