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:

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

Showing 1-25 of 40 citing articles:

Weakly supervised machine learning
Zeyu Ren, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 3, pp. 549-580
Open Access | Times Cited: 82

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: 53

A review of deep learning in dentistry
Chenxi Huang, Jiaji Wang, Shuihua Wang‎, et al.
Neurocomputing (2023) Vol. 554, pp. 126629-126629
Open Access | Times Cited: 45

A Holistic Approach to Identify and Classify COVID-19 from Chest Radiographs, ECG, and CT-Scan Images Using ShuffleNet Convolutional Neural Network
Naeem Ullah, Javed Ali Khan, Shaker El–Sappagh, et al.
Diagnostics (2023) Vol. 13, Iss. 1, pp. 162-162
Open Access | Times Cited: 41

Automated Classification of Brain Tumors from Magnetic Resonance Imaging Using Deep Learning
Zahid Rasheed, Yong-Kui Ma, Inam Ullah, et al.
Brain Sciences (2023) Vol. 13, Iss. 4, pp. 602-602
Open Access | Times Cited: 28

A review on lung disease recognition by acoustic signal analysis with deep learning networks
Alyaa Hamel Sfayyih, Nasri Sulaiman, Ahmad H. Sabry
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 16

Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability
Fan Zhong, Kaiqiao He, Mengqi Ji, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5

Artificial intelligence in pathologic diagnosis, prognosis and prediction of prostate cancer
Min Zhu, Rasoul Sali, F. Baba, et al.
American Journal of Clinical and Experimental Urology (2024) Vol. 12, Iss. 4, pp. 200-215
Closed Access | Times Cited: 5

A review of medical text analysis: Theory and practice
Yani Chen, Chunwu Zhang, Ruibin Bai, et al.
Information Fusion (2025), pp. 103024-103024
Closed Access

Dual-path information enhanced pyramid Unet for COVID-19 lung infection segmentation
Zhang Yan, Qi Mao, Yi Tian, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109977-109977
Closed Access

Artificial intelligence in general internal medicine: A glimpse into the future
Vassiliki Danilatou, James D. Douketis
Canadian Journal of General Internal Medicine (2025) Vol. 20, Iss. 1, pp. 2-5
Open Access

Machine learning-assisted extrusion-based 3D bioprinting for tissue regeneration applications
Devara Venkata Krishna, Mamilla Ravi Sankar
Annals of 3D Printed Medicine (2023) Vol. 12, pp. 100132-100132
Open Access | Times Cited: 10

Multi-modality relation attention network for breast tumor classification
Xiao Yang, Xiaoming Xi, Lu Yang, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106210-106210
Closed Access | Times Cited: 12

COVID-AleXception: A Deep Learning Model Based on a Deep Feature Concatenation Approach for the Detection of COVID-19 from Chest X-ray Images
Manel Ayadi, Amel Ksibi, Amal Al‐Rasheed, et al.
Healthcare (2022) Vol. 10, Iss. 10, pp. 2072-2072
Open Access | Times Cited: 12

Potential of vibrational spectroscopy coupled with machine learning as a non-invasive diagnostic method for COVID-19
Bingqiang Zhao, Hong Lin Zhai, Haiping Shao, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107295-107295
Open Access | Times Cited: 11

Deep Learning-Based COVID-19 Detection from Chest X-ray Images: A Comparative Study
Duc Minh Cao, Md Shahedul Amin, Md. Tanvir Islam, et al.
Journal of Computer Science and Technology Studies (2023) Vol. 5, Iss. 4, pp. 132-141
Open Access | Times Cited: 6

A Review of Deep Learning Imaging Diagnostic Methods for COVID-19
Tao Zhou, Fengzhen Liu, Huiling Lu, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1167-1167
Open Access | Times Cited: 5

Visual Knowledge Domain of Artificial Intelligence in Computed Tomography: A Review Based on Bibliometric Analysis
Kunshu Zhu, Zefang Shen, Min Wang, et al.
Journal of Computer Assisted Tomography (2024) Vol. 48, Iss. 4, pp. 652-662
Closed Access | Times Cited: 1

A Survey on Impact of Internet of Medical Things Against Diabetic Foot Ulcer
R. Athi Vaishnavi, P Jegathesh, M. Jayasheela, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 1

Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence
Ashish Singh Chauhan, Rajesh Singh, Neeraj Priyadarshi, et al.
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1

Image Smart Segmentation Analysis Against Diabetic Foot Ulcer Using Internet of Things with Virtual Sensing
Chandu Thota, R. Dinesh Jackson Samuel, Mustafa Musa Jaber, et al.
Big Data (2023) Vol. 12, Iss. 2, pp. 155-172
Closed Access | Times Cited: 3

COVID-19 ground-glass opacity segmentation based on fuzzy c-means clustering and improved random walk algorithm
Guowei Wang, Shuli Guo, Lina Han, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104159-104159
Open Access | Times Cited: 5

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