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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:

Using machine learning to quantify drivers of aerosol pollution trend in China from 2015 to 2022
Yao Ji, Yunjiang Zhang, Diwen Liu, et al.
Applied Geochemistry (2023) Vol. 151, pp. 105614-105614
Closed Access | Times Cited: 9

Showing 9 citing articles:

Machine learning assesses drivers of PM2.5 air pollution trend in the Tibetan Plateau from 2015 to 2022
Binqian Zhang, Yunjiang Zhang, Kexin Zhang, et al.
The Science of The Total Environment (2023) Vol. 878, pp. 163189-163189
Closed Access | Times Cited: 19
Achievements and challenges in improving air quality in China: Analysis of the long-term trends from 2014 to 2022
Huang Zheng, Shaofei Kong, Jihoon Seo, et al.
Environment International (2023) Vol. 183, pp. 108361-108361
Open Access | Times Cited: 12
An intercomparison of weather normalization of PM2.5 concentration using traditional statistical methods, machine learning, and chemistry transport models
Huang Zheng, Shaofei Kong, Shixian Zhai, et al.
npj Climate and Atmospheric Science (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 12
Ada-XG-CatBoost: A Combined Forecasting Model for Gross Ecosystem Product (GEP) Prediction
Yang Liu, Tianxing Yang, Liwei Tian, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 7203-7203
Open Access | Times Cited: 3
Anthropogenic-driven changes in concentrations and sources of winter volatile organic compounds in an urban environment in the Yangtze River Delta of China between 2013 and 2021
Zihang Zhang, Yunjiang Zhang, Sheng Zhong, et al.
The Science of The Total Environment (2024) Vol. 942, pp. 173713-173713
Closed Access | Times Cited: 2
Insights into the seasonal characteristics of single particle aerosols in Chengdu based on SPAMS
Junke Zhang, Yunfei Su, Chunying Chen, et al.
Journal of Environmental Sciences (2024) Vol. 149, pp. 431-443
Closed Access | Times Cited: 1
Machine Learning Explains Long-Term Trend and Health Risk of Air Pollution during 2015–2022 in a Coastal City in Eastern China
Zihe Qian, Qingxiao Meng, Kehong Chen, et al.
Toxics (2023) Vol. 11, Iss. 6, pp. 481-481
Open Access | Times Cited: 3
Preface to “atmospheric geochemistry: A special issue endorsed by IGAC China working group and IAGC China working group”
Mingjin Tang, Lei Geng, Shengrui Tong, et al.
Applied Geochemistry (2024) Vol. 161, pp. 105903-105903
Closed 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
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