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:

Topology optimization search of deep convolution neural networks for CT and X-ray image classification
Hassen Louati, Ali Louati, Slim Bechikh, et al.
BMC Medical Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 8

Showing 8 citing articles:

Exploring the Advancements and Future Research Directions of Artificial Neural Networks: A Text Mining Approach
Elham Kariri, Hassen Louati, Ali Louati, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3186-3186
Open Access | Times Cited: 17

Joint filter and channel pruning of convolutional neural networks as a bi-level optimization problem
Hassen Louati, Ali Louati, Slim Bechikh, et al.
Memetic Computing (2024) Vol. 16, Iss. 1, pp. 71-90
Closed Access | Times Cited: 6

Advancing Sustainable COVID-19 Diagnosis: Integrating Artificial Intelligence with Bioinformatics in Chest X-ray Analysis
Hassen Louati, Ali Louati, Rahma Lahyani, et al.
Information (2024) Vol. 15, Iss. 4, pp. 189-189
Open Access | Times Cited: 5

Convolution-layer parameters optimization in Convolutional Neural Networks
Milad Kohzadi Chegeni, Abdolreza Rashno, Sadegh Fadaei
Knowledge-Based Systems (2022) Vol. 261, pp. 110210-110210
Closed Access | Times Cited: 17

Embedding channel pruning within the CNN architecture design using a bi-level evolutionary approach
Hassen Louati, Ali Louati, Slim Bechikh, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 14, pp. 16118-16151
Open Access | Times Cited: 4

Artificial Intelligence Models Could Enhance the Diagnostic Accuracy (DA) of Fecal Immunochemical Test (FIT) in the Detection of Colorectal Adenoma in a Screening Setting
MAARET ESKELINEN, Tuomas Selander, Denise Peixoto GuimarĂ£es, et al.
Anticancer Research (2024) Vol. 45, Iss. 1, pp. 267-275
Closed Access

Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and Transfer Learning
Hassen Louati, Ali Louati, Elham Kariri, et al.
Communications in computer and information science (2023), pp. 83-95
Closed Access | Times Cited: 1

Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm, Transfer Learning, and Model Compression
Hassen Louati, Ali Louati, Elham Kariri, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 138, Iss. 3, pp. 2519-2547
Open Access

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