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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:

Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine Learning
Johannes Burdack, Fabian Horst, Sven Giesselbach, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
Dante Trabassi, Mariano Serrao, Tiwana Varrecchia, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3700-3700
Open Access | Times Cited: 69
A Survey of Human Gait-Based Artificial Intelligence Applications
Elsa J. Harris, I‐Hung Khoo, Emel Demircan
Frontiers in Robotics and AI (2022) Vol. 8
Open Access | Times Cited: 67
Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches
Anubha Parashar, Apoorva Parashar, Weiping Ding, et al.
Pattern Recognition Letters (2023) Vol. 172, pp. 65-73
Closed Access | Times Cited: 33
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
The effect of time normalization and biomechanical signal processing techniques of ground reaction force curves on deep-learning model performance
Oussama Jlassi, Philippe C Dixon
Journal of Biomechanics (2024) Vol. 168, pp. 112116-112116
Open Access | Times Cited: 5
[The instrumental assessment of visuomotor coordination of stroke patients after neurorehabilitation]
Marco Iosa, E Capodaglio, Benedetta Persechino, et al.
Giornale italiano di medicina del lavoro ed ergonomia (2025) Vol. 43, Iss. 3, pp. 19-23
Closed Access
Diagnosis and prognosis of COVID-19 employing analysis of patients' plasma and serum via LC-MS and machine learning
Alexandre de Fátima Cobre, Mônica Surek, Dile Pontarolo Stremel, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105659-105659
Open Access | Times Cited: 22
Application of machine learning in polyimide structure design and property regulation
Wenjia Huo, Haiyue Wang, Liying Guo, et al.
High Performance Polymers (2025)
Closed Access
The Influence of Motion Data Low-Pass Filtering Methods in Machine-Learning Models
Shuaijie Wang, Jessica Pitts, Rudri Purohit, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2177-2177
Open Access
Advancing Non-Invasive Glucose Prediction with Ontology-Integrated Explainable Ai
Heru Agus Santoso, Nur Setiawati Dewi, Anjar I. Pambudi, et al.
(2025)
Closed 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
Machine learning regression models for prediction of multiple ionospheric parameters
Muzaffer Can İban, Erman Şentürk
Advances in Space Research (2021) Vol. 69, Iss. 3, pp. 1319-1334
Open Access | Times Cited: 30
Machine learning-based prediction of survival prognosis in cervical cancer
Dongyan Ding, Tingyuan Lang, Dongling Zou, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 29
Using Accelerometer Data to Tune the Parameters of an Extended Kalman Filter for Optical Motion Capture: Preliminary Application to Gait Analysis
Javier Cuadrado, Florian Michaud, Urbano Lugrís, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 427-427
Open Access | Times Cited: 26
Benchmarking of Data Preprocessing Methods for Machine Learning-Applications in Production
Maik Frye, Johannes Mohren, Robert Schmitt
Procedia CIRP (2021) Vol. 104, pp. 50-55
Open Access | Times Cited: 24
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
Chronic Pain Diagnosis Using Machine Learning, Questionnaires, and QST: A Sensitivity Experiment
Alex Santana, Charles Novaes de Santana, Pedro Montoya
Diagnostics (2020) Vol. 10, Iss. 11, pp. 958-958
Open Access | Times Cited: 21
Predicting the Internal Knee Abduction Impulse During Walking Using Deep Learning
Issam Boukhennoufa, Zainab Altai, Xiaojun Zhai, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 12
Application of Artificial Intelligence in the Establishment of an Association Model between Metabolic Syndrome, TCM Constitution, and the Guidance of Medicated Diet Care
Pei- Li Chien, Chi-Feng Liu, Hui-Ting Huang, et al.
Evidence-based Complementary and Alternative Medicine (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 16
Correlation between Harris hip score and gait analysis through artificial intelligence pose estimation in patients after total hip arthroplasty
Sang Yeob Lee, Seong Jin Park, Jeong‐An Gim, et al.
Asian Journal of Surgery (2023) Vol. 46, Iss. 12, pp. 5438-5443
Open Access | Times Cited: 5
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
Effect of Lubricant Type on the Friction Behaviours and Surface Topography in Metal Forming of Ti-6Al-4V Titanium Alloy Sheets
Marcin Szpunar, Tomasz Trzepieciński, K. Żaba, et al.
Materials (2021) Vol. 14, Iss. 13, pp. 3721-3721
Open Access | Times Cited: 12
Hyperparameters and Tuning Methods for Random Forest Using Python Sklearn Package Relevant to Psychology Studies
Kadir Uludağ
Advances in medical technologies and clinical practice book series (2024), pp. 204-219
Closed Access | Times Cited: 1
Recognition System of Human Fatigue State Based on Hip Gait Information in Gait Patterns
Song Shi, Ziping Cao, Hengheng Li, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3514-3514
Open Access | Times Cited: 6
Identifying underlying individuality across running, walking, and handwriting patterns with conditional cycle–consistent generative adversarial networks
Johannes Burdack, Sven Giesselbach, Marvin Simak, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 3
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