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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:

Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases
Dina M. Ibrahim, Nada M. Elshennawy, Amany Sarhan
Computers in Biology and Medicine (2021) Vol. 132, pp. 104348-104348
Open Access | Times Cited: 273

Showing 1-25 of 273 citing articles:

LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data
Nuruzzaman Faruqui, Mohammad Abu Yousuf, Md Whaiduzzaman, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104961-104961
Closed Access | Times Cited: 135
A review of deep learning-based detection methods for COVID-19
Nandhini Subramanian, Omar Elharrouss, Somaya Al‐Maadeed, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105233-105233
Open Access | Times Cited: 124
COVID-19 image classification using deep learning: Advances, challenges and opportunities
Priya Aggarwal, Narendra Kumar Mishra, Binish Fatimah, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105350-105350
Open Access | Times Cited: 108
Deep Learning Techniques to Diagnose Lung Cancer
Lulu Wang
Cancers (2022) Vol. 14, Iss. 22, pp. 5569-5569
Open Access | Times Cited: 99
Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning
Atta Rahman, Abdullah Alqahtani, Nahier Aldhafferi, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3833-3833
Open Access | Times Cited: 82
LungNet22: A Fine-Tuned Model for Multiclass Classification and Prediction of Lung Disease Using X-ray Images
F. M. Javed Mehedi Shamrat, Sami Azam, Asif Karim, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 5, pp. 680-680
Open Access | Times Cited: 71
A lightweight CNN-based network on COVID-19 detection using X-ray and CT images
Mei‐Ling Huang, Yu-Chieh Liao
Computers in Biology and Medicine (2022) Vol. 146, pp. 105604-105604
Open Access | Times Cited: 69
Deep Learning in Multi-Class Lung Diseases’ Classification on Chest X-ray Images
Sungyeup Kim, Beanbonyka Rim, Seongjun Choi, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 915-915
Open Access | Times Cited: 66
A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems
Arash Heidari, Danial Javaheri, Shiva Toumaj, et al.
Artificial Intelligence in Medicine (2023) Vol. 141, pp. 102572-102572
Closed Access | Times Cited: 55
An overview and a roadmap for artificial intelligence in hematology and oncology
Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 10, pp. 7997-8006
Open Access | Times Cited: 39
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: 39
MaxCerVixT: A novel lightweight vision transformer-based Approach for precise cervical cancer detection
İshak Paçal
Knowledge-Based Systems (2024) Vol. 289, pp. 111482-111482
Closed Access | Times Cited: 39
A Review of Machine Learning Algorithms for Biomedical Applications
V A Binson, Sania Thomas, M. Subramoniam, et al.
Annals of Biomedical Engineering (2024) Vol. 52, Iss. 5, pp. 1159-1183
Closed Access | Times Cited: 18
An overview of deep learning in medical imaging
Andrés Anaya-Isaza, Leonel Mera-Jiménez, Martha Zequera-Diaz
Informatics in Medicine Unlocked (2021) Vol. 26, pp. 100723-100723
Open Access | Times Cited: 87
Detection of pneumonia using convolutional neural networks and deep learning
Patrik Szepesi, László Szilágyi
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 1012-1022
Open Access | Times Cited: 64
Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks
Sahebgoud Hanamantray Karaddi, Lakhan Dev Sharma
Expert Systems with Applications (2022) Vol. 211, pp. 118650-118650
Closed Access | Times Cited: 50
COVID-19 detection on chest X-ray images using Homomorphic Transformation and VGG inspired deep convolutional neural network
Gerosh Shibu George, Pratyush Raj Mishra, Panav Sinha, et al.
Journal of Applied Biomedicine (2022) Vol. 43, Iss. 1, pp. 1-16
Open Access | Times Cited: 40
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
Haseeb Hassan, Zhaoyu Ren, Chengmin Zhou, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 218, pp. 106731-106731
Open Access | Times Cited: 38
Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques with X-ray images
Narin Aslan, Gonca Özmen Koca, Mehmet Ali Kobat, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 224, pp. 104539-104539
Open Access | Times Cited: 38
CXray-EffDet: Chest Disease Detection and Classification from X-ray Images Using the EfficientDet Model
Marriam Nawaz, Tahira Nazir, Jamel Baili, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 248-248
Open Access | Times Cited: 32
MCSC-Net: COVID-19 detection using deep-Q-neural network classification with RFNN-based hybrid whale optimization
Gerard Deepak, M. Madiajagan, Sanjeev Kulkarni, et al.
Journal of X-Ray Science and Technology (2023) Vol. 31, Iss. 3, pp. 483-509
Open Access | Times Cited: 28
A survey on cancer detection via convolutional neural networks: Current challenges and future directions
Pallabi Sharma, Deepak Ranjan Nayak, Bunil Kumar Balabantaray, et al.
Neural Networks (2023) Vol. 169, pp. 637-659
Closed Access | Times Cited: 28
Ensemble Federated Learning Approach for Diagnostics of Multi-Order Lung Cancer
Umamaheswaran Subashchandrabose, Rajan John, U. V. Anbazhagu, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3053-3053
Open Access | Times Cited: 23
A Comprehensive Analysis of Deep Learning-Based Approaches for Prediction and Prognosis of Infectious Diseases
Kavita Thakur, Manjot Kaur, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4477-4497
Open Access | Times Cited: 20
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