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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:

GaitRec, a large-scale ground reaction force dataset of healthy and impaired gait
Brian Horsak, Djordje Slijepčević, Anna-Maria Raberger, et al.
Scientific Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino, Franca Delmastro
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 5261-5315
Open Access | Times Cited: 85
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
DeepLabCut custom-trained model and the refinement function for gait analysis
Giulia Panconi, Stefano Grasso, Sara Guarducci, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Deep neural networks for human’s fall-risk prediction using force-plate time series signal
Marzieh Savadkoohi, Timothy Oladunni, LuAnne Thompson
Expert Systems with Applications (2021) Vol. 182, pp. 115220-115220
Open Access | Times Cited: 35
Recent use of deep learning techniques in clinical applications based on gait: a survey
Yume Matsushita, Dinh Tuan Tran, Hirotake Yamazoe, et al.
Journal of Computational Design and Engineering (2021) Vol. 8, Iss. 6, pp. 1499-1532
Open Access | Times Cited: 32
Modeling biological individuality using machine learning: A study on human gait
Fabian Horst, Djordje Slijepčević, Marvin Simak, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 3414-3423
Open Access | Times Cited: 14
Multibody dynamics-based musculoskeletal modeling for gait analysis: a systematic review
Muhammad Abdullah, Abdul Aziz Hulleck, Rateb Katmah, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 4
Estimation of three-dimensional ground reaction forces using low-cost smart insoles
D. H. Zhang, Ying Liu, Timothy Exell, et al.
(2025) Vol. 1, Iss. 1, pp. 40-50
Open Access
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
Principal Component Analysis of the Running Ground Reaction Forces With Different Speeds
Lin Yu, Qichang Mei, Liangliang Xiang, et al.
Frontiers in Bioengineering and Biotechnology (2021) Vol. 9
Open Access | Times Cited: 28
Strategies to optimise machine learning classification performance when using biomechanical features
Bernard X. W. Liew, Florian Pfisterer, David Rügamer, et al.
Journal of Biomechanics (2024) Vol. 165, pp. 111998-111998
Open Access | Times Cited: 3
Gait dynamic stability evaluation in patients undergoing hip joint fractures – tools to measure rehabilitation effectiveness
Imran Mahmood, Hafiz Farhan Maqbool, Anam Raza, et al.
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 4, pp. 045050-045050
Closed Access | Times Cited: 3
Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals
Md Nazmul Islam Shuzan, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104448-104448
Closed Access | Times Cited: 16
Static versus dynamic muscle modelling in extinct species: a biomechanical case study of the Australopithecus afarensis pelvis and lower extremity
Ashleigh L. A. Wiseman, James P. Charles, John R. Hutchinson
PeerJ (2024) Vol. 12, pp. e16821-e16821
Open Access | Times Cited: 3
Real-world measurements of ground reaction forces of normal gait of young adults wearing various footwear
Marcin Derlatka, Marek Parfieniuk
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 7
GMM‐LIME explainable machine learning model for interpreting sensor‐based human gait
Mercy Mawia Mulwa, Ronald Waweru Mwangi, Agnes Mindila
Engineering Reports (2024) Vol. 6, Iss. 10
Open Access | Times Cited: 2
Methods to quantify gait rehabilitation following lower limb fractures
Anam Raza, Imran Mahmood, Tayyaba Sultana
MethodsX (2024) Vol. 13, pp. 102894-102894
Open Access | Times Cited: 2
An Efficient Gait Abnormality Detection Method Based on Classification
Darshan Jani, V. Vijayakumar, Rushirajsinh Parmar, et al.
Journal of Sensor and Actuator Networks (2022) Vol. 11, Iss. 3, pp. 31-31
Open Access | Times Cited: 10
GaitRec-Net: A Deep Neural Network for Gait Disorder Detection Using Ground Reaction Force
Chandrasen Pandey, Diptendu Sinha Roy, Ramesh Chandra Poonia, et al.
PPAR Research (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 10
Deep Metric Learning for Scalable Gait-Based Person Re-Identification Using Force Platform Data
Kayne A. Duncanson, Simon Thwaites, David T. Booth, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3392-3392
Open Access | Times Cited: 5
Auditory feedback in tele-rehabilitation based on automated gait classification
Victor Adriel de Jesus Oliveira, Djordje Slijepčević, Bernhard Dumphart, et al.
Personal and Ubiquitous Computing (2023) Vol. 27, Iss. 5, pp. 1873-1886
Open Access | Times Cited: 5
Digital wearable insole-based identification of knee arthropathies and gait signatures using machine learning
Matthew F. Wipperman, Allen Z. Lin, Kaitlyn Gayvert, et al.
eLife (2024) Vol. 13
Open Access | Times Cited: 1
Reduced adaptability to balance perturbations in older adults with probable cognitive impairment after a severe fall
M.W. Voss, Tania Zieschang, Laura Schmidt, et al.
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0305067-e0305067
Open Access | Times Cited: 1
A stacked autoencoder-based aid system for severity degree classification of knee ligament rupture
Rogelio Cedeno-Moreno, Luis A. Morales-Hernández, Irving A. Cruz‐Albarran
Computers in Biology and Medicine (2024) Vol. 181, pp. 108983-108983
Closed Access | Times Cited: 1
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