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:

Wearable Sensors System for an Improved Analysis of Freezing of Gait in Parkinson’s Disease Using Electromyography and Inertial Signals
Ivan Mazzetta, Alessandro Zampogna, Antonio Suppa, et al.
Sensors (2019) Vol. 19, Iss. 4, pp. 948-948
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Microfluidic Point-of-Care Devices: New Trends and Future Prospects for eHealth Diagnostics
J. R. Mejía-Salazar, Kamilla Rodrigues Cruz, Elsa María Materón Vásques, et al.
Sensors (2020) Vol. 20, Iss. 7, pp. 1951-1951
Open Access | Times Cited: 165

Wearable-Sensor-Based Detection and Prediction of Freezing of Gait in Parkinson’s Disease: A Review
Scott Pardoel, Jonathan Kofman, Julie Nantel, et al.
Sensors (2019) Vol. 19, Iss. 23, pp. 5141-5141
Open Access | Times Cited: 158

Parkinson’s Disease Management via Wearable Sensors: A Systematic Review
Huma Mughal, Abdul Rehman Javed, Muhammad Rizwan, et al.
IEEE Access (2022) Vol. 10, pp. 35219-35237
Open Access | Times Cited: 75

Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis
Steven Díaz, J. Stephenson, Miguel A. Labrador
Applied Sciences (2019) Vol. 10, Iss. 1, pp. 234-234
Open Access | Times Cited: 103

Prediction of Freezing of Gait in Parkinson’s Disease Using Wearables and Machine Learning
Luigi Borzì, Ivan Mazzetta, Alessandro Zampogna, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 614-614
Open Access | Times Cited: 94

Conformal, Ultra‐thin Skin‐Contact‐Actuated Hybrid Piezo/Triboelectric Wearable Sensor Based on AlN and Parylene‐Encapsulated Elastomeric Blend
Massimo Mariello, Luca Fachechi, Francesco Guido, et al.
Advanced Functional Materials (2021) Vol. 31, Iss. 27
Closed Access | Times Cited: 91

Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders
Alessandro Zampogna, Ilaria Mileti, Eduardo Palermo, et al.
Sensors (2020) Vol. 20, Iss. 11, pp. 3247-3247
Open Access | Times Cited: 90

A hybrid deep transfer learning-based approach for Parkinson's disease classification in surface electromyography signals
Khosro Rezaee, Somayeh Savarkar, Xiaofeng Yu, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103161-103161
Closed Access | Times Cited: 55

Remote Healthcare for Elderly People Using Wearables: A Review
José Oscar Olmedo-Aguirre, Josimar Reyes-Campos, Giner Alor‐Hernández, et al.
Biosensors (2022) Vol. 12, Iss. 2, pp. 73-73
Open Access | Times Cited: 45

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

Human Gait Activity Recognition Machine Learning Methods
Jan Slemenšek, Iztok Fister, Jelka Geršak, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 745-745
Open Access | Times Cited: 27

Application of Wearable Sensors in Parkinson’s Disease: State of the Art
Anastasia Bougea
Journal of Sensor and Actuator Networks (2025) Vol. 14, Iss. 2, pp. 23-23
Open Access | Times Cited: 1

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

Unveiling the Unpredictable in Parkinson’s Disease: Sensor-Based Monitoring of Dyskinesias and Freezing of Gait in Daily Life
Alessandro Zampogna, Luigi Borzì, Domiziana Rinaldi, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 440-440
Open Access | Times Cited: 7

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

Using Wearable Sensors and Machine Learning to Automatically Detect Freezing of Gait during a FOG-Provoking Test
Tal Reches, Moria Dagan, Talia Herman, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4474-4474
Open Access | Times Cited: 49

Wearable Sensors for Vital Signs Measurement: A Survey
Zhihan Lv, Yuxi Li
Journal of Sensor and Actuator Networks (2022) Vol. 11, Iss. 1, pp. 19-19
Open Access | Times Cited: 25

A Multi-Modal Analysis of the Freezing of Gait Phenomenon in Parkinson’s Disease
Luca Mesin, Paola Porcu, Debora Russu, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2613-2613
Open Access | Times Cited: 22

The advantages of artificial intelligence-based gait assessment in detecting, predicting, and managing Parkinson’s disease
Peng Wu, Biwei Cao, Zhendong Liang, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 15

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

A Multimodal Model-Fusion Approach for Improved Prediction of Freezing of Gait in Parkinson’s Disease
Rishabh Bajpai, Suyash Khare, Deepak Joshi
IEEE Sensors Journal (2023) Vol. 23, Iss. 14, pp. 16168-16175
Open Access | Times Cited: 13

Muscle Synergies in Parkinson’s Disease
Ilaria Mileti, Alessandro Zampogna, Alessandro Santuz, et al.
Sensors (2020) Vol. 20, Iss. 11, pp. 3209-3209
Open Access | Times Cited: 32

Predicting Axial Impairment in Parkinson’s Disease through a Single Inertial Sensor
Luigi Borzì, Ivan Mazzetta, Alessandro Zampogna, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 412-412
Open Access | Times Cited: 21

High-accuracy wearable detection of freezing of gait in Parkinson's disease based on pseudo-multimodal features
Yuzhu Guo, Debin Huang, Wei Zhang, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105629-105629
Closed Access | Times Cited: 19

Treatment options for postural instability and gait difficulties in Parkinson’s disease
Martijn L.T.M. Müller, Uroš Marušič, M. van Emde Boas, et al.
Expert Review of Neurotherapeutics (2019) Vol. 19, Iss. 12, pp. 1229-1251
Closed Access | Times Cited: 30

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