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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:

MERRA-2 PM2.5 mass concentration reconstruction in China mainland based on LightGBM machine learning
Jinghui Ma, Renhe Zhang, Jianming Xu, et al.
The Science of The Total Environment (2022) Vol. 827, pp. 154363-154363
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Investigation of nearby monitoring station for hourly PM2.5 forecasting using parallel multi-input 1D-CNN-biLSTM
Mingying Zhu, Jie Xie
Expert Systems with Applications (2022) Vol. 211, pp. 118707-118707
Closed Access | Times Cited: 43
A comprehensive evaluation of deep learning approaches for ground-level ozone prediction across different regions
Guanjun Lin, Hang Zhao, Yufeng Chi
Ecological Informatics (2025), pp. 103024-103024
Open Access | Times Cited: 1
River ecological flow early warning forecasting using baseflow separation and machine learning in the Jiaojiang River Basin, Southeast China
Hao Chen, Saihua Huang, Yue‐Ping Xu, et al.
The Science of The Total Environment (2023) Vol. 882, pp. 163571-163571
Closed Access | Times Cited: 21
Evaluation of four meteorological reanalysis datasets for satellite-based PM2.5 retrieval over China
Chen Zuo, Jiayi Chen, Yue Zhang, et al.
Atmospheric Environment (2023) Vol. 305, pp. 119795-119795
Closed Access | Times Cited: 20
Application of machine learning (individual vs stacking) models on MERRA-2 data to predict surface PM2.5 concentrations over India
Abisheg Dhandapani, Jawed Iqbal, R. Naresh Kumar
Chemosphere (2023) Vol. 340, pp. 139966-139966
Closed Access | Times Cited: 19
Spatiotemporal analysis of fine particulate matter for India (1980–2021) from MERRA-2 using ensemble machine learning
Vikas Kumar, Vasudev Malyan, Manoranjan Sahu, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 8, pp. 101834-101834
Open Access | Times Cited: 18
Characteristics of secondary inorganic aerosols and contributions to PM2.5 pollution based on machine learning approach in Shandong Province
Tianshuai Li, Qingzhu Zhang, Xinfeng Wang, et al.
Environmental Pollution (2023) Vol. 337, pp. 122612-122612
Closed Access | Times Cited: 13
Retrieval of suspended sediment concentrations using remote sensing and machine learning methods: A case study of the lower Yellow River
Jinlong Hu, Chiyuan Miao, Xiangping Zhang, et al.
Journal of Hydrology (2023) Vol. 627, pp. 130369-130369
Closed Access | Times Cited: 11
First estimation of hourly full-coverage ground-level ozone from Fengyun-4A satellite using machine learning
Ling Gao, H. Zhang, Fukun Yang, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 2, pp. 024040-024040
Open Access | Times Cited: 4
Spatiotemporal Patterns of Air Pollutants over the Epidemic Course: A National Study in China
Kun Qin, Zhanpeng Wang, Shaoqing Dai, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1298-1298
Open Access | Times Cited: 4
Assessment of Fine Aerosol in Two Different Climate Regions of India Using MERRA-2 Products, Ground-based Measurements, and Machine Learning
D. M., Anurag Sahu, Jai Prakash
Aerosol Science and Engineering (2025)
Closed Access
Association between particulate air pollution, physical activity, and the risk of osteoporosis in the UK Biobank
Qianjing Chang, Mingzhi Zhang, Qiurun Yu, et al.
Ecotoxicology and Environmental Safety (2025) Vol. 293, pp. 118000-118000
Open Access
A Visibility-Based Historical PM2.5 Estimation for Four Decades (1981–2022) Using Machine Learning in Thailand: Trends, Meteorological Normalization, and Influencing Factors Using SHAP Analysis
Nishit Aman, Sirima Panyametheekul, Ittipol Pawarmart, et al.
Aerosol and Air Quality Research (2025) Vol. 25, Iss. 1-4
Open Access
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
Predicting PM2.5 Concentration in the Yangtze River Delta Region Using Climate System Monitoring Indices and Machine Learning
Jinghui Ma, Shiquan Wan, Shasha Xu, et al.
Journal of Meteorological Research (2024) Vol. 38, Iss. 2, pp. 249-261
Closed Access | Times Cited: 3
PM2.5 extended-range forecast based on MJO and S2S using LightGBM
Zhongqi Yu, Jinghui Ma, Yuanhao Qu, et al.
The Science of The Total Environment (2023) Vol. 880, pp. 163358-163358
Closed Access | Times Cited: 8
Improving the Estimation of PM2.5 Concentration in the North China Area by Introducing an Attention Mechanism into Random Forest
Luo Zhang, Zhengqiang Li, Jie Guang, et al.
Atmosphere (2024) Vol. 15, Iss. 3, pp. 384-384
Open Access | Times Cited: 2
Development of an integrated machine learning model to improve the secondary inorganic aerosol simulation over the Beijing–Tianjin–Hebei region
Ning Ding, Xiao Tang, Huangjian Wu, et al.
Atmospheric Environment (2024) Vol. 327, pp. 120483-120483
Closed Access | Times Cited: 2
Building energy efficiency assessment base on predict-center criterion under diversified conditions
Xuechao Liao, Yong Zhang, Xiujuan Zheng, et al.
Energy and Buildings (2024) Vol. 311, pp. 114118-114118
Closed Access | Times Cited: 2
Assessing the impact of extreme climate events on European gross primary production
Huihui Zhang, Hugo A. Loáiciga, Akpona Okujeni, et al.
Agricultural and Forest Meteorology (2024) Vol. 362, pp. 110374-110374
Open Access | Times Cited: 2
MGC-LSTM: a deep learning model based on graph convolution of multiple graphs for PM2.5 prediction
Xia Liu, Weide Li
International Journal of Environmental Science and Technology (2022) Vol. 20, Iss. 9, pp. 10297-10312
Closed Access | Times Cited: 9
Estimation of the ground-level SO2 concentration in eastern China based on the LightGBM model and Himawari-8 TOAR
Xu Tan, Bin Chen, Yuxiang Ren, et al.
Frontiers in Earth Science (2023) Vol. 10
Open Access | Times Cited: 4
Climate modulation of external forcing factors on air quality change in Eastern China: Implications for PM2.5 seasonal prediction
Jinghui Ma, Yuanhao Qu, Zhongqi Yu, et al.
The Science of The Total Environment (2023) Vol. 905, pp. 166989-166989
Closed Access | Times Cited: 4
Calibrating low-cost sensors using MERRA-2 reconstructed PM2.5 mass concentration as a proxy
Vasudev Malyan, Vikas Kumar, Manoranjan Sahu, et al.
Atmospheric Pollution Research (2023) Vol. 15, Iss. 3, pp. 102027-102027
Closed Access | Times Cited: 4
Spatiotemporally Continuous Reconstruction of Retrieved PM2.5 Data Using an Autogeoi-Stacking Model in the Beijing-Tianjin-Hebei Region, China
W. P. Chu, Chunxiao Zhang, Yuwei Zhao, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4432-4432
Open Access | Times Cited: 7
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