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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:

Projected Aerosol Changes Driven by Emissions and Climate Change Using a Machine Learning Method
Huimin Li, Yang Yang, Hailong Wang, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 7, pp. 3884-3893
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations
Jing Wei, Zhanqing Li, Jun Wang, et al.
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 2, pp. 1511-1532
Open Access | Times Cited: 158
Separating Daily 1 km PM2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data
Jing Wei, Zhanqing Li, Xi Chen, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 18282-18295
Closed Access | Times Cited: 96
Aerosols overtake greenhouse gases causing a warmer climate and more weather extremes toward carbon neutrality
Pinya Wang, Yang Yang, Daokai Xue, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 61
Prediction of Photochemical Properties of Dissolved Organic Matter Using Machine Learning
Zhiyang Liao, Jinrong Lu, Kunting Xie, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17971-17980
Closed Access | Times Cited: 47
The application of machine learning to air pollution research: A bibliometric analysis
Yunzhe Li, Zhipeng Sha, Aohan Tang, et al.
Ecotoxicology and Environmental Safety (2023) Vol. 257, pp. 114911-114911
Open Access | Times Cited: 29
Climate-driven deterioration of future ozone pollution in Asia predicted by machine learning with multi-source data
Huimin Li, Yang Yang, Jianbing Jin, et al.
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 2, pp. 1131-1145
Open Access | Times Cited: 27
Development potential of nanoenabled agriculture projected using machine learning
Peng Deng, Yiming Gao, Mu Li, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 25
Open Access | Times Cited: 24
Fast climate responses to emission reductions in aerosol and ozone precursors in China during 2013–2017
Jiyuan Gao, Yang Yang, Hailong Wang, et al.
Atmospheric chemistry and physics (2022) Vol. 22, Iss. 11, pp. 7131-7142
Open Access | Times Cited: 30
High spatio-temporal resolution predictions of PM2.5 using low-cost sensor data
Armita Kar, Mohammed Ahmed, Andrew A. May, et al.
Atmospheric Environment (2024) Vol. 326, pp. 120486-120486
Open Access | Times Cited: 7
Contrasting changes in ozone during 2019–2021 between eastern and the other regions of China attributed to anthropogenic emissions and meteorological conditions
Yiqian Ni, Yang Yang, Hailong Wang, et al.
The Science of The Total Environment (2023) Vol. 908, pp. 168272-168272
Closed Access | Times Cited: 13
Optimizing urban water sustainability: Integrating deep learning, genetic algorithm, and CMIP6 GCM for groundwater potential zone prediction within a social-ecological-technological framework
Mahfuzur Rahman, Md. Monirul Islam, Hyeong-Joo Kim, et al.
Advances in Space Research (2024) Vol. 73, Iss. 12, pp. 5925-5948
Closed Access | Times Cited: 4
Transferability of Machine Learning Models for Geogenic Contaminated Groundwaters
Hailong Cao, Xianjun Xie, Ziyi Xiao, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 20, pp. 8783-8791
Closed Access | Times Cited: 4
Ozone Pollution in China Affected by Climate Change in a Carbon Neutral Future as Predicted by a Process‐Based Interpretable Machine Learning Method
Huimin Li, Yang Yang, Hang Su, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 13
Open Access | Times Cited: 4
A hybrid PM2.5 interval concentration prediction framework based on multi-factor interval decomposition reconstruction strategy and attention mechanism
Jiaming Zhu, Niu Li-li, Zheng Peng, et al.
Atmospheric Environment (2024) Vol. 335, pp. 120730-120730
Closed Access | Times Cited: 4
Response of ozone to current and future emission scenarios and the resultant human health impact in Southeast Asia
Tingting Fang, Jie Hu, Yefu Gu, et al.
Environment International (2025) Vol. 197, pp. 109333-109333
Open Access
Enhancing Differentiation of Oxygenated Organic Aerosol: A Machine Learning Approach to Distinguish Local and Transboundary Pollution
Lei Lü, Wei Xu, Chunshui Lin, et al.
ACS ES&T Air (2025) Vol. 2, Iss. 5, pp. 891-902
Closed Access
The effects of climate change on EO/IR propagation using CMIP6 global atmospheric forecasting simulations
Parker Coye, Adam Willitsford
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Mitigating Aerosol Emissions Can Effectively Offset Climate Warming Impacts on Snowmelt
Yuxuan Xing, Shirui Yan, Yang Chen, et al.
Environmental Science & Technology (2025)
Closed Access
Mapping Regional Meteorological Processes to Ozone Variability in the North China Plain and the Yangtze River Delta, China
Hu Feng, Pinhua Xie, Jin Xu, et al.
Environmental Science & Technology (2025)
Closed Access
Three-Dimensional Structure and Transport Properties of Dust Aerosols in Central Asia—New Insights from CALIOP Observations, 2007–2022
Jinglong Li, Qing He, Yonghui Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2049-2049
Open Access | Times Cited: 3
Machine learning models application for spatiotemporal patterns of particulate matter prediction and forecasting over Morocco in north of Africa
Salah Eddine Sbai, L.B. Drissi, Nezha Mejjad, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 9, pp. 102239-102239
Closed Access | Times Cited: 3
Global estimates of ambient reactive nitrogen components during 2000–2100 based on the multi-stage model
Rui Li, Yining Gao, Lijia Zhang, et al.
Atmospheric chemistry and physics (2024) Vol. 24, Iss. 13, pp. 7623-7636
Open Access | Times Cited: 3
Interpretable data-driven prediction methods for atmospheric chloride deposition rate
Qian Chen, Han Wang, Yujie Liu, et al.
Atmospheric Environment (2024) Vol. 334, pp. 120687-120687
Closed Access | Times Cited: 3
Estimating the importance of environmental factors influencing the urban heat island for urban areas in Greece. A machine learning approach
Ilias Petrou, Pavlos Kassomenos
Journal of Environmental Management (2024) Vol. 368, pp. 122255-122255
Closed Access | Times Cited: 3
Impacts of reducing scattering and absorbing aerosols on the temporal extent and intensity of South Asian summer monsoon and East Asian summer monsoon
Chenwei Fang, Jim Haywood, Ju Liang, et al.
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 14, pp. 8341-8368
Open Access | Times Cited: 5
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