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:

A gap-filling hybrid approach for hourly PM2.5 prediction at high spatial resolution from multi-sourced AOD data
Qiang Pu, Eun‐Hye Yoo
Environmental Pollution (2022) Vol. 315, pp. 120419-120419
Closed Access | Times Cited: 15

Showing 15 citing articles:

A review of machine learning for modeling air quality: Overlooked but important issues
Dié Tang, Yu Zhan, Fumo Yang
Atmospheric Research (2024) Vol. 300, pp. 107261-107261
Closed Access | Times Cited: 37

Spatiotemporally continuous PM2.5 dataset in the Mekong River Basin from 2015 to 2022 using a stacking model
D. Y. Chen, Xingfa Gu, Hong Guo, et al.
The Science of The Total Environment (2024) Vol. 914, pp. 169801-169801
Closed Access | Times Cited: 8

Retrieving hourly seamless PM2.5 concentration across China with physically informed spatiotemporal connection
Yu Ding, Siwei Li, Jia Xing, et al.
Remote Sensing of Environment (2023) Vol. 301, pp. 113901-113901
Closed Access | Times Cited: 13

Implementation of a GEOAI model to assess the impact of agricultural land on the spatial distribution of PM2.5 concentration
Lorenzo Gianquintieri, Daniele Oxoli, Enrico G. Caiani, et al.
Chemosphere (2024) Vol. 352, pp. 141438-141438
Open Access | Times Cited: 5

A Novel Evolutionary Deep Learning Approach for PM2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran
Mehrdad Kaveh, Mohammad Saadi Mesgari, Masoud Kaveh
ISPRS International Journal of Geo-Information (2025) Vol. 14, Iss. 2, pp. 42-42
Open Access

Systematic Evaluation of Four Satellite AOD Datasets for Estimating PM2.5 Using a Random Forest Approach
Jana Handschuh, Thilo Erbertseder, F. W. Baier
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2064-2064
Open Access | Times Cited: 9

State-of-art in modelling particulate matter (PM) concentration: a scoping review of aims and methods
Lorenzo Gianquintieri, Daniele Oxoli, Enrico G. Caiani, et al.
Environment Development and Sustainability (2024)
Open Access | Times Cited: 3

Evolutionary analysis of nuclear wastewater collaborative governance based on prospect theory
X. Liu, Jianjin Yue, Li Luo, et al.
Journal of Cleaner Production (2024) Vol. 465, pp. 142856-142856
Closed Access | Times Cited: 3

Daily PM2.5 and Seasonal-Trend Decomposition to Identify Extreme Air Pollution Events from 2001 to 2020 for Continental Australia Using a Random Forest Model
Nicolás Borchers Arriagada, Geoffrey Morgan, Joe Van Buskirk, et al.
Atmosphere (2024) Vol. 15, Iss. 11, pp. 1341-1341
Open Access | Times Cited: 3

Multi-source data fusion for filling gaps in satellite Aerosol Optical Depth (AOD) using generative models
Anusha Srirenganathan Malarvizhi, Phoebe Pan
(2024), pp. 28-38
Closed Access | Times Cited: 1

A MAIA-like modeling framework to estimate PM2.5 mass and speciation concentrations with uncertainty
Zhihao Jin, Qiang Pu, Nathan J. Janechek, et al.
Remote Sensing of Environment (2024) Vol. 303, pp. 113995-113995
Closed Access

Spatiotemporal continuous PM2.5 concentrations inversion based on multisource data and hybrid model
Wang Li, Lili Xu, Zhiyong Li, et al.
(2024), pp. 31-31
Closed Access

Improving assessment of population exposure and health impacts to PM 2.5 with high spatial and temporal data
Xia Zhao, Yuyu Zhou, Xi Li, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access

Estimating 1-km PM2.5 concentrations based on a novel spatiotemporal parallel network STMSPNet in the Beijing-Tianjin-Hebei region
Qiaolin Zeng, Mingzheng Li, Meng Fan, et al.
Atmospheric Environment (2024) Vol. 338, pp. 120796-120796
Closed Access

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