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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:

An improved feed-forward neural network based on UKF and strong tracking filtering to establish energy consumption model for aluminum electrolysis process
Lizhong Yao, Taifu Li, Yanyan Li, et al.
Neural Computing and Applications (2018) Vol. 31, Iss. 8, pp. 4271-4285
Closed Access | Times Cited: 18

Showing 18 citing articles:

Training Feed-Forward Multi-Layer Perceptron Artificial Neural Networks with a Tree-Seed Algorithm
Ahmet Cevahir Çınar
Arabian Journal for Science and Engineering (2020) Vol. 45, Iss. 12, pp. 10915-10938
Closed Access | Times Cited: 54
A novel SVD-UKFNN algorithm for predicting current efficiency of aluminum electrolysis
Xiaoyan Fang, Xihong Fei, Kang Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Optimization of aluminum fluoride addition in aluminum electrolysis process based on pruned sparse fuzzy neural network
Jie Wang, Yongfang Xie, Shiwen Xie, et al.
ISA Transactions (2022) Vol. 133, pp. 285-301
Closed Access | Times Cited: 16
Intelligent visual object tracking with particle filter based on Modified Grey Wolf Optimizer
M. Narayana, Hathiram Nenavath, Salim Chavan, et al.
Optik (2019) Vol. 193, pp. 162913-162913
Closed Access | Times Cited: 16
Efficient quality variable prediction of industrial process via fuzzy neural network with lightweight structure
Jie Wang, Shiwen Xie, Yongfang Xie, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 5
Multi-objective optimization driven by preponderant individuals and symmetric sampling for operational parameter design in aluminum electrolysis process
Lizhong Yao, Jia Chen, Ling Wang, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101574-101574
Closed Access | Times Cited: 1
A multiobjective prediction model with incremental learning ability by developing a multi-source filter neural network for the electrolytic aluminium process
Lizhong Yao, Wei Ding, Tiantian He, et al.
Applied Intelligence (2022) Vol. 52, Iss. 15, pp. 17387-17409
Open Access | Times Cited: 7
Piggybacking on past problem for faster optimization in aluminum electrolysis process design
Lizhong Yao, Tiantian He, Haijun Luo
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106937-106937
Closed Access | Times Cited: 3
Unsupervised heat balance indicator construction based on variational autoencoder and its application to aluminum electrolysis process monitoring
Jie Wang, Shiwen Xie, Yongfang Xie, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107237-107237
Closed Access | Times Cited: 3
Eye Movement Prediction Based on Adaptive BP Neural Network
Tang Yu-shou, Jianhuan Su
Scientific Programming (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 8
Dynamic evolutionary model based on a multi-sampling inherited HAPFNN for an aluminium electrolysis manufacturing system
Wei Ding, Lizhong Yao, Yanyan Li, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106925-106925
Closed Access | Times Cited: 7
Lower limb joint angle prediction using square root untraced Kalman neural network based on sEMG signal
Pengjie Qin, Jieyi Zhang
(2024), pp. 39-39
Closed Access
Incremental learning model based on an improved CKS-PFNN for aluminium electrolysis manufacturing
Wei Ding, Lizhong Yao, Yanyan Li, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 3, pp. 2083-2102
Closed Access | Times Cited: 3
Establishing the energy consumption prediction model of aluminum electrolysis process by genetically optimizing wavelet neural network
Lizhong Yao, Qian Fan, Lei Zhao, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 2
A novel tournament selection based on multilayer cultural characteristics in gene-culture coevolutionary multitasking
Lizhong Yao, Wei Long, Jun Yi, et al.
Soft Computing (2021) Vol. 25, Iss. 14, pp. 9529-9543
Closed Access | Times Cited: 2
An Improved UKFNN Based on Iterative Renewal for Intelligent Modeling of Aluminum Electrolysis
Lizhong Yao, Wei Long, Taifu Li, et al.
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) (2019), pp. 271-275
Closed Access
Distributed Unscented Filter with Minimum Sigma Set for Improved Performance
Chao-Yong Chang, Ze-Rui Qin, Peng Liu, et al.
(2020), pp. 5001-5006
Closed Access
Research of Improved Multi Fading Strong Tracking UKF for Fast In-motion Initial Alignment
Jianguo Liu, Xiyuan Chen, Jun‐Wei Wang
(2022), pp. 50-54
Closed Access
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