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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:

GIS-based landslide susceptibility mapping using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh
Md. Sharafat Chowdhury, Md. Naimur Rahman, Md. Sujon Sheikh, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e23424-e23424
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Machine learning optimization for enhanced biomass-coal co-gasification
Junting Pan, Hossein Shahbeik, Alireza Shafizadeh, et al.
Renewable Energy (2024) Vol. 229, pp. 120772-120772
Closed Access | Times Cited: 9
Novel Transfer Learning Approach for Driver Drowsiness Detection Using Eye Movement Behavior
Hamza Ahmad Madni, Ali Raza, Rukhshanda Sehar, et al.
IEEE Access (2024) Vol. 12, pp. 64765-64778
Open Access | Times Cited: 6
GIS-based frequency ratio and Shannon entropy modeling for landslide susceptibility mapping: A case study in Kundah Taluk, Nilgiris District, India
Harithaa Senthilkumar, Evany Nithya Selvaraj
Open Geosciences (2025) Vol. 17, Iss. 1
Open Access
Landslide Identification from Post-Earthquake High-Resolution Remote Sensing Images Based on ResUNet–BFA
Zhenyu Zhao, Shucheng Tan, Yiquan Yang, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 995-995
Open Access
Geospatial mapping of large-scale electric power grids: A graph convolutional network-based approach with attention mechanism
Razzaqul Ahshan, Md. Shadman Abid, Mohammed Al‐Abri
Energy and AI (2025), pp. 100486-100486
Open Access
Insights into landslide susceptibility: a comparative evaluation of multi-criteria analysis and machine learning techniques
Zuleide Alves Ferreira, Bruna Almeida, Ana Cristina Costa, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Multi-scenario landslide probabilistic hazard analysis based on a single rainfall event: A case of the Zhuzhou-Guangzhou section of Beijing-Guangzhou railway in China
Zhiwen Xue, Chong Xu, Jiale Jin, et al.
Research Square (Research Square) (2025)
Closed Access
Comparative assessment of machine learning models for landslide susceptibility mapping: a focus on validation and accuracy
Mohamed M. Abdelkader, Árpád Csámer
Natural Hazards (2025)
Open Access
What are the spatial distribution characteristics of the 4417 landslides in Minhe County, Qinghai Province, China?
Qinxia Wang, Chong Xu
Frontiers in Earth Science (2025) Vol. 13
Open Access
Geospatial assessment of landslide-prone areas in the southern part of Anambra State, Nigeria using classical statistical models
Vincent E. Nwazelibe, Johnbosco C. Egbueri
Environmental Earth Sciences (2024) Vol. 83, Iss. 7
Closed Access | Times Cited: 2
A Spatial Study on the Impact of Habitat Quality on Geological Disaster Susceptibility: A Case Study in Pingshan County, China
Miao Zhang, Aihong Zhou, Siyuan Cao, et al.
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5151-5151
Open Access | Times Cited: 1
Multi-Hazard Assessment for Flood and Landslide Risk in Kalimantan and Sumatra: Implications for Nusantara, Indonesia's New Capital
Sujung Heo, Wonmin Sohn, Sang-Jin Park, et al.
Heliyon (2024) Vol. 10, Iss. 18, pp. e37789-e37789
Open Access | Times Cited: 1
Advancements in Technologies and Methodologies of Machine Learning in Landslide Susceptibility Research: Current Trends and Future Directions
Zongyue Lu, Genyuan Liu, Zhihong Song, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9639-9639
Open Access | Times Cited: 1
Landslide Studies in the Context of Disaster Management in Bangladesh—A Systematic Literature Review
Tanvir Hossain, Mahmud Al Noor Tushar, Sanzida Murshed, et al.
Earth (2024) Vol. 5, Iss. 4, pp. 784-811
Open Access | Times Cited: 1
Exploring uncertainty analysis in GIS-based Landslide susceptibility mapping models using machine learning in the Darjeeling Himalayas
Sumon Dey, Swarup Das, Abhik Saha
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Landslide Susceptibility Assessment Using the Frequency Ratio Model in the Mae Chan River Watershed, Northern Thailand.
Pichawut Manopkawee, Niti Mankhemthong
Quaternary Science Advances (2024), pp. 100263-100263
Open Access | Times Cited: 1
Applying U-Net CNN Approach for Landslide Susceptibility Mapping
Anugrah Santosh Patekar, Esther Daniel, S. Seetha, et al.
(2024), pp. 1-6
Closed Access
Enhanced analysis of landslide susceptibility mapping in the proximity of main roads in the province of Skikda, Algeria: using NAS for efficient performance and faster processing
Nadjib Mebirouk, Moussa Amrane, Salah Messast, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 5, pp. 6449-6474
Closed Access
Landslide susceptibility prediction and mapping in Taihang mountainous area based on optimized machine learning model with genetic algorithm
Junjie Jiang, Qizhi Wang, S Luan, et al.
Earth Science Informatics (2024)
Closed Access
Optimizing Landslide Susceptibility Mapping in Oued Guebli Watershed: A Comparative Study of Deep Learning, Support Vector Machines, Logistic Regression with Spatial Validation and AUC- ROC Analysis
Nadjib Mebirouk, Moussa Amrane, Salah Messast
Research Square (Research Square) (2024)
Closed Access
Classification of Concrete Compressive Strength Using Machine Learning Methods
Muhammet Ozdemir, Gaffari Çelik
Lecture notes in computer science (2024), pp. 343-353
Closed Access
Predictive landslide susceptibility modeling in the southeastern hilly region of Bangladesh: application of machine learning algorithms in Khagrachari district
Md. Mahmudul Hasan, Sujit Kumar Roy, M D Talha, et al.
Environmental Science and Pollution Research (2024)
Closed Access
Analysing Spatio-temporal Dynamics of Urban Sprawl, Evolving Pattern of Urban Landscape and Driving Forces of Urban Growth: A Case of Varanasi Planning Region, India
Ratnadeep Dutta, Iman Banerjee
Journal of Asian and African Studies (2024)
Closed Access
Assessment of Landslide Susceptibility using Geospatial Techniques: A Comparative Evaluation of Machine Learning and Statistical Models
Subrata Raut, Dipanwita Dutta, Debarati Bera, et al.
Geological Journal (2024)
Closed Access
AI-Based model for site-selecting earthquake emergency shelters
Amirmasoud Amiran, Behrouz Behnam, Sanaz Seyedin
Scientific Reports (2024) Vol. 14, Iss. 1
Closed Access
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