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:

Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram
M. Ganeshkumar, Vinayakumar Ravi, V. Sowmya, et al.
IEEE Transactions on Engineering Management (2021) Vol. 70, Iss. 8, pp. 2787-2799
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Photoplethysmogram Analysis and Applications: An Integrative Review
Junyung Park, Hyeon Seok Seok, Sang-Su Kim, et al.
Frontiers in Physiology (2022) Vol. 12
Open Access | Times Cited: 185

LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
Khiem H. Le, Hieu H. Pham, Thao Nguyen, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104963-104963
Open Access | Times Cited: 27

Cardiovascular Diseases
Sabyasachi Pramanik, Alex Khang
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 274-287
Closed Access | Times Cited: 13

Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 10

Building an Explainable Diagnostic Classification Model for Brain Tumor using Discharge Summaries
Priyanka C. Nair, Deepa Gupta, Bhagavatula Indira Devi, et al.
Procedia Computer Science (2023) Vol. 218, pp. 2058-2070
Open Access | Times Cited: 18

Explainable Artificial Intelligence: Counterfactual Explanations for Risk-Based Decision-Making in Construction
Jianjiang Zhan, Weili Fang, Peter E.D. Love, et al.
IEEE Transactions on Engineering Management (2024) Vol. 71, pp. 10667-10685
Closed Access | Times Cited: 6

Reviewing CAM-Based Deep Explainable Methods in Healthcare
Dan Tang, J.J. Chen, Lijuan Ren, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4124-4124
Open Access | Times Cited: 6

An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning
Chong Wang, Yuanhong Chen, Fengbei Liu, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 392-404
Closed Access | Times Cited: 14

Explainable Transfer Learning for Modeling and Assessing Risks in Tunnel Construction
Hanbin Luo, Jialin Chen, Peter E.D. Love, et al.
IEEE Transactions on Engineering Management (2024) Vol. 71, pp. 8339-8355
Closed Access | Times Cited: 5

A Comparative Study and Systematic Analysis of XAI Models and their Applications in Healthcare
Jyoti Gupta, K. R. Seeja
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 5

A review of evaluation approaches for explainable AI with applications in cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 5

Multi-modality image fusion for medical assistive technology management based on hybrid domain filtering
Bhawna Goyal, Ayush Dogra, Dawa Chyophel Lepcha, et al.
Expert Systems with Applications (2022) Vol. 209, pp. 118283-118283
Closed Access | Times Cited: 19

Paving the Roadmap for XAI and IML in Healthcare: Data-Driven Discoveries and the FIXAIH Framework
Saeed M. Alghamdi, Rashid Mehmood, Fahad Alqurashi, et al.
(2025)
Closed Access

Detection of Atrial Fibrillation in Holter ECG Recordings by ECHOView Images: A Deep Transfer Learning Study
Vessela Krasteva, Todor Stoyanov, Stefan Naydenov, et al.
Diagnostics (2025) Vol. 15, Iss. 7, pp. 865-865
Open Access

A multi-label deep residual shrinkage network for high-density surface electromyography decomposition in real-time
Jinting Ma, Lifen Wang, Renxiang Wu, et al.
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access

Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions
A. Noor, Awais Manzoor, Muhammad Deedahwar Mazhar Qureshi, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 2
Open Access

Intelligent Support for Cardiovascular Diagnosis
Poomari Durga. K
Advances in media, entertainment and the arts (AMEA) book series (2024), pp. 64-76
Closed Access | Times Cited: 2

Data-Driven Energy Management of an Electric Vehicle Charging Station Using Deep Reinforcement Learning
G. S. Asha Rani, P. S. Lal Priya, Jino Jayan, et al.
IEEE Access (2024) Vol. 12, pp. 65956-65966
Open Access | Times Cited: 2

Enhancing Fake Image Detection: A Novel Two-Step Approach Combining GANs and CNNs
P Sadhana, Nandhitha Ravishankar, Amruth Ashok, et al.
Procedia Computer Science (2024) Vol. 235, pp. 810-819
Open Access | Times Cited: 2

Interpretable Machine Learning Model for Breast Cancer Prediction Using LIME and SHAP
B. Uma Maheswari, A Aaditi, Ananya Avvaru, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access | Times Cited: 2

Towards explainability in artificial intelligence frameworks for heartcare: A comprehensive survey
M. U. Sreeja, Abin Oommen Philip, M. H. Supriya
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 6, pp. 102096-102096
Open Access | Times Cited: 2

Explainable Artificial Intelligence for Medical Applications: A Review
Qiyang Sun, Alican Akman, Björn W. Schuller
ACM Transactions on Computing for Healthcare (2024)
Open Access | Times Cited: 2

Interpatient ECG Arrhythmia Detection by Residual Attention CNN
Pengyao Xu, Hui Liu, Xiaoyun Xie, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 10

A Review on Explainable Artificial Intelligence Methods, Applications, and Challenges
Belghachi Mohammed
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) (2023) Vol. 11, Iss. 4
Open Access | Times Cited: 6

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