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:
Prognosticating various acute covid lung disorders from COVID-19 patient using chest CT Images
D. Suganya, R. Kalpana
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105820-105820
Open Access | Times Cited: 14
D. Suganya, R. Kalpana
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105820-105820
Open Access | Times Cited: 14
Showing 14 citing articles:
Classification of Severity of Lung Parenchyma Using Saliency and Discrete Cosine Transform Energy in Computed Tomography of Patients With COVID‐19
Santiago Tello-Mijares, Francisco Gerardo Flores García, Luisa Woo
International Journal of Telemedicine and Applications (2025) Vol. 2025, Iss. 1
Open Access
Santiago Tello-Mijares, Francisco Gerardo Flores García, Luisa Woo
International Journal of Telemedicine and Applications (2025) Vol. 2025, Iss. 1
Open Access
Accuracy of artificial intelligence algorithms in predicting acute respiratory distress syndrome: a systematic review and meta-analysis
Yaxin Xiong, Yuan Gao, Yucheng Qi, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Yaxin Xiong, Yuan Gao, Yucheng Qi, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Cov-Fed: Federated learning-based framework for COVID-19 diagnosis using chest X-ray scans
Isaac Adjei-Mensah, Xiaoling Zhang, Isaac Osei Agyemang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107448-107448
Closed Access | Times Cited: 10
Isaac Adjei-Mensah, Xiaoling Zhang, Isaac Osei Agyemang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107448-107448
Closed Access | Times Cited: 10
Few-shot learning for the classification of intestinal tuberculosis and Crohn's disease on endoscopic images: A novel learn-to-learn framework
Jiaxi Lin, Shiqi Zhu, Minyue Yin, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26559-e26559
Open Access | Times Cited: 2
Jiaxi Lin, Shiqi Zhu, Minyue Yin, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26559-e26559
Open Access | Times Cited: 2
Detecting Internal Defects in FRP-Reinforced Concrete Structures through the Integration of Infrared Thermography and Deep Learning
Pengfei Pan, Rongpeng Zhang, Yi Zhang, et al.
Materials (2024) Vol. 17, Iss. 13, pp. 3350-3350
Open Access | Times Cited: 2
Pengfei Pan, Rongpeng Zhang, Yi Zhang, et al.
Materials (2024) Vol. 17, Iss. 13, pp. 3350-3350
Open Access | Times Cited: 2
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
Hongtao Zhang, Zeyu Sun, Juan Zhou, et al.
Frontiers in Cellular and Infection Microbiology (2023) Vol. 13
Open Access | Times Cited: 5
A Novel Paradigm for Sentiment Analysis on COVID-19 Tweets with Transfer Learning Based Fine-Tuned BERT
Amit Pimpalkar, Jeberson Retna Raj
Advances in Technology Innovation (2023) Vol. 8, Iss. 4, pp. 254-266
Open Access | Times Cited: 5
Amit Pimpalkar, Jeberson Retna Raj
Advances in Technology Innovation (2023) Vol. 8, Iss. 4, pp. 254-266
Open Access | Times Cited: 5
A hierarchical fine-grained classification approach for COVID-19 severity assessment based on CT images
Yuchai Wan, Shuqin Jia, Yifan Li, et al.
Computers & Electrical Engineering (2023) Vol. 112, pp. 109011-109011
Closed Access | Times Cited: 3
Yuchai Wan, Shuqin Jia, Yifan Li, et al.
Computers & Electrical Engineering (2023) Vol. 112, pp. 109011-109011
Closed Access | Times Cited: 3
Identification of gastric signet ring cell carcinoma based on endoscopic images using few-shot learning
Minyue Yin, Rufa Zhang, Jiaxi Lin, et al.
Digestive and Liver Disease (2023) Vol. 55, Iss. 12, pp. 1725-1734
Closed Access | Times Cited: 2
Minyue Yin, Rufa Zhang, Jiaxi Lin, et al.
Digestive and Liver Disease (2023) Vol. 55, Iss. 12, pp. 1725-1734
Closed Access | Times Cited: 2
A Novel Classification Model Using Optimal Long Short-Term Memory for Classification of COVID-19 from CT Images
R. Vinothini, G. Niranjana, Fitri Yakub
Journal of Digital Imaging (2023) Vol. 36, Iss. 6, pp. 2480-2493
Closed Access | Times Cited: 2
R. Vinothini, G. Niranjana, Fitri Yakub
Journal of Digital Imaging (2023) Vol. 36, Iss. 6, pp. 2480-2493
Closed Access | Times Cited: 2
Machine Learning for Affordable Diagnosis of SARS-COV-2 from Hematological and Biochemical Tests
Reginaldo José da Silva, Carlos Roberto dos Santos Júnior, Thays Abreu, et al.
(2024)
Open Access
Reginaldo José da Silva, Carlos Roberto dos Santos Júnior, Thays Abreu, et al.
(2024)
Open Access
Few-shot learning to identify atypical endometrial hyperplasia and endometrial cancer based on transvaginal ultrasonic images
Mingyue Wang, Wen Liu, Xinxian Gu, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36426-e36426
Open Access
Mingyue Wang, Wen Liu, Xinxian Gu, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36426-e36426
Open Access
MetaMis: A Study of Identifying Missed Labels or Mislabels of Chest Radiographic Images Using Meta Learning
D. Suganya, R. Kalpana
Lecture notes in networks and systems (2024), pp. 374-386
Closed Access
D. Suganya, R. Kalpana
Lecture notes in networks and systems (2024), pp. 374-386
Closed Access
Prognosticating COVID-19 Pneumonia Versus Common Pneumonia for Pediatrics Using Chest Radiographic Images
D. Suganya, R. Kalpana
Lecture notes in networks and systems (2024), pp. 343-357
Closed Access
D. Suganya, R. Kalpana
Lecture notes in networks and systems (2024), pp. 343-357
Closed Access
