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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:

A novel ensemble deep learning model with dynamic error correction and multi-objective ensemble pruning for time series forecasting
Shuai Zhang, Yong Chen, Wenyu Zhang, et al.
Information Sciences (2020) Vol. 544, pp. 427-445
Closed Access | Times Cited: 110

Showing 26-50 of 110 citing articles:

An explainable ensemble machine learning model to elucidate the influential drilling parameters based on rate of penetration prediction
Zhipeng Feng, Hamdan Gani, Annisa Dwi Damayanti, et al.
Geoenergy Science and Engineering (2023) Vol. 231, pp. 212231-212231
Closed Access | Times Cited: 16
Comprehensive commodity price forecasting framework using text mining methods
Wuyue An, Lin Wang, Dongfeng Zhang
Journal of Forecasting (2023) Vol. 42, Iss. 7, pp. 1865-1888
Closed Access | Times Cited: 15
A hybrid system based on ensemble learning to model residuals for time series forecasting
Domingos S. de O. Santos, Paulo S. G. de Mattos Neto, João Fausto Lorenzato de Oliveira, et al.
Information Sciences (2023) Vol. 649, pp. 119614-119614
Closed Access | Times Cited: 15
An active learning-based incremental deep-broad learning algorithm for unbalanced time series prediction
Xin Shen, Qun Dai, Wusat Ullah
Information Sciences (2023) Vol. 642, pp. 119103-119103
Closed Access | Times Cited: 14
Deep learning systems for forecasting the prices of crude oil and precious metals
Parisa Foroutan, Salim Lahmiri
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5
Adaptive forecasting of wind power based on selective ensemble of offline global and online local learning
Huaiping Jin, Yu Li, Bin Wang, et al.
Energy Conversion and Management (2022) Vol. 271, pp. 116296-116296
Closed Access | Times Cited: 20
Graph ensemble deep random vector functional link network for traffic forecasting
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, et al.
Applied Soft Computing (2022) Vol. 131, pp. 109809-109809
Closed Access | Times Cited: 20
DynamicNet: A time-variant ODE network for multi-step wind speed prediction
Rui Ye, Xutao Li, Yunming Ye, et al.
Neural Networks (2022) Vol. 152, pp. 118-139
Closed Access | Times Cited: 19
BOFRF: A Novel Boosting-Based Federated Random Forest Algorithm on Horizontally Partitioned Data
Mert Gençtürk, Ali Anıl Sınacı, Nihan Kesim Çiçekli
IEEE Access (2022) Vol. 10, pp. 89835-89851
Open Access | Times Cited: 19
Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks
Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, et al.
Information Fusion (2023) Vol. 104, pp. 102180-102180
Open Access | Times Cited: 12
Short-term industrial load forecasting based on error correction and hybrid ensemble learning
Chaodong Fan, Shanghao Nie, Leyi Xiao, et al.
Energy and Buildings (2024) Vol. 313, pp. 114261-114261
Closed Access | Times Cited: 4
BrainEnsemble: A Brain-Inspired Effective Ensemble Pruning Algorithm for Pattern Classification
Danyang Li, Shisong Huang, Guihua Wen, et al.
Cognitive Computation (2025) Vol. 17, Iss. 1
Closed Access
Financial Time Series Forecasting: A Comprehensive Review of Signal Processing and Optimization-Driven Intelligent Models
Matoori Praveen, Satish Dekka, Sai Dai, et al.
Computational Economics (2025)
Closed Access
Deep Learning-Driven International Market Trend Prediction and Trade Strategy Optimization
Jiayu Du
Applied Mathematics and Nonlinear Sciences (2025) Vol. 10, Iss. 1
Open Access
A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges
Jongseon Kim, Hyungjoon Kim, HyunGi Kim, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 7
Open Access
A novel webpage layout aesthetic evaluation model for quantifying webpage layout design
Hongyan Wan, Wanting Ji, Guoqing Wu, et al.
Information Sciences (2021) Vol. 576, pp. 589-608
Closed Access | Times Cited: 25
Spatiotemporal multi-graph convolutional networks with synthetic data for traffic volume forecasting
Kun Zhu, Shuai Zhang, Jiu‐sheng Li, et al.
Expert Systems with Applications (2021) Vol. 187, pp. 115992-115992
Closed Access | Times Cited: 25
Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models
Nemesio Fava Sopelsa Neto, Stéfano Frizzo Stefenon, Luiz Henrique Meyer, et al.
(2022)
Open Access | Times Cited: 18
A long-term water quality prediction model for marine ranch based on time-graph convolutional neural network
Dashe Li, Weijie Zhao, Jingzhe Hu, et al.
Ecological Indicators (2023) Vol. 154, pp. 110782-110782
Open Access | Times Cited: 10
MFTM-Informer: A multi-step prediction model based on multivariate fuzzy trend matching and Informer
Lu‐Tao Zhao, Yue Li, Xue-Hui Chen, et al.
Information Sciences (2024) Vol. 681, pp. 121268-121268
Closed Access | Times Cited: 3
SPLNet: A sequence-to-one learning network with time-variant structure for regional wind speed prediction
Rui Ye, Shanshan Feng, Xutao Li, et al.
Information Sciences (2022) Vol. 609, pp. 79-99
Closed Access | Times Cited: 14
Teacher–Student Uncertainty Autoencoder for the Process-Relevant and Quality-Relevant Fault Detection in the Industrial Process
Dan Yang, Xin Peng, Yusheng Lu, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 4, pp. 698-708
Closed Access | Times Cited: 14
A new hybrid method with data-characteristic-driven analysis for artificial intelligence and robotics index return forecasting
Yue‐Jun Zhang, Han Zhang, Rangan Gupta
Financial Innovation (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 8
Classifier subset selection based on classifier representation and clustering ensemble
Danyang Li, Zhuhong Zhang, Guihua Wen
Applied Intelligence (2023) Vol. 53, Iss. 18, pp. 20730-20752
Closed Access | Times Cited: 8
Prediction of superheated steam temperature for thermal power plants using a novel integrated method based on the hybrid model and attention mechanism
Peng Wang, Fengqi Si, Yue Cao, et al.
Applied Thermal Engineering (2021) Vol. 203, pp. 117899-117899
Closed Access | Times Cited: 20

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