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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:

Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson’s Disease patients
Robbin Romijnders, Elke Warmerdam, Clint Hansen, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
Sen Qiu, Hongkai Zhao, Nan Jiang, et al.
Information Fusion (2021) Vol. 80, pp. 241-265
Closed Access | Times Cited: 448
Using text mining to establish knowledge graph from accident/incident reports in risk assessment
Chang Liu, Shiwu Yang
Expert Systems with Applications (2022) Vol. 207, pp. 117991-117991
Closed Access | Times Cited: 65
A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts
Robbin Romijnders, Elke Warmerdam, Clint Hansen, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3859-3859
Open Access | Times Cited: 42
A multi-sensor wearable system for the assessment of diseased gait in real-world conditions
Francesca Salis, Stefano Bertuletti, Tecla Bonci, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 31
Freezing of gait assessment with inertial measurement units and deep learning: effect of tasks, medication states, and stops
Po-Kai Yang, Benjamin Filtjens, Pieter Ginis, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 13
Gait and Balance Assessments using Smartphone Applications in Parkinson’s Disease: A Systematic Review
Libak Abou, Joseph Peters, Ellyce Wong, et al.
Journal of Medical Systems (2021) Vol. 45, Iss. 9
Open Access | Times Cited: 49
Wearable IMU-Based Human Activity Recognition Algorithm for Clinical Balance Assessment Using 1D-CNN and GRU Ensemble Model
Yeon-Wook Kim, Joa Kyunglim, Han-young Jeong, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7628-7628
Open Access | Times Cited: 42
Dynamic Stability, Symmetry, and Smoothness of Gait in People with Neurological Health Conditions
Marco Tramontano, Amaranta Soledad Orejel Bustos, R. Montemurro, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2451-2451
Open Access | Times Cited: 6
Wearable Sensor Clothing for Body Movement Measurement during Physical Activities in Healthcare
Armands Ancāns, Modris Greitāns, Ričards Cacurs, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2068-2068
Open Access | Times Cited: 34
Novel automated PD detection system using aspirin pattern with EEG signals
Prabal Datta Barua, Şengül Doğan, Türker Tuncer, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104841-104841
Closed Access | Times Cited: 34
A text mining-based approach for understanding Chinese railway incidents caused by electromagnetic interference
Chang Liu, Shiwu Yang
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105598-105598
Closed Access | Times Cited: 25
Concurrent validity of Zeno instrumented walkway and video-based gait features in adults with Parkinson’s disease
Andrea Sabo, Carolina Gorodetsky, Alfonso Fasano, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2022) Vol. 10, pp. 1-11
Open Access | Times Cited: 23
Evaluating Gait Impairment in Parkinson’s Disease from Instrumented Insole and IMU Sensor Data
Vassilios Tsakanikas, Adamantios Ntanis, George Rigas, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3902-3902
Open Access | Times Cited: 16
Automatic gait events detection with inertial measurement units: healthy subjects and moderate to severe impaired patients
Cyril Voisard, Nicolas de l’Escalopier, Damien Ricard, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 5
DUO-GAIT: A gait dataset for walking under dual-task and fatigue conditions with inertial measurement units
Lin Zhou, Eric W. Fischer, Clemens Markus Brahms, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 11
Simplification of Mobility Tests and Data Processing to Increase Applicability of Wearable Sensors as Diagnostic Tools for Parkinson’s Disease
Rana M. Khalil, Lisa Shulman, Ann L. Gruber‐Baldini, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4983-4983
Open Access | Times Cited: 4
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
Wearable sensors for gait, balance, and mobility
Conor Wall, Peter McMeekin, Richard Walker, et al.
Elsevier eBooks (2025), pp. 241-276
Closed Access
Gait temporal parameters estimation in toddlers using inertial measurement units: a comparison of 15 algorithms
Francesca d'Andrea, Ben Heller, Jonathan Wheat, et al.
Gait & Posture (2025)
Open Access
Automatic gait EVENT detection in older adults during perturbed walking
Shuaijie Wang, Kazi Shahrukh Omar, Fábio Miranda, et al.
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access
Influence of Sampling Rate on Wearable IMU Orientation Estimation Accuracy for Human Movement Analysis
Bingfei Fan, Luobin Zhang, Shibo Cai, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 1976-1976
Open Access
Validation of a Spatiotemporal Gait Model Using Inertial Measurement Units for Early-Stage Parkinson’s Disease Detection During Turns
Yifan Yang, Lei Chen, Jun Pang, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 69, Iss. 12, pp. 3591-3600
Closed Access | Times Cited: 18
Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases
Robbin Romijnders, Francesca Salis, Clint Hansen, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 9
A Novel Embedded Deep Learning Wearable Sensor for Fall Detection
Sara Campanella, Alaa Alnasef, Laura Falaschetti, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 15219-15229
Open Access | Times Cited: 3
Algorithm for Gait Parameters Estimation Based on Heel-Mounted Inertial Sensors
Baiqing Luo, Z Y Wang, Dongmei Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 24723-24736
Closed Access | Times Cited: 3
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