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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:

A Series-Based Deep Learning Approach to Lung Nodule Image Classification
Mehmet Ali Balcı, Larissa M. Batrancea, Ömer Akgüller, et al.
Cancers (2023) Vol. 15, Iss. 3, pp. 843-843
Open Access | Times Cited: 21

Showing 21 citing articles:

Deep learning approach for brain tumor classification using metaheuristic optimization with gene expression data
Amol Avinash Joshi, Rabia Musheer Aziz
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 2
Closed Access | Times Cited: 33
RETRACTED ARTICLE: An early prediction and classification of lung nodule diagnosis on CT images based on hybrid deep learning techniques
Vijay Kumar Gugulothu, Sai A. Balaji
Multimedia Tools and Applications (2023) Vol. 83, Iss. 1, pp. 1041-1061
Open Access | Times Cited: 24
Editorial: Recent Advances in Deep Learning and Medical Imaging for Cancer Treatment
Muhammad Fazal Ijaz, Marcin Woźniak
Cancers (2024) Vol. 16, Iss. 4, pp. 700-700
Open Access | Times Cited: 5
Deep Learning Based Ensemble Model for Pulmonary Cancer Segmentation in CT Images
Manju Dabass, Jitender Singh Virk, Anuj Chandaliya, et al.
Lecture notes in networks and systems (2025), pp. 219-231
Closed Access
Analysis on grading of lung nodule images with segmentation using u-net and classification with Convolutional Neural Network Fish Swarm Optimization
Sudha Radhika, K.M. Uma Maheswari
Journal of Applied Biomedicine (2025) Vol. 45, Iss. 1, pp. 90-104
Closed Access
Effective Deep Learning-Based Methodology for Cancer Classification in Lung CT Images
Manju Dabass, Jitender Singh Virk, Anuj Chandaliya, et al.
Algorithms for intelligent systems (2025), pp. 373-385
Closed Access
Automated pulmonary nodule classification from low-dose CT images using ERBNet: an ensemble learning approach
Yashar Ahmadyar, Alireza Kamali‐Asl, Rezvan Samimi, et al.
Medical & Biological Engineering & Computing (2025)
Open Access
Automated engineered-stone silicosis screening and staging using Deep Learning with X-rays
Blanca Priego, Daniel Morillo, Ebrahim Khalili, et al.
Computers in Biology and Medicine (2025) Vol. 191, pp. 110153-110153
Open Access
EDTNet: A spatial aware attention-based transformer for the pulmonary nodule segmentation
Dhirendra Prasad Yadav, Bhisham Sharma, Julian Webber, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0311080-e0311080
Open Access | Times Cited: 3
Quantum-enhanced hybrid feature engineering in thoracic CT image analysis for state-of-the-art nodule classification: an advanced lung cancer assessment
Resham Raj Shivwanshi, Neelamshobha Nirala
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 4, pp. 045005-045005
Closed Access | Times Cited: 2
Effective deep learning approach for segmentation of pulmonary cancer in thoracic CT image
Chitra Thangavel, P. Jaganathan
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105804-105804
Closed Access | Times Cited: 4
Proficiency evaluation of shape and WPT radiomics based on machine learning for CT lung cancer prognosis
Arooj Nissar, Ajaz Hussain Mir
The Egyptian Journal of Radiology and Nuclear Medicine (2024) Vol. 55, Iss. 1
Open Access | Times Cited: 1
A lung biopsy path planning algorithm based on the double spherical constraint Pareto and indicators’ importance-correlation degree
Hui Yang, Yu Zhang, Yuhang Gong, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 117, pp. 102426-102426
Closed Access | Times Cited: 1
Stacked workpieces detection algorithm based on improved YOLOv5
Jianan Liang, Jinhua Zhang, Ruiling Kong, et al.
Journal of the Chinese Institute of Engineers (2024) Vol. 47, Iss. 5, pp. 544-555
Closed Access
Prognostic prediction model for esophageal cancer based on probability membrane systems
Suxia Jiang, H. Li, Yanfeng Wang, et al.
Journal of Membrane Computing (2024)
Closed Access
DRL-SLAM: Enhanced Object Detection Fusion with Improved YOLOv8
Farooq Usman, Chaoxia Shi, Yanqing Wang
IFIP advances in information and communication technology (2024), pp. 257-272
Closed Access
A systematic review on feature extraction methods and deep learning models for detection of cancerous lung nodules at an early stage –The Recent trends and challenges
P Mathumetha, R. Sivakumar, Ananthakrishna Chintanpalli
Biomedical Physics & Engineering Express (2024) Vol. 11, Iss. 1, pp. 012001-012001
Closed Access
An Efficient Model for Lung Cancer Detection through the Integration of Genetic Algorithm and Machine Learning
Abdulaziz A. Alsulami
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 6, pp. 18792-18798
Open Access
An intelligent generative adversarial network multistage lung cancer detection and subtypes classification
Mattakoyya Aharonu, Lokesh Kumar Ramasamy
International Journal of Machine Learning and Cybernetics (2024)
Closed Access
A Histopathological Image Classification Method Based on Model Fusion in the Weight Space
Gang Zhang, Zhi-Fei Lai, Yiqun Chen, et al.
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7009-7009
Open Access | Times Cited: 1
An intelligent lung nodule segmentation framework for early detection of lung cancer using an optimized deep neural system
Manikanth Budati, Rajasekhar Karumuri
Multimedia Tools and Applications (2023) Vol. 83, Iss. 12, pp. 34153-34174
Closed Access | Times Cited: 1
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