
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:
Parallel deep prediction with covariance intersection fusion on non-stationary time series
Zhigang Shi, Yuting Bai, Xuebo Jin, et al.
Knowledge-Based Systems (2020) Vol. 211, pp. 106523-106523
Closed Access | Times Cited: 34
Zhigang Shi, Yuting Bai, Xuebo Jin, et al.
Knowledge-Based Systems (2020) Vol. 211, pp. 106523-106523
Closed Access | Times Cited: 34
Showing 1-25 of 34 citing articles:
Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization
Xuebo Jin, Wei-Zhen Zheng, Jianlei Kong, et al.
Energies (2021) Vol. 14, Iss. 6, pp. 1596-1596
Open Access | Times Cited: 143
Xuebo Jin, Wei-Zhen Zheng, Jianlei Kong, et al.
Energies (2021) Vol. 14, Iss. 6, pp. 1596-1596
Open Access | Times Cited: 143
PFVAE: A Planar Flow-Based Variational Auto-Encoder Prediction Model for Time Series Data
Xuebo Jin, Wen-Tao Gong, Jianlei Kong, et al.
Mathematics (2022) Vol. 10, Iss. 4, pp. 610-610
Open Access | Times Cited: 108
Xuebo Jin, Wen-Tao Gong, Jianlei Kong, et al.
Mathematics (2022) Vol. 10, Iss. 4, pp. 610-610
Open Access | Times Cited: 108
The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods
Xuebo Jin, Ruben Johnson Robert Jeremiah, Tingli Su, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2085-2085
Open Access | Times Cited: 85
Xuebo Jin, Ruben Johnson Robert Jeremiah, Tingli Su, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2085-2085
Open Access | Times Cited: 85
Deep-Learning Temporal Predictor via Bidirectional Self-Attentive Encoder–Decoder Framework for IOT-Based Environmental Sensing in Intelligent Greenhouse
Xuebo Jin, Wei-Zhen Zheng, Jianlei Kong, et al.
Agriculture (2021) Vol. 11, Iss. 8, pp. 802-802
Open Access | Times Cited: 74
Xuebo Jin, Wei-Zhen Zheng, Jianlei Kong, et al.
Agriculture (2021) Vol. 11, Iss. 8, pp. 802-802
Open Access | Times Cited: 74
Multivariate time-series classification with hierarchical variational graph pooling
Ziheng Duan, Haoyan Xu, Yueyang Wang, et al.
Neural Networks (2022) Vol. 154, pp. 481-490
Open Access | Times Cited: 51
Ziheng Duan, Haoyan Xu, Yueyang Wang, et al.
Neural Networks (2022) Vol. 154, pp. 481-490
Open Access | Times Cited: 51
Using machine learning to anticipate tipping points and extrapolate to post-tipping dynamics of non-stationary dynamical systems
Dhruvit Patel, Edward Ott
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 2
Open Access | Times Cited: 30
Dhruvit Patel, Edward Ott
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 2
Open Access | Times Cited: 30
Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model
Manel Rhif, Ali Ben Abbes, Beatriz Martínez, et al.
Applied Soft Computing (2023) Vol. 137, pp. 110172-110172
Closed Access | Times Cited: 22
Manel Rhif, Ali Ben Abbes, Beatriz Martínez, et al.
Applied Soft Computing (2023) Vol. 137, pp. 110172-110172
Closed Access | Times Cited: 22
TCDformer: A transformer framework for non-stationary time series forecasting based on trend and change-point detection
Jiashan Wan, Na Xia, Yutao Yin, et al.
Neural Networks (2024) Vol. 173, pp. 106196-106196
Closed Access | Times Cited: 10
Jiashan Wan, Na Xia, Yutao Yin, et al.
Neural Networks (2024) Vol. 173, pp. 106196-106196
Closed Access | Times Cited: 10
Chaos theory meets deep learning: A new approach to time series forecasting
Bowen Jia, Huyu Wu, Kaiyu Guo
Expert Systems with Applications (2024) Vol. 255, pp. 124533-124533
Closed Access | Times Cited: 7
Bowen Jia, Huyu Wu, Kaiyu Guo
Expert Systems with Applications (2024) Vol. 255, pp. 124533-124533
Closed Access | Times Cited: 7
High return and low risk: Shaping composite financial investment decision in the new energy stock market
Qing Zhu, Xiaobo Zhou, Shan Liu
Energy Economics (2023) Vol. 122, pp. 106683-106683
Closed Access | Times Cited: 15
Qing Zhu, Xiaobo Zhou, Shan Liu
Energy Economics (2023) Vol. 122, pp. 106683-106683
Closed Access | Times Cited: 15
Review on intelligent pipeline technologies: A life cycle perspective
Zhuochao Li, Yongtu Liang, Youyi Liang, et al.
Computers & Chemical Engineering (2023) Vol. 175, pp. 108283-108283
Closed Access | Times Cited: 13
Zhuochao Li, Yongtu Liang, Youyi Liang, et al.
Computers & Chemical Engineering (2023) Vol. 175, pp. 108283-108283
Closed Access | Times Cited: 13
Causal structure learning for high-dimensional non-stationary time series
Siya Chen, HaoTian Wu, Guang Jin
Knowledge-Based Systems (2024) Vol. 295, pp. 111868-111868
Closed Access | Times Cited: 3
Siya Chen, HaoTian Wu, Guang Jin
Knowledge-Based Systems (2024) Vol. 295, pp. 111868-111868
Closed Access | Times Cited: 3
Data Fusion Based on Temperature Monitoring of Aquaculture Ponds With Wireless Sensor Networks
Haohui Chen, Xinyuan Nan, Sibo Xia
IEEE Sensors Journal (2022) Vol. 23, Iss. 1, pp. 6-20
Closed Access | Times Cited: 13
Haohui Chen, Xinyuan Nan, Sibo Xia
IEEE Sensors Journal (2022) Vol. 23, Iss. 1, pp. 6-20
Closed Access | Times Cited: 13
Traffic Transformer: Transformer-based framework for temporal traffic accident prediction
Mansoor G. Al-Thani, Ziyu Sheng, Yuting Cao, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 5, pp. 12610-12629
Open Access | Times Cited: 2
Mansoor G. Al-Thani, Ziyu Sheng, Yuting Cao, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 5, pp. 12610-12629
Open Access | Times Cited: 2
Online Attention Enhanced Differential and Decomposed LSTM for Time Series Prediction
Lina Li, Shengkui Huang, Guoxing Liu, et al.
IEEE Access (2024) Vol. 12, pp. 62416-62428
Open Access | Times Cited: 2
Lina Li, Shengkui Huang, Guoxing Liu, et al.
IEEE Access (2024) Vol. 12, pp. 62416-62428
Open Access | Times Cited: 2
Embracing Market Dynamics in the Post-COVID Era: A Data-Driven Analysis of Investor Sentiment and Behavioral Characteristics in Stock Index Futures Returns
Jie Gao, Chunguo Fan, Ting Liu, et al.
Omega (2024) Vol. 131, pp. 103193-103193
Closed Access | Times Cited: 2
Jie Gao, Chunguo Fan, Ting Liu, et al.
Omega (2024) Vol. 131, pp. 103193-103193
Closed Access | Times Cited: 2
Time-series forecasting based on fuzzy cognitive maps and GRU-autoencoder
Xiaoqian Liu, Yingjun Zhang, Jingping Wang, et al.
Soft Computing (2023)
Closed Access | Times Cited: 6
Xiaoqian Liu, Yingjun Zhang, Jingping Wang, et al.
Soft Computing (2023)
Closed Access | Times Cited: 6
Performance improvement for metro passenger flow forecast using spatio-temporal deep neural network
Jaison Mulerikkal, Sajanraj Thandassery, Vinith Rejathalal, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 2, pp. 983-994
Closed Access | Times Cited: 15
Jaison Mulerikkal, Sajanraj Thandassery, Vinith Rejathalal, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 2, pp. 983-994
Closed Access | Times Cited: 15
A Deep Learning Framework for Non-stationary Time Series Prediction
Lina Li, Shengkui Huang, Zirun Ouyang, et al.
2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA) (2022), pp. 339-342
Closed Access | Times Cited: 10
Lina Li, Shengkui Huang, Zirun Ouyang, et al.
2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA) (2022), pp. 339-342
Closed Access | Times Cited: 10
Gaussian Mixture Cardinalized Probability Hypothesis Density(GM-CPHD): A Distributed Filter Based on the Intersection of Parallel Inverse Covariances
Liu Wang, Guifen Chen, Guangjiao Chen
Sensors (2023) Vol. 23, Iss. 6, pp. 2921-2921
Open Access | Times Cited: 5
Liu Wang, Guifen Chen, Guangjiao Chen
Sensors (2023) Vol. 23, Iss. 6, pp. 2921-2921
Open Access | Times Cited: 5
Broad Echo State Network with Reservoir Pruning for Nonstationary Time Series Prediction
Wenjie Liu, Yuting Bai, Xuebo Jin, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 8
Wenjie Liu, Yuting Bai, Xuebo Jin, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 8
Hyperparameter Optimization of a Parallelized LSTM for Time Series Prediction
Muhammed Maruf Öztürk
Vietnam Journal of Computer Science (2023) Vol. 10, Iss. 03, pp. 303-328
Open Access | Times Cited: 4
Muhammed Maruf Öztürk
Vietnam Journal of Computer Science (2023) Vol. 10, Iss. 03, pp. 303-328
Open Access | Times Cited: 4
Continuous Positioning with Recurrent Auto-Regressive Neural Network for Unmanned Surface Vehicles in GPS Outages
Yuting Bai, Zhiyao Zhao, Xiaoyi Wang, et al.
Neural Processing Letters (2022) Vol. 54, Iss. 2, pp. 1413-1434
Closed Access | Times Cited: 6
Yuting Bai, Zhiyao Zhao, Xiaoyi Wang, et al.
Neural Processing Letters (2022) Vol. 54, Iss. 2, pp. 1413-1434
Closed Access | Times Cited: 6
Data-driven modeling of municipal water system responses to hydroclimate extremes
Ryan Johnson, Steven J. Burian, Carlos Oroza, et al.
Journal of Hydroinformatics (2023) Vol. 25, Iss. 5, pp. 1584-1609
Open Access | Times Cited: 2
Ryan Johnson, Steven J. Burian, Carlos Oroza, et al.
Journal of Hydroinformatics (2023) Vol. 25, Iss. 5, pp. 1584-1609
Open Access | Times Cited: 2
Adaptive Broad Echo State Network for Nonstationary Time Series Forecasting
Wenjie Liu, Yuting Bai, Xuebo Jin, et al.
Mathematics (2022) Vol. 10, Iss. 17, pp. 3188-3188
Open Access | Times Cited: 4
Wenjie Liu, Yuting Bai, Xuebo Jin, et al.
Mathematics (2022) Vol. 10, Iss. 17, pp. 3188-3188
Open Access | Times Cited: 4