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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 concentration of the conterminous United States via interpretable convolutional neural networks
Yongbee Park, Byungjoon Kwon, Juyeon Heo, et al.
Environmental Pollution (2019) Vol. 256, pp. 113395-113395
Closed Access | Times Cited: 118

Showing 51-75 of 118 citing articles:

A Development of PM2.5 Forecasting System in South Korea Using Chemical Transport Modeling and Machine Learning
Youn-Seo Koo, Hee-Yong Kwon, Hyosik Bae, et al.
Asia-Pacific Journal of Atmospheric Sciences (2023) Vol. 59, Iss. 5, pp. 577-595
Closed Access | Times Cited: 7
Air pollutant diffusion trend prediction based on deep learning for targeted season—North China as an example
Bo Zhang, Zhihao Wang, Yunjie Lu, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120718-120718
Closed Access | Times Cited: 7
Geo-STO3Net: A Deep Neural Network Integrating Geographical Spatiotemporal Information for Surface Ozone Estimation
Binjie Chen, Qiming Zheng, Weiwei Sun, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-14
Closed Access | Times Cited: 2
Analysis of Primary Air Pollutants’ Spatiotemporal Distributions Based on Satellite Imagery and Machine-Learning Techniques
Yanyu Li, Meng Zhang, Guodong Ma, et al.
Atmosphere (2024) Vol. 15, Iss. 3, pp. 287-287
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
Hybrid deep learning models for mapping surface NO2 across China: One complicated model, many simple models, or many complicated models?
Xinyi Liu, Chunyuan Li, Dongren Liu, et al.
Atmospheric Research (2022) Vol. 278, pp. 106339-106339
Closed Access | Times Cited: 11
Daily 1 km terrain resolving maps of surface fine particulate matter for the western United States 2003–2021
Alan Swanson, Zachary A. Holden, Jon Graham, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 11
Interpretable deep learning‐based hippocampal sclerosis classification
Dohyun Kim, Jung‐Tae Lee, Jangsup Moon, et al.
Epilepsia Open (2022) Vol. 7, Iss. 4, pp. 747-757
Open Access | Times Cited: 11
Modeling and Prediction of NPP-VIIRS Nighttime Light Imagery Based on Spatiotemporal Statistical Method
Yang Ye, Jinsong Deng, Lingyan Huang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 6, pp. 4934-4946
Closed Access | Times Cited: 17
Accurate Multi-Site Daily-Ahead Multi-Step PM2.5 Concentrations Forecasting Using Space-Shared CNN-LSTM
Xiaorui Shao, Chang Soo Kim
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 70, Iss. 3, pp. 5143-5160
Open Access | Times Cited: 15
Multifeature superposition analysis of the effects of microplastics on microbial communities in realistic environments
Jing Zhang, Fubo Yu, Xiangang Hu, et al.
Environment International (2022) Vol. 162, pp. 107172-107172
Open Access | Times Cited: 10
Estimating High-Resolution PM2.5 Concentrations by Fusing Satellite AOD and Smartphone Photographs Using a Convolutional Neural Network and Ensemble Learning
Fei Wang, Shiqi Yao, Haowen Luo, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1515-1515
Open Access | Times Cited: 10
Influence of Spatial Resolution on Satellite-Based PM2.5 Estimation: Implications for Health Assessment
Heming Bai, Yuli Shi, Myeongsu Seong, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2933-2933
Open Access | Times Cited: 9
Estimating daily air temperature and pollution in Catalonia: A comprehensive spatiotemporal modelling of multiple exposures
Carles Milà, Joan Ballester, Xavier Basagaña, et al.
Environmental Pollution (2023) Vol. 337, pp. 122501-122501
Open Access | Times Cited: 5
National ground-level NO2 predictions via satellite imagery driven convolutional neural networks
Elton L. Cao
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 4
Modelling the Daily Concentration of Airborne Particles Using 1D Convolutional Neural Networks
Ivan Gudelj, Mario Lovrić, Emmanuel Karlo Nyarko
(2024), pp. 16-16
Open Access | Times Cited: 1
High spatiotemporal resolution estimation and analysis of global surface CO concentrations using a deep learning model
Mingyun Hu, Xingcheng Lu, Yiang Chen, et al.
Journal of Environmental Management (2024) Vol. 371, pp. 123096-123096
Closed Access | Times Cited: 1
Joint features random forest (JFRF) model for mapping hourly surface PM2.5 over China
Lechao Dong, Siwei Li, Jia Xing, et al.
Atmospheric Environment (2022) Vol. 273, pp. 118969-118969
Open Access | Times Cited: 7
Regional VOCs Gathering Situation Intelligent Sensing Method Based on Spatial-Temporal Feature Selection
Hongbin Dai, Guangqiu Huang, Jingjing Wang, et al.
Atmosphere (2022) Vol. 13, Iss. 3, pp. 483-483
Open Access | Times Cited: 7
Evaluation of MODIS Aerosol Optical Depth and Surface Data Using an Ensemble Modeling Approach to Assess PM2.5 Temporal and Spatial Distributions
Johana M. Carmona, Pawan Gupta, Diego F. Lozano-García, et al.
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3102-3102
Open Access | Times Cited: 9
Deep learning for photovoltaic panels segmentation
Khadija Bouzaachane, Aziz Darouichi, E. El Guarmah
Mathematical Modeling and Computing (2023) Vol. 10, Iss. 3, pp. 638-650
Open Access | Times Cited: 3
Spatial representativeness of PM2.5 monitoring stations and its implication for health assessment
Heming Bai, Rusha Yan, Wenkang Gao, et al.
Air Quality Atmosphere & Health (2022) Vol. 15, Iss. 9, pp. 1571-1581
Closed Access | Times Cited: 5
Nowcasting Applications of Geostationary Satellite Hourly Surface PM2.5 Data
Hai Zhang, Zigang Wei, Barron H. Henderson, et al.
Weather and Forecasting (2022) Vol. 37, Iss. 12, pp. 2313-2329
Open Access | Times Cited: 5
HAVA KALİTESİ PARAMETRELERİNİN TAHMİNİ VE MEKANSAL DAĞILIMI İÇİN MAKİNE ÖĞRENMESİ YÖNTEMLERİNİN KULLANILMASI
Yeşim DOKUZ, Aslı Bozdağ, Begüm GÖKÇEK
Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi (2020)
Open Access | Times Cited: 7
Changes and Predictions of Vertical Distributions of Global Light-Absorbing Aerosols Based on CALIPSO Observation
Zigeng Song, Xianqiang He, Yan Bai, et al.
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 3014-3014
Open Access | Times Cited: 7

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