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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:

Application of explainable artificial intelligence in the identification of Squamous Cell Carcinoma biomarkers
Jaishree Meena, Yasha Hasija
Computers in Biology and Medicine (2022) Vol. 146, pp. 105505-105505
Closed Access | Times Cited: 45

Showing 1-25 of 45 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: 201
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: 24
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: 55
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: 44
An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classification
Kountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106544-106544
Closed Access | Times Cited: 34
Decoding the black box: Explainable AI (XAI) for cancer diagnosis, prognosis, and treatment planning-A state-of-the art systematic review
Youssef Alaaeldin Ali Mohamed, Bee Luan Khoo, Mohd Shahrimie Mohd Asaari, et al.
International Journal of Medical Informatics (2024) Vol. 193, pp. 105689-105689
Closed Access | Times Cited: 9
Multi-Class Brain Tumor Grades Classification Using a Deep Learning-Based Majority Voting Algorithm and Its Validation Using Explainable-AI
Gopal S. Tandel, Ashish Tiwari, O. G. Kakde
Deleted Journal (2025)
Closed Access | Times Cited: 1
Current methods in explainable artificial intelligence and future prospects for integrative physiology
Bettina Finzel
Pflügers Archiv - European Journal of Physiology (2025)
Open Access | Times Cited: 1
Peripheral blood mononuclear cell derived biomarker detection using eXplainable Artificial Intelligence (XAI) provides better diagnosis of breast cancer
Sunil Kumar, Asmita Das
Computational Biology and Chemistry (2023) Vol. 104, pp. 107867-107867
Closed Access | Times Cited: 18
Explainable Artificial Intelligence Paves the Way in Precision Diagnostics and Biomarker Discovery for the Subclass of Diabetic Retinopathy in Type 2 Diabetics
Fatma Hilal Yağın, Şeyma Yaşar, Yasin Görmez, et al.
Metabolites (2023) Vol. 13, Iss. 12, pp. 1204-1204
Open Access | Times Cited: 18
Ensemble-based genetic algorithm explainer with automized image segmentation: A case study on melanoma detection dataset
Hossein Nematzadeh, José García-Nieto, Ismael Navas‐Delgado, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106613-106613
Open Access | Times Cited: 17
Interpretable machine learning for dermatological disease detection: Bridging the gap between accuracy and explainability
Yusra Nasir, Karuna Kadian, Arun Sharma, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108919-108919
Closed Access | Times Cited: 7
Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records
Chih-Wei Chung, Seng‐Cho T. Chou, Tzu‐Hung Hsiao, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 5
A human-interpretable machine learning pipeline based on ultrasound to support leiomyosarcoma diagnosis
Angela Lombardi, Francesca Arezzo, Eugenio Di Sciascio, et al.
Artificial Intelligence in Medicine (2023) Vol. 146, pp. 102697-102697
Closed Access | Times Cited: 11
Discovering novel prognostic biomarkers of hepatocellular carcinoma using eXplainable Artificial Intelligence
Elizabeth Gutierrez‐Chakraborty, Debaditya Chakraborty, Debodipta Das, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124239-124239
Open Access | Times Cited: 4
A latent diffusion approach to visual attribution in medical imaging
Ammar Ahmed Siddiqui, Santosh Tirunagari, Tehseen Zia, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Integrating Artificial Intelligence and Machine Learning for Folklore Preservation and Innovation
Rituparna Priyadarshini, Arpita Goswami, Sarvesh Vishwakarma, et al.
(2025), pp. 765-770
Closed Access
Bioinformatics investigation on blood-based gene expressions of Alzheimer's disease revealed ORAI2 gene biomarker susceptibility: An explainable artificial intelligence-based approach
Karthik Sekaran, Alsamman M. Alsamman, C. George Priya Doss, et al.
Metabolic Brain Disease (2023) Vol. 38, Iss. 4, pp. 1297-1310
Open Access | Times Cited: 10
Artificial intelligence for nonmelanoma skin cancer
Megan H. Trager, Emily R. Gordon, Alyssa Breneman, et al.
Clinics in Dermatology (2024) Vol. 42, Iss. 5, pp. 466-476
Closed Access | Times Cited: 3
Fair and explainable Myocardial Infarction (MI) prediction: Novel strategies for feature selection and class imbalance correction
Simon Bin Akter, Sumya Akter, Moon Das Tuli, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109413-109413
Closed Access | Times Cited: 3
A Feasibility Study of Diabetic Retinopathy Detection in Type II Diabetic Patients Based on Explainable Artificial Intelligence
B. Lalithadevi, S. Krishnaveni, J. Samuel Cornelius Gnanadurai
Journal of Medical Systems (2023) Vol. 47, Iss. 1
Closed Access | Times Cited: 9
Explainable Soft Attentive EfficientNet for breast cancer classification in histopathological images
Jyothi Peta, Srinivas Koppu
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105828-105828
Closed Access | Times Cited: 8
Genes selection using deep learning and explainable artificial intelligence for chronic lymphocytic leukemia predicting the need and time to therapy
Fortunato Morabito, Carlo Adornetto, Paola Monti, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 7
Dissecting Crucial Gene Markers Involved in HPV-Associated Oropharyngeal Squamous Cell Carcinoma from RNA-Sequencing Data through Explainable Artificial Intelligence
Karthik Sekaran, Rinku Polachirakkal Varghese, Shibu Krishnan, et al.
Frontiers in Bioscience-Landmark (2024) Vol. 29, Iss. 6, pp. 220-220
Open Access | Times Cited: 2
Exploring explainable AI features in the vocal biomarkers of lung disease
Chen Zhao, Ning Liang, Haoyuan Li, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108844-108844
Open Access | Times Cited: 2
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