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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 CatBoost approach with wavelet decomposition to improve satellite-derived high-resolution PM2.5 estimates in Beijing-Tianjin-Hebei
Yu Ding, Zuoqi Chen, Wenfang Lu, et al.
Atmospheric Environment (2021) Vol. 249, pp. 118212-118212
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Modeling industrial hydrocyclone operational variables by SHAP-CatBoost - A “conscious lab” approach
Saeed Chehreh Chelgani, Hamid Nasiri, A. Tohry, et al.
Powder Technology (2023) Vol. 420, pp. 118416-118416
Open Access | Times Cited: 44
A Review of Modern Machine Learning Techniques in the Prediction of Remaining Useful Life of Lithium-Ion Batteries
Prabhakar Sharma, Bhaskor Jyoti Bora
Batteries (2022) Vol. 9, Iss. 1, pp. 13-13
Open Access | Times Cited: 68
72-hour real-time forecasting of ambient PM2.5 by hybrid graph deep neural network with aggregated neighborhood spatiotemporal information
Mengfan Teng, Siwei Li, Jia Xing, et al.
Environment International (2023) Vol. 176, pp. 107971-107971
Open Access | Times Cited: 22
Spatiotemporal wave forecast with transformer-based network: A case study for the northwestern Pacific Ocean
Yong Liu, Wenfang Lu, Dong Wang, et al.
Ocean Modelling (2024) Vol. 188, pp. 102323-102323
Closed Access | Times Cited: 9
Long-term multi-step ahead forecasting of root zone soil moisture in different climates: Novel ensemble-based complementary data-intelligent paradigms
Mehdi Jamei, Masoud Karbasi, Anurag Malik, et al.
Agricultural Water Management (2022) Vol. 269, pp. 107679-107679
Closed Access | Times Cited: 28
Reconstructing annual XCO2 at a 1 km×1 km spatial resolution across China from 2012 to 2019 based on a spatial CatBoost method
Chao Wu, Yuechuang Ju, Shuo Yang, et al.
Environmental Research (2023) Vol. 236, pp. 116866-116866
Closed Access | Times Cited: 17
A full-coverage estimation of PM2.5 concentrations using a hybrid XGBoost-WD model and WRF-simulated meteorological fields in the Yangtze River Delta Urban Agglomeration, China
Jiajia Wang, Li He, Xiaoman Lu, et al.
Environmental Research (2021) Vol. 203, pp. 111799-111799
Closed Access | Times Cited: 36
Can three-dimensional nitrate structure be reconstructed from surface information with artificial intelligence? — A proof-of-concept study
Guangyu Gary Yang, Qishuo Wang, Jiacheng Feng, et al.
The Science of The Total Environment (2024) Vol. 924, pp. 171365-171365
Closed Access | Times Cited: 5
Harmonizing Landsat-8 OLI and Sentinel-2 MSI: an assessment of surface reflectance and vegetation index consistency
Jiaqi Zhang, Xiaocheng Zhou, Xueping Liu, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access
Spatiotemporal characteristics of air pollution in Chengdu-Chongqing urban agglomeration (CCUA) in Southwest, China: 2015–2021
Shaojun Tan, Deti Xie, Chengsheng Ni, et al.
Journal of Environmental Management (2022) Vol. 325, pp. 116503-116503
Closed Access | Times Cited: 21
Rapid nondestructive detection of peanut varieties and peanut mildew based on hyperspectral imaging and stacked machine learning models
Qingsong Wu, Lijia Xu, Zhiyong Zou, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 20
Spatiotemporal Distributions of PM2.5 Concentrations in the Beijing–Tianjin–Hebei Region From 2013 to 2020
Xiaohui Yang, Dengpan Xiao, Huizi Bai, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 19
Data reconstruction of daily MODIS chlorophyll-a concentration and spatio-temporal variations in the Northwestern Pacific
Mingming Xing, Fengmei Yao, Jiahua Zhang, et al.
The Science of The Total Environment (2022) Vol. 843, pp. 156981-156981
Closed Access | Times Cited: 18
Combination of gas chromatography-mass spectrometry and hyperspectral imaging for identification of adulterated Safflower seed oil
Zhiyong Zou, Qianlong Wang, Menghua Li, et al.
Journal of Food Composition and Analysis (2024) Vol. 135, pp. 106593-106593
Closed Access | Times Cited: 3
Combining Google traffic map with deep learning model to predict street-level traffic-related air pollutants in a complex urban environment
Peng Wei, Hao Song, Yuan Shi, et al.
Environment International (2024) Vol. 191, pp. 108992-108992
Open Access | Times Cited: 3
High-precision estimation of hourly PM2.5 concentration based on a grid scale of satellite-derived products
Miao Zhang, Lingyun Yuan
Atmospheric Pollution Research (2023) Vol. 14, Iss. 4, pp. 101724-101724
Closed Access | Times Cited: 7
Universal Model for Predicting Maximum Spreading of Drop Impact on a Smooth Surface Developed Using Boosting Machine Learning Models
Jiguo Tang, Shengzhi Yu, Xiaofan Hou, et al.
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 37, pp. 15268-15277
Closed Access | Times Cited: 7
Estimation of Regional Ground-Level PM2.5 Concentrations Directly from Satellite Top-of-Atmosphere Reflectance Using A Hybrid Learning Model
Yu Feng, Shurui Fan, Kewen Xia, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2714-2714
Open Access | Times Cited: 12
Estimation of high-resolution PM2.5 concentrations based on gap-filling aerosol optical depth using gradient boosting model
Min Han, Shuqin Jia, Chengkun Zhang
Air Quality Atmosphere & Health (2022) Vol. 15, Iss. 4, pp. 619-631
Closed Access | Times Cited: 10
Prediction and cause investigation of ozone based on a double-stage attention mechanism recurrent neural network
Yuanxin Zhang, Fei Li, Chaoqiong Ni, et al.
Frontiers of Environmental Science & Engineering (2022) Vol. 17, Iss. 2
Closed Access | Times Cited: 10
Long-term hourly air quality data bridging of neighboring sites using automated machine learning: A case study in the Greater Bay area of China
Boxi Wu, Cheng Wu, Yuchen Ye, et al.
Atmospheric Environment (2024) Vol. 321, pp. 120347-120347
Closed Access | Times Cited: 1
Joint estimation of PM2.5 and O3 concentrations using a hybrid model in Beijing-Tianjin-Hebei, China
Decai Gong, Ning Du, Wang Li, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 8, pp. 102174-102174
Closed Access | Times Cited: 1
Temporal heterogeneity in the performance of machine learning models for PM2.5 concentration estimation
Peizheng Li, Shiqi Huang, Chenxi Luo, et al.
Process Safety and Environmental Protection (2024) Vol. 189, pp. 977-984
Open Access | Times Cited: 1
Spatiotemporally Continuous Reconstruction of Retrieved PM2.5 Data Using an Autogeoi-Stacking Model in the Beijing-Tianjin-Hebei Region, China
W. P. Chu, Chunxiao Zhang, Yuwei Zhao, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4432-4432
Open Access | Times Cited: 7
Rapid identification of adulterated safflower seed oil by use of hyperspectral spectroscopy
Zhiyong Zou, Long Tao, Jie Chen, et al.
Spectroscopy Letters (2021) Vol. 54, Iss. 9, pp. 675-684
Closed Access | Times Cited: 8
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