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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:

Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization
Xue‐Bo Jin, Hongxing Wang, Xiaoyi Wang, et al.
Complexity (2020) Vol. 2020, pp. 1-14
Open Access | Times Cited: 24

Showing 24 citing articles:

Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization
Xue‐Bo Jin, Wei-Zhen Zheng, Jianlei Kong, et al.
Energies (2021) Vol. 14, Iss. 6, pp. 1596-1596
Open Access | Times Cited: 143
Hierarchical recursive signal modeling for multifrequency signals based on discrete measured data
Ling Xu, Feiyan Chen, Feng Ding, et al.
International Journal of Adaptive Control and Signal Processing (2021) Vol. 35, Iss. 5, pp. 676-693
Closed Access | Times Cited: 123
PFVAE: A Planar Flow-Based Variational Auto-Encoder Prediction Model for Time Series Data
Xue‐Bo Jin, Wen-Tao Gong, Jianlei Kong, et al.
Mathematics (2022) Vol. 10, Iss. 4, pp. 610-610
Open Access | Times Cited: 107
A Reversible Automatic Selection Normalization (RASN) Deep Network for Predicting in the Smart Agriculture System
Xue‐Bo Jin, Jiashuai Zhang, Jianlei Kong, et al.
Agronomy (2022) Vol. 12, Iss. 3, pp. 591-591
Open Access | Times Cited: 93
A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting
Xue‐Bo Jin, Wen-Tao Gong, Jianlei Kong, et al.
Entropy (2022) Vol. 24, Iss. 3, pp. 335-335
Open Access | Times Cited: 77
The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods
Xue‐Bo Jin, Ruben Johnson Robert Jeremiah, Tingli Su, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2085-2085
Open Access | Times Cited: 85
Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses
Ling Xu, Feng Ding, Quanmin Zhu
International Journal of Systems Science (2021), pp. 1-16
Closed Access | Times Cited: 75
A Study of Multilayer Perceptron Networks Applied to Classification of Ceramic Insulators Using Ultrasound
Nemesio Fava Sopelsa Neto, Stéfano Frizzo Stefenon, Luiz Henrique Meyer, et al.
Applied Sciences (2021) Vol. 11, Iss. 4, pp. 1592-1592
Open Access | Times Cited: 52
Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy
Xue‐Bo Jin, Xing-Hong Yu, Tingli Su, et al.
Entropy (2021) Vol. 23, Iss. 2, pp. 219-219
Open Access | Times Cited: 39
Compressive Strength Prediction Using Coupled Deep Learning Model with Extreme Gradient Boosting Algorithm: Environmentally Friendly Concrete Incorporating Recycled Aggregate
Mayadah W. Falah, Sadaam Hadee Hussein, Mohammed Ayad Saad, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 17
Recursive Identification for Fractional Order Hammerstein Model Based on ADELS
Qibing Jin, Youliang Ye, Wu Cai, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-16
Open Access | Times Cited: 13
Identification methods of nonlinear systems based on the kernel functions
Jimei Li, Feng Ding
Nonlinear Dynamics (2021) Vol. 104, Iss. 3, pp. 2537-2552
Closed Access | Times Cited: 9
Filtering-Based Parameter Identification Methods for Multivariable Stochastic Systems
Huafeng Xia, Feiyan Chen
Mathematics (2020) Vol. 8, Iss. 12, pp. 2254-2254
Open Access | Times Cited: 5
Parameter estimation for a class of radial basis function-based nonlinear time-series models with moving average noises
Yihong Zhou, Yanjiao Wang, Fengying Ma, et al.
Journal of the Franklin Institute (2021) Vol. 358, Iss. 4, pp. 2576-2595
Closed Access | Times Cited: 5
Averaging Principle for Caputo Fractional Stochastic Differential Equations Driven by Fractional Brownian Motion with Delays
Pengju Duan, Hao Li, Jie Li, et al.
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 5
Constructing Attention‐LSTM‐VAE Power Load Model Based on Multiple Features
Chaoyue Ma, Ying Wang, Feng Li, et al.
Advances in Mathematical Physics (2024) Vol. 2024, Iss. 1
Open Access
A comparative study of different deep learning methods for time-series probabilistic residential load power forecasting
Liangcai Zhou, Yi Zhou, Linlin Liu, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Command Filtering and Barrier Lyapunov Function‐Based Adaptive Control for PMSMs with Core Losses and All‐State Restrictions
Xiaoling Wang, Jinpeng Yu
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 4
The robust multi‐innovation estimation algorithm for Hammerstein non‐linear systems with non‐Gaussian noise
Xuehai Wang, Feng Ding
IET Control Theory and Applications (2021) Vol. 15, Iss. 7, pp. 989-1002
Closed Access | Times Cited: 4
Parameter estimation for an exponential autoregressive time series model by the Newton search and multi-innovation theory
Huan Xu, Feng Ding, Min Gan, et al.
International Journal of Systems Science (2021) Vol. 52, Iss. 12, pp. 2630-2645
Closed Access | Times Cited: 4
Recursive least-squares algorithm for a characteristic model with coloured noise by means of the data filtering technique
Lanjie Guo, Hao Wang, Zhe Lin
International Journal of Systems Science (2021) Vol. 52, Iss. 11, pp. 2397-2413
Closed Access | Times Cited: 3
Distributed Event-Triggered Output Synchronization of Complex-Valued Memristive Reaction-Diffusion Complex Networks with Spatial Sampled-Data
Tiane Chen, Zaihe Cheng
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 3
Robust H ∞ Feedback Compensator Design for Linear Parabolic DPSs with Pointwise/Piecewise Control and Pointwise/Piecewise Measurement
Yaqiang Liu, Zhigang Ren, Zengwang Jin
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 1
Deep Fusion Predictive Modeling Based on Noise Analysis
Xuebo Jin, Jiashuai Zhang, Tingli Su, et al.
2021 International Conference on Control, Automation and Information Sciences (ICCAIS) (2021), pp. 135-140
Closed Access
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