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:

Deep Learning-Based PM2.5 Long Time-Series Prediction by Fusing Multisource Data—A Case Study of Beijing
Meng Niu, Yuqing Zhang, Zihe Ren
Atmosphere (2023) Vol. 14, Iss. 2, pp. 340-340
Open Access | Times Cited: 19

Showing 19 citing articles:

Machine learning algorithms for high-resolution prediction of spatiotemporal distribution of air pollution from meteorological and soil parameters
Tao Hai, Ali H. Jawad, A.H. Shather, et al.
Environment International (2023) Vol. 175, pp. 107931-107931
Open Access | Times Cited: 28

Applications MLP and Other Methods in Artificial Intelligence of Fruit and Vegetable in Convective and Spray Drying
Krzysztof Przybył, K. Koszela
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 2965-2965
Open Access | Times Cited: 19

Long-Term Forecasting of Air Pollution Particulate Matter (PM2.5) and Analysis of Influencing Factors
Yuyi Zhang, Qiushi Sun, Jing Liu, et al.
Sustainability (2023) Vol. 16, Iss. 1, pp. 19-19
Open Access | Times Cited: 17

A hydrogen concentration evolution prediction method for hydrogen refueling station leakage based on the Informer model
Qiulan Wu, Yubo Bi, Jihao Shi, et al.
International Journal of Hydrogen Energy (2025)
Closed Access

Short-term time series prediction based on evolutionary interpolation of Chebyshev polynomials with internal smoothing
Loreta Saunorienė, Jinde Cao, Mantas Landauskas, et al.
Soft Computing (2025)
Closed Access

A Hybrid Data‐Driven and Data Assimilation Method for Spatiotemporal Forecasting: PM2.5 Forecasting in China
Shengjuan Cai, F. Fang, Xiao Tang, et al.
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 2
Open Access | Times Cited: 4

PM$$_{2.5}$$ forecasting based on transformer neural network and data embedding
Jordan Limperis, Weitian Tong, Felix G. Hamza-Lup, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 2111-2124
Closed Access | Times Cited: 6

Evaluation of a novel hybrid lion swarm optimization – AdaBoostRegressor model for forecasting monthly precipitation
Sumantha Esther Priestly, Kumudha Raimond, Yafit Cohen, et al.
Sustainable Computing Informatics and Systems (2023) Vol. 39, pp. 100884-100884
Closed Access | Times Cited: 4

A System Coupled GIS and CFD for Atmospheric Pollution Dispersion Simulation in Urban Blocks
Qunyong Wu, Yuhang Wang, Haoyu Sun, et al.
Atmosphere (2023) Vol. 14, Iss. 5, pp. 832-832
Open Access | Times Cited: 3

Predicting and Navigating Environmental Transformations using Machine Learning
Lakshin Kumar, A Archana, Keshab Nath
Procedia Computer Science (2024) Vol. 235, pp. 889-896
Open Access

A Novel Data Mining Framework for Discovering Association Rules in Multivariate Time Series
Shengwei Wang, Jianhua Lyu, Baili Zhang
(2024), pp. 776-780
Closed Access

An Improved Model for Sap Flow Prediction Based on Linear Trend Decomposition
Bo Li, Yane Li, Hailin Feng, et al.
(2024), pp. 179-196
Closed Access

Improving the Forecast Accuracy of PM2.5 Using SETAR-Tree Method: Case Study in Jakarta, Indonesia
Dinda Ayu Safira, Heri Kuswanto, Muhammad Ahsan
Atmosphere (2024) Vol. 16, Iss. 1, pp. 23-23
Open Access

Hints of Earlier and Other Creation: Unsupervised Machine Learning in Financial Time-Series Analysis
James Ming Chen, Charalampos Agiropoulos
SSRN Electronic Journal (2023)
Closed Access

Enhancing Multi-Output Time Series Forecasting with Encoder-Decoder Networks
Kristoko Dwi Hartomo, Joanito Agili Lopo, Hindriyanto Dwi Purnomo
Journal of Information Systems Engineering and Business Intelligence (2023) Vol. 9, Iss. 2, pp. 195-213
Open Access

Analysis and prediction of PM2.5 in Medellin based on seasonal time series*
Santiago Santa, Diego Enrique Vélez-Gómez, Gustavo Patiño
(2023), pp. 1-6
Closed Access

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