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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 full-coverage estimation of PM2.5 concentrations using a hybrid XGBoost-WD model and WRF-simulated meteorological fields in the Yangtze River Delta Urban Agglomeration, China
Jiajia Wang, Li He, Xiaoman Lu, et al.
Environmental Research (2021) Vol. 203, pp. 111799-111799
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2022) Vol. 316, pp. 119063-119063
Closed Access | Times Cited: 67
VAR-tree model based spatio-temporal characterization and prediction of O3 concentration in China
Hongbin Dai, Guangqiu Huang, Jingjing Wang, et al.
Ecotoxicology and Environmental Safety (2023) Vol. 257, pp. 114960-114960
Open Access | Times Cited: 53
Time Series Analysis and Forecasting of Air Pollutants Based on Prophet Forecasting Model in Jiangsu Province, China
Ahmad Hasnain, Yehua Sheng, Muhammad Zaffar Hashmi, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 38
Ensemble optimization approach based on hybrid mode decomposition and intelligent technology for wind power prediction system
Yagang Zhang, Hui Wang, Jingchao Wang, et al.
Energy (2024) Vol. 292, pp. 130492-130492
Closed Access | Times Cited: 6
PM2.5 Estimation using Machine Learning Models and Satellite Data: A Literature Review
Mitra Unik, Imas Sukaesih Sitanggang, Lailan Syaufina, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access | Times Cited: 14
Research progress, challenges, and prospects of PM2.5 concentration estimation using satellite data
S. Y. Zhu, Jiayi Tang, Xiaolu Zhou, et al.
Environmental Reviews (2023) Vol. 31, Iss. 4, pp. 605-631
Open Access | Times Cited: 13
Retrieving hourly seamless PM2.5 concentration across China with physically informed spatiotemporal connection
Yu Ding, Siwei Li, Jia Xing, et al.
Remote Sensing of Environment (2023) Vol. 301, pp. 113901-113901
Closed Access | Times Cited: 13
Exploring synergistic evolution of carbon emissions and air pollutants and spatiotemporal heterogeneity of influencing factors in Chinese cities
Xuebo Zhao, Bilin Shao, Jia Su, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Joint estimation of PM2.5 and O3 over China using a knowledge-informed neural network
Tongwen Li, Qianqian Yang, Yuan Wang, et al.
Geoscience Frontiers (2022) Vol. 14, Iss. 2, pp. 101499-101499
Open Access | Times Cited: 21
Interpretable Machine Learning Approaches for Forecasting and Predicting Air Pollution: A Systematic Review
Anass Houdou, Imad El Badisy, Kenza Khomsi, et al.
Aerosol and Air Quality Research (2023) Vol. 24, Iss. 1, pp. 230151-230151
Open Access | Times Cited: 10
State-of-art in modelling particulate matter (PM) concentration: a scoping review of aims and methods
Lorenzo Gianquintieri, Daniele Oxoli, Enrico G. Caiani, et al.
Environment Development and Sustainability (2024)
Open Access | Times Cited: 3
Data reconstruction of daily MODIS chlorophyll-a concentration and spatio-temporal variations in the Northwestern Pacific
Mingming Xing, Fengmei Yao, Jiahua Zhang, et al.
The Science of The Total Environment (2022) Vol. 843, pp. 156981-156981
Closed Access | Times Cited: 18
Estimating PM2.5 Concentrations Using the Machine Learning RF-XGBoost Model in Guanzhong Urban Agglomeration, China
Lujun Lin, Yongchun Liang, Lei Liu, et al.
Remote Sensing (2022) Vol. 14, Iss. 20, pp. 5239-5239
Open Access | Times Cited: 17
Estimation of fission barrier heights for even–even superheavy nuclei using machine learning approaches
Cafer Mert Yeşilkanat, Serkan Akkoyun
Journal of Physics G Nuclear and Particle Physics (2023) Vol. 50, Iss. 5, pp. 055101-055101
Closed Access | Times Cited: 9
Coupling the linear mixed effects model with random forest improves hourly PM2.5 estimation from Himawari-8 AOD over the Yangtze River Delta
Yunhui Tan, Quan Wang, Zhaoyang Zhang
Atmospheric Pollution Research (2023) Vol. 14, Iss. 5, pp. 101739-101739
Closed Access | Times Cited: 8
Estimation of Regional Ground-Level PM2.5 Concentrations Directly from Satellite Top-of-Atmosphere Reflectance Using A Hybrid Learning Model
Yu Feng, Shurui Fan, Kewen Xia, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2714-2714
Open Access | Times Cited: 12
High-precision estimation of hourly PM2.5 concentration based on a grid scale of satellite-derived products
Miao Zhang, Lingyun Yuan
Atmospheric Pollution Research (2023) Vol. 14, Iss. 4, pp. 101724-101724
Closed Access | Times Cited: 7
Predicting science achievement scores with machine learning algorithms: a case study of OECD PISA 2015–2018 data
Sibel Açışlı Çelik, Cafer Mert Yeşilkanat
Neural Computing and Applications (2023) Vol. 35, Iss. 28, pp. 21201-21228
Closed Access | Times Cited: 7
Effects of VOC emissions from chemical industrial parks on regional O3-PM2.5 compound pollution in the Yangtze River Delta
Li He, Yusen Duan, Yan Zhang, et al.
The Science of The Total Environment (2023) Vol. 906, pp. 167503-167503
Closed Access | Times Cited: 7
A spatiotemporal XGBoost model for PM2.5 concentration prediction and its application in Shanghai
Zidong Wang, Xianhua Wu, You Wu
Heliyon (2023) Vol. 9, Iss. 12, pp. e22569-e22569
Open Access | Times Cited: 7
Data augmentation for bias correction in mapping PM2.5 based on satellite retrievals and ground observations
Tan Mi, Dié Tang, Jianbo Fu, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 1, pp. 101686-101686
Open Access | Times Cited: 6
Influence of Spatial Resolution on Satellite-Based PM2.5 Estimation: Implications for Health Assessment
Heming Bai, Yuli Shi, Myeongsu Seong, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2933-2933
Open Access | Times Cited: 9
Universal machine-learning algorithm for predicting adsorption performance of organic molecules based on limited data set: Importance of feature description
Chaoyi Huang, Wen‐Yang Gao, Yingdie Zheng, et al.
The Science of The Total Environment (2022) Vol. 859, pp. 160228-160228
Closed Access | Times Cited: 8
Joint estimation of PM2.5 and O3 concentrations using a hybrid model in Beijing-Tianjin-Hebei, China
Decai Gong, Ning Du, Wang Li, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 8, pp. 102174-102174
Closed Access | Times Cited: 1
Enhanced PM2.5 estimation across China: An AOD-independent two-stage approach incorporating improved spatiotemporal heterogeneity representations
Q. Chen, Kaiwen Shao, Songlin Zhang
Journal of Environmental Management (2024) Vol. 368, pp. 122107-122107
Open Access | Times Cited: 1
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