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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:

Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability
Zhige Wang, Bifeng Hu, Bo Huang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 187, pp. 141-158
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

How the Air Clean Plan and carbon mitigation measures co-benefited China in PM2.5 reduction and health from 2014 to 2020
Zhige Wang, Bifeng Hu, Ce Zhang, et al.
Environment International (2022) Vol. 169, pp. 107510-107510
Open Access | Times Cited: 47
Simulating daily PM2.5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Chemosphere (2023) Vol. 340, pp. 139886-139886
Closed Access | Times Cited: 39
Estimation of soil inorganic carbon with visible near-infrared spectroscopy coupling of variable selection and deep learning in arid region of China
Zijin Bai, Songchao Chen, Yongsheng Hong, et al.
Geoderma (2023) Vol. 437, pp. 116589-116589
Open Access | Times Cited: 22
A flexible grey Fourier model based on integral matching for forecasting seasonal PM2.5 time series
Xiaolei Wang, Naiming Xie, Lu Yang
Chaos Solitons & Fractals (2022) Vol. 162, pp. 112417-112417
Closed Access | Times Cited: 26
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
A hybrid Harris Hawks Optimization with Support Vector Regression for air quality forecasting
Essam H. Houssein, Mohamed Mroueh, Eman M. G. Younis, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Estimation of soil chromium content using visible and near-infrared spectroscopy coupled with discrete wavelet transform and long short-term memory model
Chengbiao Fu, Shuang Cao, Anhong Tian
Advances in Space Research (2025)
Closed Access
Deep Learning in Airborne Particulate Matter Sensing and Surface Plasmon Resonance for Environmental Monitoring
Balendra V. S. Chauhan, Sneha Verma, B. M. A. Rahman, et al.
Atmosphere (2025) Vol. 16, Iss. 4, pp. 359-359
Open Access
LSTM time series NDVI prediction method incorporating climate elements: A case study of Yellow River Basin, China
Yan Guo, Lifeng Zhang, Yi He, et al.
Journal of Hydrology (2023) Vol. 629, pp. 130518-130518
Closed Access | Times Cited: 11
Full Coverage Estimation of the PM Concentration Across China Based on an Adaptive Spatiotemporal Approach
Cunxing Lei, Xin Xu, Yingying Ma, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-14
Closed Access | Times Cited: 18
Estimating monthly surface ozone using multi-source satellite products in China based on Deep Forest model
Xueyao Chen, Zhige Wang, Yulin Shangguan, et al.
Atmospheric Environment (2023) Vol. 307, pp. 119819-119819
Closed Access | Times Cited: 10
A long short-term memory-based hybrid model optimized using a genetic algorithm for particulate matter 2.5 prediction
Anıl Utku, Ümit Can, Mustafa Kamal, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 8, pp. 101836-101836
Closed 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
An Improved Deep Learning Approach Considering Spatiotemporal Heterogeneity for PM2.5 Prediction: A Case Study of Xinjiang, China
Yajing Wu, Zhangyan Xu, Liping Xu, et al.
Atmosphere (2024) Vol. 15, Iss. 4, pp. 460-460
Open Access | Times Cited: 3
Hazard Susceptibility Mapping with Machine and Deep Learning: A Literature Review
Angelly de Jesus Pugliese Viloria, A. Folini, Daniela Carrión, et al.
Remote Sensing (2024) Vol. 16, Iss. 18, pp. 3374-3374
Open Access | Times Cited: 3
A hybrid physical data informed DNN in axial displacement prediction of immersed tunnel joint
Wei Qi Yan, Yan Yu, Ping Shen, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2023) Vol. 17, Iss. 1, pp. 169-180
Closed Access | Times Cited: 7
Retrieving ground-level PM2.5 concentrations in China (2013–2021) with a numerical-model-informed testbed to mitigate sample-imbalance-induced biases
Siwei Li, Yu Ding, Jia Xing, et al.
Earth system science data (2024) Vol. 16, Iss. 8, pp. 3781-3793
Open Access | Times Cited: 2
Forecasting of PM2.5 Concentration in Beijing Using Hybrid Deep Learning Framework Based on Attention Mechanism
Dong Li, Jiping Liu, Yangyang Zhao
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 11155-11155
Open Access | Times Cited: 12
PM2.5 concentration assessment based on geographical and temporal weighted regression model and MCD19A2 from 2015 to 2020 in Xinjiang, China
Weilin Quan, Nan Xia, Yitu Guo, et al.
PLoS ONE (2023) Vol. 18, Iss. 5, pp. e0285610-e0285610
Open Access | Times Cited: 6
Estimating Regional PM2.5 Concentrations in China Using a Global-Local Regression Model Considering Global Spatial Autocorrelation and Local Spatial Heterogeneity
Heng Su, Yumin Chen, Huangyuan Tan, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4545-4545
Open Access | Times Cited: 10
Effects of feature selection methods in estimating SO2 concentration variations using machine learning and stacking ensemble approach
Pei-Yi Wong, Yu-Ting Zeng, Huey‐Jen Su, et al.
Environmental Technology & Innovation (2024) Vol. 37, pp. 103996-103996
Open Access | Times Cited: 1
Spatio-temporal association mining of intercity PM2.5 pollution: Hubei Province in China as an example
Jiangping Chen, Xiaofeng Song, Lin Zang, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 3, pp. 7256-7269
Closed Access | Times Cited: 6
Improved Himawari-8 10-minute scale aerosol optical depth product using deep neural network over Japan
Yunhui Tan, Quan Wang, Zhaoyang Zhang
Atmospheric Pollution Research (2023) Vol. 15, Iss. 3, pp. 102005-102005
Closed Access | Times Cited: 3
Comment on essd-2024-170
Siwei Li, Yu Ding, Jia Xing, et al.
(2024)
Open Access
Tracking hourly PM2.5 using geostationary satellite sensor images and multiscale spatiotemporal deep learning
Zhige Wang, Ce Zhang, Su Ye, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 134, pp. 104145-104145
Open Access
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