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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:

Estimation of step-by-step spatio-temporal parameters of normal and impaired gait using shank-mounted magneto-inertial sensors: application to elderly, hemiparetic, parkinsonian and choreic gait
Diana Trojaniello, Andrea Cereatti, Elisa Pelosin, et al.
Journal of NeuroEngineering and Rehabilitation (2014) Vol. 11, Iss. 1, pp. 152-152
Open Access | Times Cited: 222

Showing 1-25 of 222 citing articles:

Free-living monitoring of Parkinson's disease: Lessons from the field
Silvia Del Din, Alan Godfrey, Claudia Mazzà, et al.
Movement Disorders (2016) Vol. 31, Iss. 9, pp. 1293-1313
Open Access | Times Cited: 294
Wearable inertial sensors for human movement analysis
Marco Iosa, P. Di Pietro, Stefano Paolucci, et al.
Expert Review of Medical Devices (2016) Vol. 13, Iss. 7, pp. 641-659
Closed Access | Times Cited: 242
A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington’s Disease Patients
Andrea Mannini, Diana Trojaniello, Andrea Cereatti, et al.
Sensors (2016) Vol. 16, Iss. 1, pp. 134-134
Open Access | Times Cited: 228
Validity and reliability of wearable inertial sensors in healthy adult walking: a systematic review and meta-analysis
Dylan Kobsar, Jesse M. Charlton, Calvin T.F. Tse, et al.
Journal of NeuroEngineering and Rehabilitation (2020) Vol. 17, Iss. 1
Open Access | Times Cited: 202
25 years of lower limb joint kinematics by using inertial and magnetic sensors: A review of methodological approaches
P. Di Pietro
Gait & Posture (2016) Vol. 51, pp. 239-246
Closed Access | Times Cited: 196
Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks
Julius Hannink, Thomas Kautz, Cristian Pasluosta, et al.
IEEE Journal of Biomedical and Health Informatics (2016) Vol. 21, Iss. 1, pp. 85-93
Open Access | Times Cited: 170
Analysis of the performance of 17 algorithms from a systematic review: Influence of sensor position, analysed variable and computational approach in gait timing estimation from IMU measurements
Giulia Pacini Panebianco, Maria Cristina Bisi, Rita Stagni, et al.
Gait & Posture (2018) Vol. 66, pp. 76-82
Closed Access | Times Cited: 160
Gait parameters of Parkinson’s disease compared with healthy controls: a systematic review and meta-analysis
Ana Paula Janner Zanardi, Edson Soares da Silva, Rochelle Rocha Costa, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 147
Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
M. Encarna Micó-Amigo, Tecla Bonci, Anisoara Paraschiv-Ionescu, et al.
Journal of NeuroEngineering and Rehabilitation (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 52
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device
Cameron Kirk, Arne Küderle, M. Encarna Micó-Amigo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Gait event detection in laboratory and real life settings: Accuracy of ankle and waist sensor based methods
Fabio Alexander Storm, Christopher Buckley, Claudia Mazzà
Gait & Posture (2016) Vol. 50, pp. 42-46
Open Access | Times Cited: 155
Mobile Stride Length Estimation With Deep Convolutional Neural Networks
Julius Hannink, Thomas Kautz, Cristian Pasluosta, et al.
IEEE Journal of Biomedical and Health Informatics (2017) Vol. 22, Iss. 2, pp. 354-362
Open Access | Times Cited: 128
Comparative assessment of different methods for the estimation of gait temporal parameters using a single inertial sensor: application to elderly, post-stroke, Parkinson's disease and Huntington's disease subjects
Diana Trojaniello, Andrea Ravaschio, Jeffrey M. Hausdorff, et al.
Gait & Posture (2015) Vol. 42, Iss. 3, pp. 310-316
Closed Access | Times Cited: 126
Gait analysis in neurological populations: Progression in the use of wearables
Yunus Çelik, Samuel Stuart, Wai Lok Woo, et al.
Medical Engineering & Physics (2020) Vol. 87, pp. 9-29
Open Access | Times Cited: 124
Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
Wolfgang Teufl, Michael Lorenz, Markus Miezal, et al.
Sensors (2018) Vol. 19, Iss. 1, pp. 38-38
Open Access | Times Cited: 109
A Wearable Inertial Measurement System With Complementary Filter for Gait Analysis of Patients With Stroke or Parkinson’s Disease
Hsing-Cheng Chang, Yu‐Liang Hsu, Shih-Chin Yang, et al.
IEEE Access (2016) Vol. 4, pp. 8442-8453
Open Access | Times Cited: 104
A Roadmap to Inform Development, Validation and Approval of Digital Mobility Outcomes: The Mobilise-D Approach
Lynn Rochester, Claudia Mazzà, Arne Mueller, et al.
Digital Biomarkers (2020) Vol. 4, Iss. Suppl. 1, pp. 13-27
Open Access | Times Cited: 103
Free-living and laboratory gait characteristics in patients with multiple sclerosis
Fabio Alexander Storm, Krishnan Padmakumari Sivaraman Nair, Alison J. Clarke, et al.
PLoS ONE (2018) Vol. 13, Iss. 5, pp. e0196463-e0196463
Open Access | Times Cited: 96
Wearables for independent living in older adults: Gait and falls
Alan Godfrey
Maturitas (2017) Vol. 100, pp. 16-26
Open Access | Times Cited: 95
Sardinian Folk Dance for Individuals with Parkinson's Disease: A Randomized Controlled Pilot Trial
Paolo Solla, Lucia Cugusi, M. Bertoli, et al.
The Journal of Alternative and Complementary Medicine (2019) Vol. 25, Iss. 3, pp. 305-316
Closed Access | Times Cited: 92
Technical validation of real-world monitoring of gait: a multicentric observational study
Claudia Mazzà, Lisa Alcock, Kamiar Aminian, et al.
BMJ Open (2021) Vol. 11, Iss. 12, pp. e050785-e050785
Open Access | Times Cited: 80
Inertial sensors versus standard systems in gait analysis: a systematic review and meta-analysis
Federica Petraglia, Luca Scarcella, Giuseppe Pedrazzi, et al.
European Journal of Physical and Rehabilitation Medicine (2019) Vol. 55, Iss. 2
Open Access | Times Cited: 75
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: 61
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: 40
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: 30
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