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:

Joint design and compression of convolutional neural networks as a Bi-level optimization problem
Hassen Louati, Slim Bechikh, Ali Louati, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 17, pp. 15007-15029
Open Access | Times Cited: 15

Showing 15 citing articles:

Metaheuristics for bilevel optimization: A comprehensive review
José‐Fernando Camacho‐Vallejo, Carlos Corpus, Juan G. Villegas
Computers & Operations Research (2023) Vol. 161, pp. 106410-106410
Closed Access | Times Cited: 37

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

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

Universal Binary Neural Networks Design by Improved Differentiable Neural Architecture Search
Menghao Tan, Weifeng Gao, Hong Li, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 10, pp. 9153-9165
Closed Access | Times Cited: 4

Two-Phase Evolutionary Convolutional Neural Network Architecture Search for Medical Image Classification
Arjun Ghosh, Nanda Dulal Jana, Swagatam Das, et al.
IEEE Access (2023) Vol. 11, pp. 115280-115305
Open Access | Times Cited: 11

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

Traffic Disturbance Mining and Feedforward Neural Network to Enhance the Immune Network Control Performance
Ali Louati, Fatma Masmoudi, Rahma Lahyani
Lecture notes in networks and systems (2022), pp. 99-106
Closed Access | Times Cited: 3

Systematic Review on Neural Architecture Search
Sasan Salmani Pour Avval, Vahid Yaghoubi, Nathan D. Eskue, et al.
Research Square (Research Square) (2024)
Open Access

Forecasting trending jobs based on a Saudi's technological mega-corporation: STC Group
Ali Louati, Hassen Louati, Meshal Alharbi, et al.
Research Square (Research Square) (2024)
Open Access

Rate-Complexity Optimization in Lossless Neural-Based Image Compression
Lucas S. Lopes, Ricardo L. de Queiroz, Philip A. Chou
2022 IEEE International Conference on Image Processing (ICIP) (2024), pp. 1954-1959
Closed Access

Automatic crack classification on asphalt pavement surfaces using convolutional neural networks and transfer learning
Sandra Matarneh, Faris Elghaish, David J. Edwards, et al.
Journal of Information Technology in Construction (2024) Vol. 29, pp. 1239-1256
Open Access

EvoPrunerPool: An Evolutionary Pruner using Pruner Pool for Compressing Convolutional Neural Networks
C. Shunmuga Velayutham, Sujit Subramanian S, K Arvindram, et al.
(2023)
Closed Access | Times Cited: 1

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

Design and Compression Study for Convolutional Neural Networks Based on Evolutionary Optimization for Thoracic X-Ray Image Classification
Hassen Louati, Ali Louati, Slim Bechikh, et al.
Lecture notes in computer science (2022), pp. 283-296
Closed Access | Times Cited: 2

A Theoretical Analysis of Using Gradient Data for Sobolev Training in RKHS
Zain ul Abdeen, Ruoxi Jia, Vassilis Kekatos, et al.
IFAC-PapersOnLine (2023) Vol. 56, Iss. 2, pp. 3417-3422
Open Access

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