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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:

Copulas-based time series combined forecasters
Ricardo Tavares Antunes de Oliveira, Thaíze Fernandes O. de Assis, Paulo Renato Alves Firmino, et al.
Information Sciences (2016) Vol. 376, pp. 110-124
Closed Access | Times Cited: 17

Showing 17 citing articles:

Generalized exponential autoregressive models for nonlinear time series: Stationarity, estimation and applications
Guangyong Chen, Min Gan, Guolong Chen
Information Sciences (2018) Vol. 438, pp. 46-57
Closed Access | Times Cited: 83
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
A semi-heterogeneous approach to combining crude oil price forecasts
Jue Wang, Xiang Li, Tao Hong, et al.
Information Sciences (2018) Vol. 460-461, pp. 279-292
Closed Access | Times Cited: 64
A multi-granularity heterogeneous combination approach to crude oil price forecasting
Jue Wang, Hao Zhou, Tao Hong, et al.
Energy Economics (2020) Vol. 91, pp. 104790-104790
Closed Access | Times Cited: 64
Neural-Based Ensembles for Particulate Matter Forecasting
Paulo S. G. de Mattos Neto, Paulo Renato Alves Firmino, Hugo Valadares Siqueira, et al.
IEEE Access (2021) Vol. 9, pp. 14470-14490
Open Access | Times Cited: 49
An integrated approach implementing sliding window and DTW distance for time series forecasting tasks
Zhifu Tao, Qinghua Xu, Xi Liu, et al.
Applied Intelligence (2023) Vol. 53, Iss. 17, pp. 20614-20625
Closed Access | Times Cited: 12
Structural optimization for industrial sectors to achieve the targets of energy intensity mitigation in the urban cluster of the Pearl River Delta
Wencong Yue, Yanpeng Cai, Zhifeng Yang, et al.
Ecological Indicators (2018) Vol. 95, pp. 673-686
Closed Access | Times Cited: 24
A time-frequency-based interval decomposition ensemble method for forecasting gasoil prices under the trend of low-carbon development
Zichun Yan, Fangzhu Tian, Yuying Sun, et al.
Energy Economics (2024) Vol. 134, pp. 107609-107609
Closed Access | Times Cited: 2
An attention-PCA based forecast combination approach to crude oil price
Xiao Zhang, Cheng Sheng, Yifei Zhang, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122463-122463
Closed Access | Times Cited: 5
A hybrid copula and life cycle analysis approach for evaluating violation risks of GHG emission targets in food production under urbanization
Wencong Yue, Yanpeng Cai, Meirong Su, et al.
Journal of Cleaner Production (2018) Vol. 190, pp. 655-665
Open Access | Times Cited: 15
Reactive nitrogen loss from livestock-based food and biofuel production systems considering climate change and dietary transition
Wencong Yue, Meirong Su, Yanpeng Cai, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 135, pp. 110182-110182
Closed Access | Times Cited: 7
Merits of Different Dietary Patterns for Ensuring China's Future Food Security Satisfying Socioeconomic Development and Climate Change Adaptation
Wencong Yue, Meirong Su, Yanpeng Cai, et al.
(2024)
Closed Access
Crude oil price forecasting with multivariate selection, machine learning, and a nonlinear combination strategy
Yan Xu, Tianli Liu, Fang Qi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109510-109510
Closed Access
iEnsemble2: Committee Machine Model-Based on Heuristically-Accelerated Multiagent Reinforcement Learning
Arnoldo Uber, Paulo José de Freitas Filho, Ricardo Azambuja Silveira, et al.
Advances in intelligent systems and computing (2018), pp. 363-374
Closed Access | Times Cited: 3
Construction of Dependence Structure for Rainfall Stations by Joining Time Series Models with Copula Method
Rahmah Mohd Lokoman, Fadhilah Yusof, Nor Eliza Alias, et al.
Malaysian Journal of Fundamental and Applied Sciences (2021) Vol. 17, Iss. 4, pp. 306-320
Open Access | Times Cited: 2
Aggregation of Time Series Forecasts via Cacoullos Copula
Ricardo Tavares Antunes de Oliveira, Thaíze Fernandes O. de Assis, Paulo Renato Alves Firmino, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2018), pp. 1-7
Closed Access
A Short-Term Wind Power Forecasting Method Based on Hybrid-Kernel Least-Squares Support Vector Machine
Min Ding, Min Wu, Ryuichi Yokoyama, et al.
Studies in systems, decision and control (2021), pp. 395-411
Closed Access
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