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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:

Real time prediction for converter gas tank levels based on multi-output least square support vector regressor
Zhongyang Han, Ying Liu, Jun Zhao, et al.
Control Engineering Practice (2012) Vol. 20, Iss. 12, pp. 1400-1409
Closed Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

A survey on multi‐output regression
Hanen Borchani, Gherardo Varando, Concha Bielza, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2015) Vol. 5, Iss. 5, pp. 216-233
Open Access | Times Cited: 566
A Review of Deep Learning Models for Time Series Prediction
Zhongyang Han, Jun Zhao, Henry Leung, et al.
IEEE Sensors Journal (2019) Vol. 21, Iss. 6, pp. 7833-7848
Closed Access | Times Cited: 304
Surrogate-assisted particle swarm optimization algorithm with Pareto active learning for expensive multi-objective optimization
Zhiming Lv, Linqing Wang, Zhongyang Han, et al.
IEEE/CAA Journal of Automatica Sinica (2019) Vol. 6, Iss. 3, pp. 838-849
Closed Access | Times Cited: 139
An analysis-forecast system for uncertainty modeling of wind speed: A case study of large-scale wind farms
Jianzhou Wang, Tong Niu, Haiyan Lu, et al.
Applied Energy (2017) Vol. 211, pp. 492-512
Open Access | Times Cited: 88
A time series model based on hybrid-kernel least-squares support vector machine for short-term wind power forecasting
Min Ding, Hao Zhou, Hua Xie, et al.
ISA Transactions (2020) Vol. 108, pp. 58-68
Closed Access | Times Cited: 69
Multi-target normal behaviour models for wind farm condition monitoring
Angela Meyer
Applied Energy (2021) Vol. 300, pp. 117342-117342
Open Access | Times Cited: 61
Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network
Óscar Reyes, Sebastián Ventura
International Journal of Neural Systems (2019) Vol. 29, Iss. 09, pp. 1950014-1950014
Closed Access | Times Cited: 61
Feature ranking for multi-target regression
Matej Petković, Dragi Kocev, Sašo Džeroski
Machine Learning (2019) Vol. 109, Iss. 6, pp. 1179-1204
Open Access | Times Cited: 61
Multivariate long sequence time-series forecasting using dynamic graph learning
Xiaohu Wang, Yong Wang, Jianjian Peng, et al.
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 6, pp. 7679-7693
Closed Access | Times Cited: 15
Granular Model of Long-Term Prediction for Energy System in Steel Industry
Jun Zhao, Zhongyang Han, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics (2015) Vol. 46, Iss. 2, pp. 388-400
Closed Access | Times Cited: 55
Uncertainty modeling for chaotic time series based on optimal multi-input multi-output architecture: Application to offshore wind speed
Tong Niu, Jianzhou Wang, Haiyan Lu, et al.
Energy Conversion and Management (2017) Vol. 156, pp. 597-617
Closed Access | Times Cited: 45
Semi-supervised trees for multi-target regression
Jurica Levatić, Dragi Kocev, Michelangelo Ceci, et al.
Information Sciences (2018) Vol. 450, pp. 109-127
Open Access | Times Cited: 45
Hierarchical Granular Computing-Based Model and Its Reinforcement Structural Learning for Construction of Long-Term Prediction Intervals
Zhongyang Han, Witold Pedrycz, Jun Zhao, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 1, pp. 666-676
Closed Access | Times Cited: 34
A critical review of multi-output support vector regression
Nguyen Khoa Tran, Laura C. Kühle, Gunnar W. Klau
Pattern Recognition Letters (2023) Vol. 178, pp. 69-75
Closed Access | Times Cited: 11
Probability density function of bubble size based reagent dosage predictive control for copper roughing flotation
Jianyong Zhu, Weihua Gui, Chunhua Yang, et al.
Control Engineering Practice (2014) Vol. 29, pp. 1-12
Open Access | Times Cited: 41
A two-stage method for predicting and scheduling energy in an oxygen/nitrogen system of the steel industry
Zhongyang Han, Jun Zhao, Wei Wang, et al.
Control Engineering Practice (2016) Vol. 52, pp. 35-45
Closed Access | Times Cited: 37
An energy efficient decision-making strategy of burden distribution for blast furnace
Min Wu, Kexin Zhang, Jianqi An, et al.
Control Engineering Practice (2018) Vol. 78, pp. 186-195
Closed Access | Times Cited: 34
Ensembles for multi-target regression with random output selections
Martin Breskvar, Dragi Kocev, Sašo Džeroski
Machine Learning (2018) Vol. 107, Iss. 11, pp. 1673-1709
Open Access | Times Cited: 32
Multi-objective combustion optimization based on data-driven hybrid strategy
Wei Zheng, Chao Wang, Yajun Yang, et al.
Energy (2019) Vol. 191, pp. 116478-116478
Closed Access | Times Cited: 32
Feature selection for semi-supervised multi-target regression using genetic algorithm
Farrukh Hasan Syed, Muhammad Atif Tahir, Muhammad Rafi, et al.
Applied Intelligence (2021) Vol. 51, Iss. 12, pp. 8961-8984
Closed Access | Times Cited: 26
Multi-output Support Vector Frontiers
Daniel Valero-Carreras, Juan Aparicio, Nadia M. Guerrero
Computers & Operations Research (2022) Vol. 143, pp. 105765-105765
Open Access | Times Cited: 17
A Dynamic Scheduling Framework for Byproduct Gas System Combining Expert Knowledge and Production Plan
Tianyu Wang, Jun Zhao, Qingshan Xu, et al.
IEEE Transactions on Automation Science and Engineering (2022) Vol. 20, Iss. 1, pp. 541-552
Closed Access | Times Cited: 16
Prediction Interval Construction for Byproduct Gas Flow Forecasting Using Optimized Twin Extreme Learning Machine
Xueying Sun, Zhuo Wang, Jingtao Hu
Mathematical Problems in Engineering (2017) Vol. 2017, Iss. 1
Open Access | Times Cited: 32
Granular-computing based hybrid collaborative fuzzy clustering for long-term prediction of multiple gas holders levels
Zhongyang Han, Jun Zhao, Quanli Liu, et al.
Information Sciences (2015) Vol. 330, pp. 175-185
Closed Access | Times Cited: 26
An efficient gradient-based model selection algorithm for multi-output least-squares support vector regression machines
Xinqi Zhu, Zhenghong Gao
Pattern Recognition Letters (2018) Vol. 111, pp. 16-22
Closed Access | Times Cited: 25
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