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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:

Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5
Tongwen Li, Huanfeng Shen, Qiangqiang Yuan, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 167, pp. 178-188
Open Access | Times Cited: 87

Showing 26-50 of 87 citing articles:

Mapping PM2.5 concentration at high resolution using a cascade random forest based downscaling model: Evaluation and application
Qianqian Yang, Qiangqiang Yuan, Tongwen Li, et al.
Journal of Cleaner Production (2020) Vol. 277, pp. 123887-123887
Closed Access | Times Cited: 38
Spatiotemporal distribution of labeled data can bias the validation and selection of supervised learning algorithms: A marine remote sensing example
Andy Stock
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 187, pp. 46-60
Open Access | Times Cited: 22
A new perspective to satellite-based retrieval of ground-level air pollution: Simultaneous estimation of multiple pollutants based on physics-informed multi-task learning
Qianqian Yang, Qiangqiang Yuan, Meng Gao, et al.
The Science of The Total Environment (2022) Vol. 857, pp. 159542-159542
Closed Access | Times Cited: 21
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: 19
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
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
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
4D-GWR: geographically, altitudinal, and temporally weighted regression
Murat Taşyürek, Mete Çelik
Neural Computing and Applications (2022) Vol. 34, Iss. 17, pp. 14777-14791
Closed Access | Times Cited: 16
A global long-term (1981–2019) daily land surface radiation budget product from AVHRR satellite data using a residual convolutional neural network
Jianglei Xu, Shunlin Liang, Bo Jiang
Earth system science data (2022) Vol. 14, Iss. 5, pp. 2315-2341
Open Access | Times Cited: 16
Full-coverage estimation of PM2.5 in the Beijing-Tianjin-Hebei region by using a two-stage model
Qiaolin Zeng, Yeming Li, Jinhua Tao, et al.
Atmospheric Environment (2023) Vol. 309, pp. 119956-119956
Closed Access | Times Cited: 10
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
Deep learning for spatiotemporal forecasting in Earth system science: a review
Manzhu Yu, Qunying Huang, Zhenlong Li
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 3
Particulate matter (PM2.5 and PM10) generation map using MODIS Level-1 satellite images and deep neural network
Maryam Imani
Journal of Environmental Management (2020) Vol. 281, pp. 111888-111888
Closed Access | Times Cited: 24
Thin Cloud Removal Fusing Full Spectral and Spatial Features for Sentinel-2 Imagery
Li Jun, Yuejie Zhang, Qinghong Sheng, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 8759-8775
Closed Access | Times Cited: 15
Spatiotemporal assessments of nutrients and water quality in coastal areas using remote sensing and a spatiotemporal deep learning model
Sensen Wu, Qi Jin, Zhen Yan, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102897-102897
Open Access | Times Cited: 14
Data augmentation for bias correction in mapping PM2.5 based on satellite retrievals and ground observations
Tan Mi, Dié Tang, Jianbo Fu, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 1, pp. 101686-101686
Open Access | Times Cited: 8
A High-Performance Convolutional Neural Network for Ground-Level Ozone Estimation in Eastern China
Sichen Wang, Yanfeng Huo, Xidong Mu, et al.
Remote Sensing (2022) Vol. 14, Iss. 7, pp. 1640-1640
Open Access | Times Cited: 13
Towards large-scale daily snow density mapping with spatiotemporally aware model and multi-source data
Huadong Wang, Xueliang Zhang, Pengfeng Xiao, et al.
˜The œcryosphere (2023) Vol. 17, Iss. 1, pp. 33-50
Open Access | Times Cited: 7
Exploring high-resolution near-surface CO concentrations based on Himawari-8 top-of-atmosphere radiation data: Assessing the distribution of city-level CO hotspots in China
Бин Чэн, Jiashun Hu, Zhihao Song, et al.
Atmospheric Environment (2023) Vol. 312, pp. 120021-120021
Closed 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 Flexible Geographically Weighted Neural Network for High-Precision PM2.5 Mapping across the Contiguous United States
Dongchao Wang, Jianfei Cao, Baolei Zhang, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 7, pp. 217-217
Open Access | Times Cited: 2
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
Generating Terrain Data for Geomorphological Analysis by Integrating Topographical Features and Conditional Generative Adversarial Networks
Sijin Li, Ke Li, Liyang Xiong, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1166-1166
Open Access | Times Cited: 12
Capturing synoptic-scale variations in surface aerosol pollution using deep learning with meteorological data
Jin Feng, Yanjie Li, Yulu Qiu, et al.
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 1, pp. 375-388
Open Access | Times Cited: 6
Spatio-Temporal Heterogeneous Impacts of the Drivers of NO2 Pollution in Chinese Cities: Based on Satellite Observation Data
Yuanzheng Cui, Hui Zha, Yunxiao Dang, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3487-3487
Open Access | Times Cited: 10

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