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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:

Probabilistic gait classification in children with cerebral palsy: A Bayesian approach
Leen Van Gestel, Tinne De Laet, Enrico Di Lello, et al.
Research in Developmental Disabilities (2011) Vol. 32, Iss. 6, pp. 2542-2552
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work
Dimple Sethi, Sourabh Bharti, Chandra Prakash
Artificial Intelligence in Medicine (2022) Vol. 129, pp. 102314-102314
Closed Access | Times Cited: 91
Role of machine learning in gait analysis: a review
Preeti Khera, Neelesh Kumar
Journal of Medical Engineering & Technology (2020) Vol. 44, Iss. 8, pp. 441-467
Closed Access | Times Cited: 118
Marine oil spill analyses based on Korea Coast Guard big data from 2017 to 2022 and application of data-driven Bayesian Network
Min-Ho Park, Won-Ju Lee
Journal of Cleaner Production (2024) Vol. 436, pp. 140630-140630
Closed Access | Times Cited: 7
Systematic review on gait classifications in children with cerebral palsy: An update
Eirini Papageorgiou, Angela Nieuwenhuys, Ines Vandekerckhove, et al.
Gait & Posture (2019) Vol. 69, pp. 209-223
Closed Access | Times Cited: 54
Explaining Machine Learning Models for Clinical Gait Analysis
Djordje Slijepčević, Fabian Horst, Sebastian Lapuschkin, et al.
ACM Transactions on Computing for Healthcare (2021) Vol. 3, Iss. 2, pp. 1-27
Open Access | Times Cited: 44
Three-Dimensional Instrumented Gait Analysis for Children With Cerebral Palsy: An Evidence-Based Clinical Practice Guideline
Rebecca A. States, Yasser Salem, Joseph J. Krzak, et al.
Pediatric Physical Therapy (2024) Vol. 36, Iss. 2, pp. 182-206
Open Access | Times Cited: 7
A new method applied for explaining the landing patterns: Interpretability analysis of machine learning
Datao Xu, Huiyu Zhou, Wenjing Quan, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26052-e26052
Open Access | Times Cited: 4
Identification and interpretation of gait analysis features and foot conditions by explainable AI
Mustafa Erkam Özateş, Alper Yaman, Firooz Salami, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Identification of joint patterns during gait in children with cerebral palsy: a Delphi consensus study
Angela Nieuwenhuys, Sylvia Õunpuu, Anja Van Campenhout, et al.
Developmental Medicine & Child Neurology (2015) Vol. 58, Iss. 3, pp. 306-313
Open Access | Times Cited: 45
Statistical Parametric Mapping to Identify Differences between Consensus-Based Joint Patterns during Gait in Children with Cerebral Palsy
Angela Nieuwenhuys, Eirini Papageorgiou, Kaat Desloovere, et al.
PLoS ONE (2017) Vol. 12, Iss. 1, pp. e0169834-e0169834
Open Access | Times Cited: 40
Gutenberg Gait Database, a ground reaction force database of level overground walking in healthy individuals
Fabian Horst, Djordje Slijepčević, Marvin Simak, et al.
Scientific Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 31
Machine learning applied to gait analysis data in cerebral palsy and stroke: A systematic review
Farshad Samadi Kohnehshahri, Andrea Merlo, Davide Mazzoli, et al.
Gait & Posture (2024) Vol. 111, pp. 105-121
Closed Access | Times Cited: 3
Movement Analysis of Rehabilitation Exercises: Distance Metrics for Measuring Patient Progress
Roshanak Houmanfar, Michelle Karg, Dana Kulić
IEEE Systems Journal (2014) Vol. 10, Iss. 3, pp. 1014-1025
Closed Access | Times Cited: 41
Deep Learning for Quantified Gait Analysis: A Systematic Literature Review
Adil Khan, Omar Galarraga, Sonia Garcia-Salicetti, et al.
IEEE Access (2024) Vol. 12, pp. 138932-138957
Open Access | Times Cited: 3
Identification of gait patterns in individuals with cerebral palsy using multiple correspondence analysis
Alice Bonnefoy‐Mazure, Yoshimasa Sagawa, Pierre Lascombes, et al.
Research in Developmental Disabilities (2013) Vol. 34, Iss. 9, pp. 2684-2693
Closed Access | Times Cited: 33
SAGA: Stability-Aware Gait Analysis in constraint-free environments
Dimple Sethi, Deepak Kumar Sharma, Koyel Datta Gupta, et al.
Gait & Posture (2024) Vol. 113, pp. 215-223
Open Access | Times Cited: 2
Gait-Based Diplegia Classification Using LSMT Networks
Alberto Ferrari, Luca Bergamini, Giorgio Guerzoni, et al.
Journal of Healthcare Engineering (2019) Vol. 2019, pp. 1-8
Open Access | Times Cited: 21
Input representations and classification strategies for automated human gait analysis
Djordje Slijepčević, Matthias Zeppelzauer, Caterine Schwab, et al.
Gait & Posture (2019) Vol. 76, pp. 198-203
Open Access | Times Cited: 19
A Review of Machine Learning Network in Human Motion Biomechanics
Wan Shi Low, Chow Khuen Chan, Joon Huang Chuah, et al.
Journal of Grid Computing (2021) Vol. 20, Iss. 1
Closed Access | Times Cited: 13
Using a Bayesian Network to Predict L5/S1 Spinal Compression Force from Posture, Hand Load, Anthropometry, and Disc Injury Status
Richard E. Hughes
Applied Bionics and Biomechanics (2017) Vol. 2017, pp. 1-7
Open Access | Times Cited: 15
A global bibliometric and visualized analysis of gait analysis and artificial intelligence research from 1992 to 2022
Tong Bao, Jiasi Gao, Jinyi Wang, et al.
Frontiers in Robotics and AI (2023) Vol. 10
Open Access | Times Cited: 4
Unveiling Patterns and Abnormalities of Human Gait: A Comprehensive Study
Prateek Singhal, Rakesh Kumar Yadav, Upendra N. Dwivedi
Indian Journal of Information Sources and Services (2024) Vol. 14, Iss. 1, pp. 51-70
Open Access | Times Cited: 1
Does expert knowledge improve automatic probabilistic classification of gait joint motion patterns in children with cerebral palsy?
Tinne De Laet, Eirini Papageorgiou, Angela Nieuwenhuys, et al.
PLoS ONE (2017) Vol. 12, Iss. 6, pp. e0178378-e0178378
Open Access | Times Cited: 14
Gait Classification in Unilateral Cerebral Palsy
Stefanos Tsitlakidis, Axel Horsch, Felix Schaefer, et al.
Journal of Clinical Medicine (2019) Vol. 8, Iss. 10, pp. 1652-1652
Open Access | Times Cited: 13
Human Gait Analysis Using Machine Learning: A Review
Sk Md Alfayeed, Baljit Singh Saini
(2021)
Closed Access | Times Cited: 10
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