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:

Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification
Bruno Barros, Paulo Lacerda, Célio Albuquerque, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5486-5486
Open Access | Times Cited: 47

Showing 26-50 of 47 citing articles:

LSTM model for predicting the daily number of asthma patients in Seoul, South Korea, using meteorological and air pollution data
Mun Young Chang, Yunseo Ku
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 13, pp. 37440-37448
Closed Access | Times Cited: 5
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.
(2023)
Open Access | Times Cited: 2
Automated Lung Ultrasound Pulmonary Disease Quantification Using an Unsupervised Machine Learning Technique for COVID-19
Hersh Sagreiya, Michael A. Jacobs, Alireza Akhbardeh
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2692-2692
Open Access | Times Cited: 2
MV-STCNet: Breast cancer diagnosis using spatial and temporal dual-attention guided classification network based on multi-view ultrasound videos
Dezhuang Kong, Shunbo Hu, Guojia Zhao
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105541-105541
Closed Access | Times Cited: 2
Weakly Semi-supervised Detector-based Video Classification with Temporal Context for Lung Ultrasound
Gary Y. Li, Li Chen, Mohsen Zahiri, et al.
(2023), pp. 2475-2484
Closed Access | Times Cited: 2
The impact of collarette region-based convolutional neural network for iris recognition
Souheila Tounsi, Karima Boukari, Abdourazek Souahi
International journal of electrical and computer engineering systems (2022) Vol. 13, Iss. 1, pp. 37-47
Open Access | Times Cited: 4
Non‐contact detection method of pregnant sows backfat thickness based on two‐dimensional images
Mengyuan Yu, Hongya Zheng, Dihong Xu, et al.
Animal Genetics (2022) Vol. 53, Iss. 6, pp. 769-781
Closed Access | Times Cited: 3
Deep Learning for Green Chemistry: An AI-Enabled Pathway for Biodegradability Prediction and Organic Material Discovery
Dela Quarme Gbadago, Gyuyeong Hwang, Kihwan Lee, et al.
Korean Journal of Chemical Engineering (2024) Vol. 41, Iss. 9, pp. 2511-2524
Open Access
Deep Learning-Based Algorithms for Real-Time Lung Ultrasound Assisted Diagnosis
Mario Muñoz, Adrián Rubio, Guillermo Cosarinsky, et al.
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11930-11930
Open Access
Semi-supervised Ensemble Learning for Automatic Interpretation of Lung Ultrasound Videos
Bárbara Malainho, João Freitas, Catarina Rodrigues, et al.
Deleted Journal (2024)
Open Access
The New Landscape of Diagnostic Imaging with the Incorporation of Computer Vision
Manuel Cossio
Artificial intelligence (2023)
Open Access | Times Cited: 1
Deep learning classifiers for computer-aided diagnosis of multiple lungs disease
Aziz ur Rehman, Asma Naseer, Saira Karim, et al.
Journal of X-Ray Science and Technology (2023) Vol. 31, Iss. 5, pp. 1125-1143
Closed Access | Times Cited: 1
An efficient and robust supervised video hashing scheme based on a timedistributed CNN-BLSTM model and principal component analysis
Enver Akbacak
Multimedia Tools and Applications (2023) Vol. 83, Iss. 21, pp. 60965-60985
Closed Access | Times Cited: 1
Applications of artificial intelligence in lung ultrasound: Review of deep learning methods for COVID-19 fighting
Laura De Rosa, Serena L’Abbate, Claudia Kusmic, et al.
Artificial Intelligence in Medical Imaging (2022) Vol. 3, Iss. 2, pp. 42-54
Open Access | Times Cited: 2
Development of CNN-LSTM Hybrid Deep Learning Network for the Joint Detection of Non-Orthogonal Multiple Access Signals in 5G Uplink Receivers

International journal of intelligent engineering and systems (2022) Vol. 15, Iss. 4
Open Access | Times Cited: 2
A Review of COVID-19 Diagnostic Approaches in Computer Vision
Cemil Zalluhoğlu
Current Medical Imaging Formerly Current Medical Imaging Reviews (2022) Vol. 19, Iss. 7
Closed Access | Times Cited: 1
Diagnosis of Covid-19 using Fractional B-spline Wavelet Transform in Lung Ultrasound images
Salar Mohammadi, Saeid Rashidi
Scientia Iranica (2023)
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.
(2023)
Open Access
A New Multimodal Video Detection Model and Dataset
Bihui Yu, Jingxuan Wei, Shaojie He, et al.
2022 11th International Conference of Information and Communication Technology (ICTech)) (2023), pp. 230-235
Closed Access
A data-driven framework to assess population dynamics during novel coronavirus outbreaks: A case study on Xiamen Island, China
Peng Wang, Jinliang Huang
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0293803-e0293803
Open Access
Sickle Cell Anaemia Detection using Deep Learning
Shereen Hussien, M. A. Amer, Doaa Khalil Ibrahim
International Journal of Artificial Intelligence and Emerging Technology (2023) Vol. 6, Iss. 1, pp. 15-26
Open Access
AI and Point of Care Image Analysis for COVID-19
Michael Roberts, Oz Frank, Shai Bagon, et al.
Springer eBooks (2022), pp. 85-119
Closed Access
An approach based on image processing techniques to segment lung region in chest X-ray images
Luiza Cunha de Menezes, Augusto Righetti Vieira Ferreira de Araújo, Aura Conci
(2021), pp. 113-120
Closed Access
Previous Page - Page 2

Scroll to top