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:

EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks
Javier Poyatos, Daniel Molina, Aritz D. Martinez, et al.
Neural Networks (2022) Vol. 158, pp. 59-82
Open Access | Times Cited: 32

Showing 26-50 of 32 citing articles:

A lightweight model design approach for few-shot malicious traffic classification
Ruonan Wang, Minhuan Huang, Jinjing Zhao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Optimization of Deep Neural Networks Using a Micro Genetic Algorithm
Ricardo Landa Becerra, David Tovias-Alanis, Gregorio Toscano‐Pulido
AI (2024) Vol. 5, Iss. 4, pp. 2651-2679
Open Access

A selective model for transfer learning in CNNs: optimization of fine-tuning layers
Otmane Mallouk, Nour‐Eddine Joudar, Mohamed Ettaouil
International Journal of Data Science and Analytics (2024)
Closed Access

Enhanced prediction of end-point carbon content in electric arc furnaces using Bayesian optimised fully connected neural networks with early stopping
Hong‐Chun Zhu, Hongbin Lu, Zhouhua Jiang, et al.
Ironmaking & Steelmaking Processes Products and Applications (2024)
Closed Access

Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
Javier Poyatos, Daniel Molina, Aitor Martínez, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1

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

Compressing Wav2vec2 for Embedded Applications
Oswaldo Ludwig, Tom Claes
(2023), pp. 1-6
Closed Access

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