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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:

Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI
Mohan Bhandari, Tej Bahadur Shahi, Birat Siku, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106156-106156
Open Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques
Tej Bahadur Shahi, Cheng‐Yuan Xu, Arjun Neupane, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2450-2450
Open Access | Times Cited: 113
Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Neurocomputing (2024) Vol. 577, pp. 127317-127317
Open Access | Times Cited: 52
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: 46
Face Mask Detection in Smart Cities Using Deep and Transfer Learning: Lessons Learned from the COVID-19 Pandemic
Yassine Himeur, Somaya Al‐Maadeed, Iraklis Varlamis, et al.
Systems (2023) Vol. 11, Iss. 2, pp. 107-107
Open Access | Times Cited: 43
A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Sunil Kumar, Harish Kumar, Gyanendra Kumar, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 21
A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP)
Md. Nahiduzzaman, Lway Faisal Abdulrazak, Mohamed Arselene Ayari, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123392-123392
Closed Access | Times Cited: 15
An Automated Waste Classification System Using Deep Learning Techniques: Toward Efficient Waste Recycling and Environmental Sustainability
Md. Nahiduzzaman, Md. Faysal Ahamed, Mansura Naznine, et al.
Knowledge-Based Systems (2025), pp. 113028-113028
Open Access | Times Cited: 2
PoxNet22: A Fine-Tuned Model for the Classification of Monkeypox Disease Using Transfer Learning
Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, et al.
IEEE Access (2023) Vol. 11, pp. 24053-24076
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
Joint Diagnosis of Pneumonia, COVID-19, and Tuberculosis from Chest X-ray Images: A Deep Learning Approach
Mohammed Salih Ahmed, Atta Rahman, Faris AlGhamdi, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2562-2562
Open Access | Times Cited: 30
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
Explainable deep learning model for automatic mulberry leaf disease classification
Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdus Salam, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 26
Multi-Techniques for Analyzing X-ray Images for Early Detection and Differentiation of Pneumonia and Tuberculosis Based on Hybrid Features
Ibrahim Abdulrab Ahmed, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 814-814
Open Access | Times Cited: 22
OPT-CO: Optimizing pre-trained transformer models for efficient COVID-19 classification with stochastic configuration networks
Ziquan Zhu, Lu Liu, Robert C. Free, et al.
Information Sciences (2024) Vol. 680, pp. 121141-121141
Open Access | Times Cited: 13
Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI
Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124908-124908
Open Access | Times Cited: 12
Enhancing lung abnormalities diagnosis using hybrid DCNN-ViT-GRU model with explainable AI: A deep learning approach
Md Khairul Islam, Md Mahbubur Rahman, Md Shahin Ali, et al.
Image and Vision Computing (2024) Vol. 142, pp. 104918-104918
Closed Access | Times Cited: 11
Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
Mohammed A. A. Al‐qaness, Jie Zhu, Dalal AL-Alimi, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3267-3301
Closed Access | Times Cited: 9
Enhancing the detection of airway disease by applying deep learning and explainable artificial intelligence
Apeksha Koul, Rajesh K. Bawa, Yogesh Kumar
Multimedia Tools and Applications (2024) Vol. 83, Iss. 31, pp. 76773-76805
Closed Access | Times Cited: 8
A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images
Md. Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Using the Regression Slope of Training Loss to Optimize Chest X-ray Generation in Deep Convolutional Generative Adversarial Networks
Chih‐Hsiung Chen, Kuang-Yu Hsieh, Kuo-En Huang, et al.
Cureus (2025)
Open Access | Times Cited: 1
Optimized Double Transformer Residual Super-resolution Network-based X-ray Images for Classification of Pneumonia Identification
G. Jerald Prasath, M. S., V. Valli Mayil, et al.
Knowledge-Based Systems (2025), pp. 113037-113037
Closed Access | Times Cited: 1
The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions
Razan Alkhanbouli, Hour Matar Abdulla Almadhaani, Farah Alhosani, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Explainable artificial intelligence to increase transparency for revolutionizing healthcare ecosystem and the road ahead
Sudipta Roy, Debojyoti Pal, Tanushree Meena
Network Modeling Analysis in Health Informatics and Bioinformatics (2023) Vol. 13, Iss. 1
Closed Access | Times Cited: 18
A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging
Mélanie Champendal, Henning Müller, John O. Prior, et al.
European Journal of Radiology (2023) Vol. 169, pp. 111159-111159
Open Access | Times Cited: 17
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