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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 51-75 of 95 citing articles:

Machine learning elucidates ubiquity of enhanced ozone air pollution in China linked to the spring festival effect
Baizhen Zhu, Jie Fang, Yunjiang Zhang, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 6, pp. 102127-102127
Closed Access | Times Cited: 1
What Can the COVID-19 Pandemic Tell Us About the Energy Transition? A Nitrogen Dioxide and Ground-Level Ozone Study
Angelo Roldão Soares, Carla Silva
Atmosphere (2024) Vol. 15, Iss. 12, pp. 1453-1453
Open Access | Times Cited: 1
Vehicle emissions in a megacity of Xi'an in China: A comprehensive inventory, air quality impact, and policy recommendation
Qishang Zhou, Yun Jiang, Xiaoping Li, et al.
Urban Climate (2023) Vol. 52, pp. 101740-101740
Closed Access | Times Cited: 4
Revisiting the impact of temperature on ground-level ozone: A causal inference approach
Baihua Chen, Ling Zhen, Lin Wang, et al.
The Science of The Total Environment (2024) Vol. 953, pp. 176062-176062
Closed Access | Times Cited: 1
Long-term Evaluation of Machine Learning Based Methods for Air Emission Monitoring
Minxing Si, Brett M. Wiens, Ke Du
Environmental Management (2024)
Closed Access | Times Cited: 1
Data imbalance causes underestimation of high ozone pollution in machine learning models: a weighted support vector regression solution
Ling Zhen, Baihua Chen, Lin Wang, et al.
Atmospheric Environment (2024), pp. 120952-120952
Closed Access | Times Cited: 1
Appreciating the role of big data in the modernization of environmental governance
Miaomiao Liu, Bing Zhang, Jun Bi
Frontiers of Engineering Management (2022) Vol. 9, Iss. 1, pp. 163-169
Open Access | Times Cited: 7
Enhanced natural releases of mercury in response to the reduction in anthropogenic emissions during the COVID-19 lockdown by explainable machine learning
Xiaofei Qin, Shengqian Zhou, Hao Li, et al.
Atmospheric chemistry and physics (2022) Vol. 22, Iss. 24, pp. 15851-15865
Open Access | Times Cited: 7
New Insights into Unexpected Severe PM2.5 Pollution during the SARS and COVID-19 Pandemic Periods in Beijing
Peijie Zuo, Zheng Zong, Bo Zheng, et al.
Environmental Science & Technology (2021) Vol. 56, Iss. 1, pp. 155-164
Closed Access | Times Cited: 10
Marginal reduction in surface NO2 attributable to airport shutdown: A machine learning regression-based approach
Bo Han, Tingwei Yao, Guojian Li, et al.
Environmental Research (2022) Vol. 214, pp. 114117-114117
Closed Access | Times Cited: 6
Inferred vehicular emissions at a near-road site: Impacts of COVID-19 restrictions, traffic patterns, and ambient air temperature
Dolly Hall, Hao He, Xinrong Ren, et al.
Atmospheric Environment (2023) Vol. 299, pp. 119649-119649
Open Access | Times Cited: 3
Mapping the personal PM2.5 exposure of China's population using random forest
Zhenglei Li, Yu Chen, Tao Yan, et al.
The Science of The Total Environment (2023) Vol. 871, pp. 162090-162090
Closed Access | Times Cited: 3
Assessment of light-duty versus heavy-duty diesel on-road mobile source emissions using general additive models applied to traffic volume and air quality data and COVID-19 responses
Samuel Orth, Armistead G. Russell
Journal of the Air & Waste Management Association (2023) Vol. 73, Iss. 5, pp. 374-393
Closed Access | Times Cited: 3
Spatiotemporal evolution of NO2 diffusion in Beijing in response to COVID-19 lockdown using complex network
Zhe Zhang, Hong-di He, Jinming Yang, et al.
Chemosphere (2022) Vol. 293, pp. 133631-133631
Open Access | Times Cited: 4
Forecasting the progression of human civilization on the Kardashev Scale through 2060 with a machine learning approach
Antong Zhang, Jiani Yang, Yangcheng Luo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Variation trend prediction of ground-level ozone concentrations with high-resolution using landscape pattern data
Yingying Mei, Xueqi Xiang, Zhenwei Wang, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0294038-e0294038
Open Access | Times Cited: 2
The heterogeneous air pollution response to shrunk socio-economic activities in 28 major northern cities of China
Shimeng Wang, Yuanyuan Mei, Zixuan Pei, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 8, pp. 102163-102163
Closed Access
Heavy-Duty Diesel Trucks on Highways in Beijing-Tianjin-Hebei: Constant Challenge in Pollution Control
Yingying Han, Chang Wang, Yixue Zhu, et al.
(2024)
Closed Access
Machine learning exploring the chemical compositions characteristics and sources of PM2.5 from reduced on-road activity
Dan Liao, Youwei Hong, Huabin Huang, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 11, pp. 102265-102265
Closed Access
Hybrid Deep Learning-Based Air Pollution Prediction and Index Classification Using an Optimization Algorithm
Sreenivasulu Kutala, A. Harshavardhan, Sangeetha Velu, et al.
AIMS environmental science (2024) Vol. 11, Iss. 4, pp. 551-575
Open Access
Trends in Emissions from Road Traffic in Rapidly Urbanizing Areas
Yinuo Xu, Dawei Weng, Shuo Wang, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7400-7400
Open Access
A comparison of meteorological normalization of PM2.5 by multiple linear regression, general additive model, and random forest methods
Ling Qi, Haotian Zheng, Dian Ding, et al.
Atmospheric Environment (2024), pp. 120854-120854
Closed Access
Utilizing an Arduino Uno-Based System with Integrated Sensor Data Fusion and Filtration Techniques for Enhanced Air Quality Monitoring in Residential Spaces
Ivan Rudavskyi, Halyna Klym, Yuriy Kostiv, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 9012-9012
Open Access
The Long-Term Impact of COVID-19 Lockdowns in Istanbul
Elçin Tan
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 21, pp. 14235-14235
Open Access | Times Cited: 3
A quantitative analysis of causes for increasing ozone pollution in Shanghai during the 2022 lockdown and implications for control policy
Yingnan Zhang, Qingyan Fu, Tao Wang, et al.
Atmospheric Environment (2024) Vol. 326, pp. 120469-120469
Closed Access

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