Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 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

Showing 1-25 of 44 citing articles:

A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends
A. Saranya, R. Subhashini
Decision Analytics Journal (2023) Vol. 7, pp. 100230-100230
Open Access | Times Cited: 182
The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review
Subhan Ali, Filza Akhlaq, Ali Shariq Imran, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107555-107555
Open Access | Times Cited: 102
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
Explainable Artificial Intelligence in Alzheimer’s Disease Classification: A Systematic Review
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 1-44
Open Access | Times Cited: 42
Explainable AI approaches in deep learning: Advancements, applications and challenges
Md. Tanzib Hosain, Jamin Rahman Jim, M. F. Mridha, et al.
Computers & Electrical Engineering (2024) Vol. 117, pp. 109246-109246
Closed Access | Times Cited: 16
A Large Comparison of Normalization Methods on Time Series
Felipe Tomazelli Lima, Vinícius M. A. Souza
Big Data Research (2023) Vol. 34, pp. 100407-100407
Closed Access | Times Cited: 35
Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach
Md Sanzid Bin Hossain, Zhishan Guo, Hwan Choi
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 6, pp. 2829-2840
Open Access | Times Cited: 23
Explainable AI for time series via Virtual Inspection Layers
Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, et al.
Pattern Recognition (2024) Vol. 150, pp. 110309-110309
Open Access | Times Cited: 10
AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark
Sören Becker, Johanna Vielhaben, Marcel R. Ackermann, et al.
Journal of the Franklin Institute (2023) Vol. 361, Iss. 1, pp. 418-428
Open Access | Times Cited: 17
Perspectives of Artificial Intelligence in Training and Exercise
Arnold Baca
Springer optimization and its applications (2025), pp. 265-274
Closed Access
Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery
Spandana Rajendra Kopalli, Madhu Shukla, B Jayaprakash, et al.
Neuroscience (2025)
Closed Access
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
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
Enhancing gait pattern analysis with deep learning on image data
Manoj Kumar, Devendra Kumar Mishra, Vijay Bhaskar Semwal, et al.
AIP conference proceedings (2025) Vol. 3262, pp. 020018-020018
Closed Access
Automated seismic event detection considering faulty data interference using deep learning and Bayesian fusion
Zhiyi Tang, Jiaxing Guo, Ke Wang, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 3
Characterization of Knee and Gait Features From a Wearable Tele-Health Monitoring System
Abu Ilius Faisal, Tapas Mondal, David Cowan, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 6, pp. 4741-4753
Closed Access | Times Cited: 12
Explainable Machine Learning in Human Gait Analysis: A Study on Children With Cerebral Palsy
Djordje Slijepčević, Matthias Zeppelzauer, Fabian Unglaube, et al.
IEEE Access (2023) Vol. 11, pp. 65906-65923
Open Access | Times Cited: 7
Application of Explainable Artificial Intelligence in Alzheimer's Disease Classification: A Systematic Review
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 6
Identification of subject-specific responses to footwear during running
Fabian Horst, Fabian Hoitz, Djordje Slijepčević, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
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
Biomechanical gait analysis in sheep: kinematic parameters
Bruna Silva, Filipa João, Sandra Amado, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 1
Automatic Gait Gender Classification Using Convolutional Neural Networks
Lavanya Srinivasan
(2023), pp. 34-40
Closed Access | Times Cited: 4
On the Explanation of AI-Based Student Success Prediction
Farzana Afrin, Margaret Hamilton, Charles Thevathyan
Lecture notes in computer science (2022), pp. 252-258
Closed Access | Times Cited: 4
Unveiling individuality in the early phase of motor learning: a machine learning approach for analysing weightlifting technique in novices
Achraf Ammar, Marvin Simak, Atef Salem, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access
Page 1 - Next Page

Scroll to top