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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:

COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion
Muhammad Attique Khan, Majed Alhaisoni, Usman Tariq, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7286-7286
Open Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion
Kiran Jabeen, Muhammad Attique Khan, Majed Alhaisoni, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 807-807
Open Access | Times Cited: 199
Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine
Farhat Afza, Muhammad Sharif, Muhammad Attique Khan, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 799-799
Open Access | Times Cited: 111
Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images
Miodrag Živković, Nebojša Bačanin, Miloš Antonijević, et al.
Electronics (2022) Vol. 11, Iss. 22, pp. 3798-3798
Open Access | Times Cited: 106
A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation
Hanane Allioui, Mazin Abed Mohammed, Narjes Benameur, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 2, pp. 309-309
Open Access | Times Cited: 66
Breast Cancer Mammograms Classification Using Deep Neural Network and Entropy-Controlled Whale Optimization Algorithm
Saliha Zahoor, Umar Shoaib, Ikram Ullah Lali
Diagnostics (2022) Vol. 12, Iss. 2, pp. 557-557
Open Access | Times Cited: 63
Cucumber Leaf Diseases Recognition Using Multi Level Deep Entropy-ELM Feature Selection
Muhammad Attique Khan, Abdullah Alqahtani, Aimal Khan, et al.
Applied Sciences (2022) Vol. 12, Iss. 2, pp. 593-593
Open Access | Times Cited: 59
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain
Arash Heidari, Shiva Toumaj, Nima Jafari Navimipour, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105461-105461
Open Access | Times Cited: 56
A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images
David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 55
A review on federated learning towards image processing
Fahad Ahmed Khokhar, Jamal Hussain Shah, Muhammad Attique Khan, et al.
Computers & Electrical Engineering (2022) Vol. 99, pp. 107818-107818
Closed Access | Times Cited: 50
Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool
Mohanad Alkhodari, Ahsan H. Khandoker
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0262448-e0262448
Open Access | Times Cited: 49
M3BTCNet: multi model brain tumor classification using metaheuristic deep neural network features optimization
Muhammad Irfan Sharif, Jianping Li, Muhammad Attique Khan, et al.
Neural Computing and Applications (2022) Vol. 36, Iss. 1, pp. 95-110
Closed Access | Times Cited: 44
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: 40
RADIC:A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics
Omneya Attallah
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 233, pp. 104750-104750
Open Access | Times Cited: 36
A Modified LeNet CNN for Breast Cancer Diagnosis in Ultrasound Images
Sathiyabhama Balasubramaniam, Yuvarajan Velmurugan, Dhayanithi Jaganathan, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2746-2746
Open Access | Times Cited: 35
A novel importance scores based variable selection approach and validation using a MIR and NIR dataset
Li Tang, Xin Kang Li, Yue Huang, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2025) Vol. 330, pp. 125701-125701
Closed Access | Times Cited: 1
A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images
Omneya Attallah
Digital Health (2022) Vol. 8, pp. 205520762210925-205520762210925
Open Access | Times Cited: 36
Lung X-Ray Image Segmentation Using Heuristic Red Fox Optimization Algorithm
Antoni Jaszcz, Dawid Połap, Robertas Damaševičius
Scientific Programming (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 34
An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples
Olusola Abayomi‐Alli, Robertas Damaševičius, Rytis Maskeliūnas, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2224-2224
Open Access | Times Cited: 33
COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization
Ameer Hamza, Muhammad Attique Khan, Shuihua Wang, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 33
High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms
Isaac Shiri, Shayan Mostafaei, Atlas Haddadi Avval, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 29
Automated Detection of Myocardial Infarction and Heart Conduction Disorders Based on Feature Selection and a Deep Learning Model
Mohamed Hammad, Samia Allaoua Chelloug, Reem Alkanhel, et al.
Sensors (2022) Vol. 22, Iss. 17, pp. 6503-6503
Open Access | Times Cited: 26
AdaD-FNN for Chest CT-Based COVID-19 Diagnosis
Xujing Yao, Ziquan Zhu, Cheng Kang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 1, pp. 5-14
Open Access | Times Cited: 23
Multi-Classification of Chest X-rays for COVID-19 Diagnosis Using Deep Learning Algorithms
Abeer Abdelhamid, Eman AbdElhalim, Mohamed A. Mohamed, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2080-2080
Open Access | Times Cited: 22
A novel deep learning model to detect COVID-19 based on wavelet features extracted from Mel-scale spectrogram of patients’ cough and breathing sounds
Mohammed Aly, Nouf Saeed Alotaibi
Informatics in Medicine Unlocked (2022) Vol. 32, pp. 101049-101049
Open Access | Times Cited: 22
MFEFNet: Multi-scale feature enhancement and Fusion Network for polyp segmentation
Yang Xia, Haijiao Yun, Yanjun Liu
Computers in Biology and Medicine (2023) Vol. 157, pp. 106735-106735
Closed Access | Times Cited: 14
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