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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:

A New Integrated Approach for Landslide Data Balancing and Spatial Prediction Based on Generative Adversarial Networks (GAN)
Husam A. H. Al-Najjar, Biswajeet Pradhan, Raju Sarkar, et al.
Remote Sensing (2021) Vol. 13, Iss. 19, pp. 4011-4011
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Shallow landslide susceptibility assessment under future climate and land cover changes: A case study from southwest China
Zizheng Guo, Joaquin V. Ferrer, Marcel Hürlimann, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 4, pp. 101542-101542
Open Access | Times Cited: 68
Deep Learning for Exploring Landslides with Remote Sensing and Geo-Environmental Data: Frameworks, Progress, Challenges, and Opportunities
Qi Zhang, Teng Wang
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1344-1344
Open Access | Times Cited: 21
Handling data imbalance in machine learning based landslide susceptibility mapping: a case study of Mandakini River Basin, North-Western Himalayas
Sharad Kumar Gupta, Dericks Praise Shukla
Landslides (2022) Vol. 20, Iss. 5, pp. 933-949
Closed Access | Times Cited: 42
Application of Artificial Intelligence and Remote Sensing for Landslide Detection and Prediction: Systematic Review
Stephen Akosah, Ivan Gratchev, Donghyun Kim, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2947-2947
Open Access | Times Cited: 8
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 | Times Cited: 1
Application of Bagging, Boosting and Stacking Ensemble and EasyEnsemble Methods for Landslide Susceptibility Mapping in the Three Gorges Reservoir Area of China
Xueling Wu, Junyang Wang
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 6, pp. 4977-4977
Open Access | Times Cited: 16
Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities
Zhengjing Ma, Gang Mei, Nengxiong Xu
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 6
A Meta-Learning Approach of Optimisation for Spatial Prediction of Landslides
Biswajeet Pradhan, Maher Ibrahim Sameen, Husam A. H. Al-Najjar, et al.
Remote Sensing (2021) Vol. 13, Iss. 22, pp. 4521-4521
Open Access | Times Cited: 36
Comparison of general kernel, multiple kernel, infinite ensemble and semi-supervised support vector machines for landslide susceptibility prediction
Zhice Fang, Yi Wang, Hexiang Duan, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 10, pp. 3535-3556
Closed Access | Times Cited: 22
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
The Effectiveness of Generative Adversarial Network-Based Oversampling Methods for Imbalanced Multi-Class Credit Score Classification
I Nyoman Mahayasa Adiputra, Pei‐Chun Lin, Paweena Wanchai
Electronics (2025) Vol. 14, Iss. 4, pp. 697-697
Open Access
Hybrids of Support Vector Regression with Grey Wolf Optimizer and Firefly Algorithm for Spatial Prediction of Landslide Susceptibility
Ru Liu, Jianbing Peng, Yanqiu Leng, et al.
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 4966-4966
Open Access | Times Cited: 24
An Improved Multi-Source Data-Driven Landslide Prediction Method Based on Spatio-Temporal Knowledge Graph
Luanjie Chen, Xingtong Ge, Lina Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2126-2126
Open Access | Times Cited: 9
Challenges in data-driven geospatial modeling for environmental research and practice
Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Generative Adversarial Network-Based Fault Detection in Semiconductor Equipment with Class-Imbalanced Data
Jeong Eun Choi, Da Hoon Seol, Chan Young Kim, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1889-1889
Open Access | Times Cited: 8
Patterns of influence of different landslide boundaries and their spatial shapes on the uncertainty of landslide susceptibility prediction
Yin Xing, Saipeng Huang, Jianping Yue, et al.
Natural Hazards (2023) Vol. 118, Iss. 1, pp. 709-727
Open Access | Times Cited: 8
Unboxing the Black Box of Attention Mechanisms in Remote Sensing Big Data Using XAI
Erfan Hasanpour Zaryabi, L. Moradi, Bahareh Kalantar, et al.
Remote Sensing (2022) Vol. 14, Iss. 24, pp. 6254-6254
Open Access | Times Cited: 13
Potential of synthetic images in landslide segmentation in data-poor scenario: a framework combining GAN and transformer models
Xiao Feng, Juan Du, Minghua Wu, et al.
Landslides (2024) Vol. 21, Iss. 9, pp. 2211-2226
Closed Access | Times Cited: 2
A side-sampling based Linformer model for landslide susceptibility assessment: a case study of the railways in China
Nan Jiang, Yange Li, Zheng Han, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
A Systematic review of machine learning based landslide susceptibility mapping
Semachew Molla Kassa
Put i saobraćaj (2024) Vol. 70, Iss. 2, pp. 23-30
Open Access | Times Cited: 2
Strategy of oversampling geotechnical parameters through geostatistical, SMOTE, and CTGAN methods for assessing susceptibility of landslide
Dae-Hong Min, Young-Seok Kim, Sewon Kim, et al.
Landslides (2023) Vol. 21, Iss. 2, pp. 291-307
Closed Access | Times Cited: 6
Seabed Modelling by Means of Airborne Laser Bathymetry Data and Imbalanced Learning for Offshore Mapping
Tomasz Kogut, Arkadiusz Tomczak, Adam Słowik, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3121-3121
Open Access | Times Cited: 8
A Recurrent Adaptive Network: Balanced Learning for Road Crack Segmentation with High-Resolution Images
Yi Zhang, Junfu Fan, Mengzhen Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3275-3275
Open Access | Times Cited: 8
Generating Stochastic Structural Planes Using Statistical Models and Generative Deep Learning Models: A Comparative Investigation
Meng Han, Nengxiong Xu, Yunfu Zhu, et al.
Mathematics (2024) Vol. 12, Iss. 16, pp. 2545-2545
Open Access | Times Cited: 1
Investigating landslide data balancing for susceptibility mapping using generative and machine learning models
Yuhang Jiang, Wei Wang, Lifang Zou, et al.
Landslides (2024)
Closed Access | Times Cited: 1
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