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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:

Validity of the Kinect for Gait Assessment: A Focused Review
Shmuel Springer, Galit Yogev‐Seligmann
Sensors (2016) Vol. 16, Iss. 2, pp. 194-194
Open Access | Times Cited: 181

Showing 1-25 of 181 citing articles:

A Survey on Gait Recognition
Changsheng Wan, Li Wang, Vir V. Phoha
ACM Computing Surveys (2018) Vol. 51, Iss. 5, pp. 1-35
Open Access | Times Cited: 261
Three-dimensional cameras and skeleton pose tracking for physical function assessment: A review of uses, validity, current developments and Kinect alternatives
Ross A. Clark, Benjamin F. Mentiplay, Emma Hough, et al.
Gait & Posture (2018) Vol. 68, pp. 193-200
Closed Access | Times Cited: 180
Effects of camera viewing angles on tracking kinematic gait patterns using Azure Kinect, Kinect v2 and Orbbec Astra Pro v2
Ling-Fung Yeung, Zhen-Qun Yang, Kenneth C. Cheng, et al.
Gait & Posture (2021) Vol. 87, pp. 19-26
Open Access | Times Cited: 105
Predicting students’ attention in the classroom from Kinect facial and body features
Janez Zaletelj, Andrej Košir
EURASIP Journal on Image and Video Processing (2017) Vol. 2017, Iss. 1
Open Access | Times Cited: 148
Validation of enhanced kinect sensor based motion capturing for gait assessment
Björn Müller, Winfried Ilg, Martin A. Giese, et al.
PLoS ONE (2017) Vol. 12, Iss. 4, pp. e0175813-e0175813
Open Access | Times Cited: 146
Improved kinect-based spatiotemporal and kinematic treadmill gait assessment
Moataz Eltoukhy, Jeong‐Hoon Oh, Christopher Kuenze, et al.
Gait & Posture (2016) Vol. 51, pp. 77-83
Closed Access | Times Cited: 130
Verification of reliability and validity of motion analysis systems during bilateral squat using human pose tracking algorithm
Megumi Ota, Hiroshige Tateuchi, Takaya Hashiguchi, et al.
Gait & Posture (2020) Vol. 80, pp. 62-67
Open Access | Times Cited: 98
Verification of validity of gait analysis systems during treadmill walking and running using human pose tracking algorithm
Megumi Ota, Hiroshige Tateuchi, Takaya Hashiguchi, et al.
Gait & Posture (2021) Vol. 85, pp. 290-297
Open Access | Times Cited: 77
Wearable Devices for Gait Analysis in Intelligent Healthcare
Xin Liu, Chen Zhao, Bin Zheng, et al.
Frontiers in Computer Science (2021) Vol. 3
Open Access | Times Cited: 58
Computation of Gait Parameters in Post Stroke and Parkinson’s Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems
Verônica Cimolin, Luca Vismara, Claudia Ferraris, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 824-824
Open Access | Times Cited: 38
Precision weed detection in wheat fields for agriculture 4.0: A survey of enabling technologies, methods, and research challenges
Ke Xu, Lei Shu, Qi Xie, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108106-108106
Closed Access | Times Cited: 28
Accuracy, Validity, and Reliability of Markerless Camera-Based 3D Motion Capture Systems versus Marker-Based 3D Motion Capture Systems in Gait Analysis: A Systematic Review and Meta-Analysis
Sofia Scataglini, Eveline Abts, Cas Van Bocxlaer, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3686-3686
Open Access | Times Cited: 12
A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson’s Disease
Domenico Buongiorno, Ilaria Bortone, Giacomo Donato Cascarano, et al.
BMC Medical Informatics and Decision Making (2019) Vol. 19, Iss. S9
Open Access | Times Cited: 74
Normal and pathological gait classification LSTM model
Margarita Khokhlova, Cyrille Migniot, Alexei A. Morozov, et al.
Artificial Intelligence in Medicine (2019) Vol. 94, pp. 54-66
Closed Access | Times Cited: 73
Gait analysis with the Kinect v2: normative study with healthy individuals and comprehensive study of its sensitivity, validity, and reliability in individuals with stroke
J. Latorre, Carolina Colomer, Mariano Alcañíz, et al.
Journal of NeuroEngineering and Rehabilitation (2019) Vol. 16, Iss. 1
Open Access | Times Cited: 73
Validation of a Kinect V2 based rehabilitation game
Mengxuan Ma, Rachel Proffitt, Marjorie Skubic
PLoS ONE (2018) Vol. 13, Iss. 8, pp. e0202338-e0202338
Open Access | Times Cited: 70
Multiple Kinect based system to monitor and analyze key performance indicators of physical training
Karolis Ryselis, Tautvydas Petkus, Tomas Blažauskas, et al.
Human-centric Computing and Information Sciences (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 64
Using New Camera-Based Technologies for Gait Analysis in Older Adults in Comparison to the Established GAITRite System
Anika Steinert, Igor Sattler, Karen Otte, et al.
Sensors (2019) Vol. 20, Iss. 1, pp. 125-125
Open Access | Times Cited: 60
Alzheimer’s Disease Detection Using Comprehensive Analysis of Timed Up and Go Test via Kinect V.2 Camera and Machine Learning
Mahmoud Seifallahi, Afsoon Hassani Mehraban, James E. Galvin, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1589-1600
Open Access | Times Cited: 31
Consensus Paper: Ataxic Gait
Pierre Cabaraux, Sunil K. Agrawal, Huaying Cai, et al.
The Cerebellum (2022) Vol. 22, Iss. 3, pp. 394-430
Closed Access | Times Cited: 28
Motion Capture Technologies for Ergonomics: A Systematic Literature Review
Sani Salisu, Nur Intan Raihana Ruhaiyem, Taiseer Abdalla Elfadil Eisa, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2593-2593
Open Access | Times Cited: 18
Curve Walking Reveals More Gait Impairments in Older Adults with Mild Cognitive Impairment than Straight Walking: A Kinect Camera-Based Study
Mahmoud Seifallahi, James E. Galvin, Behnaz Ghoraani
Journal of Alzheimer s Disease Reports (2024) Vol. 8, Iss. 1, pp. 423-435
Open Access | Times Cited: 6
Automatic Classification of Gait Impairments Using a Markerless 2D Video-Based System
Tanmay Tulsidas Verlekar, Luís Ducla Soares, Paulo Lobato Correia
Sensors (2018) Vol. 18, Iss. 9, pp. 2743-2743
Open Access | Times Cited: 53
Using Kinect to classify Parkinson’s disease stages related to severity of gait impairment
Lacramioara Dranca, Lopez de Abetxuko Ruiz de Mendarozketa, Alfredo Goñi, et al.
BMC Bioinformatics (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 51
The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy
Yunru Ma, Kumar Mithraratne, Nichola Wilson, et al.
Sensors (2019) Vol. 19, Iss. 7, pp. 1660-1660
Open Access | Times Cited: 50
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