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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.

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Showing 26-50 of 44 citing articles:

GIS – Based Landslide Susceptibility Mapping Using Fuzzy AHP – Multicriteria Evaluation Method for Rudraprayag District, Uttarakhand
Deepika Vashishtha, Shahab Fazal, Zainab Khan
Springer proceedings in earth and environmental sciences (2024), pp. 85-104
Closed Access | Times Cited: 1
Enhancing analyst decisions for seismic source discrimination with an optimized learning model
Mohamed S. Abdalzaher, Sayed S. R. Moustafa, W. Farid, et al.
Geoenvironmental Disasters (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Landslide risk assessment considering socionatural factors: methodology and application to Cubatão municipality, São Paulo, Brazil
Paulo Rodolpho Pereira Hader, Fábio Augusto Gomes Vieira Reis, Anna Sílvia Palcheco Peixoto
Natural Hazards (2021) Vol. 110, Iss. 2, pp. 1273-1304
Closed Access | Times Cited: 8
Landslide Susceptibility Modeling Using a Deep Random Neural Network
Cheng Huang, Fang Li, Lei Wei, et al.
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12887-12887
Open Access | Times Cited: 6
The effect of spatial scales and imbalanced data treatment on the landslide susceptibility mapping using Random Forest
Yanto Yanto, Mahmud Iwan Solihin, Gito Sugiyanto
AIP conference proceedings (2023)
Closed Access | Times Cited: 3
Adaptive membership enhanced fuzzy classifier with modified LSTM for automated rainfall prediction model
Nishant N. Pachpor, B. Suresh Kumar, Prakash S. Prasad
Intelligent Decision Technologies (2023) Vol. 17, Iss. 4, pp. 1031-1060
Closed Access | Times Cited: 3
Machine learning and artificial intelligence models development in rainfall-induced landslide prediction
Hastuadi Harsa, Anistia Malinda Hidayat, Adi Mulsandi, et al.
IAES International Journal of Artificial Intelligence (2022) Vol. 12, Iss. 1, pp. 262-262
Open Access | Times Cited: 5
Deep convolutional neural networks with Bee Collecting Pollen Algorithm (BCPA)-based landslide data balancing and spatial prediction
J. Aruna Jasmine, C. Heltin Genitha
Journal of Intelligent & Fuzzy Systems (2023) Vol. 46, Iss. 1, pp. 597-617
Closed Access | Times Cited: 2
DR-A-LSTM: A Recurrent Neural Network with a Dimension Reduction Autoencoder a Deep Learning Approach for Landslide Movements Prediction
Praveen Kumar, P. Priyanka, K. V. Uday, et al.
Communications in computer and information science (2023), pp. 35-49
Closed Access | Times Cited: 1
Computer model for detecting tsunami wave hazard on built-up land using machine learning and sentinel 2A satellite imagery
Sri Yulianto Joko Prasetyo, Wiwin Sulistyo, Erwien Christanto, et al.
IAES International Journal of Artificial Intelligence (2024) Vol. 13, Iss. 2, pp. 1535-1535
Open Access
Heterogeneous transfer learning considering feature representation and environmental consistency for landslide spatial prediction
Zheng Zhao, Weihong Wang, Jianhua Chen, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access
Object Detection Driven Precision Forecasting in Curved Terrains
U. Surendar, K T Nithishkannan, Jansi Rani REL, et al.
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 5, pp. 1412-1432
Open Access
Slope Displacement Prediction Based on Cross Distillation for Small Samples
Zheng Haiqing, Zhao Yuelei, Xiaoyun Sun, et al.
Environmental science and engineering (2024), pp. 25-37
Closed Access
A Study of Network Roads Landslides and Their Stabilization Methods in Fahs Anjra Province: North of Morocco
Basheer Sharaf Al Qadami, Mostafa Oujidi, Houssine Ejjaouani, et al.
Indian geotechnical journal (2022) Vol. 53, Iss. 3, pp. 593-612
Closed Access | Times Cited: 2
Landslide susceptibility mapping using machine learning for Wenchuan County, Sichuan province, China
Xin Yang, Rui Liu, Luyao Li, et al.
E3S Web of Conferences (2020) Vol. 198, pp. 03023-03023
Open Access | Times Cited: 2
Machine Learning Based Early Prediction of Rainfall Induced Landslide – A Detailed Review
V. Aarthi, V. Vijayarangan
Algorithms for intelligent systems (2021), pp. 467-488
Closed Access | Times Cited: 2
Extreme Rainfall Induced Landslide Susceptibility Assessment Using Autoencoder Combined with Random Forest
Kounghoon Nam, Fawu Wang
ICL contribution to landslide disaster risk reduction (2020), pp. 323-329
Closed Access | Times Cited: 1
Classification of Dry and Wet Periods Using Commercial Microwave Links: A One-Class Classification Machine Learning Approach Based on Autoencoders
Peng Zhang, Xichuan Liu, Kang Pu
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 62, pp. 1-13
Closed Access
Geo-ontology model construction for urban flood disaster: a case study of community scale
Zhi-Zhou Zhu, Shuliang Zhang, Zhi-Yan Gong, et al.
Research Square (Research Square) (2022)
Open Access
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