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:

Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic
Jing Wang, Xiaofeng Yang, Boran Zhou, et al.
Journal of Imaging (2022) Vol. 8, Iss. 3, pp. 65-65
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

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: 52

Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
Diagnostics (2024) Vol. 14, Iss. 5, pp. 484-484
Open Access | Times Cited: 17

Deep learning for real-time multi-class segmentation of artefacts in lung ultrasound
L.N. Howell, Nicola Ingram, Roger Lapham, et al.
Ultrasonics (2024) Vol. 140, pp. 107251-107251
Open Access | Times Cited: 10

The Impact of Artificial Intelligence on Microbial Diagnosis
Ahmad Alsulimani, Naseem Akhter, Fatima Jameela, et al.
Microorganisms (2024) Vol. 12, Iss. 6, pp. 1051-1051
Open Access | Times Cited: 9

Fully automatic tumor segmentation of breast ultrasound images with deep learning
Shuai Zhang, Mei Liao, Jing Wang, et al.
Journal of Applied Clinical Medical Physics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 27

XCovNet: An optimized xception convolutional neural network for classification of COVID-19 from point-of-care lung ultrasound images
G. Madhu, Sandeep Kautish, Yogita Gupta, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 33653-33674
Open Access | Times Cited: 15

Improved A-Line and B-Line Detection in Lung Ultrasound Using Deep Learning with Boundary-Aware Dice Loss
Soolmaz Abbasi, Assefa Seyoum Wahd, Shrimanti Ghosh, et al.
Bioengineering (2025) Vol. 12, Iss. 3, pp. 311-311
Open Access

Ultrasound-based AI for COVID-19 detection: a comprehensive review of public and private lung ultrasound datasets and studies
Abrar Morshed, Abdulla Al Shihab, Md Abrar Jahin, et al.
Multimedia Tools and Applications (2025)
Closed Access

FCG-Net: An innovative full-scale connected network for thyroid nodule segmentation in ultrasound images
Jiajun Shao, Tongtong Pan, Liwen Fan, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105048-105048
Closed Access | Times Cited: 7

Lung Ultrasound Reduces Chest X-rays in Postoperative Care after Thoracic Surgery: Is There a Role for Artificial Intelligence?—Systematic Review
Marek Malík, Anton Dzian, Martin Števík, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2995-2995
Open Access | Times Cited: 7

Blazing the trail for innovative tuberculosis diagnostics
Seda Yerlikaya, Tobias Broger, Chris Isaacs, et al.
Infection (2023) Vol. 52, Iss. 1, pp. 29-42
Open Access | Times Cited: 7

A Novel Automatic Algorithm to Support Lung Ultrasound Non-Expert Physicians in Interstitial Pneumonia Evaluation: A Single-Center Study
Marialuisa Sveva Marozzi, Sebastiano Cicco, Francesca Mancini, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 155-155
Open Access | Times Cited: 2

Artificial Intelligence in Lung Ultrasound
D. Chu, Andrew S. Liteplo, Nicole M. Duggan, et al.
Current Pulmonology Reports (2024) Vol. 13, Iss. 2, pp. 127-134
Closed Access | Times Cited: 2

Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling: A Prospective Analysis (Preprint)
Nicole M. Duggan, Mike Jin, Maria Alejandra Duran Mendicuti, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e51397-e51397
Open Access | Times Cited: 2

Advancing healthcare through thoracic ultrasound research in older patients
Simone Scarlata, Chukwuma Okoye, Sonia Zotti, et al.
Aging Clinical and Experimental Research (2023) Vol. 35, Iss. 12, pp. 2887-2901
Open Access | Times Cited: 5

Coupling speckle noise suppression with image classification for deep-learning-aided ultrasound diagnosis
Ruixin Wang, Xiaohui Liu, Guoping Tan
Physics in Medicine and Biology (2024) Vol. 69, Iss. 6, pp. 065001-065001
Closed Access | Times Cited: 1

Metric-Based Frame Selection and Deep Learning Model With Multi-Head Self Attention for Classification of Ultrasound Lung Video Images
Ebrahim A. Nehary, Sreeraman Rajan, Carlos Rossa
IEEE Access (2024) Vol. 12, pp. 79297-79310
Open Access | Times Cited: 1

Prospective Real-Time Validation of a Lung Ultrasound Deep Learning Model in the ICU
Chintan Dave, Derek Wu, Jared Tschirhart, et al.
Critical Care Medicine (2023) Vol. 51, Iss. 2, pp. 301-309
Closed Access | Times Cited: 4

COVID-19 Detection from Cough Recordings Using Bag-of-Words Classifiers
Irina Pavel, Iulian B. Ciocoiu
Sensors (2023) Vol. 23, Iss. 11, pp. 4996-4996
Open Access | Times Cited: 4

Lung Ultrasound Image Classification Using Deep Learning and Histogram of Oriented Gradients Features for COVID-19 Detection
E. A. Nehary, Sreeraman Rajan, Carlos Rossa
(2023), pp. 1-6
Closed Access | Times Cited: 4

The diagnostic capabilities of the combined cardiac and lung point of care ultrasound in shocked patients at the emergency department – Resourced limited country
Kamonwon Ienghong, Lap Woon Cheung, Somsak Tiamkao, et al.
European Journal of Radiology Open (2022) Vol. 9, pp. 100446-100446
Open Access | Times Cited: 6

Artifact Detection in Lung Ultrasound: An Analytical Approach
Maroš Hliboký, Ján Magyar, Marek Bundzel, et al.
Electronics (2023) Vol. 12, Iss. 7, pp. 1551-1551
Open Access | Times Cited: 3

Artificial intelligence in precision medicine
Shahid Siddiqui, Sivakumar Loganathan, Venkateswaran Ramamoorthi Elangovan, et al.
Elsevier eBooks (2023), pp. 531-569
Closed Access | Times Cited: 3

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