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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:

Evaluation of different machine learning models and novel deep learning-based algorithm for landslide susceptibility mapping
Tingyu Zhang, Yanan Li, Tao Wang, et al.
Geoscience Letters (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Landslide susceptibility assessment of South Korea using stacking ensemble machine learning
Seungmin Lee, Seung Jae Lee
Geoenvironmental Disasters (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 17
A Novel Approach for Most Vulnerable Zone Identification Using MT-InSAR and Machine Learning: A Case Study from Lesser Himalayan Region
Vipin Kumar Maurya, Devara Meghanadh, R. S. Dwivedi, et al.
Journal of the Indian Society of Remote Sensing (2025)
Closed Access | Times Cited: 2
Predicting deep-seated landslide displacement on Taiwan's Lushan through the integration of convolutional neural networks and the Age of Exploration-Inspired Optimizer
Jui‐Sheng Chou, Hoang-Minh Nguyen, Huy-Phuong Phan, et al.
Natural hazards and earth system sciences (2025) Vol. 25, Iss. 1, pp. 119-146
Open Access | Times Cited: 1
Enhancing co-seismic landslide susceptibility, building exposure, and risk analysis through machine learning
Ajaya Pyakurel, Diwakar K.C., Bhim Kumar Dahal
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
An Efficient U-Net Model for Improved Landslide Detection from Satellite Images
Naveen Chandra, Suraj Sawant, Himadri Vaidya
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (2023) Vol. 91, Iss. 1, pp. 13-28
Closed Access | Times Cited: 14
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
Deep learning approaches for landslide information recognition: Current scenario and opportunities
Naveen Chandra, Himadri Vaidya
Journal of Earth System Science (2024) Vol. 133, Iss. 2
Closed Access | Times Cited: 5
A review on landslide susceptibility mapping research in Bangladesh
Md. Sharafat Chowdhury
Heliyon (2023) Vol. 9, Iss. 7, pp. e17972-e17972
Open Access | Times Cited: 13
Improving landslide prediction by computer vision and deep learning
Byron Guerrero-Rodríguez, Jose Garcia-Rodriguez, Jaime Salvador–Meneses, et al.
Integrated Computer-Aided Engineering (2023) Vol. 31, Iss. 1, pp. 77-94
Closed Access | Times Cited: 12
Application of machine learning and deep learning in geothermal resource development: Trends and perspectives
Abdulrahman Al‐Fakih, Abdulazeez Abdulraheem, SanLinn I. Kaka
Deep Underground Science and Engineering (2024) Vol. 3, Iss. 3, pp. 286-301
Open Access | Times Cited: 4
An Adaptive Identification Method for Potential Landslide Hazards Based on Multisource Data
Wenping Yin, Chong Niu, Yongqing Bai, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1865-1865
Open Access | Times Cited: 7
Multi-model combination in key steps for landslide susceptibility modeling and uncertainty analysis: a case study in Baoji City, China
L.B. Liu, Jiqiu Deng
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Multi-Window Identification of Landslide Hazards Based on InSAR Technology and Factors Predisposing to Disasters
Chong Niu, Wenping Yin, Wei Xue, et al.
Land (2023) Vol. 12, Iss. 1, pp. 173-173
Open Access | Times Cited: 6
Debris Flow Susceptibility Evaluation in Meizoseismal Region: A Case Study in Jiuzhaigou, China
Yongwei Li, Linrong Xu, Yonghui Shang, et al.
Journal of Earth Science (2024) Vol. 35, Iss. 1, pp. 263-279
Closed Access | Times Cited: 2
Mapping wetland habitat health in moribund deltaic India using machine learning and deep learning algorithms
Satyajit Paul, Swades Pal
Ecohydrology & Hydrobiology (2024)
Closed Access | Times Cited: 2
Landslide susceptibility assessment in sikkim himalaya with rs & gis, augmented by improved statistical methods
Kuldeep Dutta, Nishchal Wanjari, Anil Kumar Misra
Arabian Journal of Geosciences (2024) Vol. 17, Iss. 4
Closed Access | Times Cited: 2
Statistical-based models for the production of landslide susceptibility maps and general risk analyses: a case study in Maçka, Turkey
Fatih Kadı
Acta Geophysica (2024)
Closed Access | Times Cited: 2
Using Deep Learning to Formulate the Landslide Rainfall Threshold of the Potential Large-Scale Landslide
Jie‐Lun Chiang, Chia-Ming Kuo, Leila Fazeldehkordi
Water (2022) Vol. 14, Iss. 20, pp. 3320-3320
Open Access | Times Cited: 8
Modeling of landslides susceptibility prediction using deep belief networks with optimized learning rate control
Qiang Liu, Namkha Norbu
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 1
Influence of high Andean grasslands on landslide reduction in Peru
Franco Cerna Cueva, Katherin Lourdes Uriarte-Barraza, Grecia Isabel Lobaton-Tarazona, et al.
Scientia Agropecuaria (2024) Vol. 15, Iss. 3, pp. 333-348
Open Access | Times Cited: 1
Important considerations in machine learning-based landslide susceptibility assessment under future climate conditions
Yi Han, Shabnam J. Semnani
Acta Geotechnica (2024)
Open Access | Times Cited: 1
Optimizing Machine Learning Models with Bayesian Techniques for Prediction of Groundwater Quality Index in Southwest Saudi Arabia
Fahad Alshehri, Shahfahad, Atiqur Rahman
Earth Systems and Environment (2024)
Closed Access | Times Cited: 1
Dynamic Research on Youth Thought, Behavior, and Growth Law Based on Deep Learning Algorithm
Qi Fu
International Journal of Data Warehousing and Mining (2024) Vol. 19, Iss. 4, pp. 1-19
Open Access
Comparative Analysis of Early Warning System for Landslide Prediction and Mitigation
Gayathri R Krishna, D. Usha Nandini
(2024) Vol. 279, pp. 640-647
Closed Access
Correction: Evaluation of different machine learning models and novel deep learning-based algorithm for landslide susceptibility mapping
Tingyu Zhang, Yanan Li, Tao Wang, et al.
Geoscience Letters (2023) Vol. 10, Iss. 1
Open Access
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