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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:

Increasing Robustness in the Detection of Freezing of Gait in Parkinson’s Disease
Rubén San-Segundo, Honorio Navarro-Hellín, Roque Torres-Sánchez, et al.
Electronics (2019) Vol. 8, Iss. 2, pp. 119-119
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Classification of epileptic EEG recordings using signal transforms and convolutional neural networks
Rubén San-Segundo, Manuel Gil-Martín, Luis Fernando D’Haro, et al.
Computers in Biology and Medicine (2019) Vol. 109, pp. 148-158
Open Access | Times Cited: 152
Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review
Luis Sigcha, Luigi Borzì, Federica Amato, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120541-120541
Open Access | Times Cited: 53
Parkinson’s Disease Detection from Drawing Movements Using Convolutional Neural Networks
Manuel Gil-Martín, Juan Manuel Montero, Rubén San-Segundo
Electronics (2019) Vol. 8, Iss. 8, pp. 907-907
Open Access | Times Cited: 109
Deep Learning Approaches for Detecting Freezing of Gait in Parkinson’s Disease Patients through On-Body Acceleration Sensors
Luis Sigcha, Nélson Costa, Ignacio Pavón García, et al.
Sensors (2020) Vol. 20, Iss. 7, pp. 1895-1895
Open Access | Times Cited: 93
A Decision Support System for Irrigation Management: Analysis and Implementation of Different Learning Techniques
Roque Torres-Sánchez, Honorio Navarro-Hellín, Antonio Guillamón, et al.
Water (2020) Vol. 12, Iss. 2, pp. 548-548
Open Access | Times Cited: 72
Assessing inertial measurement unit locations for freezing of gait detection and patient preference
Johanna O’Day, Marissa Lee, Kirsten Seagers, et al.
Journal of NeuroEngineering and Rehabilitation (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 48
Detection and assessment of Parkinson's disease based on gait analysis: A survey
Yao Guo, Jianxin Yang, Yuxuan Liu, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 38
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: 8
Improved Deep Learning Technique to Detect Freezing of Gait in Parkinson’s Disease Based on Wearable Sensors
Bochen Li, Zhiming Yao, Jianguo Wang, et al.
Electronics (2020) Vol. 9, Iss. 11, pp. 1919-1919
Open Access | Times Cited: 58
A Clinically Interpretable Computer-Vision Based Method for Quantifying Gait in Parkinson’s Disease
Samuel Rupprechter, Gareth Morinan, Yuwei Peng, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5437-5437
Open Access | Times Cited: 53
Improving physical activity recognition using a new deep learning architecture and post-processing techniques
Manuel Gil-Martín, Rubén San-Segundo, Fernando Fernández-Martínez, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 92, pp. 103679-103679
Open Access | Times Cited: 50
Recent trends in wearable device used to detect freezing of gait and falls in people with Parkinson’s disease: A systematic review
Tinghuai Huang, Meng Li, Jian‐Wei Huang
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 20
Arduino based Machine Learning and IoT Smart Irrigation System
Prakash Kanade, Jai Prakash Prasad
International Journal of Soft Computing and Engineering (2021) Vol. 10, Iss. 4, pp. 1-5
Open Access | Times Cited: 35
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
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
Detection and prediction of freezing of gait with wearable sensors in Parkinson’s disease
Wei Zhang, Hong Sun, Debin Huang, et al.
Neurological Sciences (2023) Vol. 45, Iss. 2, pp. 431-453
Closed Access | Times Cited: 14
Insights into Parkinson’s Disease-Related Freezing of Gait Detection and Prediction Approaches: A Meta Analysis
Hagar Elbatanouny, Natasa Kleanthous, Hayssam Dahrouj, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3959-3959
Open Access | Times Cited: 5
Editorial: Contribution of artificial intelligence-based tools to the study of Parkinson's disease and other movement disorders
Matilde Otero‐Losada, Santiago Perez‐Lloret, Francisco Capani, et al.
Frontiers in Aging Neuroscience (2025) Vol. 17
Open 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
Potential of UAS-Based Remote Sensing for Estimating Tree Water Status and Yield in Sweet Cherry Trees
Víctor Blanco, Pedro José Blaya-Ros, Cristina Castillo, et al.
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2359-2359
Open Access | Times Cited: 34
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
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: 4
Recognition of freezing of gait in Parkinson’s disease based on combined wearable sensors
Kang Ren, Zhonglue Chen, Yun Ling, et al.
BMC Neurology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 17
Detection of freezing of gait in Parkinson's disease from foot-pressure sensing insoles using a temporal convolutional neural network
Jae Min Park, Chang-Won Moon, Byung Chan Lee, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access | Times Cited: 3
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