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:

A Brief Review of Machine Learning Algorithms in Forest Fires Science
Ramez Alkhatib, Wahib Sahwan, Anas Alkhatieb, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8275-8275
Open Access | Times Cited: 58

Showing 26-50 of 58 citing articles:

Predictive Modeling of Fire Incidence Using Deep Neural Networks
Cheng‐Yu Ku, Chih‐Yu Liu
Fire (2024) Vol. 7, Iss. 4, pp. 136-136
Open Access | Times Cited: 3
SHAP-Driven Explainable Artificial Intelligence Framework for Wildfire Susceptibility Mapping Using MODIS Active Fire Pixels: An In-Depth Interpretation of Contributing Factors in Izmir, Türkiye
Muzaffer Can İban, Oktay Aksu
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2842-2842
Open Access | Times Cited: 3
Remote Sensing Image Target Detection Method Based on Refined Feature Extraction
Bo Tian, Hui Chen
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8694-8694
Open Access | Times Cited: 7
Software Requirement Risk Prediction Using Enhanced Fuzzy Induction Models
Hussaini Mamman, Abdullateef O. Balogun, Shuib Basri, et al.
Electronics (2023) Vol. 12, Iss. 18, pp. 3805-3805
Open Access | Times Cited: 4
Machine Learning for Geospatial Analysis
R. Vincent, E. Sakthivel, Meena Kumari, et al.
Advances in geospatial technologies book series (2024), pp. 168-195
Closed Access | Times Cited: 1
Research on YOLOv5 forest fire recognition algorithm utilizing attention mechanism
Zizhen Feng
(2024) Vol. 2776, pp. 114-114
Closed Access | Times Cited: 1
Utilizing Deep Learning and Spatial Analysis for Accurate Forest Fire Occurrence Forecasting in the Central Region of China
Youbao Guo, Quansheng Hai, Sainbuyan Bayarsaikhan
Forests (2024) Vol. 15, Iss. 8, pp. 1380-1380
Open Access | Times Cited: 1
Prediction of Wildfire Occurrence in the Southern Forest Regions of China in the Future Scenario
Jing Li, Duan Huang, Beiping Long, et al.
Forests (2024) Vol. 15, Iss. 11, pp. 2029-2029
Open Access | Times Cited: 1
From Firestick to Satellites: Technological Advancement and Indigenous Cultural Practice in Managing Forest Fires in Australia
Harikesh Singh, Sanjeev Srivastava
The Historic Environment Policy & Practice (2024), pp. 1-24
Closed Access | Times Cited: 1
A MATTER-Enabled IoT Framework for Enhanced Fire Detection and Real-Time Decision-Making
Navodit Bhardwaj, Pallavi Joshi
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access | Times Cited: 1
Estimation of PID parameters of BLDC motor system by using machine learning methods
Göksu Taş, Mehmet Özdamar
Signal Image and Video Processing (2024) Vol. 19, Iss. 2
Closed Access | Times Cited: 1
Developing a hybrid deep learning model with explainable artificial intelligence (XAI) for enhanced landslide susceptibility modeling and management
Saeed Alqadhi, Javed Mallick, Meshel Q. Alkahtani, et al.
Natural Hazards (2023) Vol. 120, Iss. 4, pp. 3719-3747
Closed Access | Times Cited: 4
Fusing Innovation and Nature: Empowering Forest Fire Detection and Prediction Through IoT Enabled Edge Computing and Deep Learning
Keshav Dhir, Prabhsimran Singh, Ronnie Das, et al.
IFIP advances in information and communication technology (2023), pp. 225-236
Closed Access | Times Cited: 2
An Efficient Forest Fire Detection Algorithm Using Improved YOLOv5
Pei Shi, Jun Lu, Quan Wang, et al.
Forests (2023) Vol. 14, Iss. 12, pp. 2440-2440
Open Access | Times Cited: 2
Natural or man-made? Finding the drivers of forest fires within the protected area habitats: a case study from the lower Shivalik Landscape, Western Himalaya
Tamali Mondal, Soumya Dasgupta, Dinesh Bhatt, et al.
Natural Hazards (2024) Vol. 120, Iss. 8, pp. 7765-7785
Closed Access
Algorithmic Frontiers in Global English Literary and Cultural Studies: Navigating the Digital Shift
Fei Xue, Xin Chen
Lecture Notes in Education Psychology and Public Media (2024) Vol. 47, Iss. 1, pp. 180-185
Open Access
ECOGUARD: Forest Fire Detection System using Deep Learning Improved with Elastic Weight Consolidation
M A Gunavathie, A. Sivanesan, G.Bala Yaswanth, et al.
(2024), pp. 115-120
Closed Access
Advancing Early Warning Systems for Fire Detection: A Comprehensive Approach in Machine Learning
Ashwaq Katham Mtasher, Jenan Jader Msad, Dhakaa Mohsin Kareem
Iraqi Journal for Computers and Informatics (2024) Vol. 50, Iss. 1, pp. 187-194
Open Access
FireSense: Integrating Deep Learning with ESP32 Microcontrollers for Enhanced Forest Fire Surveillance
Rohan Arunkumar, Atul Dubey
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2024), pp. 1653-1658
Closed Access
Understanding the Landscape: A Review of Explainable AI in Healthcare Decision-Making
Zulfikar Ali Ansari, Manish Madhava Tripathi, Rafeeq Ahmed
Research Square (Research Square) (2024)
Closed Access
Enhancing wildfire detection: a novel algorithm for controllable generation of wildfire smoke images
Yinuo Huo, Qixing Zhang, Chong Wang, et al.
International Journal of Wildland Fire (2024) Vol. 33, Iss. 11
Open Access
Integrating Machine Learning Into Wildlife and Forest Conservation
Souvik Dhar, A N Purohit and U Dhar
Advances in environmental engineering and green technologies book series (2024), pp. 129-156
Closed Access
Evaluation of Three Algorithms and Forest Fire Risk Prediction in Zhejiang Province of China
Richard Bian, Keji Chen, Guoqiang Li, et al.
Forests (2024) Vol. 15, Iss. 12, pp. 2146-2146
Open Access
Investigation on the Association Between Socio-Economic Multivariate Data and Fire Incidence Based on Machine Learning Method: A Case Study in Shaanxi, China
Yijia Wang, Pan Chen, Xiaoyong Ni, et al.
Fire Technology (2024)
Closed Access
A Comparison of One-Class Versus Two-Class Machine Learning Models for Wildfire Prediction in California
Fathima Nuzla Ismail, Abira Sengupta, Brendon J. Woodford, et al.
Communications in computer and information science (2023), pp. 239-253
Closed Access | Times Cited: 1

Scroll to top