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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:

Improvement of Performance in Freezing of Gait detection in Parkinson’s Disease using Transformer networks and a single waist-worn triaxial accelerometer
Luis Sigcha, Luigi Borzì, Ignacio Pavón García, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105482-105482
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Intelligent Wearable Systems: Opportunities and Challenges in Health and Sports
Luyao Yang, Osama Amin, Basem Shihada
ACM Computing Surveys (2024) Vol. 56, Iss. 7, pp. 1-42
Closed Access | Times Cited: 19
Real-time detection of freezing of gait in Parkinson’s disease using multi-head convolutional neural networks and a single inertial sensor
Luigi Borzì, Luis Sigcha, Daniel Rodríguez-Martín, et al.
Artificial Intelligence in Medicine (2022) Vol. 135, pp. 102459-102459
Closed Access | Times Cited: 37
A machine learning contest enhances automated freezing of gait detection and reveals time-of-day effects
Amit Salomon, Eran Gazit, Pieter Ginis, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Hybrid Convtranslstm for Spatio-Temporal Classification: Identifying Early Parkinson's Disease from Gait Patterns
Muhammad Izzuddin Mahali, Cries Avian, Nur Achmad Sulistyo Putro, et al.
(2025)
Closed Access
Freezing of gait detection: The effect of sensor type, position, activities, datasets, and machine learning model
Luigi Borzì, Florenc Demrozi, Ruggero Bacchin, et al.
Journal of Parkinson s Disease (2025)
Open Access
Digital Biomarkers for Parkinson's Disease: A Bibliometric Analysis and a Scoping Review of Deep Learning for Freezing of Gait (Preprint)
Wenhao Qi, S. Shen, Chaoqun Dong, et al.
Journal of Medical Internet Research (2025)
Open Access
Context Recognition Algorithms for Energy-Efficient Freezing-of-Gait Detection in Parkinson’s Disease
Luigi Borzì, Luis Sigcha, Gabriella Olmo
Sensors (2023) Vol. 23, Iss. 9, pp. 4426-4426
Open Access | Times Cited: 11
Objective measurement versus clinician-based assessment for Parkinson’s disease
Andrea Guerra, Valentina D’Onofrio, Florinda Ferreri, et al.
Expert Review of Neurotherapeutics (2023) Vol. 23, Iss. 8, pp. 689-702
Closed Access | Times Cited: 11
Deep learning algorithms for detecting freezing of gait in Parkinson’s disease: A cross-dataset study
Luis Sigcha, Luigi Borzì, Gabriella Olmo
Expert Systems with Applications (2024) Vol. 255, pp. 124522-124522
Open Access | Times Cited: 3
Bradykinesia Detection in Parkinson’s Disease Using Smartwatches’ Inertial Sensors and Deep Learning Methods
Luis Sigcha, Beatriz Domínguez, Luigi Borzì, et al.
Electronics (2022) Vol. 11, Iss. 23, pp. 3879-3879
Open Access | Times Cited: 15
B-HAR: an open-source baseline framework for in-depth study of human activity recognition datasets and workflows
Cristian Turetta, Florenc Demrozi, Graziano Pravadelli
IEEE Access (2024) Vol. 12, pp. 166911-166922
Open Access | Times Cited: 2
Machine learning-powered lead-free piezoelectric nanoparticle-based deep brain stimulation: A paradigm shift in Parkinson’s disease diagnosis and evaluation
Marwa M. Eid, C. Seelammal, Sekar Kidambi Raju, et al.
AIP Advances (2024) Vol. 14, Iss. 3
Open Access | Times Cited: 2
Deep learning-based detection of affected body parts in Parkinson’s disease and freezing of gait using time-series imaging
Hwayoung Park, Sungtae Shin, Changhong Youm, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Prediction of freezing of gait based on self-supervised pretraining via contrastive learning
Yi Xia, Hua Sun, Baifu Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105765-105765
Closed Access | Times Cited: 6
A novel variational mode decomposition based convolutional neural network for the identification of freezing of gait intervals for patients with Parkinson's disease
Mohamed Shaban
Machine Learning with Applications (2024) Vol. 16, pp. 100553-100553
Open Access | Times Cited: 1
Artificial Neural Network-Based Abnormal Gait Pattern Classification Using Smart Shoes with a Gyro Sensor
Kimin Jeong, Kyung-Chang Lee
Electronics (2022) Vol. 11, Iss. 21, pp. 3614-3614
Open Access | Times Cited: 5
Improving Freezing of Gait Detection and Prediction Using ML and Transformers
Mohanapriya Singaravelu, Gael S. Mubibya, Jalal Almhana
ICC 2022 - IEEE International Conference on Communications (2023), pp. 2804-2809
Closed Access | Times Cited: 2
Evaluating Motor Symptoms in Parkinson’s Disease Through Wearable Sensors: A Systematic Review of Digital Biomarkers
Carlos Polvorinos-Fernández, Luis Sigcha, Luigi Borzì, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10189-10189
Open Access
FSGait: Fine-Grained Self-supervised Gait Abnormality Detection
B.F. Duan, Xiaoyue Wan, Xu Zhao
Lecture notes in computer science (2024), pp. 313-329
Closed Access
The Use of Artificial Intelligence and Wearable IMUs in Medicine: A Systematic Review (Preprint)
Ricardo Smits Serena, Florian Hinterwimmer, Rainer Burgkart, et al.
(2024)
Open Access
A Double-Hurdle Quantification Model for Freezing of Gait of Parkinson's Patients
Ningcun Xu, Chen Wang, Liang Peng, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 10, pp. 2936-2947
Closed Access
The Use of Artificial Intelligence and Wearable IMUs in Medicine: A Systematic Review (Preprint)
Ricardo Smits Serena, Florian Hinterwimmer, Rainer Burgkart, et al.
JMIR mhealth and uhealth (2024)
Open Access
Analysis of Different Modality of Data to Diagnose Parkinson's Disease Using Machine Learning and Deep Learning Approaches: A Review
Sheikh Bahauddin Arnab, Md Istakiak Adnan Palash, Rakibul Islam, et al.
Expert Systems (2024)
Open Access
Real-Time Freezing of Gait Prediction and Detection in Parkinson’s Disease
Scott Pardoel, Ayham AlAkhras, Ensieh Jafari, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 8211-8211
Open Access
Functional Brain Networks to Evaluate Treatment Responses in Parkinson's Disease
J. Barbero, Prashin Unadkat, Yoon Young Choi, et al.
Neurotherapeutics (2023) Vol. 20, Iss. 6, pp. 1653-1668
Open Access | Times Cited: 1
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