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:

Correcting Measurement Error in Satellite Aerosol Optical Depth with Machine Learning for Modeling PM2.5 in the Northeastern USA
Allan C. Just, Margherita M. De Carli, Alexandra Shtein, et al.
Remote Sensing (2018) Vol. 10, Iss. 5, pp. 803-803
Open Access | Times Cited: 77

Showing 26-50 of 77 citing articles:

Satellite-based view of the aerosol spatial and temporal variability in the Córdoba region (Argentina) using over ten years of high-resolution data
Lara Sofía Della Ceca, María Fernanda García Ferreyra, Alexei Lyapustin, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 145, pp. 250-267
Open Access | Times Cited: 37

Estimating PM2.5 Concentrations Using Spatially Local Xgboost Based on Full-Covered SARA AOD at the Urban Scale
Zhiyu Fan, Qingming Zhan, Chen Yang, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3368-3368
Open Access | Times Cited: 28

Estimating PM2.5 Concentrations Using the Machine Learning RF-XGBoost Model in Guanzhong Urban Agglomeration, China
Lujun Lin, Yongchun Liang, Lei Liu, et al.
Remote Sensing (2022) Vol. 14, Iss. 20, pp. 5239-5239
Open Access | Times Cited: 18

Investigating the interactive and heterogeneous effects of green and blue space on urban PM2.5 concentration, a case study of Wuhan
Zhiyu Fan, Qingming Zhan, Huimin Liu, et al.
Journal of Cleaner Production (2022) Vol. 378, pp. 134389-134389
Closed Access | Times Cited: 17

A Multivariate Geostatistical Framework to Assess the Spatio-Temporal Dynamics of Air Pollution and Land Surface Temperature in Bangladesh
Sk Nafiz Rahaman, Jake R. Nelson, Al Artat Bin Ali, et al.
Earth Systems and Environment (2024)
Open Access | Times Cited: 3

How is the spatiotemporal representativeness of ground- and satellite-based aerosol optical depth (AOD) measurements over Asia?
Li Chen, Chao Liu, Jiandong Wang, et al.
Atmospheric Research (2024), pp. 107857-107857
Closed Access | Times Cited: 3

Estimating heat storage in urban areas using multispectral satellite data and machine learning
Joshua Hrisko, Prathap Ramamurthy, Jorge E. González
Remote Sensing of Environment (2020) Vol. 252, pp. 112125-112125
Open Access | Times Cited: 27

Gradient boosting machine learning to improve satellite-derived column water vapor measurement error
Allan C. Just, Yang Liu, Meytar Sorek‐Hamer, et al.
Atmospheric measurement techniques (2020) Vol. 13, Iss. 9, pp. 4669-4681
Open Access | Times Cited: 24

Comparison of Different Missing-Imputation Methods for MAIAC (Multiangle Implementation of Atmospheric Correction) AOD in Estimating Daily PM2.5 Levels
Zhaoyue Chen, Jie-Qi Jin, Rong Zhang, et al.
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 3008-3008
Open Access | Times Cited: 24

Hull fouling marine invasive species pose a very low, but plausible, risk of introduction to East Antarctica in climate change scenarios
Oakes Holland, Justine D. Shaw, Jonathan S. Stark, et al.
Diversity and Distributions (2021) Vol. 27, Iss. 6, pp. 973-988
Open Access | Times Cited: 21

Particulate matter variability in Kathmandu based on in-situ measurements, remote sensing, and reanalysis data
Stefan Becker, Ramesh Prasad Sapkota, Binod Pokharel, et al.
Atmospheric Research (2021) Vol. 258, pp. 105623-105623
Open Access | Times Cited: 20

Urban Health Related Air Quality Indicators over the Middle East and North Africa Countries Using Multiple Satellites and AERONET Data
Maram El-Nadry, Wenzhao Li, Hesham El‐Askary, et al.
Remote Sensing (2019) Vol. 11, Iss. 18, pp. 2096-2096
Open Access | Times Cited: 24

Multispectral and RADAR images integration for geologic, geomorphic, and structural investigation in southwestern Arabian Shield, Al Qunfudhah area, Saudi Arabia
Mohamed Abdelkareem, Abdullah O. Bamousa, Zakaria Hamimi, et al.
Journal of Taibah University for Science (2020) Vol. 14, Iss. 1, pp. 383-401
Open Access | Times Cited: 23

A spatiotemporal XGBoost model for PM2.5 concentration prediction and its application in Shanghai
Zidong Wang, Xianhua Wu, You Wu
Heliyon (2023) Vol. 9, Iss. 12, pp. e22569-e22569
Open Access | Times Cited: 7

Fusing daily snow water equivalent from 1980 to 2020 in China using a spatiotemporal XGBoost model
Liyang Sun, Xueliang Zhang, Pengfeng Xiao, et al.
Journal of Hydrology (2024) Vol. 632, pp. 130876-130876
Closed Access | Times Cited: 2

Pixels to pasture: Using machine learning and multispectral remote sensing to predict biomass and nutrient quality in tropical grasslands
M. K. Zwick, Juan Andrés Cardoso, Diana María Gutiérrez-Zapata, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 36, pp. 101282-101282
Open Access | Times Cited: 2

Association of APOL1 Risk Genotype and Air Pollution for Kidney Disease
Ishan Paranjpe, Kumardeep Chaudhary, Manish Paranjpe, et al.
Clinical Journal of the American Society of Nephrology (2020) Vol. 15, Iss. 3, pp. 401-403
Open Access | Times Cited: 20

Estimation and Analysis of PM2.5 Concentrations with NPP-VIIRS Nighttime Light Images: A Case Study in the Chang-Zhu-Tan Urban Agglomeration of China
Mengjie Wang, Yanjun Wang, Fei Teng, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 7, pp. 4306-4306
Open Access | Times Cited: 11

Gaussian Markov Random Fields versus Linear Mixed Models for satellite-based PM2.5 assessment: Evidence from the Northeastern USA
Ron Sarafian, Itai Kloog, Allan C. Just, et al.
Atmospheric Environment (2019) Vol. 205, pp. 30-35
Open Access | Times Cited: 15

Meteorology-driven variability of air pollution (PM1) revealed with explainable machine learning
Roland Stirnberg, Jan Čermák, Simone Kotthaus, et al.
(2020)
Open Access | Times Cited: 13

An Estimation Method for PM2.5 Based on Aerosol Optical Depth Obtained from Remote Sensing Image Processing and Meteorological Factors
J. Gu, Yiwei Wang, Ji Ma, et al.
Remote Sensing (2022) Vol. 14, Iss. 7, pp. 1617-1617
Open Access | Times Cited: 8

基于对流层检测仪和臭氧检测仪的我国近地面NO2浓度的估算对比与优化
周文远 Zhou Wenyuan, 秦凯 Qin Kai, 何秦 He Qin, et al.
Acta Optica Sinica (2024) Vol. 44, Iss. 6, pp. 0601010-0601010
Open Access | Times Cited: 1

A spatio-temporal unmixing with heterogeneity model for the identification of remotely sensed MODIS aerosols: Exemplified by the case of Africa
Longshan Yang, Peng Luo, Zehua Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 104068-104068
Open Access | Times Cited: 1

Extreme Gradient Boosting Model for Rain Retrieval using Radar Reflectivity from Various Elevation Angles
Chih‐Chiang Wei, Chen-Chia Hsu
Remote Sensing (2020) Vol. 12, Iss. 14, pp. 2203-2203
Open Access | Times Cited: 11

PM2.5 Modeling and Historical Reconstruction over the Continental USA Utilizing GOES-16 AOD
Xiaohe Yu, David J. Lary, Christopher S. Simmons
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4788-4788
Open Access | Times Cited: 8

Scroll to top