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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:

Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges
Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodríguez, et al.
Information Fusion (2020) Vol. 67, pp. 161-194
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead
Kai Zhang, Feng Zhang, Wenbo Wan, et al.
Information Fusion (2023) Vol. 93, pp. 227-242
Open Access | Times Cited: 68
Deep neural networks in the cloud: Review, applications, challenges and research directions
Kit Yan Chan, Bilal Abu-Salih, Raneem Qaddoura, et al.
Neurocomputing (2023) Vol. 545, pp. 126327-126327
Open Access | Times Cited: 47
Hybrid approaches to optimization and machine learning methods: a systematic literature review
Beatriz Flamia Azevedo, Ana Maria A. C. Rocha, Ana I. Pereira
Machine Learning (2024) Vol. 113, Iss. 7, pp. 4055-4097
Open Access | Times Cited: 46
Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, et al.
Cognitive Computation (2022) Vol. 14, Iss. 3, pp. 927-954
Closed Access | Times Cited: 66
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance
Isaac Triguero, Daniel Molina, Javier Poyatos, et al.
Information Fusion (2023) Vol. 103, pp. 102135-102135
Open Access | Times Cited: 21
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning
Aritz D. Martinez, Javier Del Ser, Eneko Osaba, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 2, pp. 233-247
Closed Access | Times Cited: 41
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
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations
Daniel Molina, Javier Poyatos, Javier Del Ser, et al.
Cognitive Computation (2020) Vol. 12, Iss. 5, pp. 897-939
Open Access | Times Cited: 41
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization
Alejandro Rosales-Pérez, Salvador García, Francisco Herrera
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 8, pp. 4735-4747
Open Access | Times Cited: 19
Vessel-GAN: Angiographic reconstructions from myocardial CT perfusion with explainable generative adversarial networks
Chulin Wu, Heye Zhang, Jiaqi Chen, et al.
Future Generation Computer Systems (2021) Vol. 130, pp. 128-139
Closed Access | Times Cited: 25
X-Wines: A Wine Dataset for Recommender Systems and Machine Learning
Rogério Xavier de Azambuja, A. Jorge Morais, Vítor Filipe
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 20-20
Open Access | Times Cited: 9
Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness
Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110757-110757
Open Access | Times Cited: 9
Cardiac disease detection using cuckoo search enabled deep belief network
P. Nandakumar, Subhashini Narayan
Intelligent Systems with Applications (2022) Vol. 16, pp. 200131-200131
Open Access | Times Cited: 14
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification
Ying Bi, Bing Xue, Mengjie Zhang
IEEE Transactions on Evolutionary Computation (2022) Vol. 28, Iss. 2, pp. 307-322
Open Access | Times Cited: 14
Peculiarities of Ukrainians’ Approval of Decentralization Reform
Marta Dmytryshyn, Roman Dmytryshyn, Valentyna Yakubiv, et al.
Administrative Sciences (2021) Vol. 11, Iss. 4, pp. 104-104
Open Access | Times Cited: 19
An Improved Bees Algorithm for Training Deep Recurrent Networks for Sentiment Classification
Sultan Zeybek, Duc Truong Pham, Ebubekir Koç, et al.
Symmetry (2021) Vol. 13, Iss. 8, pp. 1347-1347
Open Access | Times Cited: 18
Continuous Cartesian Genetic Programming based representation for multi-objective neural architecture search
Cosijopii Garcia-Garcia, Alicia Morales-Reyes, Hugo Jair Escalante
Applied Soft Computing (2023) Vol. 147, pp. 110788-110788
Open Access | Times Cited: 4
Controllable Model Compression for Roadside Camera Depth Estimation
Jose Jaena Mari Ople, Shang‐Fu Chen, Yung-Yao Chen, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 12, pp. 15478-15485
Open Access | Times Cited: 6
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems
Javier Del Ser, Eneko Osaba, Aritz D. Martinez, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2021), pp. 1-7
Closed Access | Times Cited: 5
Progressive Self-supervised Multi-objective NAS for Image Classification
Cosijopii Garcia-Garcia, Alicia Morales-Reyes, Hugo Jair Escalante
Lecture notes in computer science (2024), pp. 180-195
Closed Access
X-Model4Rec: An Extensible Recommender Model Based on the User’s Dynamic Taste Profile
Rogério Xavier de Azambuja, A. Jorge Morais, Vítor Filipe
Human-Centric Intelligent Systems (2024) Vol. 4, Iss. 3, pp. 344-362
Open Access
Factorized models in neural architecture search: Impact on computational costs and performance
Unai Garciarena, Alexander Mendiburu, Roberto Santana
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 31, pp. 1-8
Closed Access
Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression
Javier Del Ser, Aitor Martínez-Seras, Miren Nekane Bilbao, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 31, pp. 1-8
Closed Access
Speeding up the Multi-objective NAS Through Incremental Learning
Cosijopii Garcia-Garcia, Bilel Derbel, Alicia Morales-Reyes, et al.
Lecture notes in computer science (2024), pp. 3-15
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
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