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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:

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102470-102470
Open Access | Times Cited: 626

Showing 26-50 of 626 citing articles:

Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions
William Lotter, Michael J. Hassett, Nikolaus Schultz, et al.
Cancer Discovery (2024) Vol. 14, Iss. 5, pp. 711-726
Open Access | Times Cited: 27
Slideflow: deep learning for digital histopathology with real-time whole-slide visualization
James M. Dolezal, Sara Kochanny, Emma Dyer, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 24
A review on machine learning techniques for secured cyber-physical systems in smart grid networks
Mohammad Kamrul Hasan, Rabiu Aliyu Abdulkadir, Shayla Islam, et al.
Energy Reports (2024) Vol. 11, pp. 1268-1290
Open Access | Times Cited: 23
Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare
Niyaz Ahmad Wani, Ravinder Kumar, ­ Mamta, et al.
Information Fusion (2024) Vol. 110, pp. 102472-102472
Closed Access | Times Cited: 23
The Promise of Explainable AI in Digital Health for Precision Medicine: A Systematic Review
Ben Allen
Journal of Personalized Medicine (2024) Vol. 14, Iss. 3, pp. 277-277
Open Access | Times Cited: 18
Artificial intelligence and endo-histo-omics: new dimensions of precision endoscopy and histology in inflammatory bowel disease
Marietta Iacucci, Giovanni Santacroce, Irene Zammarchi, et al.
˜The œLancet. Gastroenterology & hepatology (2024) Vol. 9, Iss. 8, pp. 758-772
Open Access | Times Cited: 15
Co-pyrolysis of biomass and plastic wastes and application of machine learning for modelling of the process: A comprehensive review
Deepak Bhushan, Sanjeevani Hooda, Prasenjit Mondal
Journal of the Energy Institute (2025) Vol. 119, pp. 101973-101973
Closed Access | Times Cited: 2
Towards symbolic XAI – explanation through human understandable logical relationships between features
Thomas Schnake, Farnoush Rezaei Jafari, Jonas Lederer, et al.
Information Fusion (2025), pp. 102923-102923
Open Access | Times Cited: 1
Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It
Yasir Hafeez, Khuhed Memon, Maged S. Al-Quraishi, et al.
Diagnostics (2025) Vol. 15, Iss. 2, pp. 168-168
Open Access | Times Cited: 1
Deciphering Immunometabolic Landscape in Rheumatoid Arthritis: Integrative Multiomics, Explainable Machine Learning and Experimental Validation
Qiu Dong, Jiayang Wu, Huaguo Zhang, et al.
Journal of Inflammation Research (2025) Vol. Volume 18, pp. 637-652
Open Access | Times Cited: 1
A Comprehensive Survey of Deep Learning Approaches in Image Processing
Μαρία Τρίγκα, Ηλίας Δρίτσας
Sensors (2025) Vol. 25, Iss. 2, pp. 531-531
Open Access | Times Cited: 1
The need for balancing ’black box’ systems and explainable artificial intelligence: A necessary implementation in radiology
Fabio De‐Giorgio, Beatrice Benedetti, Matteo Mancino, et al.
European Journal of Radiology (2025) Vol. 185, pp. 112014-112014
Open Access | Times Cited: 1
Memory-aware curriculum federated learning for breast cancer classification
Amelia Jiménez-Sánchez, Mickael Tardy, Miguel Á. González Ballester, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107318-107318
Open Access | Times Cited: 67
A Survey on Medical Explainable AI (XAI): Recent Progress, Explainability Approach, Human Interaction and Scoring System
Ruey‐Kai Sheu, Mayuresh Sunil Pardeshi
Sensors (2022) Vol. 22, Iss. 20, pp. 8068-8068
Open Access | Times Cited: 64
A Deep Learning Approach Based on Explainable Artificial Intelligence for Skin Lesion Classification
Natasha Nigar, Muhammad Umar, Muhammad Kashif Shahzad, et al.
IEEE Access (2022) Vol. 10, pp. 113715-113725
Open Access | Times Cited: 55
Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture
Lionel Joseph, Erica A. Joseph, Ramendra Prasad
Computers in Biology and Medicine (2022) Vol. 151, pp. 106178-106178
Closed Access | Times Cited: 51
Utilization of model-agnostic explainable artificial intelligence frameworks in oncology: a narrative review
Colton Ladbury, Reza Zarinshenas, Hemal Semwal, et al.
Translational Cancer Research (2022) Vol. 11, Iss. 10, pp. 3853-3868
Open Access | Times Cited: 43
Deep learning generates synthetic cancer histology for explainability and education
James M. Dolezal, Rachelle Wolk, Hanna M. Hieromnimon, et al.
npj Precision Oncology (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 39
Exploring the Capabilities of a Lightweight CNN Model in Accurately Identifying Renal Abnormalities: Cysts, Stones, and Tumors, Using LIME and SHAP
Mohan Bhandari, Pratheepan Yogarajah, Muthu Subash Kavitha, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3125-3125
Open Access | Times Cited: 35
BotanicX-AI: Identification of Tomato Leaf Diseases Using an Explanation-Driven Deep-Learning Model
Mohan Bhandari, Tej Bahadur Shahi, Arjun Neupane, et al.
Journal of Imaging (2023) Vol. 9, Iss. 2, pp. 53-53
Open Access | Times Cited: 34
Explainable Deep Learning Methods in Medical Image Classification: A Survey
Cristiano Patrício, João C. Neves, Luís F. Teixeira
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-41
Open Access | Times Cited: 34
Histopathological Analysis for Detecting Lung and Colon Cancer Malignancies Using Hybrid Systems with Fused Features
Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, et al.
Bioengineering (2023) Vol. 10, Iss. 3, pp. 383-383
Open Access | Times Cited: 31
An Empirical Survey on Explainable AI Technologies: Recent Trends, Use-Cases, and Categories from Technical and Application Perspectives
Mohammad Nagahisarchoghaei, Nasheen Nur, Logan Cummins, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1092-1092
Open Access | Times Cited: 29
Enhancing lung abnormalities detection and classification using a Deep Convolutional Neural Network and GRU with explainable AI: A promising approach for accurate diagnosis
Md Khairul Islam, Mahbubur Rahman, Md Shahin Ali, et al.
Machine Learning with Applications (2023) Vol. 14, pp. 100492-100492
Open Access | Times Cited: 28
GastroNet: A robust attention‐based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images
Muhammad Nouman Noor, Muhammad Nazir, Imran Ashraf, et al.
CAAI Transactions on Intelligence Technology (2023)
Open Access | Times Cited: 26

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