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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 CAD System for Lung Cancer Detection Using Hybrid Deep Learning Techniques
Ahmed A. Alsheikhy, Yahia Said, Tawfeeq Shawly, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1174-1174
Open Access | Times Cited: 21

Showing 21 citing articles:

A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Hari Mohan, Joon Yoo
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 14365-14408
Closed Access | Times Cited: 19
Machine Learning‐Based Lung Cancer Detection Using Multiview Image Registration and Fusion
Imran Nazir, Ihsan Ul Haq, Salman A. AlQahtani, et al.
Journal of Sensors (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 16
A Holistic Approach to Implementing Artificial Intelligence in Lung Cancer
Seyed Masoud HaghighiKian, Ahmad Shirinzadeh-Dastgiri, Mohammad Vakili-Ojarood, et al.
Indian Journal of Surgical Oncology (2024) Vol. 16, Iss. 1, pp. 257-278
Closed Access | Times Cited: 6
Attention-guided CenterNet deep learning approach for lung cancer detection
Hussain Dawood, Marriam Nawaz, Muhammad Ilyas, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109613-109613
Closed Access
Enhancing Clinical Outcomes Using Deep Learning Solution for Accurate Lung Cancer Classification
Aditya Shastri, Yash Prajapati, Harsh Katariya, et al.
Sensing and Imaging (2025) Vol. 26, Iss. 1
Closed Access
Deep Learning Innovations in the Detection of Lung Cancer: Advances, Trends, and Open Challenges
Helena Liz, Áurea Anguera de Sojo-Hernández, Sergio D’Antonio Maceiras, et al.
Cognitive Computation (2025) Vol. 17, Iss. 2
Open Access
Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
Closed Access
Lung tumor cell classification with lightweight mobileNetV2 and attention-based SCAM enhanced faster R-CNN
V. Nisha Jenipher, S. Radhika
Evolving Systems (2024) Vol. 15, Iss. 4, pp. 1381-1398
Closed Access | Times Cited: 2
Nodule Detection Using Local Binary Pattern Features to Enhance Diagnostic Decisions
Umar Rashid, Arfan Jaffar, Muhammad Rashid, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 3, pp. 3377-3390
Open Access | Times Cited: 1
Enhancing lung lesion localization in CT-scans: a novel approach using FE_CXY and statistical analysis
Nurul Najiha Jafery, Siti Noraini Sulaiman, Muhammad Khusairi Osman, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 34, Iss. 2, pp. 913-913
Open Access | Times Cited: 1
A depth analysis of recent innovations in non-invasive techniques using artificial intelligence approach for cancer prediction
Hari Mohan, Joon Yoo, Abdul Razaque
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 12, pp. 3555-3580
Closed Access | Times Cited: 1
Enhanced Lung Nodule Segmentation using Dung Beetle Optimization based LNS-DualMAGNet Model
K. Sathyamoorthy, S Ravikumar
International Research Journal of Multidisciplinary Technovation (2024), pp. 65-81
Open Access
Synergistic Fusion of U-Net and DeepLabV3+ for Enhanced Lung Disease Segmentation: A Comprehensive Evaluation and Performance Analysis
Rakhi Gangal, Avneesh Kumar, Prashant Johri, et al.
(2024), pp. 1919-1924
Closed Access
Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database
Shogo Kodera, Wahyu Rahmaniar, Hiroko Oshibe, et al.
(2024), pp. 213-220
Closed Access
Performance Analysis and Classification of Lung Cancer types Using Machine learning
M Prakasha Raje Urs, G N K Suresh Babu
(2024), pp. 1-5
Closed Access
Developing a 3D Segmentation Technique by a Region-Growing Algorithm of CT Scan Lung Images
Elaf J. Al Taee
Revue d intelligence artificielle (2024) Vol. 38, Iss. 4, pp. 1327-1333
Open Access
Research advances in tumor diagnosis and early detection
Rodney Bradly
Asia-Pacific Journal of Oncology (2024), pp. 55-65
Open Access
A Novel Approach for Lung Cancer Segmentation and Classification Using MSF-Customized ResNet152
K. Suresh, H. Faheem Nikhat, S. Poonkodi, et al.
IETE Journal of Research (2024), pp. 1-13
Closed Access
Multimodal Diagnostics of Changes in Rat Lungs after Vaping
Irina Yu. Yanina, Vadim D. Genin, Elina A. Genina, et al.
Diagnostics (2023) Vol. 13, Iss. 21, pp. 3340-3340
Open Access | Times Cited: 1
Improved Lung Lesion Localization in Ct Scan Images: A Statistical Approach for Enhanced Detection
Nurul Najiha Jafery, Siti Noraini Sulaiman, Muhammad Khusairi Osman, et al.
(2023)
Closed Access
Detection and Robust Classification of Lung Cancer Disease Using Hybrid Deep Learning Approach
K Ram Prasanna, R.Vijaya Kumar, G. Mohanbabu, et al.
(2023), pp. 1-6
Closed Access
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