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:

A survey of swarm and evolutionary computing approaches for deep learning
Ashraf Darwish, Aboul Ella Hassanien, Swagatam Das
Artificial Intelligence Review (2019) Vol. 53, Iss. 3, pp. 1767-1812
Closed Access | Times Cited: 154

Showing 1-25 of 154 citing articles:

A Survey on Evolutionary Neural Architecture Search
Yuqiao Liu, Yanan Sun, Bing Xue, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 2, pp. 550-570
Open Access | Times Cited: 373

A systematic review on overfitting control in shallow and deep neural networks
Mohammad Mahdi Bejani, Mehdi Ghatee
Artificial Intelligence Review (2021) Vol. 54, Iss. 8, pp. 6391-6438
Closed Access | Times Cited: 346

Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review
Mohd Syahril Ramadhan Mohd Saufi, Zair Asrar Ahmad, M. Salman Leong, et al.
IEEE Access (2019) Vol. 7, pp. 122644-122662
Open Access | Times Cited: 227

An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis
Ashraf Darwish, Dalia Ezzat, Aboul Ella Hassanien
Swarm and Evolutionary Computation (2019) Vol. 52, pp. 100616-100616
Closed Access | Times Cited: 224

A survey on hyperparameters optimization algorithms of forecasting models in smart grid
Rabiya Khalid, Nadeem Javaid
Sustainable Cities and Society (2020) Vol. 61, pp. 102275-102275
Closed Access | Times Cited: 153

Evolutionary Machine Learning: A Survey
Akbar Telikani, Amirhessam Tahmassebi, Wolfgang Banzhaf, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 8, pp. 1-35
Open Access | Times Cited: 143

From federated learning to federated neural architecture search: a survey
Hangyu Zhu, Haoyu Zhang, Yaochu Jin
Complex & Intelligent Systems (2021) Vol. 7, Iss. 2, pp. 639-657
Open Access | Times Cited: 138

An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation
Wu Deng, Hongcheng Ni, Yi Liu, et al.
Applied Soft Computing (2022) Vol. 127, pp. 109419-109419
Closed Access | Times Cited: 130

Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review
Mehrdad Kaveh, Mohammad Saadi Mesgari
Neural Processing Letters (2022) Vol. 55, Iss. 4, pp. 4519-4622
Open Access | Times Cited: 129

Evolutionary deep learning: A survey
Zhi‐Hui Zhan, Jian-Yu Li, Jun Zhang
Neurocomputing (2022) Vol. 483, pp. 42-58
Closed Access | Times Cited: 128

Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges
Edgar Galván, Peter Mooney
IEEE Transactions on Artificial Intelligence (2021) Vol. 2, Iss. 6, pp. 476-493
Open Access | Times Cited: 126

Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing
David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e352-e352
Open Access | Times Cited: 113

A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier
Javeria Amin, Muhammad Almas Anjum, Muhammad Sharif, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 76

Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues
Nan Li, Lianbo Ma, Guo Yu, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 2, pp. 1-34
Open Access | Times Cited: 67

Particle Swarm Optimization or Differential Evolution—A comparison
A. Piotrowski, Jarosław J. Napiórkowski, Agnieszka E. Piotrowska
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106008-106008
Closed Access | Times Cited: 63

A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks
Mohaimenul Azam Khan Raiaan, Sadman Sakib, Nur Mohammad Fahad, et al.
Decision Analytics Journal (2024) Vol. 11, pp. 100470-100470
Open Access | Times Cited: 47

AI in renewable energy: A review of predictive maintenance and energy optimization
Ahmad Hamdan, Kenneth Ifeanyi Ibekwe, Valentine Ikenna Ilojianya, et al.
International Journal of Science and Research Archive (2024) Vol. 11, Iss. 1, pp. 718-729
Open Access | Times Cited: 43

Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model
Francisco Martínez–Álvarez, Gualberto Asencio-Cortés, J. F. Torres, et al.
Big Data (2020) Vol. 8, Iss. 4, pp. 308-322
Open Access | Times Cited: 73

A Survey on Evolutionary Construction of Deep Neural Networks
Xun Zhou, A. K. Qin, Maoguo Gong, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 5, pp. 894-912
Open Access | Times Cited: 73

A Deep Learning Model Based on Multi-Objective Particle Swarm Optimization for Scene Classification in Unmanned Aerial Vehicles
A. Rajagopal, Gyanendra Prasad Joshi, A. Ramachandran, et al.
IEEE Access (2020) Vol. 8, pp. 135383-135393
Open Access | Times Cited: 72

Pruning Deep Convolutional Neural Networks Architectures with Evolution Strategy
Francisco Erivaldo Fernandes, Gary G. Yen
Information Sciences (2020) Vol. 552, pp. 29-47
Open Access | Times Cited: 72

An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting
Gourav Kumar, Uday Pratap Singh, Sanjeev Jain
Soft Computing (2022) Vol. 26, Iss. 22, pp. 12115-12135
Open Access | Times Cited: 42

Automatic design of machine learning via evolutionary computation: A survey
Nan Li, Lianbo Ma, Tiejun Xing, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110412-110412
Closed Access | Times Cited: 28

Improved differential evolution algorithm based convolutional neural network for emotional analysis of music data
Jiajia Li, Samaneh Soradi‐Zeid, Amin Yousefpour, et al.
Applied Soft Computing (2024) Vol. 153, pp. 111262-111262
Closed Access | Times Cited: 13

Metaheuristics for pruning convolutional neural networks: A comparative study
Vikas Palakonda, Jamshid Tursunboev, Jae‐Mo Kang, et al.
Expert Systems with Applications (2025), pp. 126326-126326
Closed Access | Times Cited: 1

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