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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:

Efficient Hyperparameter Optimization for Convolution Neural Networks in Deep Learning: A Distributed Particle Swarm Optimization Approach
Yu Guo, Jian-Yu Li, Zhi‐Hui Zhan
Cybernetics & Systems (2020) Vol. 52, Iss. 1, pp. 36-57
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Evolutionary deep learning: A survey
Zhi‐Hui Zhan, Jian-Yu Li, Jun Zhang
Neurocomputing (2022) Vol. 483, pp. 42-58
Closed Access | Times Cited: 127
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: 120
SAFE: Scale-Adaptive Fitness Evaluation Method for Expensive Optimization Problems
Sheng-Hao Wu, Zhi‐Hui Zhan, Jun Zhang
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 3, pp. 478-491
Open Access | Times Cited: 105
Evolutionary Computation for Expensive Optimization: A Survey
Jian-Yu Li, Zhi‐Hui Zhan, Jun Zhang
Deleted Journal (2022) Vol. 19, Iss. 1, pp. 3-23
Open Access | Times Cited: 89
Distributed Differential Evolution With Adaptive Resource Allocation
Jian-Yu Li, Ke-Jing Du, Zhi‐Hui Zhan, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 5, pp. 2791-2804
Closed Access | Times Cited: 70
Region Encoding Helps Evolutionary Computation Evolve Faster: A New Solution Encoding Scheme in Particle Swarm for Large-Scale Optimization
Jun-Rong Jian, Zong-Gan Chen, Zhi‐Hui Zhan, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 4, pp. 779-793
Open Access | Times Cited: 82
Matrix-Based Evolutionary Computation
Zhi‐Hui Zhan, Jun Zhang, Ying Lin, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2021) Vol. 6, Iss. 2, pp. 315-328
Open Access | Times Cited: 79
Efficient Deep Neural Networks for Classification of Alzheimer’s Disease and Mild Cognitive Impairment from Scalp EEG Recordings
Saman Fouladi, Ali Safaei, Nadia Mammone, et al.
Cognitive Computation (2022) Vol. 14, Iss. 4, pp. 1247-1268
Closed Access | Times Cited: 66
Quantum Behaved Particle Swarm Optimization-Based Deep Transfer Learning Model for Sugarcane Leaf Disease Detection and Classification
T. Tamilvizhi, R Surendran, K. Anbazhagan, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 66
A data-driven approach based on deep neural networks for lithium-ion battery prognostics
Ahmet Kara
Neural Computing and Applications (2021) Vol. 33, Iss. 20, pp. 13525-13538
Closed Access | Times Cited: 59
Learning-Aided Evolution for Optimization
Zhi‐Hui Zhan, Jian-Yu Li, Sam Kwong, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 6, pp. 1794-1808
Open Access | Times Cited: 57
Dual Differential Grouping: A More General Decomposition Method for Large-Scale Optimization
Jian-Yu Li, Zhi‐Hui Zhan, Kay Chen Tan, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 6, pp. 3624-3638
Open Access | Times Cited: 38
Scale adaptive fitness evaluation‐based particle swarm optimisation for hyperparameter and architecture optimisation in neural networks and deep learning
Ye‐Qun Wang, Jian‐Yu Li, Chunhua Chen, et al.
CAAI Transactions on Intelligence Technology (2022) Vol. 8, Iss. 3, pp. 849-862
Open Access | Times Cited: 37
Genetic algorithm-based hyperparameter optimization of deep learning models for PM2.5 time-series prediction
Caner Erden
International Journal of Environmental Science and Technology (2023) Vol. 20, Iss. 3, pp. 2959-2982
Closed Access | Times Cited: 35
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: 27
Generation-Level Parallelism for Evolutionary Computation: A Pipeline-Based Parallel Particle Swarm Optimization
Jian-Yu Li, Zhi‐Hui Zhan, Run-Dong Liu, et al.
IEEE Transactions on Cybernetics (2020) Vol. 51, Iss. 10, pp. 4848-4859
Closed Access | Times Cited: 60
Surrogate-Assisted Hybrid-Model Estimation of Distribution Algorithm for Mixed-Variable Hyperparameters Optimization in Convolutional Neural Networks
Jian-Yu Li, Zhi‐Hui Zhan, Jin Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 5, pp. 2338-2352
Open Access | Times Cited: 48
An Automated Hyperparameter Tuning Recurrent Neural Network Model for Fruit Classification
K. Shankar, Sachin Kumar, Ashit Kumar Dutta, et al.
Mathematics (2022) Vol. 10, Iss. 13, pp. 2358-2358
Open Access | Times Cited: 29
Multiple Tasks for Multiple Objectives: A New Multiobjective Optimization Method via Multitask Optimization
Jian-Yu Li, Zhi‐Hui Zhan, Yun Li, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 29, Iss. 1, pp. 172-186
Open Access | Times Cited: 20
Building segmentation from UAV orthomosaics using unet-resnet-34 optimised with grey wolf optimisation algorithm
Richmond Akwasi Nsiah, Saviour Mantey, Yao Yevenyo Ziggah
Smart Construction and Sustainable Cities (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 16
Hybrid multi-objective evolutionary model compression with convolutional neural networks
Shuhan Zhang, Yanjie Gao
Results in Engineering (2024) Vol. 21, pp. 101751-101751
Open Access | Times Cited: 6
Comparative analysis of different machine learning algorithms for predicting trace metal concentrations in soils under intensive paddy cultivation
Mehmet Taşan, Yusuf Demir, Sevda Taşan, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108772-108772
Closed Access | Times Cited: 5
Hyperparameter Tuning of Fine-Tuned VGG19 Using Sine Cosine Algorithm for Acute Lymphoblastic Leukemia Detection
Rabul Saikia, Roopam Deka, Anupam Sarma, et al.
Lecture notes in networks and systems (2025), pp. 3-14
Closed Access
Comparative Study of Machine Learning and System Identification for Process Systems Engineering Dynamics
Akhil Ahmed, Ehecatl Antonio del Río-Chanona, Mehmet Mercangöz
Industrial & Engineering Chemistry Research (2025) Vol. 64, Iss. 8, pp. 4450-4478
Open Access
Novel hybrid success history intelligent optimizer with Gaussian transformation: application in CNN hyperparameter tuning
Hussam N. Fakhouri, Sadi Alawadi, Feras M. Awaysheh, et al.
Cluster Computing (2023) Vol. 27, Iss. 3, pp. 3717-3739
Closed Access | Times Cited: 12
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