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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:

Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets
Chun Li, Yunyun Yang, Hui Liang, et al.
Knowledge-Based Systems (2021) Vol. 218, pp. 106849-106849
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Dense Convolutional Network and Its Application in Medical Image Analysis
Tao Zhou, Xinyu Ye, Huiling Lu, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-22
Open Access | Times Cited: 101
Deep learning models-based CT-scan image classification for automated screening of COVID-19
Kapil Gupta, Varun Bajaj
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104268-104268
Open Access | Times Cited: 70
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
A comparative study of X-ray and CT images in COVID-19 detection using image processing and deep learning techniques
H. Mary Shyni, E. Chitra
Computer Methods and Programs in Biomedicine Update (2022) Vol. 2, pp. 100054-100054
Open Access | Times Cited: 56
Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic Review
Junaid Iqbal Khan, Jebran Khan, Furqan Ali, et al.
IEEE Access (2022) Vol. 10, pp. 62613-62660
Open Access | Times Cited: 54
Detection of COVID-19 using deep learning techniques and classification methods
Çinare Oğuz, Mete Yağanoğlu
Information Processing & Management (2022) Vol. 59, Iss. 5, pp. 103025-103025
Open Access | Times Cited: 48
Uncertainty-driven ensembles of multi-scale deep architectures for image classification
Juan E. Arco, Andrés Ortíz, Javier Ramı́rez, et al.
Information Fusion (2022) Vol. 89, pp. 53-65
Open Access | Times Cited: 41
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
Medical images classification using deep learning: a survey
Rakesh Kumar, Pooja Kumbharkar, Sandeep Vanam, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 19683-19728
Closed Access | Times Cited: 26
Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework
Arun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1954-1954
Open Access | Times Cited: 23
Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images
Minglei Li, Xiang Li, Yuchen Jiang, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109278-109278
Open Access | Times Cited: 35
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images
Hatice Çatal Reis, Veysel Turk
Artificial Intelligence in Medicine (2022) Vol. 134, pp. 102427-102427
Open Access | Times Cited: 31
Automatic recognition of earth rock embankment leakage based on UAV passive infrared thermography and deep learning
Renlian Zhou, Zhiping Wen, Huaizhi Su
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 191, pp. 85-104
Closed Access | Times Cited: 29
Deep supervised learning using self-adaptive auxiliary loss for COVID-19 diagnosis from imbalanced CT images
Kai Hu, Yingjie Huang, Wei Huang, et al.
Neurocomputing (2021) Vol. 458, pp. 232-245
Open Access | Times Cited: 40
Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission
Alvin Wei Ze Chew, Yue Pan, Ying Wang, et al.
Knowledge-Based Systems (2021) Vol. 233, pp. 107417-107417
Open Access | Times Cited: 34
Detecting prohibited objects with physical size constraint from cluttered X-ray baggage images
An Chang, Yu Zhang, Shunli Zhang, et al.
Knowledge-Based Systems (2021) Vol. 237, pp. 107916-107916
Closed Access | Times Cited: 33
Deep Dual Attention Network for Precise Diagnosis of COVID-19 From Chest CT Images
Zhijie Lin, Zhaoshui He, Ruoyu Yao, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 5, Iss. 1, pp. 104-114
Closed Access | Times Cited: 26
Multi-task semantic segmentation of CT images for COVID-19 infections using DeepLabV3+ based on dilated residual network
Hasan Polat
Physical and Engineering Sciences in Medicine (2022) Vol. 45, Iss. 2, pp. 443-455
Open Access | Times Cited: 24
A Systematic Review on Deep Structured Learning for COVID-19 Screening Using Chest CT from 2020 to 2022
K. C. Santosh, Debasmita GhoshRoy, Suprim Nakarmi
Healthcare (2023) Vol. 11, Iss. 17, pp. 2388-2388
Open Access | Times Cited: 12
Deep Learning and Federated Learning for Screening COVID-19: A Review
M. Rubaiyat Hossain Mondal, Subrato Bharati, Prajoy Podder, et al.
BioMedInformatics (2023) Vol. 3, Iss. 3, pp. 691-713
Open Access | Times Cited: 11
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
Medical image segmentation based on active fusion-transduction of multi-stream features
Yucheng Shu, Jing Zhang, Bin Xiao, et al.
Knowledge-Based Systems (2021) Vol. 220, pp. 106950-106950
Closed Access | Times Cited: 23
Diagnosis of cervical lymph node metastasis with thyroid carcinoma by deep learning application to CT images
Tiantian Wang, Yan Ding, Zhao‐Di Liu, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 9
Small size CNN-Based COVID-19 Disease Prediction System using CT scan images on PaaS cloud
Madhusudan G. Lanjewar, Kamini G. Panchbhai, Charanarur Panem
Multimedia Tools and Applications (2024) Vol. 83, Iss. 21, pp. 60655-60687
Closed Access | Times Cited: 3
COVID-19 Image Classification: A Comparative Performance Analysis of Hand-Crafted vs. Deep Features
Sadiq Alinsaif
Computation (2024) Vol. 12, Iss. 4, pp. 66-66
Open Access | Times Cited: 3
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