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:

Clarifying Relationship between PM2.5 Concentrations and Spatiotemporal Predictors Using Multi-Way Partial Dependence Plots
Haoze Shi, Naisen Yang, Xin Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 358-358
Open Access | Times Cited: 25

Showing 25 citing articles:

Estimating the compressive and tensile strength of basalt fibre reinforced concrete using advanced hybrid machine learning models
Irfan Ullah, Muhammad Faisal Javed, Hisham Alabduljabbar, et al.
Structures (2025) Vol. 71, pp. 108138-108138
Closed Access | Times Cited: 1
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: 1
CFD-DPM data-driven GWO-SVR for fast prediction of nitrate decomposition in blast furnaces with nozzle arrangement optimization
Wenchang Wu, Menghui Zhang, Zhao Liang, et al.
Process Safety and Environmental Protection (2023) Vol. 176, pp. 438-449
Closed Access | Times Cited: 22
Predicting THM Formation and Revealing Its Contributors in Drinking Water Treatment Using Machine Learning
Rabbi Sikder, Tianyu Zhang, Tao Ye
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 899-912
Closed Access | Times Cited: 19
Landslide Susceptibility Mapping in Guangdong Province, China, Using Random Forest Model and Considering Sample Type and Balance
Li Zhuo, Yupu Huang, Jing Zheng, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 9024-9024
Open Access | Times Cited: 16
Machine learning framework for predicting cytotoxicity and identifying toxicity drivers of disinfection byproducts
Rabbi Sikder, Huichun Zhang, Peng Gao, et al.
Journal of Hazardous Materials (2024) Vol. 469, pp. 133989-133989
Closed Access | Times Cited: 6
Exploring the potential of machine learning to understand the occurrence and health risks of haloacetic acids in a drinking water distribution system
Ying Yu, Md. Mahjib Hossain, Rabbi Sikder, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175573-175573
Closed Access | Times Cited: 6
Assessment of the dispersion of pollutants from automobile exhaust, taking into account relative humidity, pavement temperature, wind direction and speed, which varies depending on the time of day
Alibek Issakhov, Aizhan Abylkassymova
International Communications in Heat and Mass Transfer (2024) Vol. 159, pp. 108140-108140
Closed Access | Times Cited: 5
Improving hydraulic conductivity prediction of bentonite using machine learning with generative adversarial network-based data augmentation
Xiaoqiong Shi, Pengfei Zhang, Jiaxing Feng, et al.
Construction and Building Materials (2025) Vol. 462, pp. 139962-139962
Closed Access
Metaheuristic-driven enhancement of categorical boosting algorithm for flood-prone areas mapping
Seyed Vahid Razavi-Termeh, Ali Pourzangbar, Abolghasem Sadeghi‐Niaraki, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104357-104357
Closed Access
Transforming PFAS management: A critical review of machine learning applications for enhanced monitoring and treatment
Md Hasan-Ur Rahman, Rabbi Sikder, Tanvir Ahamed Tonmoy, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 106941-106941
Closed Access
A study on the impact of meteorological and emission factors on PM2.5 concentrations based on machine learning
Guoying Zhao, Zejian Lin, Leifeng Yang, et al.
Journal of Environmental Management (2025) Vol. 376, pp. 124347-124347
Closed Access
Mechanical properties and microstructural evolution of Malan loess with depth: Insights from multivariate statistical models
Xi Gao, Wanli Xie, Kangze Yuan, et al.
Soil and Tillage Research (2025) Vol. 251, pp. 106548-106548
Closed Access
Interpretable Machine Learning Approaches for Forecasting and Predicting Air Pollution: A Systematic Review
Anass Houdou, Imad El Badisy, Kenza Khomsi, et al.
Aerosol and Air Quality Research (2023) Vol. 24, Iss. 1, pp. 230151-230151
Open Access | Times Cited: 10
Advanced soft-sensing techniques for predicting furnace temperature in industrial organic waste gasification
Mingyue Yan, Huiyang Bi, HuanXu Wang, et al.
Process Safety and Environmental Protection (2024) Vol. 190, pp. 1253-1262
Closed Access | Times Cited: 3
Uncertainty of Partial Dependence Relationship between Climate and Vegetation Growth Calculated by Machine Learning Models
Boyi Liang, Hongyan Liu, Elizabeth L. Cressey, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2920-2920
Open Access | Times Cited: 6
A short survey on Interpretable techniques with Time series data
Mahesh Sasikumar, Ebin Deni Raj
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024) Vol. 30, pp. 1-10
Closed Access | Times Cited: 1
Quantitative identification on spatial mismatch characteristics between supply and demand of carbon sequestration services
Lilei Zhou, Mengyu Li, Dongjie Guan, et al.
Journal of Environmental Management (2024) Vol. 365, pp. 121636-121636
Closed Access | Times Cited: 1
Enhanced PM2.5 estimation across China: An AOD-independent two-stage approach incorporating improved spatiotemporal heterogeneity representations
Q. Chen, Kaiwen Shao, Songlin Zhang
Journal of Environmental Management (2024) Vol. 368, pp. 122107-122107
Open Access | Times Cited: 1
Two-stage estimation of hourly diffuse solar radiation across China using end-to-end gradient boosting with sequentially boosted features
Lu Chen, Haoze Shi, Hong Tang, et al.
Remote Sensing of Environment (2024) Vol. 315, pp. 114445-114445
Closed Access | Times Cited: 1
Predicting microbial extracellular electron transfer activity in paddy soils with soil physicochemical properties using machine learning
Jiajun Ou, Xiao‐San Luo, JunYang Liu, et al.
Science China Technological Sciences (2023) Vol. 67, Iss. 1, pp. 259-270
Closed Access | Times Cited: 2
Predicting the stereoselectivity of chemical reactions by composite machine learning method
Jihoon Chung, Justin Li, Amirul Islam Saimon, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
A novel spatiotemporal prediction approach to fill air pollution data gaps using mobile sensors, machine learning and citizen science techniques
Arunik Baruah, Dimitrios Bousiotis, Seny Damayanti, et al.
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access
Explainable artificial intelligence models for proposing mitigation strategies to combat urbanization impact on land surface temperature dynamics in Saudi Arabia
Javed Mallick, Saeed Alqadhi
Urban Climate (2024) Vol. 59, pp. 102259-102259
Closed Access
Using Interpretable Machine Learning to Identify Key Patterns Underlying Home Price Dynamics
Heng Wan, Brent Daniel, Vivek Srikrishnan, et al.
(2023)
Closed Access
Page 1

Scroll to top