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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:

CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays
Hassaan Malik, Tayyaba Anees, Mui-zzud- din, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 9, pp. 13855-13880
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images
Maryam Tahir, Ahmad Naeem, Hassaan Malik, et al.
Cancers (2023) Vol. 15, Iss. 7, pp. 2179-2179
Open Access | Times Cited: 97
DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays
Hassaan Malik, Ahmad Naeem, Rizwan Ali Naqvi, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 743-743
Open Access | Times Cited: 46
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: 43
DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images
Ahmad Naeem, Tayyaba Anees
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0297667-e0297667
Open Access | Times Cited: 20
Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans
Hassaan Malik, Tayyaba Anees, Ahmad Naeem, et al.
Bioengineering (2023) Vol. 10, Iss. 2, pp. 203-203
Open Access | Times Cited: 24
CNN-IKOA: convolutional neural network with improved Kepler optimization algorithm for image segmentation: experimental validation and numerical exploration
Mohamed Abdel‐Basset, Reda Mohamed, Ibrahim Alrashdi, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 10
Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds
Hassaan Malik, Tayyaba Anees
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0296352-e0296352
Open Access | Times Cited: 8
Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network
Houze Liu, Iris Li, Yaxin Liang, et al.
(2024), pp. 810-816
Open Access | Times Cited: 8
Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays
Hassaan Malik, Tayyaba Anees
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 63017-63045
Closed Access | Times Cited: 7
Deep Feature Fusion of Local and Global Patterns for Early Detection of Lung Abnormalities in Chest X-Rays
Ashutosh Awasthi, Pawan Kumar Tiwari, Dhirendra Verma, et al.
Communications in computer and information science (2025), pp. 363-377
Closed Access
Augmenting Clinical Decisions with Deep Learning Lung Cancer Image Abnormality Segmentation
K Venkatraman, Sirigiri Naga Pavan Sathvik Reddy
(2024), pp. 674-678
Closed Access | Times Cited: 4
Exploring the efficacy of GRU model in classifying the signal to noise ratio of microgrid model
Abdulaziz A. Alsulami, Qasem Abu Al‐Haija, Badraddin Alturki, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
A review of convolutional neural network based methods for medical image classification
Chao Chen, Nor Ashidi Mat Isa, Xin Liu
Computers in Biology and Medicine (2024) Vol. 185, pp. 109507-109507
Closed Access | Times Cited: 4
Detection of COVID-19, pneumonia, and tuberculosis from radiographs using AI-driven knowledge distillation
Md. Mohsin Kabir, M. F. Mridha, Ashifur Rahman, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26801-e26801
Open Access | Times Cited: 3
Deep Learning for Pneumonia Detection in Chest X-ray Images: A Comprehensive Survey
Raheel Siddiqi, Sameena Javaid
Journal of Imaging (2024) Vol. 10, Iss. 8, pp. 176-176
Open Access | Times Cited: 3
OView-AI Supporter for Classifying Pneumonia, Pneumothorax, Tuberculosis, Lung Cancer Chest X-ray Images Using Multi-Stage Superpixels Classification
Joonho Oh, Chanho Park, Hongchang Lee, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1519-1519
Open Access | Times Cited: 9
COVID-19 Detection and Diagnosis Model on CT Scans Based on AI Techniques
Maria-Alexandra Zolya, Cosmin Baltag, Dragoș-Vasile Bratu, et al.
Bioengineering (2024) Vol. 11, Iss. 1, pp. 79-79
Open Access | Times Cited: 2
Research on Early Warning Model of Cardiovascular Disease Based on Computer Deep Learning
Yuxiang Hu, Jinxin Hu, Ting Xu, et al.
(2024) Vol. 12, pp. 1336-1340
Open Access | Times Cited: 2
Weak Localization of Radiographic Manifestations in Pulmonary Tuberculosis from Chest X-ray: A Systematic Review
Degaga Wolde Feyisa, Yehualashet Megersa Ayano, Taye Girma Debelee, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6781-6781
Open Access | Times Cited: 7
Fusion-Extracted Features by Deep Networks for Improved COVID-19 Classification with Chest X-ray Radiography
Kuo-Hsuan Lin, Nan‐Han Lu, Takahide Okamoto, et al.
Healthcare (2023) Vol. 11, Iss. 10, pp. 1367-1367
Open Access | Times Cited: 6
Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images
Hassaan Malik, Tayyaba Anees, Ahmad Sami Al-Shamayleh, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2772-2772
Open Access | Times Cited: 6
Diagnosis and multi-classification of lung diseases in CXR images using optimized deep convolutional neural network
S. Ashwini, J. R. Arunkumar, R. Thandaiah Prabu, et al.
Soft Computing (2023) Vol. 28, Iss. 7-8, pp. 6219-6233
Closed Access | Times Cited: 6
Computed tomography–based COVID–19 triage through a deep neural network using mask–weighted global average pooling
Hongtao Zhang, Zeyu Sun, Juan Zhou, et al.
Frontiers in Cellular and Infection Microbiology (2023) Vol. 13
Open Access | Times Cited: 5
EMED-UNet: An Efficient Multi-Encoder-Decoder Based UNet for Medical Image Segmentation
Kashish D. Shah, Dhaval K. Patel, Minesh Thaker, et al.
IEEE Access (2023) Vol. 11, pp. 95253-95266
Open Access | Times Cited: 5
Deep Learning-Based Classification of Abrasion and Ischemic Diabetic Foot Sores Using Camera-Captured Images
Mudassir Khalil, Ahmad Naeem, Rizwan Ali Naqvi, et al.
Mathematics (2023) Vol. 11, Iss. 17, pp. 3793-3793
Open Access | Times Cited: 5
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