Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 on metaheuristic optimization for random single-hidden layer feedforward neural network
Fei Han, Jing Jiang, Qing-Hua Ling, et al.
Neurocomputing (2018) Vol. 335, pp. 261-273
Closed Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

A stochastic configuration network based on chaotic sparrow search algorithm
Chenglong Zhang, Shifei Ding
Knowledge-Based Systems (2021) Vol. 220, pp. 106924-106924
Closed Access | Times Cited: 275
Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy
Zhennao Cai, Jianhua Gu, Jie Luo, et al.
Expert Systems with Applications (2019) Vol. 138, pp. 112814-112814
Closed Access | Times Cited: 217
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: 151
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
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: 31
Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions
Xiaoan Yan, Ying Liu, Minping Jia
Knowledge-Based Systems (2020) Vol. 193, pp. 105484-105484
Closed Access | Times Cited: 118
Pressure prediction of a spark ignition single cylinder engine using optimized extreme learning machine models
Viviana Cocco Mariani, Stephan Hennings Och, Leandro dos Santos Coelho, et al.
Applied Energy (2019) Vol. 249, pp. 204-221
Closed Access | Times Cited: 82
Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm
Jianfu Xia, Daqing Yang, Hong Zhou, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105137-105137
Closed Access | Times Cited: 78
A Compact Constraint Incremental Method for Random Weight Networks and Its Application
Qianjin Wang, Wei Dai, Chunfu Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 11, pp. 16936-16944
Closed Access | Times Cited: 39
Data-driven green energy extraction: Machine learning-based MPPT control with efficient fault detection method for the hybrid PV-TEG system
Kamran Khan, Saad Rashid, Majad Mansoor, et al.
Energy Reports (2023) Vol. 9, pp. 3604-3623
Open Access | Times Cited: 30
Improved Reptile Search Optimization Algorithm: Application on Regression and Classification Problems
Muhammad Kamran Khan, Muhammad Hamza Zafar, Saad Rashid, et al.
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 945-945
Open Access | Times Cited: 21
Artificial neural network modeling of photocatalytic degradation of pollutants: a review of photocatalyst, optimum parameters and model topology
Susmita Das, Snehal Moon, Ramanpreet Kaur, et al.
Catalysis Reviews (2024), pp. 1-35
Open Access | Times Cited: 10
Efficient network architecture search via multiobjective particle swarm optimization based on decomposition
Jing Jiang, Fei Han, Qing-Hua Ling, et al.
Neural Networks (2019) Vol. 123, pp. 305-316
Closed Access | Times Cited: 73
Optimal model-free backstepping control for a quadrotor helicopter
Hossam Eddine Glida, Latifa Abdou, Abdelghani Chelihi, et al.
Nonlinear Dynamics (2020) Vol. 100, Iss. 4, pp. 3449-3468
Closed Access | Times Cited: 62
Image Processing-Based Pitting Corrosion Detection Using Metaheuristic Optimized Multilevel Image Thresholding and Machine-Learning Approaches
Nhat‐Duc Hoang
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-19
Open Access | Times Cited: 60
Integrative numerical modeling and thermodynamic optimal design of counter-flow plate-fin heat exchanger applying neural networks
Carlos Augusto Richter do Nascimento, Viviana Cocco Mariani, Leandro dos Santos Coelho
International Journal of Heat and Mass Transfer (2020) Vol. 159, pp. 120097-120097
Closed Access | Times Cited: 56
A hybrid particle swarm optimization with crisscross learning strategy
Baoxian Liang, Yunlong Zhao, Yang Li
Engineering Applications of Artificial Intelligence (2021) Vol. 105, pp. 104418-104418
Closed Access | Times Cited: 41
Many-objective coevolutionary learning algorithm with extreme learning machine auto-encoder for ensemble classifier of feedforward neural networks
Hong Li, Lixia Bai, Weifeng Gao, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123186-123186
Closed Access | Times Cited: 6
Combining machine translation and automated scoring in international large-scale assessments
Ji Yoon Jung, Lillian Tyack, Matthias von Davier
Large-scale Assessments in Education (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 5
Path Planning of Mobile Robot Based on Improved Multiobjective Genetic Algorithm
Kairong Li, Qianqian Hu, Jinpeng Liu
Wireless Communications and Mobile Computing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 40
Multilayer extreme learning machine: a systematic review
Ravneet Kaur, Rajendra Kumar Roul, Shalini Batra
Multimedia Tools and Applications (2023) Vol. 82, Iss. 26, pp. 40269-40307
Closed Access | Times Cited: 14
WPO: A Whale Particle Optimization Algorithm
Ko-Wei Huang, Ze-Xue Wu, Chang-Long Jiang, et al.
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 13
A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models
Hussein Mohammed Ridha, Hashim Hizam, Seyedali Mirjalili, et al.
Next Energy (2025) Vol. 8, pp. 100256-100256
Closed Access
A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems
Jing Jiang, Fei Han, Jie Wang, et al.
Swarm and Evolutionary Computation (2022) Vol. 72, pp. 101093-101093
Closed Access | Times Cited: 21
Memetic algorithms for training feedforward neural networks: an approach based on gravitational search algorithm
Ricardo Garćıa-Ródenas, Luis Jiménez, Julio Alberto López-Gómez
Neural Computing and Applications (2020) Vol. 33, Iss. 7, pp. 2561-2588
Open Access | Times Cited: 31
Page 1 - Next Page

Scroll to top