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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:

GIS Based Novel Hybrid Computational Intelligence Models for Mapping Landslide Susceptibility: A Case Study at Da Lat City, Vietnam
Viet-Tien Nguyen, Trong Hien Tran, Ngoc Ha, et al.
Sustainability (2019) Vol. 11, Iss. 24, pp. 7118-7118
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Flood susceptibility modelling using advanced ensemble machine learning models
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101075-101075
Open Access | Times Cited: 427
GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models
Wei Chen, Yang Li
CATENA (2020) Vol. 195, pp. 104777-104777
Closed Access | Times Cited: 204
Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping
Phong Tung Nguyen, Duong Hai Ha, Mohammadtaghi Avand, et al.
Applied Sciences (2020) Vol. 10, Iss. 7, pp. 2469-2469
Open Access | Times Cited: 155
Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping
Binh Thai Pham, T. Nguyen‐Thoi, Chongchong Qi, et al.
CATENA (2020) Vol. 195, pp. 104805-104805
Closed Access | Times Cited: 136
Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
Phong Tung Nguyen, Duong Hai Ha, Abolfazl Jaafari, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 7, pp. 2473-2473
Open Access | Times Cited: 125
Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer
Adel Zghibi, Ali Mirchi, Mohamed Haythem Msaddek, et al.
Water (2020) Vol. 12, Iss. 9, pp. 2525-2525
Open Access | Times Cited: 115
Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers
Binh Thai Pham, Tran Van Phong, T. Nguyen‐Thoi, et al.
Geocarto International (2020) Vol. 37, Iss. 3, pp. 735-757
Closed Access | Times Cited: 92
Investigation and Optimization of the C-ANN Structure in Predicting the Compressive Strength of Foamed Concrete
Dong Van Dao, Haï-Bang Ly, Huong-Lan Thi Vu, et al.
Materials (2020) Vol. 13, Iss. 5, pp. 1072-1072
Open Access | Times Cited: 88
Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models
Rahim Barzegar, Siamak Razzagh, John Quilty, et al.
Journal of Hydrology (2021) Vol. 598, pp. 126370-126370
Open Access | Times Cited: 75
Landslide and Wildfire Susceptibility Assessment in Southeast Asia Using Ensemble Machine Learning Methods
Qian He, Ziyu Jiang, Ming Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1572-1572
Open Access | Times Cited: 64
Assessment of the interpretability of data mining for the spatial modelling of water erosion using game theory
Aliakbar Mohammadifar, Hamid Gholami, Jesús Rodrigo‐Comino, et al.
CATENA (2021) Vol. 200, pp. 105178-105178
Closed Access | Times Cited: 60
An ensemble random forest tree with SVM, ANN, NBT, and LMT for landslide susceptibility mapping in the Rangit River watershed, India
Sk Ajim Ali, Farhana Parvin, Quoc Bao Pham, et al.
Natural Hazards (2022) Vol. 113, Iss. 3, pp. 1601-1633
Closed Access | Times Cited: 40
Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan
Nafees Ali, Jian Chen, Xiaodong Fu, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 988-988
Open Access | Times Cited: 17
Multi-scale convolutional neural networks (CNNs) for landslide inventory mapping from remote sensing imagery and landslide susceptibility mapping (LSM)
Baoyi Zhang, Jiacheng Tang, Yuke Huan, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Rainfall induced landslide susceptibility mapping using novel hybrid soft computing methods based on multi-layer perceptron neural network classifier
Mehebub Sahana, Binh Thai Pham, Manas Shukla, et al.
Geocarto International (2020) Vol. 37, Iss. 10, pp. 2747-2771
Closed Access | Times Cited: 56
AutoGluon: A revolutionary framework for landslide hazard analysis
Wenwen Qi, Chong Xu, Xiwei Xu
Natural Hazards Research (2021) Vol. 1, Iss. 3, pp. 103-108
Open Access | Times Cited: 54
Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling
Phong Tung Nguyen, Duong Hai Ha, Huu Duy Nguyen, et al.
Sustainability (2020) Vol. 12, Iss. 7, pp. 2622-2622
Open Access | Times Cited: 53
Integration of shannon entropy (SE), frequency ratio (FR) and analytical hierarchy process (AHP) in GIS for suitable groundwater potential zones targeting in the Yoyo river basin, Méiganga area, Adamawa Cameroon
Bidichael Wahile Wassouo Elvis, Arsène Meying, Théophile Ndougsa Mbarga, et al.
Journal of Hydrology Regional Studies (2022) Vol. 39, pp. 100997-100997
Open Access | Times Cited: 37
Stacking ensemble of machine learning methods for landslide susceptibility mapping in Zhangjiajie City, Hunan Province, China
Yuke Huan, Lei Song, Umair Khan, et al.
Environmental Earth Sciences (2022) Vol. 82, Iss. 1
Open Access | Times Cited: 31
Landslide Susceptibility Evaluation of Machine Learning Based on Information Volume and Frequency Ratio: A Case Study of Weixin County, China
Wancai He, Guoping Chen, Junsan Zhao, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2549-2549
Open Access | Times Cited: 17
Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides
Binh Thai Pham, Abolfazl Jaafari, T. Nguyen‐Thoi, et al.
International Journal of Digital Earth (2020) Vol. 14, Iss. 5, pp. 575-596
Closed Access | Times Cited: 48
Novel Ensemble Landslide Predictive Models Based on the Hyperpipes Algorithm: A Case Study in the Nam Dam Commune, Vietnam
Quoc Cuong Tran, Duc Do Minh, Abolfazl Jaafari, et al.
Applied Sciences (2020) Vol. 10, Iss. 11, pp. 3710-3710
Open Access | Times Cited: 46
GIS-based ensemble soft computing models for landslide susceptibility mapping
Binh Thai Pham, Tran Van Phong, T. Nguyen‐Thoi, et al.
Advances in Space Research (2020) Vol. 66, Iss. 6, pp. 1303-1320
Closed Access | Times Cited: 43
Landslide susceptibility mapping using state-of-the-art machine learning ensembles
Binh Thai Pham, Vu Duy Vinh, Romulus Costache, et al.
Geocarto International (2021) Vol. 37, Iss. 18, pp. 5175-5200
Closed Access | Times Cited: 35
Investigation of ANN architecture for predicting shear strength of fiber reinforcement bars concrete beams
Quang Hung Nguyen, Haï-Bang Ly, Thuy‐Anh Nguyen, et al.
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0247391-e0247391
Open Access | Times Cited: 34
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