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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:

Prediction of gait trajectories based on the Long Short Term Memory neural networks
Abdelrahman Zaroug, Alessandro Garofolini, Daniel Lai, et al.
PLoS ONE (2021) Vol. 16, Iss. 8, pp. e0255597-e0255597
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Deep Learning Models for Stable Gait Prediction Applied to Exoskeleton Reference Trajectories for Children With Cerebral Palsy
Rania Kolaghassi, Gianluca Marcelli, Konstantinos Sirlantzis
IEEE Access (2023) Vol. 11, pp. 31962-31976
Open Access | Times Cited: 17
Estimation of Forces and Powers in Ergometer and Scull Rowing Based on Long Short-Term Memory Neural Networks
Lorenzo Pitto, Frédéric R. Simon, Geoffrey N. Ertel, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 279-279
Open Access
Leveraging graph neural networks and gate recurrent units for accurate and transparent prediction of baseball pitching speed
Yang Chen, Pengfei Jin, Yan Chen
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Sensors and algorithms for locomotion intention detection of lower limb exoskeletons
Duojin Wang, Xiaoping Gu, Hongliu Yu
Medical Engineering & Physics (2023) Vol. 113, pp. 103960-103960
Closed Access | Times Cited: 11
Performance of Deep Learning Models in Forecasting Gait Trajectories of Children with Neurological Disorders
Rania Kolaghassi, Mohamad Kenan Al-Hares, Gianluca Marcelli, et al.
Sensors (2022) Vol. 22, Iss. 8, pp. 2969-2969
Open Access | Times Cited: 16
Gait Trajectory Prediction on an Embedded Microcontroller Using Deep Learning
Mohamed Karakish, Moustafa A. Fouz, A. Elsawaf
Sensors (2022) Vol. 22, Iss. 21, pp. 8441-8441
Open Access | Times Cited: 14
Deep Learning Approaches for Enhanced Lower-Limb Exoskeleton Control: A Review
Mohammad Belal, Nael Alsheikh, Ahmad Aljarah, et al.
IEEE Access (2024) Vol. 12, pp. 143883-143907
Open Access | Times Cited: 2
Deep learning with an attention mechanism for continuous biomechanical motion estimation across varied activities
Guanlin Ding, Andrew Plummer, Ioannis Georgilas
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 11
Application of Wearable Sensors in Actuation and Control of Powered Ankle Exoskeletons: A Comprehensive Review
azadeh kian, Giwantha Widanapathirana, Anna M. Joseph, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2244-2244
Open Access | Times Cited: 8
BlazePose-Seq2Seq: Leveraging Regular RGB Cameras for Robust Gait Assessment
Abdul Aziz Hulleck, Aamna AlShehhi, Marwan El‐Rich, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1715-1724
Open Access | Times Cited: 1
Machine Learning Model to Estimate Net Joint Moments during Lifting Task Using Wearable Sensors: A Preliminary Study for Design of Exoskeleton Control System
Seungheon Chae, Ahnryul Choi, Hyunwoo Jung, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 11735-11735
Open Access | Times Cited: 9
Adaptive Gait Trajectory and Event Prediction of Lower Limb Exoskeletons for Various Terrains Using Reinforcement Learning
Zhipeng Yu, Jianghai Zhao, Danhui Chen, et al.
Journal of Intelligent & Robotic Systems (2023) Vol. 109, Iss. 2
Closed Access | Times Cited: 3
Human heart health prediction using GAIT parameters and machine learning model
Pawan Kumar Singh, Prabhat Singh Kourav, Shaurya Mohapatra, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105696-105696
Closed Access | Times Cited: 3
TempoNet: Empowering Long-Term Knee Joint Angle Prediction with Dynamic Temporal Attention in Exoskeleton Control
Lyes Saad Saoud, Irfan Hussain
(2023), pp. 1-8
Open Access | Times Cited: 3
Using Deep Learning to Predict Minimum Foot–Ground Clearance Event from Toe-Off Kinematics
Clement Ogugua Asogwa, Hanatsu Nagano, Kai Wang, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 6960-6960
Open Access | Times Cited: 5
Implementing Gait Kinematic Trajectory Forecasting Models on an Embedded System
Madina Shayne, Leonardo A. Molina, Bin Hu, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2649-2649
Open Access
Leveraging Graph Neural Networks and Gate Recurrent Units for Accurate and Transparent Prediction of Baseball Pitching Speed
Yang Chen, Pengfei Jin, Yan Chen
Research Square (Research Square) (2024)
Open Access
Time Series Classification for Predicting Biped Robot Step Viability
Jorge Igual, Pedro Parik-Americano, Eric Cito Becman, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7107-7107
Open Access
Estimation of the legs’ state of a mobile robot based on Long Short-Term Memory network
Ahed Albadin, Chadi Albitar, Michel Alsaba
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109539-109539
Closed Access
Exploring Dataset Bias and Scaling Techniques in Multi-Source Gait Biomechanics: An Explainable Machine Learning Approach
Sophie Fleischmann, Severine Dietz, Julian Shanbhag, et al.
ACM Transactions on Intelligent Systems and Technology (2024)
Open Access
Prediction of Gait Trajectory for Motion Mode Switching of Exoskeleton Robots Based on Deep Learning
Xiaojing Tian, Renjie Liu, Zhi Lu, et al.
(2024), pp. 72-77
Closed Access
Improving Knee Joint Angle Prediction Through Dynamic Contextual Focus and Gated Linear Units
Lyes Saad Saoud, Humaid Ibrahim, Ahmad Aljarah, et al.
(2023)
Open Access | Times Cited: 1
Data-driven Gait-predictive Model for Anticipatory Prosthesis Control
Sharmita Dey, Arndt F. Schilling
(2022) Vol. 11641, pp. 1-6
Closed Access | Times Cited: 2
Predicting Sagittal-Plane Swing Hip Kinematics in Response to Trips
Shannon M. Danforth, Xinyi Liu, M. J. Ward, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 7542-7549
Open Access | Times Cited: 1
Predicting Sagittal-Plane Swing Hip Kinematics in Response to Trips
Shannon M. Danforth, Xinyi Liu, M. J. Ward, et al.
2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (2022), pp. 1-8
Closed Access | Times Cited: 1
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