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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:

Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction
Min Han, Shoubo Feng, C. L. Philip Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2018) Vol. 31, Iss. 9, pp. 1809-1821
Closed Access | Times Cited: 116

Showing 26-50 of 116 citing articles:

Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series Prediction
Min Han, Weijie Li, Shoubo Feng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 6, pp. 2320-2329
Closed Access | Times Cited: 38
Broad stochastic configuration network for regression
Chenglong Zhang, Shifei Ding, Wei Du
Knowledge-Based Systems (2022) Vol. 243, pp. 108403-108403
Closed Access | Times Cited: 21
A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning under Concept-drift Environment
Wendong Zheng, Putian Zhao, Gang Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Closed Access | Times Cited: 21
Wind speed prediction utilizing dynamic spectral regression broad learning system coupled with multimodal information
Ziwen Gu, Yatao Shen, Zijian Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107856-107856
Closed Access | Times Cited: 4
MAS-DGAT-Net: A Dynamic Graph Attention Network with Multibranch Feature Extraction and Staged Fusion for EEG Emotion Recognition
Shuaiqi Liu, Xinrui Wang, Mingqi Jiang, et al.
Knowledge-Based Systems (2024) Vol. 305, pp. 112599-112599
Closed Access | Times Cited: 4
A hybrid model of stacked autoencoder and modified particle swarm optimization for multivariate chaotic time series forecasting
Xinghan Xu, Weijie Ren
Applied Soft Computing (2021) Vol. 116, pp. 108321-108321
Closed Access | Times Cited: 25
FEAT: A general framework for feature-aware multivariate time-series representation learning
S.-W. Kim, Euisuk Chung, Pilsung Kang
Knowledge-Based Systems (2023) Vol. 277, pp. 110790-110790
Closed Access | Times Cited: 10
Dynamic Submodular-Based Learning Strategy in Imbalanced Drifting Streams for Real-Time Safety Assessment in Nonstationary Environments
Zeyi Liu, Xiao He
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 3, pp. 3038-3051
Closed Access | Times Cited: 9
Synchronization of non-smooth chaotic systems via an improved reservoir computing
Guyue Wu, Longkun Tang, Jianli Liang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Load forecasting model considering dynamic coupling relationships using structured dynamic-inner latent variables and broad learning system
Ziwen Gu, Yatao Shen, Zijian Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108180-108180
Closed Access | Times Cited: 3
Application of a Hybrid Model Based on Echo State Network and Improved Particle Swarm Optimization in PM2.5 Concentration Forecasting: A Case Study of Beijing, China
Xinghan Xu, Weijie Ren
Sustainability (2019) Vol. 11, Iss. 11, pp. 3096-3096
Open Access | Times Cited: 29
A Construction of Robust Representations for Small Data Sets Using Broad Learning System
Huimin Tang, Peiwu Dong, Yong Shi
IEEE Transactions on Systems Man and Cybernetics Systems (2019) Vol. 51, Iss. 10, pp. 6074-6084
Closed Access | Times Cited: 27
Deep reconstruction of strange attractors from time series
William Gilpin
arXiv (Cornell University) (2020)
Open Access | Times Cited: 27
An Adaptive Social Spammer Detection Model With Semi-Supervised Broad Learning
Tie Qiu, Xize Liu, Xiaobo Zhou, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 10, pp. 4622-4635
Closed Access | Times Cited: 27
Weighted Kernel Fuzzy C-Means-Based Broad Learning Model for Time-Series Prediction of Carbon Efficiency in Iron Ore Sintering Process
Jie Hu, Min Wu, Luefeng Chen, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 6, pp. 4751-4763
Closed Access | Times Cited: 26
Type-2 fuzzy broad learning controller for wastewater treatment process
Honggui Han, Feifan Yang, Hongyan Yang, et al.
Neurocomputing (2021) Vol. 459, pp. 188-200
Closed Access | Times Cited: 23
Health Management of Dry-Type Transformer Based on Broad Learning System
Quanbo Ge, Mengmeng Wang, Haoyu Jiang, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 3, pp. 3027-3036
Closed Access | Times Cited: 21
Broad fuzzy cognitive map systems for time series classification
Kai Wu, Kaixin Yuan, Yingzhi Teng, et al.
Applied Soft Computing (2022) Vol. 128, pp. 109458-109458
Closed Access | Times Cited: 14
A Broad Learning System with Ensemble and Classification Methods for Multi-step-ahead Wind Speed Prediction
Lingzi Zhu, Cheng Lian, Zhigang Zeng, et al.
Cognitive Computation (2019) Vol. 12, Iss. 3, pp. 654-666
Closed Access | Times Cited: 25
Drought Prediction Method Based on an Improved CEEMDAN-QR-BL Model
Yang Liu, Wang Li-hu
IEEE Access (2021) Vol. 9, pp. 6050-6062
Open Access | Times Cited: 19
Cauchy regularized broad learning system for noisy data regression
Licheng Liu, Luyang Cai, Tingyun Liu, et al.
Information Sciences (2022) Vol. 603, pp. 210-221
Closed Access | Times Cited: 13
A novel broad learning system integrated with restricted Boltzmann machine and echo state network for time series forecasting
Yulei Zhang, Yuting Bai, Xuebo Jin, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108315-108315
Closed Access | Times Cited: 2
Quantized generalized maximum correntropy criterion based kernel recursive least squares for online time series prediction
Tianyu Shen, Weijie Ren, Min Han
Engineering Applications of Artificial Intelligence (2020) Vol. 95, pp. 103797-103797
Closed Access | Times Cited: 19
Sparse Bayesian Broad Learning System for Probabilistic Estimation of Prediction
Lili Xu, C. L. Philip Chen, Ruizhi Han
IEEE Access (2020) Vol. 8, pp. 56267-56280
Open Access | Times Cited: 18
Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series Prediction
Shoubo Feng, Min Han, Jiadong Zhang, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 6, pp. 4115-4125
Closed Access | Times Cited: 18

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