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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:

Novel hybrid extreme learning machine and multi-objective optimization algorithm for air pollution prediction
Lu Bai, Zhi Liu, Jianzhou Wang
Applied Mathematical Modelling (2022) Vol. 106, pp. 177-198
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Air Pollution Prediction Based On Optimized Deep Learning Neural Networks: PSO-LSTM
Ming Chen, Pengcheng Xu, Zepeng Liu, et al.
Atmospheric Pollution Research (2025), pp. 102413-102413
Closed Access | Times Cited: 2
Innovative ensemble system based on mixed frequency modeling for wind speed point and interval forecasting
Wendong Yang, Mengying Hao, Hao Yan
Information Sciences (2022) Vol. 622, pp. 560-586
Closed Access | Times Cited: 41
A combined prediction model based on secondary decomposition and intelligence optimization for carbon emission
Hong Yang, Maozhu Wang, Guohui Li
Applied Mathematical Modelling (2023) Vol. 121, pp. 484-505
Closed Access | Times Cited: 29
Spatiotemporal modelling of $$\hbox {PM}_{2.5}$$ concentrations in Lombardy (Italy): a comparative study
Philipp Otto, Alessandro Fusta Moro, Jacopo Rodeschini, et al.
Environmental and Ecological Statistics (2024) Vol. 31, Iss. 2, pp. 245-272
Open Access | Times Cited: 13
Multivariable Air-Quality Prediction and Modelling via Hybrid Machine Learning: A Case Study for Craiova, Romania
Y. El Mghouchi, Mihaela Tinca Udriștioiu, Hasan Yıldızhan
Sensors (2024) Vol. 24, Iss. 5, pp. 1532-1532
Open Access | Times Cited: 8
Research and application of an evolutionary deep learning model based on improved grey wolf optimization algorithm and DBN-ELM for AQI prediction
Yiman Li, Peng Tian, Lei Hua, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104209-104209
Closed Access | Times Cited: 35
Research of a novel combined deterministic and probabilistic forecasting system for air pollutant concentration
Qianyi Xing, Jianzhou Wang, He Jiang, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120117-120117
Closed Access | Times Cited: 15
A novel hybrid model based on dual-layer decomposition and kernel density estimation for VOCs concentration forecasting considering influencing factors
Fan Yang, Guangqiu Huang, X. Jiao
Atmospheric Pollution Research (2025), pp. 102439-102439
Closed Access
Forecasting China’s renewable energy consumption using a novel dynamic fractional-order discrete grey multi-power model
Lin Xia, Youyang Ren, Yuhong Wang, et al.
Renewable Energy (2024) Vol. 233, pp. 121125-121125
Closed Access | Times Cited: 3
Multi-Energy Load Prediction Method for Integrated Energy System Based on Fennec Fox Optimization Algorithm and Hybrid Kernel Extreme Learning Machine
Yang Shen, Deyi Li, Wenbo Wang
Entropy (2024) Vol. 26, Iss. 8, pp. 699-699
Open Access | Times Cited: 3
Combined Interval Prediction Algorithm Based on Optimal Relevancy, Redundancy and Synergy
Jialu Gao, Jianzhou Wang, Danxiang Wei, et al.
Applied Mathematical Modelling (2023) Vol. 123, pp. 566-589
Closed Access | Times Cited: 7
A Dynamic Parameter Tuning Strategy for Decomposition-Based Multi-Objective Evolutionary Algorithms
J. H. Zheng, Jiaxu Ning, Hongfeng Ma, et al.
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3481-3481
Open Access | Times Cited: 2
Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review
Sreeni Chadalavada, Oliver Faust, Massimo Salvi, et al.
Environmental Modelling & Software (2024), pp. 106312-106312
Closed Access | Times Cited: 2
An Aquatic Product Price Forecast Model Using VMD-IBES-LSTM Hybrid Approach
Tunhua Wu, Yuan Hu, Daqing Wu, et al.
Agriculture (2022) Vol. 12, Iss. 8, pp. 1185-1185
Open Access | Times Cited: 12
A novel approach for the prediction and analysis of daily concentrations of particulate matter using machine learning
Balamurugan Panneerselvam, Nagavinothini Ravichandran, U.C. Dumka, et al.
The Science of The Total Environment (2023) Vol. 897, pp. 166178-166178
Closed Access | Times Cited: 5
A novel air pollution prediction system based on data processing, fuzzy theory, and multi-strategy improved optimizer
Zhirui Tian, Gai Mei
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 21, pp. 59719-59736
Closed Access | Times Cited: 4
A novel spatiotemporal prediction approach to fill air pollution data gaps using mobile sensors, machine learning and citizen science techniques
Arunik Baruah, Dimitrios Bousiotis, Seny Damayanti, et al.
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Robust projection twin extreme learning machines with capped L1-norm distance metric
Yang Yang, Zhenxia Xue, Jun Ma, et al.
Neurocomputing (2022) Vol. 517, pp. 229-242
Closed Access | Times Cited: 6
The importance of data splitting in combined NOx concentration modelling
Joanna Kamińska, Joanna Kajewska-Szkudlarek
The Science of The Total Environment (2023) Vol. 868, pp. 161744-161744
Open Access | Times Cited: 3
A Short-Term Air Pollutant Concentration Forecasting Method Based on a Hybrid Neural Network and Metaheuristic Optimization Algorithms
Hossein Jalali, Farshid Keynia, Faezeh Amirteimoury, et al.
Sustainability (2024) Vol. 16, Iss. 11, pp. 4829-4829
Open Access
A novel spatiotemporal prediction approach to fill air pollution data gaps using mobile sensors, machine learning and citizen science techniques
Francis D. Pope, Arunik Baruah, Dimitrios Bousiotis, et al.
Research Square (Research Square) (2024)
Open Access
A Spatiotemporal Locomotive Axle Temperature Prediction Approach Based on Ensemble Graph Convolutional Recurrent Unit Networks
Ye Li, Limin Yang, Yutong Wan, et al.
Modelling—International Open Access Journal of Modelling in Engineering Science (2024) Vol. 5, Iss. 3, pp. 1031-1055
Open Access
Particulate Matter 2.5 concentration prediction system based on uncertainty analysis and multi-model integration
Yamei Chen, Jianzhou Wang, Runze Li, et al.
The Science of The Total Environment (2024) Vol. 958, pp. 177924-177924
Closed Access
Developing the Optimal Hybrid Neural Network for Predicting the Factor of Air Pollutants
S. Neduncheliyan, Priya Viswanathan
Research Square (Research Square) (2024)
Open Access
A hybrid multi-scale fusion paradigm for AQI prediction based on the secondary decomposition
Yufan Deng, Tianqi Xu, Zuoren Sun
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 22, pp. 32694-32713
Closed Access
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