Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection
Muhammet Fatih Aslan, Muhammed Fahri Ünlerşen, Kadir Sabancı, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106912-106912
Open Access | Times Cited: 312

Showing 1-25 of 312 citing articles:

Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
Iqbal H. Sarker
SN Computer Science (2021) Vol. 2, Iss. 6
Open Access | Times Cited: 1425
AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems
Iqbal H. Sarker
SN Computer Science (2022) Vol. 3, Iss. 2
Open Access | Times Cited: 598
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 309
Deep Learning for Smart Healthcare—A Survey on Brain Tumor Detection from Medical Imaging
Mahsa Arabahmadi, Reza Farahbakhsh, Javad Rezazadeh
Sensors (2022) Vol. 22, Iss. 5, pp. 1960-1960
Open Access | Times Cited: 139
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: 137
A CNN-SVM study based on selected deep features for grapevine leaves classification
Murat Köklü, Muhammed Fahri Ünlerşen, İlker Ali Özkan, et al.
Measurement (2021) Vol. 188, pp. 110425-110425
Closed Access | Times Cited: 137
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
Iqbal H. Sarker
(2021)
Open Access | Times Cited: 118
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods
Ahmet Saygılı
Applied Soft Computing (2021) Vol. 105, pp. 107323-107323
Open Access | Times Cited: 114
COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization
Muhammet Fatih Aslan, Kadir Sabancı, Akif Durdu, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105244-105244
Open Access | Times Cited: 110
COVID-Transformer: Interpretable COVID-19 Detection Using Vision Transformer for Healthcare
Debaditya Shome, T. Kar, Sachi Nandan Mohanty, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 21, pp. 11086-11086
Open Access | Times Cited: 107
BiLSTM deep neural network model for imbalanced medical data of IoT systems
Marcin Woźniak, Michał Wieczorek, Jakub Siłka
Future Generation Computer Systems (2022) Vol. 141, pp. 489-499
Closed Access | Times Cited: 100
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening
Jenny Yang, Andrew A. S. Soltan, David A. Clifton
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 85
An Optimization-Based Diabetes Prediction Model Using CNN and Bi-Directional LSTM in Real-Time Environment
Parul Madan, Vijay Singh, Vaibhav Chaudhari, et al.
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 3989-3989
Open Access | Times Cited: 76
VGGCOV19-NET: automatic detection of COVID-19 cases from X-ray images using modified VGG19 CNN architecture and YOLO algorithm
Abdülkadir Karacı
Neural Computing and Applications (2022) Vol. 34, Iss. 10, pp. 8253-8274
Open Access | Times Cited: 72
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: 70
A Novel Data Augmentation-Based Brain Tumor Detection Using Convolutional Neural Network
Haitham Alsaif, Ramzi Guesmi, Badr M. Alshammari, et al.
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 3773-3773
Open Access | Times Cited: 69
Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment
Md. Mahadi Hasan, Muhammad Usama Islam, Muhammad Jafar Sadeq, et al.
Sensors (2023) Vol. 23, Iss. 1, pp. 527-527
Open Access | Times Cited: 46
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2023) Vol. 36, Iss. 8, pp. 1779-1821
Open Access | Times Cited: 44
Trends in digital image processing of isolated microalgae by incorporating classification algorithm
Jun Wei Roy Chong, Kuan Shiong Khoo, Kit Wayne Chew, et al.
Biotechnology Advances (2023) Vol. 63, pp. 108095-108095
Closed Access | Times Cited: 38
Inspired by “Focus, Fusion, Collaboration”: A multi-level ensemble network for automatic pneumonia diagnosis from full slice CT images
Linna Zhao, Jianqiang Li, Qing Zhao, et al.
Expert Systems with Applications (2025), pp. 126806-126806
Closed Access | Times Cited: 1
Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19
Daryl L. X. Fung, Qian Liu, Judah Zammit, et al.
Journal of Translational Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 96
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen
(2020)
Open Access | Times Cited: 95
Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images
Sheetal Rajpal, Navin Lakhyani, Ayush Singh, et al.
Chaos Solitons & Fractals (2021) Vol. 145, pp. 110749-110749
Open Access | Times Cited: 92
Analysis of DNA Sequence Classification Using CNN and Hybrid Models
Hemalatha Gunasekaran, K. Ramalakshmi, A. Rex Macedo Arokiaraj, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 88
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
Nagur Shareef Shaik, Teja Krishna Cherukuri
Computers in Biology and Medicine (2021) Vol. 141, pp. 105127-105127
Open Access | Times Cited: 75
Page 1 - Next Page

Scroll to top