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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:

Forecasting hourly PM2.5 concentrations based on decomposition-ensemble-reconstruction framework incorporating deep learning algorithms
Peilei Cai, Chengyuan Zhang, Jian Chai
Data Science and Management (2023) Vol. 6, Iss. 1, pp. 46-54
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting groundwater level
Mohammad Ehteram, Elham Ghanbari-Adivi
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 40, pp. 92903-92921
Closed Access | Times Cited: 23
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: 13
Study on deterministic and interval forecasting of electricity load based on multi-objective whale optimization algorithm and transformer model
Pei Du, Yuxin Ye, Han Wu, et al.
Expert Systems with Applications (2025) Vol. 268, pp. 126361-126361
Closed Access | Times Cited: 1
AI-driven approaches for air pollution modeling: A comprehensive systematic review
Lorenzo Garbagna, Lakshmi Babu Saheer, Mahdi Maktabdar Oghaz
Environmental Pollution (2025), pp. 125937-125937
Closed Access | Times Cited: 1
Modeling PM2.5 forecast using a self-weighted ensemble GRU network: Method optimization and evaluation
Hengjun Huang, Chonghui Qian
Ecological Indicators (2023) Vol. 156, pp. 111138-111138
Open Access | Times Cited: 20
Framework for multivariate carbon price forecasting: A novel hybrid model
Xuankai Zhang, Ying Zong, Pei Du, et al.
Journal of Environmental Management (2024) Vol. 369, pp. 122275-122275
Closed Access | Times Cited: 8
Short-term air quality prediction based on EMD-transformer-BiLSTM
Jie Dong, Yaoli Zhang, Jiang Hu
Scientific Reports (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 8
A new LASSO-BiLSTM-based ensemble learning approach for exchange rate forecasting
Siyuan Liu, Qiqian Huang, Mingchen Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107305-107305
Closed Access | Times Cited: 13
Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach
C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul, et al.
Forecasting (2024) Vol. 6, Iss. 1, pp. 81-99
Open Access | Times Cited: 6
A robust time-varying weight combined model for crude oil price forecasting
Longlong Liu, Suyu Zhou, Jie Qian, et al.
Energy (2024) Vol. 299, pp. 131352-131352
Closed Access | Times Cited: 5
The research on a novel multivariate grey model and its application in carbon dioxide emissions prediction
Yan Xu, Tong Lin, Pei Du, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 14, pp. 21986-22011
Closed Access | Times Cited: 4
TEMDI: A Temporal Enhanced Multisource Data Integration model for accurate PM2.5 concentration forecasting
Ke Ren, Kangxu Chen, Chengyao Jin, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 11, pp. 102269-102269
Closed Access | Times Cited: 4
Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction
Sujan Ghimire, Ravinesh C. Deo, Ningbo Jiang, et al.
Atmospheric Environment (2025), pp. 121079-121079
Closed Access
Dual-stage ensemble approach using online knowledge distillation for forecasting carbon emissions in the electric power industry
Ruibin Lin, Xing Lv, Huanling Hu, et al.
Data Science and Management (2023) Vol. 6, Iss. 4, pp. 227-238
Open Access | Times Cited: 10
Fortify the investment performance of crude oil market by integrating sentiment analysis and an interval-based trading strategy
Kun Yang, Zishu Cheng, Mingchen Li, et al.
Applied Energy (2023) Vol. 353, pp. 122102-122102
Closed Access | Times Cited: 10
A hybrid Harris Hawks Optimization with Support Vector Regression for air quality forecasting
Essam H. Houssein, Mohamed Mroueh, Eman M. G. Younis, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Unlocking the power of machine learning in big data: a scoping survey
Fadil Mohammed Surur, Abiy Abinet Mamo, Bealu Girma Gebresilassie, et al.
Data Science and Management (2025)
Open Access
Hybrid deep learning model with VMD-BiLSTM-GRU networks for short-term traffic flow prediction
Changxi Ma, Yanming Hu, Xuecai Xu
Data Science and Management (2024)
Open Access | Times Cited: 3
Forecasting of Solar Power Using GRU–Temporal Fusion Transformer Model and DILATE Loss Function
Fatma Mazen Ali Mazen, Yomna Shaker, Rania Ahmed Abdel Azeem Abul Seoud
Energies (2023) Vol. 16, Iss. 24, pp. 8105-8105
Open Access | Times Cited: 8
Adding double insurance to your investments: Evidence from the exchange rate market
Mingchen Li, Kun Yang, Zishu Cheng, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102416-102416
Closed Access | Times Cited: 2
HVAC Load Forecasting Based on the CEEMDAN-Conv1D-BiLSTM-AM Model
Zhicheng Xiao, Lijuan Yu, Huajun Zhang, et al.
Mathematics (2023) Vol. 11, Iss. 22, pp. 4630-4630
Open Access | Times Cited: 4
Probabilistic oil price forecasting with a variational mode decomposition-gated recurrent unit model incorporating pinball loss
Zhesen Cui, Tian Li, Zhe Ding, et al.
Data Science and Management (2024)
Open Access | Times Cited: 1
Digital Transformation, Green Innovation, and Pollution Abatement: Evidence from China
Shizhong Peng, Haoran Peng, Shirong Pan, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 6659-6659
Open Access | Times Cited: 3
Power load combination forecasting system based on longitudinal data selection
Yan Xu, Jing Li, Yan Dong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107629-107629
Closed Access | Times Cited: 3
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
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