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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 multi-step ahead point-interval forecasting system for hourly PM2.5 concentrations based on multivariate decomposition and kernel density estimation
Hongtao Li, Yang Yu, Zhipeng Huang, et al.
Expert Systems with Applications (2023) Vol. 226, pp. 120140-120140
Closed Access | Times Cited: 21

Showing 21 citing articles:

CNNs-Transformer based day-ahead probabilistic load forecasting for weekends with limited data availability
Zhirui Tian, Weican Liu, Wenqian Jiang, et al.
Energy (2024) Vol. 293, pp. 130666-130666
Closed Access | Times Cited: 29
Carbon emission price point-interval forecasting based on multivariate variational mode decomposition and attention-LSTM model
Liling Zeng, Huanling Hu, Huajun Tang, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111543-111543
Closed Access | Times Cited: 10
GA-FCFNN: A new forecasting method combining feature selection methods and feedforward neural networks using genetic algorithms
Rongtao Zhang, Xueling Ma, Chao Zhang, et al.
Information Sciences (2024) Vol. 669, pp. 120566-120566
Closed Access | Times Cited: 9
Incorporating Temporal Multi-Head Self-Attention Convolutional Networks and LightGBM for Indoor Air Quality Prediction
Yifeng Lu, Jinyong Wang, Dongsheng Wang, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111569-111569
Closed Access | Times Cited: 6
Probabilistic runoff forecasting by integrating improved conceptual hydrological model with interpretable deep learning approach in a typical karst basin, Southwest China
Shufeng Lai, Chongxun Mo, Xingbi Lei, et al.
Journal of Hydrology (2025), pp. 132950-132950
Closed Access
Coupling study on ecological resilience and urban-rural integrated development in China
Yue Wang, Mengfei Song, Shi-Liang Zhu, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Multi-source variational mode transfer learning for enhanced PM2.5 concentration forecasting at data-limited monitoring stations
Bozhi Yao, Guang Ling, Feng Liu, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121714-121714
Closed Access | Times Cited: 9
PM2.5 concentration prediction system combining fuzzy information granulation and multi-model ensemble learning
Yamei Chen, Jianzhou Wang, Runze Li, et al.
Journal of Environmental Sciences (2024)
Closed Access | Times Cited: 3
Joint Modeling of Wind Speed and Power via a Nonparametric Approach
Saulo Custodio de Aquino Ferreira, Paula Maçaira, Fernando Luiz Cyrino Oliveira
Energies (2024) Vol. 17, Iss. 14, pp. 3573-3573
Open Access | Times Cited: 3
A Novel Method for Full-Section Assessment of High-Speed Railway Subgrade Compaction Quality Based on ML-Interval Prediction Theory
Zhixing Deng, Wubin Wang, Linrong Xu, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3661-3661
Open Access | Times Cited: 2
A hybrid PM2.5 interval concentration prediction framework based on multi-factor interval decomposition reconstruction strategy and attention mechanism
Jiaming Zhu, Niu Li-li, Zheng Peng, et al.
Atmospheric Environment (2024) Vol. 335, pp. 120730-120730
Closed Access | Times Cited: 2
Research on runoff interval prediction method based on deep learning ensemble modeling with hydrological factors
Jinghan Huang, Zhaocai Wang, Jinghan Dong, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 2
Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting
Yang Yang, Zijin Wang, Shangrui Zhao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109453-109453
Open Access | Times Cited: 1
An enhanced interval-valued PM2.5 concentration forecasting model with attention-based feature extraction and self-adaptive combination technology
Jiaming Zhu, Zheng Peng, Niu Li-li, et al.
Expert Systems with Applications (2024) Vol. 264, pp. 125867-125867
Closed Access | Times Cited: 1
Research on the Short-Term Power Interval Prediction Method for Distributed Power Sources in Distribution Networks Based on Quantile Random Forests
Zhen Lei, Qiangsheng Bu, Jing Wang
Lecture notes in electrical engineering (2024), pp. 347-360
Closed Access
ConvFormer-KDE: A Long-Term Point–Interval Prediction Framework for PM2.5 Based on Multi-Source Spatial and Temporal Data
Shaofu Lin, Yuying Zhang, Xingjia Fei, et al.
Toxics (2024) Vol. 12, Iss. 8, pp. 554-554
Open Access
An adaptive photovoltaic power interval prediction based on multi-objective optimization
Yunxiao Jiang, Xinyan Wang, Di Yang, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109717-109717
Closed Access
High-speed rail passenger flow prediction based on crossformer and quantile regression: A deep learning approach assisted by internet search indices
Ruihang Xie, Haina Zhang, Hongtao Li, et al.
Measurement (2024), pp. 116189-116189
Closed Access
A novel combined multi-variate prediction framework for air pollution based on feature selection and deep learning models
Lu Bai, Pei Du, Shubin Wang, et al.
Process Safety and Environmental Protection (2024)
Closed Access
MA-EMD: Aligned empirical decomposition for multivariate time-series forecasting
Xiangjun Cai, Dagang Li, Jinglin Zhang, et al.
Expert Systems with Applications (2024), pp. 126080-126080
Closed Access
Improving conformalized quantile regression through cluster-based feature relevance
Martim Sousa, Ana Maria Tomé, José E. Moreira
Expert Systems with Applications (2023) Vol. 238, pp. 122322-122322
Open Access | Times Cited: 1
A Point-Interval Forecasting Method for Wind Speed Using Improved Wild Horse Optimization Algorithm and Ensemble Learning
Xiuting Guo, Changsheng Zhu, Jie Hao, et al.
Sustainability (2023) Vol. 16, Iss. 1, pp. 94-94
Open Access | Times Cited: 1
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