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:
Estimation of moisture in live fuels in the mediterranean: Linear regressions and random forests
Aurora Ferrer Palomino, Patricia Sánchez Espino, Cristian Borrego Reyes, et al.
Journal of Environmental Management (2022) Vol. 322, pp. 116069-116069
Closed Access | Times Cited: 13
Aurora Ferrer Palomino, Patricia Sánchez Espino, Cristian Borrego Reyes, et al.
Journal of Environmental Management (2022) Vol. 322, pp. 116069-116069
Closed Access | Times Cited: 13
Showing 13 citing articles:
Prediction of the NOx and CO2 emissions from an experimental dual fuel engine using optimized random forest combined with feature engineering
Silvio Cesar de Lima Nogueira, Stephan Hennings Och, Luís Mauro Moura, et al.
Energy (2023) Vol. 280, pp. 128066-128066
Closed Access | Times Cited: 46
Silvio Cesar de Lima Nogueira, Stephan Hennings Och, Luís Mauro Moura, et al.
Energy (2023) Vol. 280, pp. 128066-128066
Closed Access | Times Cited: 46
How does 2D and 3D of urban morphology affect the seasonal land surface temperature in Island City? A block-scale perspective
Zhipeng Zhu, Yuanping Shen, Weicong Fu, et al.
Ecological Indicators (2023) Vol. 150, pp. 110221-110221
Open Access | Times Cited: 27
Zhipeng Zhu, Yuanping Shen, Weicong Fu, et al.
Ecological Indicators (2023) Vol. 150, pp. 110221-110221
Open Access | Times Cited: 27
Comparative Analysis of Machine Learning-Based Predictive Models for Fine Dead Fuel Moisture of Subtropical Forest in China
Xiang Hou, Zhiwei Wu, Shihao Zhu, et al.
Forests (2024) Vol. 15, Iss. 5, pp. 736-736
Open Access | Times Cited: 5
Xiang Hou, Zhiwei Wu, Shihao Zhu, et al.
Forests (2024) Vol. 15, Iss. 5, pp. 736-736
Open Access | Times Cited: 5
Characteristic Wavelength Selection and Surrogate Monitoring for UV–Vis Absorption Spectroscopy-Based Water Quality Sensing
Chenyu Chen, Meiyu Luo, Wenyu Wang, et al.
Water (2025) Vol. 17, Iss. 3, pp. 343-343
Open Access
Chenyu Chen, Meiyu Luo, Wenyu Wang, et al.
Water (2025) Vol. 17, Iss. 3, pp. 343-343
Open Access
Enhancing peak performance forecasting in steam power plants through innovative AI-driven exergy-energy analysis
Muhammad Ali Ijaz Malik, Adeel Ikram, Sadaf Zeeshan, et al.
Energy Conversion and Management X (2025), pp. 101025-101025
Open Access
Muhammad Ali Ijaz Malik, Adeel Ikram, Sadaf Zeeshan, et al.
Energy Conversion and Management X (2025), pp. 101025-101025
Open Access
Prediction of tensile strength of basalt continuous fiber from chemical composition using machine learning models
Ling Zhang, Yang Lu, Chuan Lai, et al.
Polymer Composites (2023) Vol. 44, Iss. 10, pp. 6634-6645
Closed Access | Times Cited: 7
Ling Zhang, Yang Lu, Chuan Lai, et al.
Polymer Composites (2023) Vol. 44, Iss. 10, pp. 6634-6645
Closed Access | Times Cited: 7
Intelligent Analysis of Construction Costs of Shield Tunneling in Complex Geological Conditions by Machine Learning Method
Xiaomu Ye, Pengfei Ding, Dawei Jin, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1423-1423
Open Access | Times Cited: 5
Xiaomu Ye, Pengfei Ding, Dawei Jin, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1423-1423
Open Access | Times Cited: 5
A comparison of five models in predicting surface dead fine fuel moisture content of typical forests in Northeast China
Jiale Fan, Tongxin Hu, Jinsong Ren, et al.
Frontiers in Forests and Global Change (2023) Vol. 6
Open Access | Times Cited: 5
Jiale Fan, Tongxin Hu, Jinsong Ren, et al.
Frontiers in Forests and Global Change (2023) Vol. 6
Open Access | Times Cited: 5
Transferability of Empirical Models Derived from Satellite Imagery for Live Fuel Moisture Content Estimation and Fire Risk Prediction
Eva Marino, Lucía Yáñez, Mercedes Guijarro, et al.
Fire (2024) Vol. 7, Iss. 8, pp. 276-276
Open Access | Times Cited: 1
Eva Marino, Lucía Yáñez, Mercedes Guijarro, et al.
Fire (2024) Vol. 7, Iss. 8, pp. 276-276
Open Access | Times Cited: 1
Real-time assessment of live forest fuel moisture content and flammability by using space-time universal kriging
Andrea Viñuales, Fernando Montes, Mercedes Guijarro, et al.
Ecological Modelling (2024) Vol. 498, pp. 110867-110867
Open Access
Andrea Viñuales, Fernando Montes, Mercedes Guijarro, et al.
Ecological Modelling (2024) Vol. 498, pp. 110867-110867
Open Access
Evaluating the performance of spectral indices and meteorological variables as indicators of live fuel moisture content in Mediterranean shrublands
María Alicia Arcos, A. Balaguer, Luis Á. Ruiz
Ecological Indicators (2024) Vol. 169, pp. 112894-112894
Open Access
María Alicia Arcos, A. Balaguer, Luis Á. Ruiz
Ecological Indicators (2024) Vol. 169, pp. 112894-112894
Open Access
Geostatistical Modeling of Wildfire Occurrence Probability: The Case Study of Monte Catillo Natural Reserve in Italy
Davide Berardi, Marta Galuppi, Angelo Libertà, et al.
Fire (2023) Vol. 6, Iss. 11, pp. 427-427
Open Access | Times Cited: 1
Davide Berardi, Marta Galuppi, Angelo Libertà, et al.
Fire (2023) Vol. 6, Iss. 11, pp. 427-427
Open Access | Times Cited: 1
Optimizing Steam Power Plants: Ai-Enhanced Exergy-Energy Analysis for Peak Performance Forecasting
Muhammad Ali Ijaz Malik, Adeel Ikram, Sadaf Zeeshan, et al.
(2023)
Closed Access
Muhammad Ali Ijaz Malik, Adeel Ikram, Sadaf Zeeshan, et al.
(2023)
Closed Access
