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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:

Explaining the unique nature of individual gait patterns with deep learning
Fabian Horst, Sebastian Lapuschkin, Wojciech Samek, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 142

Showing 1-25 of 142 citing articles:

Unmasking Clever Hans predictors and assessing what machines really learn
Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 577
Layer-Wise Relevance Propagation: An Overview
Grégoire Montavon, Alexander Binder, Sebastian Lapuschkin, et al.
Lecture notes in computer science (2019), pp. 193-209
Closed Access | Times Cited: 558
Towards Explainable Artificial Intelligence
Wojciech Samek, Klaus‐Robert Müller
Lecture notes in computer science (2019), pp. 5-22
Closed Access | Times Cited: 436
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, et al.
Proceedings of the IEEE (2021) Vol. 109, Iss. 3, pp. 247-278
Open Access | Times Cited: 152
Assessment Methods of Post-stroke Gait: A Scoping Review of Technology-Driven Approaches to Gait Characterization and Analysis
Dhanya Menoth Mohan, Ahsan H. Khandoker, Sabahat A Wasti, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 107
CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations
Leila Arras, Ahmed Osman, Wojciech Samek
Information Fusion (2021) Vol. 81, pp. 14-40
Open Access | Times Cited: 104
Explaining the differences of gait patterns between high and low-mileage runners with machine learning
Datao Xu, Wenjing Quan, Huiyu Zhou, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 98
From Clustering to Cluster Explanations via Neural Networks
Jacob Kauffmann, Malte Esders, Lukas Ruff, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 2, pp. 1926-1940
Open Access | Times Cited: 84
AI‐Enabled Soft Sensing Array for Simultaneous Detection of Muscle Deformation and Mechanomyography for Metaverse Somatosensory Interaction
Jiao Suo, Yifan Liu, Jianfei Wang, et al.
Advanced Science (2024) Vol. 11, Iss. 16
Open Access | Times Cited: 20
Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks
Tiziana Lencioni, Ilaria Carpinella, Marco Rabuffetti, et al.
Scientific Data (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 128
Estimation of Gait Mechanics Based on Simulated and Measured IMU Data Using an Artificial Neural Network
Marion Mundt, Arnd Koeppe, Sina David, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 128
Towards Best Practice in Explaining Neural Network Decisions with LRP
Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-7
Open Access | Times Cited: 126
Prediction of Lower Limb Kinetics and Kinematics during Walking by a Single IMU on the Lower Back Using Machine Learning
Hyerim Lim, Bumjoon J. Kim, Sukyung Park
Sensors (2019) Vol. 20, Iss. 1, pp. 130-130
Open Access | Times Cited: 123
Explaining and Interpreting LSTMs
Leila Arras, Jose A. Arjona-Medina, Michael Widrich, et al.
Lecture notes in computer science (2019), pp. 211-238
Closed Access | Times Cited: 88
Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond
Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 74
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
Interpretable heartbeat classification using local model-agnostic explanations on ECGs
Inês Neves, Duarte Folgado, Sara Santos, et al.
Computers in Biology and Medicine (2021) Vol. 133, pp. 104393-104393
Open Access | Times Cited: 65
Supporting Artificial Social Intelligence With Theory of Mind
Jessica Williams, Stephen M. Fiore, Florian Jentsch
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 61
A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts
Robbin Romijnders, Elke Warmerdam, Clint Hansen, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3859-3859
Open Access | Times Cited: 40
Metaverse Wearables for Immersive Digital Healthcare: A Review
Kisoo Kim, Hyosill Yang, Ji-Hun Lee, et al.
Advanced Science (2023) Vol. 10, Iss. 31
Open Access | Times Cited: 38
A comparison of machine learning models’ accuracy in predicting lower-limb joints’ kinematics, kinetics, and muscle forces from wearable sensors
Shima Mohammadi Moghadam, Ted Yeung, Julie Choisne
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 36
The detection of age groups by dynamic gait outcomes using machine learning approaches
Yuhan Zhou, Robbin Romijnders, Clint Hansen, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 57
Gait Spatiotemporal Signal Analysis for Parkinson’s Disease Detection and Severity Rating
Abdullah Alharthi, Alexander J. Casson, Krikor Ozanyan
IEEE Sensors Journal (2020) Vol. 21, Iss. 2, pp. 1838-1848
Closed Access | Times Cited: 51
Lower Limb Kinematics Trajectory Prediction Using Long Short-Term Memory Neural Networks
Abdelrahman Zaroug, Daniel Lai, Kurt L. Mudie, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 50
MoveNet: A Deep Neural Network for Joint Profile Prediction Across Variable Walking Speeds and Slopes
Rishabh Bajpai, Deepak Joshi
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 48
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