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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:

Accuracy and Reliability of the Kinect Version 2 for Clinical Measurement of Motor Function
Karen Otte, Bastian Kayser, Sebastian Mansow‐Model, et al.
PLoS ONE (2016) Vol. 11, Iss. 11, pp. e0166532-e0166532
Open Access | Times Cited: 231

Showing 26-50 of 231 citing articles:

Usability Test of Exercise Games Designed for Rehabilitation of Elderly Patients After Hip Replacement Surgery: Pilot Study
Yun Ling, Louis P Ter Meer, Zerrin Yumak, et al.
JMIR Serious Games (2017) Vol. 5, Iss. 4, pp. e19-e19
Open Access | Times Cited: 42
Reliability and validity of the Kinect V2 for the assessment of lower extremity rehabilitation exercises
Monique Wochatz, Nina Tilgner, Steffen Mueller, et al.
Gait & Posture (2019) Vol. 70, pp. 330-335
Closed Access | Times Cited: 42
Validation of Static and Dynamic Balance Assessment Using Microsoft Kinect for Young and Elderly Populations
Moataz Eltoukhy, Christopher Kuenze, Jeong‐Hoon Oh, et al.
IEEE Journal of Biomedical and Health Informatics (2017) Vol. 22, Iss. 1, pp. 147-153
Closed Access | Times Cited: 41
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: 41
Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training
Elise Klæbo Vonstad, Xiaomeng Su, Beatrix Vereijken, et al.
Sensors (2020) Vol. 20, Iss. 23, pp. 6940-6940
Open Access | Times Cited: 33
Modeling spatiotemporal patterns of gait anomaly with a CNN-LSTM deep neural network
Nasrin Sadeghzadehyazdi, Tamal Batabyal, Scott T. Acton
Expert Systems with Applications (2021) Vol. 185, pp. 115582-115582
Closed Access | Times Cited: 28
Dual-channel cascade pose estimation network trained on infrared thermal image and groundtruth annotation for real-time gait measurement
Yean Zhu, Wei Lü, Ruoqi Zhang, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102435-102435
Closed Access | Times Cited: 19
Motor signature of autism spectrum disorder in adults without intellectual impairment
An Bin Cho, Karen Otte, Irina Baskow, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 19
Reducing Trunk Compensation in Stroke Survivors: A Randomized Crossover Trial Comparing Visual and Force Feedback Modalities
Bulmaro A. Valdés, Andrea Nicole Schneider, H. F. Machiel Van der Loos
Archives of Physical Medicine and Rehabilitation (2017) Vol. 98, Iss. 10, pp. 1932-1940
Open Access | Times Cited: 39
Maximum walking speed in multiple sclerosis assessed with visual perceptive computing
Anuschka Grobelny, Janina Behrens, Sebastian Mertens, et al.
PLoS ONE (2017) Vol. 12, Iss. 12, pp. e0189281-e0189281
Open Access | Times Cited: 35
Influence of a Marker-Based Motion Capture System on the Performance of Microsoft Kinect v2 Skeleton Algorithm
MReza Naeemabadi, Birthe Dinesen, Ole Kæseler Andersen, et al.
IEEE Sensors Journal (2018) Vol. 19, Iss. 1, pp. 171-179
Open Access | Times Cited: 35
Gamified In-Home Rehabilitation for Stroke Survivors: Analytical Review
Paul Tamayo‐Serrano, Samir Garbaya, Pierre Blazevic
International Journal of Serious Games (2018) Vol. 5, Iss. 1
Open Access | Times Cited: 34
Adaptive gameplay and difficulty adjustment in a gamified upper-limb rehabilitation
Joana F. Pinto, Henrique Carvalho, Gonçalo Chambel, et al.
(2018), pp. 1-8
Closed Access | Times Cited: 34
Low-Cost Tracking Systems Allow Fine Biomechanical Evaluation of Upper-Limb Daily-Life Gestures in Healthy People and Post-Stroke Patients
Alessandro Scano, Franco Molteni, Lorenzo Molinari Tosatti
Sensors (2019) Vol. 19, Iss. 5, pp. 1224-1224
Open Access | Times Cited: 30
Kinematic Validation of Postural Sway Measured by Biodex Biosway (Force Plate) and SWAY Balance (Accelerometer) Technology
Birendra M. Dewan, C. Roger James, Neeraj A. Kumar, et al.
BioMed Research International (2019) Vol. 2019, pp. 1-10
Open Access | Times Cited: 30
The use of augmented reality in the diagnosis and treatment of autistic children: a review and a new system
Mohammad Wedyan, Adel Al-Jumaily, Osama Dorgham
Multimedia Tools and Applications (2020) Vol. 79, Iss. 25-26, pp. 18245-18291
Closed Access | Times Cited: 30
The Accuracy of the Microsoft Kinect V2 Sensor for Human Gait Analysis. A Different Approach for Comparison with the Ground Truth
Diego Guffanti, Alberto Brunete, Miguel Hernando, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4405-4405
Open Access | Times Cited: 29
Kinect-based rapid movement training to improve balance recovery for stroke fall prevention: a randomized controlled trial
Melisa Junata, Kenneth C. Cheng, Hok Sum Man, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 26
The Use of Vitamin K2 in Patients With Parkinson's Disease and Mitochondrial Dysfunction (PD-K2): A Theranostic Pilot Study in a Placebo-Controlled Parallel Group Design
Jannik Prasuhn, Meike Kasten, Melissa Vos, et al.
Frontiers in Neurology (2021) Vol. 11
Open Access | Times Cited: 25
A review of the evolution of scientific literature on technology-assisted approaches using RGB-D sensors for musculoskeletal health monitoring
Naveen Kumar Mangal, Anil Kumar Tiwari
Computers in Biology and Medicine (2021) Vol. 132, pp. 104316-104316
Closed Access | Times Cited: 25
Digital Devices for Assessing Motor Functions in Mobility-Impaired and Healthy Populations: Systematic Literature Review
Christine C. Guo, Patrizia A. Chiesa, Carl de Moor, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 11, pp. e37683-e37683
Open Access | Times Cited: 16
From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition
Kimji N. Pellano, Inga Strümke, Espen A. F. Ihlen
Sensors (2024) Vol. 24, Iss. 6, pp. 1940-1940
Open Access | Times Cited: 3
Self-selected speed provides more accurate human gait kinematics and spatiotemporal parameters than overground simulated speed on a treadmill: a cross-sectional study
Federico Roggio, Bruno Trovato, Martina Sortino, et al.
BMC Sports Science Medicine and Rehabilitation (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 3
3D Analysis of Upper Limbs Motion during Rehabilitation Exercises Using the KinectTM Sensor: Development, Laboratory Validation and Clinical Application
Bruno Bonnechère, Victor Sholukha, Luboš Omelina, et al.
Sensors (2018) Vol. 18, Iss. 7, pp. 2216-2216
Open Access | Times Cited: 30
HemoKinect: A Microsoft Kinect V2 Based Exergaming Software to Supervise Physical Exercise of Patients with Hemophilia
Fernando Mateo, Emilio Soria‐Olivas, Juan J. Carrasco, et al.
Sensors (2018) Vol. 18, Iss. 8, pp. 2439-2439
Open Access | Times Cited: 30

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