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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 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

Showing 15 citing articles:

Advanced fusion of MTM-LSTM and MLP models for time series forecasting: An application for forecasting the solar radiation
Mahin Mohammadi, Saman Jamshidi, Alireza Rezvanian, et al.
Measurement Sensors (2024) Vol. 33, pp. 101179-101179
Open Access | Times Cited: 22
Industrial carbon emission forecasting considering external factors based on linear and machine learning models
Ye Liang, Pei Du, Shubin Wang
Journal of Cleaner Production (2023) Vol. 434, pp. 140010-140010
Closed Access | Times Cited: 25
MRIformer: A multi-resolution interactive transformer for wind speed multi-step prediction
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Information Sciences (2024) Vol. 661, pp. 120150-120150
Closed Access | Times Cited: 7
A novel attLSTM framework combining the attention mechanism and bidirectional LSTM for demand forecasting
Ligang Cui, Yingcong Chen, Jie Deng, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124409-124409
Closed Access | Times Cited: 5
Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models
Sourav Kumar Purohit, Sibarama Panigrahi
Information Sciences (2023) Vol. 658, pp. 120021-120021
Closed Access | Times Cited: 15
A Data Distribution-Based Ensemble Generation Applied to Wind Speed Forecasting
Diogo M. Almeida, Paulo S. G. de Mattos Neto, Daniel C. Cunha
Lecture notes in computer science (2025), pp. 17-32
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
A new multi-objective ensemble wind speed forecasting system: Mixed-frequency interval-valued modeling paradigm
Wendong Yang, Xinyi Zang, C.L. Wu, et al.
Energy (2024) Vol. 304, pp. 131963-131963
Closed Access | Times Cited: 3
MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for Air Quality Prediction
Chengqing Yu, Fei Wang, Yilun Wang, et al.
Information Fusion (2024) Vol. 113, pp. 102607-102607
Closed Access | Times Cited: 2
Multivariate wind speed forecasting with genetic algorithm-based feature selection and oppositional learning sparrow search
Jinxing Che, Wenxin Xia, Yifan Xu, et al.
Information Sciences (2024) Vol. 695, pp. 121736-121736
Closed Access | Times Cited: 2
Semi-supervised prediction method for time series based on Monte Carlo and time fusion feature attention
Yang Yang, Jing Zhang, Lulu Wang
Applied Soft Computing (2024), pp. 112283-112283
Closed Access | Times Cited: 1
Ensemble deep learning techniques for time series analysis: a comprehensive review, applications, open issues, challenges, and future directions
Mohd Sakib, Suhel Mustajab, Mahfooz Alam
Cluster Computing (2024) Vol. 28, Iss. 1
Closed Access | Times Cited: 1
A New Ensemble with Partition Size Variation Applied to Wind Speed Time Series
Diogo M. Almeida, Paulo S. G. de Mattos Neto, Daniel C. Cunha
Lecture notes in computer science (2024), pp. 53-65
Closed Access
Ensemble Learning Methods for Time Series Forecasting of Thermal Systems Dispatch in Legal Amazon
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, et al.
(2024)
Closed Access
Heterogeneous Ensemble for Multi-Step Solar Irradiance Forecasting in Brazilian's Sites
Domingos S. de O. Santos, Douglas A. P. Dantas, Paulo S. G. de Mattos Neto, et al.
(2023), pp. 1-7
Closed Access
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