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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 urban PM2.5 concentration: An analysis on the nonlinear effects of explanatory variables based on gradient boosted regression tree
Xiatong Hao, Xiaojian Hu, Tong Liu, et al.
Urban Climate (2022) Vol. 44, pp. 101172-101172
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Prediction of Ecofriendly Concrete Compressive Strength Using Gradient Boosting Regression Tree Combined with GridSearchCV Hyperparameter-Optimization Techniques
Zaineb M. Alhakeem, Yasir Mohammed Jebur, Sadiq N. Henedy, et al.
Materials (2022) Vol. 15, Iss. 21, pp. 7432-7432
Open Access | Times Cited: 99
Enhancing understanding of asphalt mixture dynamic modulus prediction through interpretable machine learning method
Ke Zhang, Zhaohui Min, Xiatong Hao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103111-103111
Closed Access | Times Cited: 3
Simulation and prediction of PM2.5 concentrations and analysis of driving factors using interpretable tree-based models in Shanghai, China
Wei Qing, Yongqi Chen, Huijin Zhang, et al.
Environmental Research (2025), pp. 121003-121003
Closed Access | Times Cited: 2
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: 63
Modeling the impacts of 2D/3D urban structure on PM2.5 at high resolution by combining UAV multispectral/LiDAR measurements and multi-source remote sensing images
Rongfang Lyu, Jinming Zhang, Jili Pang, et al.
Journal of Cleaner Production (2024) Vol. 437, pp. 140613-140613
Closed Access | Times Cited: 9
Viscosity and melting temperature prediction of mold fluxes based on explainable machine learning and SHapley additive exPlanations
Wei Yan, Yangyang Shen, Shoujie Chen, et al.
Journal of Non-Crystalline Solids (2024) Vol. 636, pp. 123037-123037
Closed Access | Times Cited: 7
How can urban administrative boundary expansion affect air pollution? Mechanism analysis and empirical test
Mingdong Jiang, Wenwen Chen, Xinxin Yu, et al.
Journal of Environmental Management (2022) Vol. 322, pp. 116075-116075
Closed Access | Times Cited: 23
A machine learning based approach with an augmented dataset for fatigue life prediction of additively manufactured Ti-6Al-4V samples
Jan Horňas, Jiří Běhal, Petr Homola, et al.
Engineering Fracture Mechanics (2023) Vol. 293, pp. 109709-109709
Open Access | Times Cited: 15
Passive control of, energy storage of NePCM, heat and mass transfer with gamma-shaped baffle in a thermo-bioconvection system using CFD and artificial intelligence
Shafqat Hussain, Fatih Ertam, Mohamed Bechir Ben Hamida, et al.
International Communications in Heat and Mass Transfer (2023) Vol. 144, pp. 106764-106764
Closed Access | Times Cited: 14
Can ecological compensation reduce air pollution? New evidence from resource-based cities in China
Shimei Weng, Weiliang Tao, Lianbiao Cui
Energy Sources Part B Economics Planning and Policy (2024) Vol. 19, Iss. 1
Closed Access | Times Cited: 6
Investigation of Corrosion Inhibition Capability of Pyridazine Compounds via Ensemble Learning
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono
Journal of Materials Engineering and Performance (2024)
Closed Access | Times Cited: 6
High-resolution Spatiotemporal Prediction of PM2.5 Concentration based on Mobile Monitoring and Deep Learning
Yizhou Wang, Hong-di He, Haichao Huang, et al.
Environmental Pollution (2024), pp. 125342-125342
Closed Access | Times Cited: 5
A long-term prediction method for PM2.5 concentration based on spatiotemporal graph attention recurrent neural network and grey wolf optimization algorithm
Chen Zhang, Shengzhao Wang, Yue Wu, et al.
Journal of environmental chemical engineering (2023) Vol. 12, Iss. 1, pp. 111716-111716
Closed Access | Times Cited: 11
Influencing factors of PM2.5 concentration in the typical urban agglomerations in China based on wavelet perspective
Shuqi Wu, Jiaqi Yao, Yongcai Wang, et al.
Environmental Research (2023) Vol. 237, pp. 116641-116641
Closed Access | Times Cited: 10
Nonlinearity in the relationships between urban form and residential energy use intensity
Steven Jige Quan, Yang Xue, Chaosu Li
Applied Energy (2025) Vol. 383, pp. 125344-125344
Closed Access
Advancements in machine learning for spatiotemporal urban on-road traffic-air quality study: a review
Zhanxia Du, Hanbing Li, Sha Chen, et al.
Atmospheric Environment (2025), pp. 121054-121054
Closed Access
Effects of bus station density on urban air pollution: An empirical analysis based on propensity score matching
Xiatong Hao, Xiaojian Hu, Ke Zhang, et al.
Urban Climate (2025) Vol. 59, pp. 102313-102313
Closed Access
A DCV performance in IAQ services during COVID-19: a study of the contractor in Malaysia
Zul-Atfi Ismail
Data Technologies and Applications (2025)
Closed Access
PM2.5 probabilistic forecasting system based on graph generative network with graph U-nets architecture
Yanfei Li, Rui Yang, Zhu Duan, et al.
Journal of Central South University (2025) Vol. 32, Iss. 1, pp. 304-318
Closed Access
Mining the driving factors of the urban thermal environment by building semantic information at block level—A case study of Shenyang
Zhiwei Xie, Yifan Wu, Fengyuan Zhang, et al.
Urban Climate (2025) Vol. 61, pp. 102404-102404
Closed Access
Are deprived communities exposed to higher PM2.5 concentrations? Evidence from Cangzhou, China
Lewen Wang, Like Jiang, Zhiqiang Zhai, et al.
Transportation Research Part D Transport and Environment (2025) Vol. 143, pp. 104762-104762
Closed Access
Long-Term Prediction of PM2.5 Concentration Based on CNN-XLSTM and Spatial Attention Mechanism
棋 刘
Software Engineering and Applications (2025) Vol. 14, Iss. 02, pp. 371-381
Closed Access
Forecasting PM2.5 Concentration Using Gradient-Boosted Regression Tree with CNN Learning Model
A. Usha Ruby, J. George Chellin Chandran, Prasannavenkatesan Theerthagiri, et al.
Optical Memory and Neural Networks (2024) Vol. 33, Iss. 1, pp. 86-96
Closed Access | Times Cited: 3
Can environmental information disclosure reduce air pollution? Evidence from China
Lei Xiong, Hongyu Long, Xiang Zhang, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 7
Machine learning models for predicting the axial compression capacity of cold‑formed steel elliptical hollow section columns
Trong-Ha Nguyen, Duc-Xuan Nguyen, Thanh-Tung Thi Nguyen, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 1935-1947
Closed Access | Times Cited: 4
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