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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:

Spatiotemporal landslide susceptibility mapping using machine learning models: A case study from district Hattian Bala, NW Himalaya, Pakistan
Ahmad Hammad Khaliq, Muhammad Basharat, Malik Talha Riaz, et al.
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 3, pp. 101907-101907
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Soil erosion on steep hills with varying vegetation patterns
Muhammad Aqeel, Nadir Murtaza, Waquar Ahmed, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access | Times Cited: 2
Landslide Susceptibility Assessment Using the Analytic Hierarchy Process (AHP): A Case Study of a Construction Site for Photovoltaic Power Generation in Yunxian County, Southwest China
Jinxuan Zhou, Shucheng Tan, Jun Li, et al.
Sustainability (2023) Vol. 15, Iss. 6, pp. 5281-5281
Open Access | Times Cited: 25
Investigating the efficacy of physics-based metaheuristic algorithms in combination with explainable ensemble machine-learning models for landslide susceptibility mapping
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Rizwan Ali Naqvi, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access | Times Cited: 1
Comprehensive review of remote sensing integration with deep learning in landslide forecasting and future directions
Nilesh Suresh Pawar, Kul Vaibhav Sharma
Natural Hazards (2025)
Closed Access | Times Cited: 1
Enhancing landslide disaster prediction by evaluating non landslide area sampling in machine learning models for Spiti Valley India
Devraj Dhakal, Kanwarpreet Singh, Kennedy C. Onyelowe, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Does machine learning adequately predict earthquake induced landslides?
Ajaya Pyakurel, Bhim Kumar Dahal, Dipendra Gautam
Soil Dynamics and Earthquake Engineering (2023) Vol. 171, pp. 107994-107994
Closed Access | Times Cited: 23
Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms
Himan Shahabi, Reza Ahmadi, Mohsen Alizadeh, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3112-3112
Open Access | Times Cited: 20
Assessment of resampling methods on performance of landslide susceptibility predictions using machine learning in Kendari City, Indonesia
Septianto Aldiansyah, Farida Wardani
Water Practice & Technology (2024) Vol. 19, Iss. 1, pp. 52-81
Open Access | Times Cited: 5
A comparative evaluation of landslide susceptibility mapping using machine learning-based methods in Bogor area of Indonesia
Dian Nuraini Melati, Raditya Panji Umbara, Astisiasari Astisiasari, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 3
Open Access | Times Cited: 5
Machine learning techniques on spatio-temporal data for landslide susceptibility assessment at Dieng Mountainous Region, Banjarnegara district, Central Java, Indonesia
Yusuf Susena, Danang Sri Hadmoko, Sandy Budi Wibowo
Natural Hazards (2025)
Closed Access
Landslide Susceptibility Mapping Based on Multitemporal Remote Sensing Image Change Detection and Multiexponential Band Math
Xianyu Yu, Yang Xia, Jianguo Zhou, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 2226-2226
Open Access | Times Cited: 9
Integrating predictive modeling techniques with geospatial data for landslide susceptibility assessment in northern Pakistan
Aamir Asghar, Lijun Su, Bo Zhao, et al.
Journal of Mountain Science (2023) Vol. 20, Iss. 9, pp. 2603-2627
Closed Access | Times Cited: 9
Evaluating landslide susceptibility and landscape changes due to road expansion using optimized machine learning
Saeed Alqadhi, Hoang Thi Hang, Javed Mallick, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 3
Landslide susceptibility prediction using machine learning and remote sensing: Case study in Thua Thien Hue province, Vietnam
Huu Duy Nguyen, Quoc Huy Nguyen, Quan Vu Viet Du, et al.
Geological Journal (2023) Vol. 59, Iss. 2, pp. 636-658
Open Access | Times Cited: 8
CAL-Net: Conditional Attention Lightweight Network for In-Orbit Landslide Detection
Yibin Fu, Weiming Li, Shuaishuai Fan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-15
Closed Access | Times Cited: 7
Semi-quantitative landslide risk assessment of district Muzaffarabad, northwestern Himalayas, Pakistan
Muhammad Tayyib Riaz, Muhammad Basharat, Maria Teresa Brunetti, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 9, pp. 3551-3570
Closed Access | Times Cited: 5
Predicting potential reforestation areas by Quercus ilex (L.) species using machine learning algorithms: case of upper Ziz, southeastern Morocco
Mohamed Manaouch, Mohamed Sadiki, Quoc Bao Pham, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 9
Closed Access | Times Cited: 5
Assessing the relationship between landslide susceptibility and land cover change using machine learning
Duy Nguyen Huu, Tung Vu Cong, Petre Brețcan, et al.
VIETNAM JOURNAL OF EARTH SCIENCES (2024)
Open Access | Times Cited: 1
Suitability Analysis of Landslide Susceptibility Model of Uttarkashi District in Uttarakhand, India: A Comparative Approach Between Weighted Overlay and Multi-criteria Decision Analysis
Asutosh Goswami, Suhel Sen, Priyanka Majumder
Advances in natural and technological hazards research (2024), pp. 219-242
Closed Access | Times Cited: 1
Landslide Susceptibility Mapping Through Hyperparameter Optimized Bagging and Boosting Ensembles: Case Study of NH-10, West Bengal, India
Sumon Dey, Swarup Das
Advances in geographic information science (2024), pp. 123-140
Closed Access | Times Cited: 1
Remote Sensing and GIS-Based Accuracy Assessment of LULC Map and Landslide Susceptibility Prediction for Meghalaya, India
Badavath Naveen, Smrutirekha Sahoo
Journal of the Geological Society of India (2024) Vol. 100, Iss. 5, pp. 622-638
Closed Access | Times Cited: 1
Characterization and Geomorphic Change Detection of Landslides Using UAV Multi-Temporal Imagery in the Himalayas, Pakistan
Naseem Ahmad, Muhammad Shafique, Mian Luqman Hussain, et al.
Land (2024) Vol. 13, Iss. 7, pp. 904-904
Open Access | Times Cited: 1
Landslide susceptibility prediction method based on HSOM and IABPA-CNN in Wenchuan earthquake disaster area
Dunlong Liu, Qian Xiang, Xuejia Sang, et al.
Journal of Mountain Science (2024) Vol. 21, Iss. 12, pp. 4001-4018
Closed Access | Times Cited: 1
Suitability Evaluation of Land Use/ Land Cover (LULC) Towards Landslide Prone Areas in Structural and Volcano Landform

International Journal of Geoinformatics (2023)
Open Access | Times Cited: 3
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