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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:

Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions
Quoc Bao Pham, Ömer Ekmekcioğlu, Sk Ajim Ali, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110429-110429
Closed Access | Times Cited: 12

Showing 12 citing articles:

Explainable artificial intelligence in disaster risk management: Achievements and prospective futures
Saman Ghaffarian, Firouzeh Taghikhah, Holger R. Maier
International Journal of Disaster Risk Reduction (2023) Vol. 98, pp. 104123-104123
Open Access | Times Cited: 57
Assessment of landslides induced by earthquake risk of Istanbul: A comprehensive study utilizing an integrated DFS-AHP and DFS-EDAS approach
Bahar Yalcın Kavus, Alev Taşkın Gümüş
Soil Dynamics and Earthquake Engineering (2025) Vol. 191, pp. 109285-109285
Closed Access
Stacking Ensemble Technique Using Optimized Machine Learning Models with Boruta–XGBoost Feature Selection for Landslide Susceptibility Mapping: A Case of Kermanshah Province, Iran
Zeynab Yousefi, Ali Asghar Alesheikh, Ali Jafari, et al.
Information (2024) Vol. 15, Iss. 11, pp. 689-689
Open Access | Times Cited: 3
İstanbul İçin CBS Tabanlı Makine Öğrenmesi İle Sel Duyarlılık Haritasının Oluşturulması
Zehra KOYUNCU, Ömer Ekmekcioğlu
Doğal Afetler ve Çevre Dergisi (2024) Vol. 10, Iss. 1, pp. 1-15
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
Interpretable hierarchical error correction GRU model for effective observation selection
Chao Zhang, Defu Jiang, Yiyue Gao, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110982-110982
Closed Access | Times Cited: 2
Assessment of Landslides Induced by Earthquake Risk of Istanbul: A Comprehensive Study Utilizing an Integrated Dfs-Ahp and Dfs-Edas Approach
Bahar Yalcın Kavus, Alev Taşkın Gümüş
(2024)
Closed Access
GIS-Based Landslides Risk Assessment Applying Certainty Factor (CF) and Ensemble with Deep Learning Neural Network (DLNN): a Study of Cachar District of Assam, India
Sk Ajim Ali, Farhana Parvin
Springer proceedings in earth and environmental sciences (2024), pp. 208-232
Closed Access
Enhanced landslide susceptibility mapping in data-scarce regions via unsupervised few-shot learning
L. S. L. Kong, Wenkai Feng, Xiaoyu Yi, et al.
Gondwana Research (2024) Vol. 138, pp. 31-46
Closed Access
Prediction of copper contamination in soil across EU using spectroscopy and machine learning: handling class imbalance problem
Chongchong Qi, Nana Zhou, Tao Hu, et al.
Smart Agricultural Technology (2024), pp. 100728-100728
Open Access
Addressing class imbalance in avalanche forecasting
M T Kala, Shweta Jain, Abhay K. Singh, et al.
Cold Regions Science and Technology (2024), pp. 104411-104411
Closed Access
Undersampling Ensemble and Deep Learning - Based Landslide Susceptibility Mapping Method for Geological Hazard Warning
Yulong Fang, Chao Gan, Weihua Cao
2021 China Automation Congress (CAC) (2023), pp. 7296-7301
Closed Access
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