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:

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

Showing 1-25 of 42 citing articles:

Application of machine learning in atmospheric pollution research: A state-of-art review
Zezhi Peng, Bin Zhang, Diwei Wang, et al.
The Science of The Total Environment (2023) Vol. 910, pp. 168588-168588
Closed Access | Times Cited: 23

Effects of heavy metal exposure on hypertension: A machine learning modeling approach
Wenxiang Li, Guangyi Huang, Ningning Tang, et al.
Chemosphere (2023) Vol. 337, pp. 139435-139435
Closed Access | Times Cited: 22

Weather and the City: Machine Learning for Predicting and Attributing Fine Scale Air Quality to Meteorological and Urban Determinants
Firas Gerges, Maider Llaguno-Munitxa, Mark A. Zondlo, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 14, pp. 6313-6325
Closed Access | Times Cited: 9

Spatial distribution and source identification of potentially toxic elements in Yellow River Delta soils, China: An interpretable machine-learning approach
Mengge Zhou, Yonghua Li
The Science of The Total Environment (2023) Vol. 912, pp. 169092-169092
Closed Access | Times Cited: 15

Key drivers of the oxidative potential of PM2.5 in Beijing in the context of air quality improvement from 2018 to 2022
Jinwen Li, Chenjie Hua, Li Ma, et al.
Environment International (2024) Vol. 187, pp. 108724-108724
Open Access | Times Cited: 6

Trends and drivers of dissolved organic carbon in major Arctic rivers
Mingxin Song, Jue Huang, Desong Zhao, et al.
Ecological Indicators (2025) Vol. 170, pp. 113081-113081
Open Access

Advancing AI Interpretability in Medical Imaging: A Comparative Analysis of Pixel-Level Interpretability and Grad-CAM Models
Mohammad Ennab, Hamid Mcheick
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 1, pp. 12-12
Open Access

A study on the impact of meteorological and emission factors on PM2.5 concentrations based on machine learning
Guoying Zhao, Zejian Lin, Leifeng Yang, et al.
Journal of Environmental Management (2025) Vol. 376, pp. 124347-124347
Closed Access

Machine learning-guided integration of fixed and mobile sensors for high resolution urban PM2.5 mapping
Tianshuai Li, Xin Huang, Xin Zhang, et al.
npj Climate and Atmospheric Science (2025) Vol. 8, Iss. 1
Open Access

Effects of Various Heavy Metal Exposures on Insulin Resistance in Non-diabetic Populations: Interpretability Analysis from Machine Learning Modeling Perspective
Jun Liu, Xingyu Li, Peng Zhu
Biological Trace Element Research (2024) Vol. 202, Iss. 12, pp. 5438-5452
Closed Access | Times Cited: 4

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: 10

Exploring the primary magnetic parameters affecting chemical fractions of heavy metal(loid)s in lake sediment through an interpretable workflow
Ligang Deng, Yifan Fan, Kai Liu, et al.
Journal of Hazardous Materials (2024) Vol. 468, pp. 133859-133859
Closed Access | Times Cited: 3

Reconstructing long-term (1980–2022) daily ground particulate matter concentrations in India (LongPMInd)
Shuai Wang, Mengyuan Zhang, Hui Zhao, et al.
Earth system science data (2024) Vol. 16, Iss. 8, pp. 3565-3577
Open Access | Times Cited: 3

Diagnosing drivers of PM2.5 simulation biases in China from meteorology, chemical composition, and emission sources using an efficient machine learning method
Shuai Wang, Mengyuan Zhang, Yueqi Gao, et al.
Geoscientific model development (2024) Vol. 17, Iss. 9, pp. 3617-3629
Open Access | Times Cited: 2

A machine learning algorithm to explore the drivers of carbon emissions in Chinese cities
Wenmei Yu, Lina Xia, Qiang Cao
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review
Sreeni Chadalavada, Oliver Faust, Massimo Salvi, et al.
Environmental Modelling & Software (2024), pp. 106312-106312
Closed Access | Times Cited: 2

Development and application of a multi-task oriented deep learning model for quantifying drivers of air pollutant variations: A case study in Taiyuan, China
Rumei Li, Jinghao Zhao, Kun Feng, et al.
The Science of The Total Environment (2024) Vol. 920, pp. 170777-170777
Closed Access | Times Cited: 1

Sources and formation characteristics of particulate nitrate in the Pearl River Delta region of China: Insights from three-year online observations
Jisheng Zhang, Zheng Zong, Chenglei Pei, et al.
The Science of The Total Environment (2024) Vol. 945, pp. 174107-174107
Closed Access | Times Cited: 1

EXAMINING EFFECTS OF AIR POLLUTION ON PHOTOVOLTAIC SYSTEMS VIA INTERPRETABLE RANDOM FOREST MODEL
Adam Dudáš, Mihaela Tinca Udriștioiu, Tarik Alkharusi, et al.
Renewable Energy (2024) Vol. 232, pp. 121066-121066
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

Effects of masks on physiological and thermal responses of college students during outdoor activities
Chujian Gu, Yang Li, Xiaohui Nian, et al.
Urban Climate (2023) Vol. 52, pp. 101720-101720
Closed Access | Times Cited: 4

Quantifying the pollution changes and meteorological dependence of airborne trace elements coupling source apportionment and machine learning
Haolin Wang, Xu Guan, Jiao Li, et al.
The Science of The Total Environment (2024) Vol. 948, pp. 174452-174452
Closed Access | Times Cited: 1

Towards Cleaner Air in Urban Areas: The Dual Influence of Urban Built Environment Factors and Regional Transport
Li Han, Yongjie Qi, Dong Liu, et al.
Environmental Pollution (2024), pp. 125584-125584
Closed Access | Times Cited: 1

What Determinants Will Enhance or Constrain the Spatiality of Agricultural Products with Geographical Indications in Northeast China? An Interpretable Learning Approach
Siqi Luo, MA Yan-ji, Tianli Wang
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 11, pp. 442-442
Open Access | Times Cited: 2

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