Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Understanding Sources and Drivers of Size-Resolved Aerosol in the High Arctic Islands of Svalbard Using a Receptor Model Coupled with Machine Learning
Congbo Song, Silvia Becagli, David C. S. Beddows, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 16, pp. 11189-11198
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Enhancing phosphorus source apportionment in watersheds through species-specific analysis
Yuansi Hu, Mengli Chen, Jia Pu, et al.
Water Research (2024) Vol. 253, pp. 121262-121262
Closed Access | Times Cited: 14
Enhanced ozone pollution in the summer of 2022 in China: The roles of meteorology and emission variations
Huang Zheng, Shaofei Kong, Yuan He, et al.
Atmospheric Environment (2023) Vol. 301, pp. 119701-119701
Closed Access | Times Cited: 38
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
Estimating particulate matter concentrations and meteorological contributions in China during 2000–2020
Shuai Wang, Peng Wang, Ruhan Zhang, et al.
Chemosphere (2023) Vol. 330, pp. 138742-138742
Closed Access | Times Cited: 21
Identifying Driving Factors of Atmospheric N2O5 with Machine Learning
Xin Chen, Wei Ma, Feixue Zheng, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 26, pp. 11568-11577
Closed Access | Times Cited: 5
Unlocking Drivers of Country-Specific Sensitivities of Atmospheric Greenhouse Gas Accumulation: Preparing for Future Pandemic Management
Chen Wang, Wei Wei, Xueming Chen, et al.
Environmental Science & Technology (2025)
Closed Access
Understanding the low-temperature drying process of sludge with machine learning in a sewage-source heat pump drying system
Yi Li, Guang‐Yu Yang, Wenlong Zhang, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124284-124284
Closed Access
Measuring the Emission Changes and Meteorological Dependence of Source‐Specific BC Aerosol Using Factor Analysis Coupled With Machine Learning
Tianjiao Dai, Qili Dai, Jing Ding, et al.
Journal of Geophysical Research Atmospheres (2023) Vol. 128, Iss. 15
Closed Access | Times Cited: 12
Aerosol‐Correlated Cloud Activation for Clean Conditions in the Tropical Atlantic Boundary Layer During LASIC
Jeramy L. Dedrick, Lynn M. Russell, Arthur J. Sedlacek, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 3
Open Access | Times Cited: 4
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: 11
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
Kolmogorov-Zurbenko filter coupled with machine learning to reveal multiple drivers of surface ozone pollution in China from 2015 to 2022
Tianen Yao, Huaixiao Ye, Yaqi Wang, et al.
The Science of The Total Environment (2024) Vol. 949, pp. 175093-175093
Closed Access | Times Cited: 2
Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method
Jin Xue, Fangting Wang, Kun Zhang, et al.
Frontiers of Environmental Science & Engineering (2023) Vol. 17, Iss. 11
Closed Access | Times Cited: 5
Revealing the Covariation of Atmospheric O2 and Pollutants in an Industrial Metropolis by Explainable Machine Learning
Xiaoyue Liu, Li Wang, Jianping Huang, et al.
Environmental Science & Technology Letters (2023) Vol. 10, Iss. 10, pp. 851-858
Closed Access | Times Cited: 5
Studying the Aerosol Effect on Deep Convective Clouds over the Global Oceans by Applying Machine Learning Techniques on Long-Term Satellite Observation
Xuepeng Zhao, James Frech, Michael J. Foster, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2487-2487
Open Access | Times Cited: 1
Characterization of size-segregated particles' turbulent flux and deposition velocity by eddy correlation method at an Arctic site
Antonio Donateo, Gianluca Pappaccogli, D. Famulari, et al.
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 13, pp. 7425-7445
Open Access | Times Cited: 4
Unexpected Trade-Offs of Fossil Fuel Reduction on PM2.5 and O3 Pollution Regulation Can Be Offset by Synergistic Control of VOCs Source
Guoliang Shi, Haofei Yu, Jie Li, et al.
ACS ES&T Air (2024) Vol. 1, Iss. 7, pp. 660-669
Closed Access | Times Cited: 1
Pan-Arctic methanesulfonic acid aerosol: source regions, atmospheric drivers, and future projections
Jakob Pernov, Eliza Harris, Michele Volpi, et al.
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Atmospheric reactive nitrogen conversion kicks off the co-directional and contra-directional effects on PM2.5-O3 pollution
Feng Wang, Chun Zhang, Yi Ge, et al.
Journal of Hazardous Materials (2024) Vol. 478, pp. 135558-135558
Closed Access | Times Cited: 1
Submicron Organic Aerosol Types in the Summertime Arctic: Mixing State, Geographic Distribution, and Drivers
Bojiang Su, Guohua Zhang, Congbo Song, et al.
Journal of Geophysical Research Atmospheres (2024) Vol. 129, Iss. 17
Closed Access | Times Cited: 1
A Google Earth Engine-Based Framework to Identify Patterns and Drivers of Mariculture Dynamics in an Intensive Aquaculture Bay in China
Peng Wang, Wang Jian, Xiaoxiang Liu, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 763-763
Open Access | Times Cited: 3
Enrichment of calcium in sea spray aerosol: insights from bulk measurements and individual particle analysis during the R/V Xuelong cruise in the summertime in Ross Sea, Antarctica
Bojiang Su, Xinhui Bi, Zhou Zhang, et al.
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 18, pp. 10697-10711
Open Access | Times Cited: 3
Analysis of concentrations of nitrate salts of PM2.5 in downwind marine atmospheres related to gas-particle partitioning and different sources in China
Qian Zhang, Xiaohong Yao
E3S Web of Conferences (2024) Vol. 536, pp. 02021-02021
Open Access
Machine learning-derived dose-response relationships considering interactions in mixtures: Applications to the oxidative potential of particulate matter
Charles O. Esu, JongCheol Pyo, Kuk Cho
Journal of Hazardous Materials (2024) Vol. 475, pp. 134864-134864
Closed Access
Seasonal dynamics of airborne biomolecules influence the size distribution of Arctic aerosols
Eunho Jang, Ki‐Tae Park, Young Jun Yoon, et al.
Environmental Science and Ecotechnology (2024) Vol. 22, pp. 100458-100458
Open Access
Page 1 - Next Page

Scroll to top