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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:

From COVID-19 to future electrification: Assessing traffic impacts on air quality by a machine-learning model
Jiani Yang, Yifan Wen, Yuan Wang, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 26
Open Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

Revealing Drivers of Haze Pollution by Explainable Machine Learning
Linlu Hou, Qili Dai, Congbo Song, et al.
Environmental Science & Technology Letters (2022) Vol. 9, Iss. 2, pp. 112-119
Closed Access | Times Cited: 156
Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover
Ying Chen, Jim Haywood, Yu Wang, et al.
Nature Geoscience (2022) Vol. 15, Iss. 8, pp. 609-614
Open Access | Times Cited: 82
Contributions of various driving factors to air pollution events: Interpretability analysis from Machine learning perspective
Tianshuai Li, Qingzhu Zhang, Yanbo Peng, et al.
Environment International (2023) Vol. 173, pp. 107861-107861
Open Access | Times Cited: 42
Explainable ensemble machine learning revealing the effect of meteorology and sources on ozone formation in megacity Hangzhou, China
Lei Zhang, Lili Wang, Dan Ji, et al.
The Science of The Total Environment (2024) Vol. 922, pp. 171295-171295
Closed Access | Times Cited: 15
Dynamic Traffic Data in Machine-Learning Air Quality Mapping Improves Environmental Justice Assessment
Yifan Wen, Shaojun Zhang, Yuan Wang, et al.
Environmental Science & Technology (2024)
Closed Access | Times Cited: 14
Machine Learning-Assisted Optimization of Mixed Carbon Source Compositions for High-Performance Denitrification
Yuan Pan, Tian-Wei Hua, Rui-Zhe Sun, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 28, pp. 12498-12508
Closed Access | Times Cited: 14
A data-driven method of traffic emissions mapping with land use random forest models
Yifan Wen, Ruoxi Wu, Zihang Zhou, et al.
Applied Energy (2021) Vol. 305, pp. 117916-117916
Closed Access | Times Cited: 84
Global benefits of non‐continuous flooding to reduce greenhouse gases and irrigation water use without rice yield penalty
Yan Bo, Jonas Jägermeyr, Zun Yin, et al.
Global Change Biology (2022) Vol. 28, Iss. 11, pp. 3636-3650
Open Access | Times Cited: 45
Deciphering urban traffic impacts on air quality by deep learning and emission inventory
Wenjie Du, Lianliang Chen, Haoran Wang, et al.
Journal of Environmental Sciences (2022) Vol. 124, pp. 745-757
Closed Access | Times Cited: 38
Future reductions of China’s transport emissions impacted by changing driving behaviour
Yingji Xia, Chenlei Liao, Xiqun Chen, et al.
Nature Sustainability (2023) Vol. 6, Iss. 10, pp. 1228-1236
Closed Access | Times Cited: 28
Machine learning model to predict vehicle electrification impacts on urban air quality and related human health effects
Vicent Calatayud, J. J. Diéguez, Evgenios Agathokleous, et al.
Environmental Research (2023) Vol. 228, pp. 115835-115835
Closed Access | Times Cited: 23
Smart charging and discharging of electric vehicles based on multi-objective robust optimization in smart cities
Zhaosheng Yao, Zhiyuan Wang, Lun Ran
Applied Energy (2023) Vol. 343, pp. 121185-121185
Closed Access | Times Cited: 23
Dissecting Drivers of Ozone Pollution during the 2022 Multicity Lockdowns in China Sheds Light on Future Control Direction
Yue Tan, Yingnan Zhang, Tao Wang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 16, pp. 6988-6997
Closed Access | Times Cited: 9
Diagnosing the Model Bias in Simulating Daily Surface Ozone Variability Using a Machine Learning Method: The Effects of Dry Deposition and Cloud Optical Depth
Xingpei Ye, Xiaolin Wang, Lin Zhang
Environmental Science & Technology (2022) Vol. 56, Iss. 23, pp. 16665-16675
Closed Access | Times Cited: 31
The impacts from cold start and road grade on real-world emissions and fuel consumption of gasoline, diesel and hybrid-electric light-duty passenger vehicles
Liqiang He, Yan You, Xuan Zheng, et al.
The Science of The Total Environment (2022) Vol. 851, pp. 158045-158045
Closed Access | Times Cited: 30
Future urban transport management
Ziyou Gao, Hai Huang, Jifu Guo, et al.
Frontiers of Engineering Management (2023) Vol. 10, Iss. 3, pp. 534-539
Open Access | Times Cited: 18
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
Insights into ozone pollution control in urban areas by decoupling meteorological factors based on machine learning
Yuqing Qiu, Xin Li, Wenxuan Chai, et al.
Atmospheric chemistry and physics (2025) Vol. 25, Iss. 3, pp. 1749-1763
Open Access
Constructing the 3D Spatial Distribution of the HCHO/NO2 Ratio via Satellite Observation and Machine Learning Model
Zhiwen Jiang, Shanshan Wang, Yuhao Yan, et al.
Environmental Science & Technology (2025)
Closed Access
Key toxic components and sources affecting oxidative potential of atmospheric particulate matter using interpretable machine learning: Insights from fog episodes
Ruiyu Li, Caiqing Yan, Qingpeng Meng, et al.
Journal of Hazardous Materials (2023) Vol. 465, pp. 133175-133175
Closed Access | Times Cited: 14
Characteristics of NOX and NH3 emissions from in-use heavy-duty diesel vehicles with various aftertreatment technologies in China
Liqiang He, Gang Li, Xiaomeng Wu, et al.
Journal of Hazardous Materials (2023) Vol. 465, pp. 133073-133073
Closed Access | Times Cited: 12
Air pollution changes due to COVID-19 lockdowns and attributable mortality changes in four countries
Yiqun Ma, Federica Nobile, Anne Marb, et al.
Environment International (2024) Vol. 187, pp. 108668-108668
Open Access | Times Cited: 4
Predicting ozone formation in petrochemical industrialized Lanzhou city by interpretable ensemble machine learning
Li Wang, Yuan Zhao, Jinsen Shi, et al.
Environmental Pollution (2022) Vol. 318, pp. 120798-120798
Closed Access | Times Cited: 21
Impacts of traffic-related particulate matter pollution on semen quality: A retrospective cohort study relying on the random forest model in a megacity of South China
Xiaolin Yu, Qiling Wang, Jing Wei, et al.
The Science of The Total Environment (2022) Vol. 851, pp. 158387-158387
Closed Access | Times Cited: 19
Ozone formation sensitivity study using machine learning coupled with the reactivity of volatile organic compound species
Junlei Zhan, Yongchun Liu, Wei Ma, et al.
Atmospheric measurement techniques (2022) Vol. 15, Iss. 5, pp. 1511-1520
Open Access | Times Cited: 18
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