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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:

Interpretability of Input Representations for Gait Classification in Patients after Total Hip Arthroplasty
Carlo Dindorf, Wolfgang Teufl, Bertram Taetz, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4385-4385
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Hui Wen Loh, Chui Ping Ooi, Silvia Seoni, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107161-107161
Open Access | Times Cited: 413
A Systematic Review of Explainable Artificial Intelligence in Terms of Different Application Domains and Tasks
Mir Riyanul Islam, Mobyen Uddin Ahmed, Shaibal Barua, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1353-1353
Open Access | Times Cited: 203
A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory
Augustin Degas, Mir Riyanul Islam, Christophe Hurter, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1295-1295
Open Access | Times Cited: 76
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
Explainable Artificial Intelligence and Wearable Sensor-Based Gait Analysis to Identify Patients with Osteopenia and Sarcopenia in Daily Life
Jeong-Kyun Kim, Myung‐Nam Bae, Kangbok Lee, et al.
Biosensors (2022) Vol. 12, Iss. 3, pp. 167-167
Open Access | Times Cited: 37
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
Remaining Useful Life Prognosis for Turbofan Engine Using Explainable Deep Neural Networks with Dimensionality Reduction
Chang Woo Hong, Changmin Lee, Kwangsuk Lee, et al.
Sensors (2020) Vol. 20, Iss. 22, pp. 6626-6626
Open Access | Times Cited: 59
A Clinically Interpretable Computer-Vision Based Method for Quantifying Gait in Parkinson’s Disease
Samuel Rupprechter, Gareth Morinan, Yuwei Peng, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5437-5437
Open Access | Times Cited: 52
eXplainable AI Allows Predicting Upper Limb Rehabilitation Outcomes in Sub-Acute Stroke Patients
Marialuisa Gandolfi, Ilaria Boscolo Galazzo, R. Pavan, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 1, pp. 263-273
Closed Access | Times Cited: 29
Skin cancer classification using explainable artificial intelligence on pre-extracted image features
Tarek Khater, Sam Ansari, Soliman A. Mahmoud, et al.
Intelligent Systems with Applications (2023) Vol. 20, pp. 200275-200275
Open Access | Times Cited: 20
XAI-based Clinical Decision Support System: A Systematic Review
SeYoung Kim, Daeho Kim, Minji Kim, et al.
(2024)
Open Access | Times Cited: 6
Novel Deep Learning Method in Hip Osteoarthritis Investigation Before and After Total Hip Arthroplasty
Roel Pantonial, Milan Simić
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 872-872
Open Access
SpaCE: a spatial counterfactual explainable deep learning model for predicting out-of-hospital cardiac arrest survival outcome
Jielu Zhang, Lan Mu, Donglan Zhang, et al.
International Journal of Geographical Information Science (2025), pp. 1-32
Closed Access
Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI)
Carlo Dindorf, Jürgen Konradi, Claudia Wolf, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 6323-6323
Open Access | Times Cited: 39
Identification of Patients with Sarcopenia Using Gait Parameters Based on Inertial Sensors
Jeong-Kyun Kim, Myung‐Nam Bae, Kang Bok Lee, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1786-1786
Open Access | Times Cited: 34
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
Web-based machine learning application for interpretable prediction of prolonged length of stay after lumbar spinal stenosis surgery: a retrospective cohort study with explainable AI
Paierhati Yasheng, Alimujiang Yusufu, Yusfu Yimiti, et al.
Frontiers in Physiology (2025) Vol. 16
Open Access
Predicting Severe Knee Arthritis Based on Two Inertial Measurement Unit Sensors as a Dynamic Coordinate System Using Classical Machine Learning
Erfan Azizi, Mohammadsadegh Darbankhalesi, Amirhossein Zare, et al.
Journal of Medical Signals & Sensors (2025) Vol. 15, Iss. 3
Open Access
Efficacy and Applications of Artificial Intelligence and Machine Learning Analyses in Total Joint Arthroplasty
Evan M. Polce, Kyle N. Kunze, Matthew S. Dooley, et al.
Journal of Bone and Joint Surgery (2022) Vol. 104, Iss. 9, pp. 821-832
Closed Access | Times Cited: 21
Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome
Yan Zhang, Xiaoxu Zhang, Jaina Razbek, et al.
BMC Endocrine Disorders (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 21
Beyond Supervised Learning for Pervasive Healthcare
Xiao Gu, Fani Deligianni, Jinpei Han, et al.
IEEE Reviews in Biomedical Engineering (2023) Vol. 17, pp. 42-62
Open Access | Times Cited: 12
A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data
Raphael Oliveira, David Martens
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7274-7274
Open Access | Times Cited: 25
Concerns surrounding application of artificial intelligence in hip and knee arthroplasty
Teja S. Polisetty, Samagra Jain, Michael Pang, et al.
The Bone & Joint Journal (2022) Vol. 104-B, Iss. 12, pp. 1292-1303
Closed Access | Times Cited: 18
Burns Depth Assessment Using Deep Learning Features
Aliyu Abubakar, Hassan Ugail, Kirsty Smith, et al.
Journal of Medical and Biological Engineering (2020) Vol. 40, Iss. 6, pp. 923-933
Open Access | Times Cited: 24
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