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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:

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

Showing 1-25 of 28 citing articles:

Application of wavelet-packet transform driven deep learning method in PM2.5 concentration prediction: A case study of Qingdao, China
Qinghe Zheng, Xinyu Tian, Zhiguo Yu, et al.
Sustainable Cities and Society (2023) Vol. 92, pp. 104486-104486
Open Access | Times Cited: 59
A Novel Recursive Model Based on a Convolutional Long Short-Term Memory Neural Network for Air Pollution Prediction
Weilin Wang, Wenjing Mao, Xueli Tong, et al.
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1284-1284
Open Access | Times Cited: 42
A machine learning-based framework for high resolution mapping of PM2.5 in Tehran, Iran, using MAIAC AOD data
Hossein Bagheri
Advances in Space Research (2022) Vol. 69, Iss. 9, pp. 3333-3349
Open Access | Times Cited: 34
Retrieval of hourly PM2.5 using top-of-atmosphere reflectance from geostationary ocean color imagers I and II
Hyunyoung Choi, Seonyoung Park, Yoojin Kang, et al.
Environmental Pollution (2023) Vol. 323, pp. 121169-121169
Closed Access | Times Cited: 13
Investigating the relationship between air temperature and the intensity of urban development using on-site measurement, satellite imagery and machine learning
Tsz-Kin Lau, Tzu‐Ping Lin
Sustainable Cities and Society (2023) Vol. 100, pp. 104982-104982
Closed Access | Times Cited: 11
A Study on Forecasting the Default Risk of Bond Based on XGboost Algorithm and Over-Sampling Method
Yan Zhang, Lin Chen
Theoretical Economics Letters (2021) Vol. 11, Iss. 02, pp. 258-267
Open Access | Times Cited: 25
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
Atmospheric PM2.5 Prediction Model Based on Principal Component Analysis and SSA–SVM
He Gong, Jie Guo, Ye Mu, et al.
Sustainability (2024) Vol. 16, Iss. 2, pp. 832-832
Open Access | Times Cited: 3
How do greenspace landscapes affect PM2.5 exposure in Wuhan? Linking spatial-nonstationary, annual varying, and multiscale perspectives
Qingming Zhan, Chen Yang, Huimin Liu
Geo-spatial Information Science (2022) Vol. 27, Iss. 1, pp. 95-110
Open Access | Times Cited: 15
PM2.5 extended-range forecast based on MJO and S2S using LightGBM
Zhongqi Yu, Jinghui Ma, Yuanhao Qu, et al.
The Science of The Total Environment (2023) Vol. 880, pp. 163358-163358
Closed Access | Times Cited: 8
Mountain Snow Depth Retrieval From Optical and Passive Microwave Remote Sensing Using Machine Learning
Chuan Xiong, Jingran Yang, Jinmei Pan, et al.
IEEE Geoscience and Remote Sensing Letters (2022) Vol. 19, pp. 1-5
Closed Access | Times Cited: 13
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
Deriving PM2.5 from satellite observations with spatiotemporally weighted tree-based algorithms: enhancing modeling accuracy and interpretability
Tongwen Li, Yuan Wang, Jingan Wu
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
A novel prediction framework for estimating high spatial resolution near-ground PM2.5 and O3 concentrations at street-level in urban areas
Jiangying Xu, Mengyang Liu, Yanpeng Chao, et al.
Building and Environment (2024) Vol. 267, pp. 112141-112141
Closed Access | Times Cited: 2
Synergistic data fusion of satellite observations and in-situ measurements for hourly PM2.5 estimation based on hierarchical geospatial long short-term memory
Xinyu Yu, Man Sing Wong, Chun‐Ho Liu, et al.
Atmospheric Environment (2022) Vol. 286, pp. 119257-119257
Closed Access | Times Cited: 11
Application of Machine-Learning-Based Fusion Model in Visibility Forecast: A Case Study of Shanghai, China
Zhongqi Yu, Yuanhao Qu, Yunxin Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 11, pp. 2096-2096
Open Access | Times Cited: 15
Exploring the detailed spatiotemporal characteristics of PM2.5: Generating a full-coverage and hourly PM2.5 dataset in the Sichuan Basin, China
Siwei Zhai, Yi Zhang, Jingfei Huang, et al.
Chemosphere (2022) Vol. 310, pp. 136786-136786
Open Access | Times Cited: 10
Joint estimation of PM2.5 and O3 concentrations using a hybrid model in Beijing-Tianjin-Hebei, China
Decai Gong, Ning Du, Wang Li, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 8, pp. 102174-102174
Closed Access | Times Cited: 1
Investigating the effect of spatial patterns of artificial impervious surface on PM 2.5 at the intra-urban scale
Zhiyu Fan, Qingming Zhan, Yun Wang, et al.
Geo-spatial Information Science (2024), pp. 1-20
Open Access | Times Cited: 1
Prediction of PM2.5 Concentration on the Basis of Multitemporal Spatial Scale Fusion
Sihan Li, Yu Sun, Pengying Wang
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7152-7152
Open Access | Times Cited: 1
Spatio-Temporal Modeling of Asthma-Prone Areas: Exploring the Influence of Urban Climate Factors with Explainable Artificial Intelligence (XAI)
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Farman Ali, et al.
Sustainable Cities and Society (2024) Vol. 116, pp. 105889-105889
Closed Access | Times Cited: 1
Impact of COVID-19 restrictions liberalization on air quality: a case study of Chongqing, Southwest China
Haozheng Wang, Liuyi Zhang, Yuanjun Chen, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 11
Closed Access | Times Cited: 1
A Multiscale Land Use Regression Approach for Estimating Intraurban Spatial Variability of PM2.5 Concentration by Integrating Multisource Datasets
Yuan Shi, Alexis K.H. Lau, Edward Ng, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 19, Iss. 1, pp. 321-321
Open Access | Times Cited: 9
Hourly PM2.5 Concentration Monitoring With Spatiotemporal Continuity by the Fusion of Satellite and Station Observations
Jingan Wu, Tongwen Li, Chengyue Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 8019-8032
Open Access | Times Cited: 8
The Impact of COVID-19 Lockdown on Ambient Air Quality in Shanghai, 2022
Qi Zhang, Qian Zhang, Hui Liu, et al.
Atmosphere (2023) Vol. 14, Iss. 5, pp. 898-898
Open Access | Times Cited: 2
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