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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:

A Locally Weighted Neural Network Constrained by Global Training for Remote Sensing Estimation of PM₂.₅
Tongwen Li, Huanfeng Shen, Qiangqiang Yuan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-13
Closed Access | Times Cited: 23

Showing 23 citing articles:

Spatiotemporal estimation of hourly 2-km ground-level ozone over China based on Himawari-8 using a self-adaptive geospatially local model
Yuan Wang, Qiangqiang Yuan, Liye Zhu, et al.
Geoscience Frontiers (2021) Vol. 13, Iss. 1, pp. 101286-101286
Open Access | Times Cited: 48
Full-coverage spatiotemporal mapping of ambient PM2.5 and PM10 over China from Sentinel-5P and assimilated datasets: Considering the precursors and chemical compositions
Yuan Wang, Qiangqiang Yuan, Tongwen Li, et al.
The Science of The Total Environment (2021) Vol. 793, pp. 148535-148535
Open Access | Times Cited: 42
Mechanism-learning coupling paradigms for parameter inversion and simulation in earth surface systems
Huanfeng Shen, Liangpei Zhang
Science China Earth Sciences (2023) Vol. 66, Iss. 3, pp. 568-582
Open Access | Times Cited: 21
Spatio-Temporal Characteristics of PM2.5 Concentrations in China Based on Multiple Sources of Data and LUR-GBM during 2016–2021
Hongbin Dai, Guangqiu Huang, Jingjing Wang, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 10, pp. 6292-6292
Open Access | Times Cited: 20
A similarity distance-based space-time random forest model for estimating PM2.5 concentrations over China
Shikang Guan, Xiaotong Zhang, Wenbo Zhao, et al.
Atmospheric Environment (2023) Vol. 313, pp. 120043-120043
Closed Access | Times Cited: 11
Short-Term PM2.5 Prediction Based on Multi-Modal Meteorological Data for Consumer-Grade Meteorological Electronic Systems
Lina Wang, Xiaochen Jin, Zengyang Huang, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 3464-3474
Closed Access | Times Cited: 4
An interpretable physics-informed deep learning model for estimating multiple air pollutants
Binjie Chen, Jiacong Hu, Yumiao Wang, et al.
GIScience & Remote Sensing (2025) Vol. 62, Iss. 1
Open Access
Tree-based ensemble deep learning model for spatiotemporal surface ozone (O3) prediction and interpretation
Zhou Zang, Yushan Guo, Yize Jiang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 103, pp. 102516-102516
Open Access | Times Cited: 25
The influence of neighborhood-level urban morphology on PM2.5 variation based on random forest regression
Ming Chen, Jincheng Bai, Shengwei Zhu, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 8, pp. 101147-101147
Closed Access | Times Cited: 24
Geo-Intelligent Retrieval Framework Based on Machine Learning in the Cloud Environment: A Case Study of Soil Moisture Retrieval
Zhenghao Li, Qiangqiang Yuan, Liangpei Zhang
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-15
Closed Access | Times Cited: 10
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
PM$$_{2.5}$$ forecasting based on transformer neural network and data embedding
Jordan Limperis, Weitian Tong, Felix G. Hamza-Lup, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 2111-2124
Closed 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
An Accurate and Efficient Forecast Framework for Fine PM2.5 Maps Using Spatiotemporal Recurrent Neural Networks
Ning Liu, Bin Zou, Yi Li, et al.
Journal of Cleaner Production (2024), pp. 143624-143624
Closed Access | Times Cited: 1
An Enhanced Geographically and Temporally Weighted Neural Network for Remote Sensing Estimation of Surface Ozone
Tongwen Li, Jingan Wu, Jiajia Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 6
Crypto Makes AI Evolve
Behrouz Zolfaghari, Hamid Nemati, Naoto Yanai, et al.
(2023), pp. 73-92
Closed Access | Times Cited: 3
An Efficient and Accurate Model Coupled With Spatiotemporal Kalman Filter and Linear Mixed Effect for Hourly PM2.5 Mapping
Ning Liu, Bin Zou, Yi Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-17
Closed Access | Times Cited: 2
Machine Learning-Based Estimation of PM2.5 Concentration Using Ground Surface DoFP Polarimeters
Maen Takruri, Abubakar Abubakar, Abdul-Halim Jallad, et al.
IEEE Access (2022) Vol. 10, pp. 23489-23496
Open Access | Times Cited: 3
地球表层特征参量反演与模拟的机理<bold>-</bold>学习耦合范式
焕锋 沈, 良培 张
SCIENTIA SINICA Terrae (2022)
Open Access | Times Cited: 3
Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol Retrieval
Xing Yan, Zhou Zang, Zhanqing Li, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 32, pp. 14260-14270
Closed Access
An improved geographic pattern based residual neural network model for estimating PM2.5 concentrations
Heng Su, Yumin Chen, Huangyuan Tan, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 134, pp. 104174-104174
Open Access
A Spatial Neighborhood Deep Neural Network Model for PM2.5 Estimation Across China
D. Y. Chen, Hong Guo, Xingfa Gu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-15
Closed Access | Times Cited: 1
Prediction of Fine Particulate Matter Concentration near the Ground in North China from Multivariable Remote Sensing Data Based on MIV-BP Neural Network
Hailing Wu, Ying Zhang, Zhengqiang Li, et al.
Atmosphere (2022) Vol. 13, Iss. 5, pp. 825-825
Open Access | Times Cited: 2
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