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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:

Accurate and Reliable Gait Cycle Detection in Parkinson's Disease
Sandra R. Hundza, W. R. Hook, Christopher Harris, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2013) Vol. 22, Iss. 1, pp. 127-137
Closed Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

Gait Partitioning Methods: A Systematic Review
Juri Taborri, Eduardo Palermo, Stefano Rossi, et al.
Sensors (2016) Vol. 16, Iss. 1, pp. 66-66
Open Access | Times Cited: 309
An Emerging Era in the Management of Parkinson's Disease: Wearable Technologies and the Internet of Things
Cristian Pasluosta, Heiko Gaßner, Jürgen Winkler, et al.
IEEE Journal of Biomedical and Health Informatics (2015) Vol. 19, Iss. 6, pp. 1873-1881
Closed Access | Times Cited: 307
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
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
Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data
Jens Barth, Cäcilia Oberndorfer, Cristian Pasluosta, et al.
Sensors (2015) Vol. 15, Iss. 3, pp. 6419-6440
Open Access | Times Cited: 170
A Mobile Kalman-Filter Based Solution for the Real-Time Estimation of Spatio-Temporal Gait Parameters
Alberto Ferrari, Pieter Ginis, Michael Hardegger, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2015) Vol. 24, Iss. 7, pp. 764-773
Open Access | Times Cited: 129
Inertial Sensor-Based Robust Gait Analysis in Non-Hospital Settings for Neurological Disorders
Can Tunca, Nezihe Pehlivan, Nağme Ak, et al.
Sensors (2017) Vol. 17, Iss. 4, pp. 825-825
Open Access | Times Cited: 126
Deep Multi-Layer Perceptron Classifier for Behavior Analysis to Estimate Parkinson’s Disease Severity Using Smartphones
Shaohua Wan, Yan Liang, Yin Zhang⋆, et al.
IEEE Access (2018) Vol. 6, pp. 36825-36833
Open Access | Times Cited: 120
A Novel HMM Distributed Classifier for the Detection of Gait Phases by Means of a Wearable Inertial Sensor Network
Juri Taborri, Stefano Rossi, Eduardo Palermo, et al.
Sensors (2014) Vol. 14, Iss. 9, pp. 16212-16234
Open Access | Times Cited: 117
Collective sensing of workers' gait patterns to identify fall hazards in construction
Kanghyeok Yang, Changbum R. Ahn, Mehmet C. Vuran, et al.
Automation in Construction (2017) Vol. 82, pp. 166-178
Open Access | Times Cited: 108
Walking gait event detection based on electromyography signals using artificial neural network
Nurhazimah Nazmi, Mohd Azizi Abdul Rahman, Shin-ichiroh Yamamoto, et al.
Biomedical Signal Processing and Control (2018) Vol. 47, pp. 334-343
Open Access | Times Cited: 107
Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review
Abdul Saboor, Triin Kask, Alar Kuusik, et al.
IEEE Access (2020) Vol. 8, pp. 167830-167864
Open Access | Times Cited: 92
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
Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease
Nooshin Haji Ghassemi, Julius Hannink, Christine F. Martindale, et al.
Sensors (2018) Vol. 18, Iss. 1, pp. 145-145
Open Access | Times Cited: 70
Validation of Inter-Subject Training for Hidden Markov Models Applied to Gait Phase Detection in Children with Cerebral Palsy
Juri Taborri, Emilia Scalona, Eduardo Palermo, et al.
Sensors (2015) Vol. 15, Iss. 9, pp. 24514-24529
Open Access | Times Cited: 68
Measuring signal fluctuations in gait rhythm time series of patients with Parkinson's disease using entropy parameters
Yunfeng Wu, Pinnan Chen, Xin Luo, et al.
Biomedical Signal Processing and Control (2016) Vol. 31, pp. 265-271
Closed Access | Times Cited: 64
Parkinson's disease monitoring from gait analysis via foot-worn sensors
Tunç Aşuroğlu, Koray Açıcı, Çağatay Berke Erdaş, et al.
Journal of Applied Biomedicine (2018) Vol. 38, Iss. 3, pp. 760-772
Closed Access | Times Cited: 63
Remote Assessment of Parkinson’s Disease Symptom Severity Using the Simulated Cellular Mobile Telephone Network
Athanasios Tsanas, Max A. Little, Lorraine O. Ramig
IEEE Access (2021) Vol. 9, pp. 11024-11036
Open Access | Times Cited: 42
Role of Wearable Sensors with Machine Learning Approaches in Gait Analysis for Parkinson's Disease Assessment: A Review
Aishwarya Balakrishnan, Jeevan Medikonda, Pramod K. Namboothiri, et al.
Engineered Science (2022)
Open Access | Times Cited: 36
Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights From Human Gait
Ratan Das, Sudip Paul, Gajendra Kumar Mourya, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 26
Measuring Gait Quality in Parkinson’s Disease through Real-Time Gait Phase Recognition
Ilaria Mileti, Marco Germanotta, Enrica Di Sipio, et al.
Sensors (2018) Vol. 18, Iss. 3, pp. 919-919
Open Access | Times Cited: 42
Validating ambulatory gait assessment technique for hazard sensing in construction environments
Kanghyeok Yang, Changbum R. Ahn, Hyunsoo Kim
Automation in Construction (2018) Vol. 98, pp. 302-309
Open Access | Times Cited: 40
Wearable Physical Activity Tracking Systems for Older Adults—A Systematic Review
Dimitri Vargemidis, Kathrin Gerling, Katta Spiel, et al.
ACM Transactions on Computing for Healthcare (2020) Vol. 1, Iss. 4, pp. 1-37
Open Access | Times Cited: 36
Wavelet-based algorithm for auto-detection of daily living activities of older adults captured by multiple inertial measurement units (IMUs)
F. Ayachi, Hung Nguyen, Catherine Lavigne–Pelletier, et al.
Physiological Measurement (2016) Vol. 37, Iss. 3, pp. 442-461
Open Access | Times Cited: 37
Identification of Gait Events in Healthy and Parkinson’s Disease Subjects Using Inertial Sensors: A Supervised Learning Approach
Juan C. Pérez-Ibarra, Adriano A. G. Siqueira, Hermano Igo Krebs
IEEE Sensors Journal (2020) Vol. 20, Iss. 24, pp. 14984-14993
Closed Access | Times Cited: 31
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