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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:

Automated classification of neurological disorders of gait using spatio-temporal gait parameters
Cauchy Pradhan, Max Wuehr, Farhoud Akrami, et al.
Journal of Electromyography and Kinesiology (2015) Vol. 25, Iss. 2, pp. 413-422
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

The Role of Movement Analysis in Diagnosing and Monitoring Neurodegenerative Conditions: Insights from Gait and Postural Control
Christopher Buckley, Lisa Alcock, Ríona Mc Ardle, et al.
Brain Sciences (2019) Vol. 9, Iss. 2, pp. 34-34
Open Access | Times Cited: 157
Using of Multi-Source and Multi-Temporal Remote Sensing Data Improves Crop-Type Mapping in the Subtropical Agriculture Region
Chuanliang Sun, Yan Shan Bian, Tao Zhou, et al.
Sensors (2019) Vol. 19, Iss. 10, pp. 2401-2401
Open Access | Times Cited: 137
Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson’s Disease: A Comprehensive Machine Learning Approach
Rana Zia Ur Rehman, Silvia Del Din, Yu Guan, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 116
Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time
Linard Filli, Tabea Sutter, Chris Awai Easthope, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 111
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
Machine learning-based identification and classification of physical fatigue levels: A novel method based on a wearable insole device
Maxwell Fordjour Antwi‐Afari, Shahnawaz Anwer, Waleed Umer, et al.
International Journal of Industrial Ergonomics (2022) Vol. 93, pp. 103404-103404
Open Access | Times Cited: 41
Effect of walking speed on gait sub phase durations
Felix Hebenstreit, Andreas Leibold, Sebastian Krinner, et al.
Human Movement Science (2015) Vol. 43, pp. 118-124
Closed Access | Times Cited: 81
Fall risk assessment of construction workers based on biomechanical gait stability parameters using wearable insole pressure system
Maxwell Fordjour Antwi‐Afari, Heng Li
Advanced Engineering Informatics (2018) Vol. 38, pp. 683-694
Closed Access | Times Cited: 73
Automated detection and classification of construction workers' loss of balance events using wearable insole pressure sensors
Maxwell Fordjour Antwi‐Afari, Heng Li, JoonOh Seo, et al.
Automation in Construction (2018) Vol. 96, pp. 189-199
Closed Access | Times Cited: 72
An artificial intelligence-based clinical decision support system for large kidney stone treatment
Tayyebe Shabaniyan, Hossein Parsaei, Alireza Aminsharifi, et al.
Australasian Physical & Engineering Sciences in Medicine (2019) Vol. 42, Iss. 3, pp. 771-779
Closed Access | Times Cited: 71
Less Is More – Estimation of the Number of Strides Required to Assess Gait Variability in Spatially Confined Settings
Daniel Kroneberg, Morad Elshehabi, Anne-Christiane Meyer, et al.
Frontiers in Aging Neuroscience (2019) Vol. 10
Open Access | Times Cited: 61
Evaluation of Three Machine Learning Algorithms for the Automatic Classification of EMG Patterns in Gait Disorders
Christopher Fricke, Jalal Alizadeh, Nahrin Zakhary, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 41
Revealing the quality of movement: A meta-analysis review to quantify the thresholds to pathological variability during standing and walking
Niklas König, William R. Taylor, Christian R. Baumann, et al.
Neuroscience & Biobehavioral Reviews (2016) Vol. 68, pp. 111-119
Open Access | Times Cited: 60
Wearable Sensor System for Detecting Gait Parameters of Abnormal Gaits: A Feasibility Study
Guangyi Li, Tao Liu, Jingang Yi
IEEE Sensors Journal (2018) Vol. 18, Iss. 10, pp. 4234-4241
Closed Access | Times Cited: 53
The developmental dynamics of gait maturation with a focus on spatiotemporal measures
Claudine M. Kraan, Amanda Tan, Kim Cornish
Gait & Posture (2016) Vol. 51, pp. 208-217
Closed Access | Times Cited: 50
Prediction of Freezing of Gait in Patients With Parkinson’s Disease by Identifying Impaired Gait Patterns
Yuqian Zhang, Weiwu Yan, Yifei Yao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 3, pp. 591-600
Closed Access | Times Cited: 47
Clinical and automated gait analysis in patients with vestibular, cerebellar, and functional gait disorders: perspectives and limitations
Roman Schniepp, Ken Möhwald, Max Wuehr
Journal of Neurology (2019) Vol. 266, Iss. S1, pp. 118-122
Closed Access | Times Cited: 43
Kinematic movement and balance parameter analysis in neurological gait disorders
Martina Piefke, Hannah Lena Siebers, Julia Reim, et al.
Journal of Biological Engineering (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 4
Analyzing the impact of features embedded in customers’ reviews of refurbished mobile phones on customer satisfaction
Anu G. Aggarwal, Shikha Tomar -, Sameer Anand, et al.
Intelligent Decision Technologies (2025)
Closed Access
Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disorders
Seyed‐Ahmad Ahmadi, Gerome Vivar, Nassir Navab, et al.
Journal of Neurology (2020) Vol. 267, Iss. S1, pp. 143-152
Open Access | Times Cited: 37
Machine Learning Techniques for Differential Diagnosis of Vertigo and Dizziness: A Review
Varad Kabade, Ritika Hooda, Chahat Raj, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7565-7565
Open Access | Times Cited: 29
Selection of clinical features for pattern recognition applied to gait analysis
Rosa Altilio, Marco Paoloni, Massimo Panella
Medical & Biological Engineering & Computing (2016) Vol. 55, Iss. 4, pp. 685-695
Closed Access | Times Cited: 35
Towards computerized diagnosis of neurological stance disorders: data mining and machine learning of posturography and sway
Seyed‐Ahmad Ahmadi, Gerome Vivar, Johann Frei, et al.
Journal of Neurology (2019) Vol. 266, Iss. S1, pp. 108-117
Closed Access | Times Cited: 30
How features embedded in eWOM predict hotel guest satisfaction: an application of artificial neural networks
Aakash Aakash, Abhishek Tandon, Anu G. Aggarwal
Journal of Hospitality Marketing & Management (2021) Vol. 30, Iss. 4, pp. 486-507
Closed Access | Times Cited: 20
Dynamic time warping approach for optimized locomotor impairment detection using biomedical signal processing
Subhrangshu Adhikary, Arindam Ghosh
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103321-103321
Closed Access | Times Cited: 19
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