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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:

Optimal deep learning model for classification of lung cancer on CT images
Lakshmanaprabu S.K., Sachi Nandan Mohanty, K. Shankar, et al.
Future Generation Computer Systems (2018) Vol. 92, pp. 374-382
Closed Access | Times Cited: 446

Showing 1-25 of 446 citing articles:

A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images
Md. Zabirul Islam, Md. Milon Islam, Amanullah Asraf
Informatics in Medicine Unlocked (2020) Vol. 20, pp. 100412-100412
Open Access | Times Cited: 564
A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2
Mohammad Rahimzadeh, Abolfazl Attar
Informatics in Medicine Unlocked (2020) Vol. 19, pp. 100360-100360
Open Access | Times Cited: 324
Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model
K. Shankar, Abdul Rahaman Wahab Sait, Deepak Gupta, et al.
Pattern Recognition Letters (2020) Vol. 133, pp. 210-216
Open Access | Times Cited: 253
A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection
Negar Maleki, Yasser Zeinali, Seyed Taghi Akhavan Niaki
Expert Systems with Applications (2020) Vol. 164, pp. 113981-113981
Closed Access | Times Cited: 215
Optimal Feature Selection-Based Medical Image Classification Using Deep Learning Model in Internet of Medical Things
R. Joshua Samuel Raj, S. Shobana, Irina V. Pustokhina, et al.
IEEE Access (2020) Vol. 8, pp. 58006-58017
Open Access | Times Cited: 208
Deep neural network correlation learning mechanism for CT brain tumor detection
Marcin Woźniak, Jakub Siłka, Michał Wieczorek
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14611-14626
Open Access | Times Cited: 184
Optimal bilateral filter and Convolutional Neural Network based denoising method of medical image measurements
Mohamed Elhoseny, K. Shankar
Measurement (2019) Vol. 143, pp. 125-135
Closed Access | Times Cited: 174
Artificial Intelligence-Based Mitosis Detection in Breast Cancer Histopathology Images Using Faster R-CNN and Deep CNNs
Tahir Mahmood, Muhammad Arsalan, Muhammad Owais, et al.
Journal of Clinical Medicine (2020) Vol. 9, Iss. 3, pp. 749-749
Open Access | Times Cited: 166
Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities
Arshia Rehman, Saeeda Naz, Imran Razzak
Multimedia Systems (2021) Vol. 28, Iss. 4, pp. 1339-1371
Closed Access | Times Cited: 159
Deep learning model for real-time image compression in Internet of Underwater Things (IoUT)
N. Krishnaraj, Mohamed Elhoseny, M. Thenmozhi, et al.
Journal of Real-Time Image Processing (2019) Vol. 17, Iss. 6, pp. 2097-2111
Closed Access | Times Cited: 155
Machine Learning in oncology: A clinical appraisal
Renato Cuocolo, Martina Caruso, Teresa Perillo, et al.
Cancer Letters (2020) Vol. 481, pp. 55-62
Closed Access | Times Cited: 154
A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
Goram Mufarah M. Alshmrani, Qiang Ni, Richard Jiang, et al.
Alexandria Engineering Journal (2022) Vol. 64, pp. 923-935
Open Access | Times Cited: 131
IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification
Dac‐Nhuong Le, Velmurugan Subbiah Parvathy, Deepak Gupta, et al.
International Journal of Machine Learning and Cybernetics (2021) Vol. 12, Iss. 11, pp. 3235-3248
Open Access | Times Cited: 115
Deep Learning Techniques to Diagnose Lung Cancer
Lulu Wang
Cancers (2022) Vol. 14, Iss. 22, pp. 5569-5569
Open Access | Times Cited: 107
On the performance of lung nodule detection, segmentation and classification
Dongdong Gu, Guocai Liu, Zhong Xue
Computerized Medical Imaging and Graphics (2021) Vol. 89, pp. 101886-101886
Closed Access | Times Cited: 101
Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward
Eyad Elyan, Pattaramon Vuttipittayamongkol, Pamela Johnston, et al.
Artificial Intelligence Surgery (2022)
Open Access | Times Cited: 88
Lung Cancer Classification and Prediction Using Machine Learning and Image Processing
Sharmila Nageswaran, G. Arunkumar, Anil Kumar Bisht, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 85
Detection and classification of lung cancer computed tomography images using a novel improved deep belief network with Gabor filters
Ebtasam Ahmad Siddiqui, Vijayshri Chaurasia, Madhu Shandilya
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 235, pp. 104763-104763
Closed Access | Times Cited: 45
A Review of Deep Learning Techniques for Lung Cancer Screening and Diagnosis Based on CT Images
Mohammad A. Thanoon, Mohd Asyraf Zulkifley, Muhammad Ammirrul Atiqi Mohd Zainuri, et al.
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2617-2617
Open Access | Times Cited: 44
Lung cancer disease prediction with CT scan and histopathological images feature analysis using deep learning techniques
Vani Rajasekar, M. P. Vaishnnave, S. Premkumar, et al.
Results in Engineering (2023) Vol. 18, pp. 101111-101111
Open Access | Times Cited: 42
Deep Machine Learning for Medical Diagnosis, Application to Lung Cancer Detection: A Review
Hadrien T. Gayap, Moulay A. Akhloufi
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 236-284
Open Access | Times Cited: 21
Cancer Detection Using Artificial Intelligence: A Paradigm in Early Diagnosis
Gayathri Bulusu, K. E. Ch. Vidyasagar, Malini Mudigonda, et al.
Archives of Computational Methods in Engineering (2025)
Open Access | Times Cited: 1
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET
Inês Domingues, Gisèle Pereira, Pedro Martins, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 6, pp. 4093-4160
Closed Access | Times Cited: 136
Lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection
Muhammad Attique Khan, Saddaf Rubab, Asifa Kashif, et al.
Pattern Recognition Letters (2019) Vol. 129, pp. 77-85
Closed Access | Times Cited: 120
Classification of Coronavirus (COVID‐19) from X‐ray and CT images using shrunken features
Şaban Öztürk, Umut Özkaya, Mücahid Barstuğan
International Journal of Imaging Systems and Technology (2020) Vol. 31, Iss. 1, pp. 5-15
Open Access | Times Cited: 118
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