Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 monthly PM2.5 concentrations from satellite remote sensing data, meteorological variables, and land use data using ensemble statistical modeling and a random forest approach
Chu‐Chih Chen, Yin-Ru Wang, Hung-Yi Yeh, et al.
Environmental Pollution (2021) Vol. 291, pp. 118159-118159
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework
Fei Li, Tan Yiğitcanlar, Madhav Prasad Nepal, et al.
Sustainable Cities and Society (2023) Vol. 96, pp. 104653-104653
Open Access | Times Cited: 92
Influence and prediction of PM2.5 through multiple environmental variables in China
Haoyu Jin, Xiaohong Chen, Ruida Zhong, et al.
The Science of The Total Environment (2022) Vol. 849, pp. 157910-157910
Closed Access | Times Cited: 60
Synergistic observation of FY-4A&4B to estimate CO concentration in China: combining interpretable machine learning to reveal the influencing mechanisms of CO variations
Bin Chen, Jiashun Hu, Yixuan Wang
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 10
Estimation of PM2.5 Concentration across China Based on Multi-Source Remote Sensing Data and Machine Learning Methods
Yujie Yang, Zhige Wang, Chunxiang Cao, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 467-467
Open Access | Times Cited: 10
Pollutant specific optimal deep learning and statistical model building for air quality forecasting
Asif Iqbal Middya, Sarbani Roy
Environmental Pollution (2022) Vol. 301, pp. 118972-118972
Closed Access | Times Cited: 34
Investigate the effects of urban land use on PM2.5 concentration: An application of deep learning simulation
Liyuan Zhao, Ming Zhang, Si Cheng, et al.
Building and Environment (2023) Vol. 242, pp. 110521-110521
Closed Access | Times Cited: 18
Spatio-temporal changes in subsurface soil salinity based on electromagnetic induction and environmental covariates at the Tarim River Basin, southern Xinjiang, China
Fei Wang, Wei Yang, Shengtian Yang
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110108-110108
Closed Access
Estimating and Characterizing Spatiotemporal Distributions of Elemental PM2.5 Using an Ensemble Machine Learning Approach in Taiwan
Chun‐Sheng Huang, Kang Lo, Yee-Lin Wu, et al.
Atmospheric Pollution Research (2025), pp. 102463-102463
Closed Access
Time-Series Data-Driven PM2.5 Forecasting: From Theoretical Framework to Empirical Analysis
Chengqian Wu, Ruiyang Wang, Siyu Lu, et al.
Atmosphere (2025) Vol. 16, Iss. 3, pp. 292-292
Open Access
A framework for scalable ambient air pollution concentration estimation
Liam J Berrisford, Lucy Neal, Helen J. Buttery, et al.
Environmental Data Science (2025) Vol. 4
Open Access
Decoding PM2.5 Prediction in Nanning Urban Area, China: Unraveling Model Superiorities and Drawbacks Through SARIMA, Prophet, and LightGBM
Minru Chen, Binglin Liu, Mei Liang, et al.
Algorithms (2025) Vol. 18, Iss. 3, pp. 167-167
Open Access
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
Study on spatiotemporal characteristics and influencing factors of pedestrian-level PM2.5 concentrations in outdoor open spaces of Harbin in winter, using a generalized additive model (GAM)
Dongliang Han, Tiantian Zhang, Xuedan Zhang, et al.
Urban Climate (2022) Vol. 46, pp. 101313-101313
Closed Access | Times Cited: 19
The impact of different aerosol layering conditions on the high-resolution MODIS/MAIAC AOD retrieval bias: The uncertainty analysis
Irina Rogozovsky, Kevin Ohneiser, Alexei Lyapustin, et al.
Atmospheric Environment (2023) Vol. 309, pp. 119930-119930
Open Access | Times Cited: 12
Identifying spatiotemporal trends of SARS-CoV-2 RNA in wastewater: from the perspective of upstream and downstream wastewater-based epidemiology (WBE)
Duyen Phuc-Hanh Tran, Bo-Cheng You, Chen‐Wuing Liu, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 8, pp. 11576-11590
Open Access | Times Cited: 4
Burden of cardiovascular disease attributable to long-term exposure to ambient PM2.5 concentration and the cost–benefit analysis for the optimal control level
Chu‐Chih Chen, Yin-Ru Wang, Jhi-Shin Liu, et al.
The Science of The Total Environment (2023) Vol. 892, pp. 164767-164767
Closed Access | Times Cited: 9
Simulation of the Spatiotemporal Distribution of PM2.5 Concentration Based on GTWR-XGBoost Two-Stage Model: A Case Study of Chengdu Chongqing Economic Circle
Minghao Liu, Xiaolin Luo, Liai Qi, et al.
Atmosphere (2023) Vol. 14, Iss. 1, pp. 115-115
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
Simulating the Land Use and Carbon Storage for Nature-Based Solutions (NbS) under Multi-Scenarios in the Three Gorges Reservoir Area: Integration of Remote Sensing Data and the RF–Markov–CA–InVEST Model
Guiyuan Li, Guo Cheng, Guohua Liu, et al.
Remote Sensing (2023) Vol. 15, Iss. 21, pp. 5100-5100
Open Access | Times Cited: 7
Involvement of autophagy and gut dysbiosis in ambient particulate matter-induced colonic inflammation
Hsien‐Jen Cheng, Wei‐Lun Hsu, Pinpin Lin, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 286, pp. 117171-117171
Open Access | Times Cited: 2
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
MGC-LSTM: a deep learning model based on graph convolution of multiple graphs for PM2.5 prediction
Xia Liu, Weide Li
International Journal of Environmental Science and Technology (2022) Vol. 20, Iss. 9, pp. 10297-10312
Closed Access | Times Cited: 9
Estimation of PM2.5 concentrations with high spatiotemporal resolution in Beijing using the ERA5 dataset and machine learning models
Zhihao Wang, Peng Chen, Rong Wang, et al.
Advances in Space Research (2022) Vol. 71, Iss. 8, pp. 3150-3165
Closed Access | Times Cited: 8
Estimation of Daily Ground Level Air Pollution in Italian Municipalities with Machine Learning Models Using Sentinel-5P and ERA5 Data
Alessandro Fania, A. Monaco, Ester Pantaleo, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1206-1206
Open Access | Times Cited: 1
Associations between long-term ambient PM2.5 exposure and the incidence of cardiopulmonary diseases and diabetes, attributable years lived with disability, and policy implication
Chu‐Chih Chen, Yin-Ru Wang, Jih-Shin Liu, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 282, pp. 116688-116688
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top