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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 time series forecasting based multi-criteria methodology for air quality prediction
Raquel Espinosa, José Palma, Fernando Jiménez, et al.
Applied Soft Computing (2021) Vol. 113, pp. 107850-107850
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Deep learning for air pollutant concentration prediction: A review
Bo Zhang, Yi Rong, Ruihan Yong, et al.
Atmospheric Environment (2022) Vol. 290, pp. 119347-119347
Closed Access | Times Cited: 125
Air quality indicators and AQI prediction coupling long-short term memory (LSTM) and sparrow search algorithm (SSA): A case study of Shanghai
Xingpo Liu, Hongyuan Guo
Atmospheric Pollution Research (2022) Vol. 13, Iss. 10, pp. 101551-101551
Closed Access | Times Cited: 38
Multi-surrogate assisted multi-objective evolutionary algorithms for feature selection in regression and classification problems with time series data
Raquel Espinosa, Fernando Jiménez, José Palma
Information Sciences (2022) Vol. 622, pp. 1064-1091
Open Access | Times Cited: 38
CO and NOx emissions prediction in gas turbine using a novel modeling pipeline based on the combination of deep forest regressor and feature engineering
Leandro dos Santos Coelho, Helon Vicente Hultmann Ayala, Viviana Cocco Mariani
Fuel (2023) Vol. 355, pp. 129366-129366
Closed Access | Times Cited: 33
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
Using grey Gompertz model to explore the carbon emission and its peak in 16 provinces of China
Kai Cai, Lifeng Wu
Energy and Buildings (2022) Vol. 277, pp. 112545-112545
Closed Access | Times Cited: 28
Balanced Spider Monkey Optimization with Bi-LSTM for Sustainable Air Quality Prediction
C. Aarthi, Varatharaj Jeya Ramya, Przemysław Falkowski‐Gilski, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 1637-1637
Open Access | Times Cited: 21
Surrogate-Assisted and Filter-Based Multiobjective Evolutionary Feature Selection for Deep Learning
Raquel Espinosa, Fernando Jiménez, José Palma
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 7, pp. 9591-9605
Closed Access | Times Cited: 19
Nano carbon-modified air purification filters for removal and detection of particulate matters from ambient air
Yasser A. Attia, Abd Elhakim Ezet, Samar Saeed, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Development of MCS based-ensemble models using CEEMDAN decomposition and machine intelligence
Sandip Garai, Ranjit Kumar Paul
Intelligent Systems with Applications (2023) Vol. 18, pp. 200202-200202
Open Access | Times Cited: 15
Enhanced Forecasting and Assessment of Urban Air Quality by an Automated Machine Learning System: The AI‐Air
Jiayu Yang, Huabing Ke, Sunling Gong, et al.
Earth and Space Science (2025) Vol. 12, Iss. 1
Open Access
Advancements in machine learning for spatiotemporal urban on-road traffic-air quality study: a review
Zhanxia Du, Hanbing Li, Sha Chen, et al.
Atmospheric Environment (2025), pp. 121054-121054
Closed Access
A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks
Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta
BioData Mining (2025) Vol. 18, Iss. 1
Open Access
Comparative Investigation of Machine Learning and Deep Learning Approaches for Air Quality Prediction
Borui Zhang
ITM Web of Conferences (2025) Vol. 73, pp. 02002-02002
Open Access
Integrating D–S evidence theory and multiple deep learning frameworks for time series prediction of air quality
Siling Feng, Le Tang, Mengxing Huang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
How to design the Emission and Air Quality Cadastre? A conceptual scheme supporting clean air policy
Kinga Szopińska, Agnieszka Cienciała, Agnieszka Bieda, et al.
Journal of Cleaner Production (2025), pp. 145136-145136
Open Access
Sea level forecasting using deep recurrent neural networks with high-resolution hydrodynamic model
Saeed Rajabi-Kiasari, Artu Ellmann, Nicole Delpeche‐Ellmann
Applied Ocean Research (2025) Vol. 157, pp. 104496-104496
Open Access
Constructing and Evaluating Predictors for Data-Driven PM2.5 Forecasting Models
Ran-Ran He, Yu-Qiao Chen, Lei Tian, et al.
International Journal of Environmental Research (2025) Vol. 19, Iss. 3
Closed Access
SFDformer: a frequency-based sparse decomposition transformer for air pollution time series prediction
Zhao Qin, Bingqing Wei, Caifeng Gao, et al.
Frontiers in Environmental Science (2025) Vol. 13
Open Access
Wood Quality Defect Detection Based on Deep Learning and Multicriteria Framework
Sun Ping-an
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 19
A novel spatiotemporal multigraph convolutional network for air pollution prediction
Jing Chen, Changwei Yuan, Shi Dong, et al.
Applied Intelligence (2023) Vol. 53, Iss. 15, pp. 18319-18332
Closed Access | Times Cited: 11
Software Aging Prediction for Cloud Services Using a Gate Recurrent Unit Neural Network Model Based on Time Series Decomposition
Kai Jia, Xiao Yu, Chen Zhang, et al.
IEEE Transactions on Emerging Topics in Computing (2023) Vol. 11, Iss. 3, pp. 580-593
Closed Access | Times Cited: 11
Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities
Vasilis Papastefanopoulos, Pantelis Linardatos, Theodor Panagiotakopoulos, et al.
Smart Cities (2023) Vol. 6, Iss. 5, pp. 2519-2552
Open Access | Times Cited: 11
Surrogate-assisted multi-objective evolutionary feature selection of generation-based fixed evolution control for time series forecasting with LSTM networks
Raquel Espinosa, Fernando Jiménez, José Palma
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101587-101587
Closed Access | Times Cited: 4
Analysing and predicting the fine-scale distribution of traffic particulate matter in urban nonmotorized lanes by using wavelet transform and random forest methods
Binru Luo, Ruhui Cao, Wenbin Yang, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 7, pp. 2657-2676
Closed Access | Times Cited: 10
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