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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 Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping
Binh Thai Pham, Haï-Bang Ly, Wei Chen, et al.
Sustainability (2019) Vol. 11, Iss. 22, pp. 6323-6323
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

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
Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey
Moziihrii Ado, Khwairakpam Amitab, Arnab Kumar Maji, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3029-3029
Open Access | Times Cited: 109
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
Dynamic development of landslide susceptibility based on slope unit and deep neural networks
Hua Ye, Xianmin Wang, LI Yong-wei, et al.
Landslides (2020) Vol. 18, Iss. 1, pp. 281-302
Closed Access | Times Cited: 99
A Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and Machine Learning Cluster: A Case of Xiaojin County, China
Wei Xie, Xiaoshuang Li, Wenbin Jian, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 2, pp. 93-93
Open Access | Times Cited: 91
Comparative analysis of multiple conventional neural networks for landslide susceptibility mapping
Bilal Aslam, Adeel Zafar, Umer Khalil
Natural Hazards (2022) Vol. 115, Iss. 1, pp. 673-707
Closed Access | Times Cited: 51
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
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
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
A Landslide Susceptibility Evaluation of Highway Disasters Based on the Frequency Ratio Coupling Model
Huadan Fan, Yuefeng Lu, Yulong Hu, et al.
Sustainability (2022) Vol. 14, Iss. 13, pp. 7740-7740
Open Access | Times Cited: 34
Evaluation of Geological Hazard Susceptibility Based on the Regional Division Information Value Method
Jingru Ma, Xiaodong Wang, Yuan Guang-xiang
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 1, pp. 17-17
Open Access | Times Cited: 18
Machine Learning-Based and 3D Kinematic Models for Rockfall Hazard Assessment Using LiDAR Data and GIS
Ali Mutar Fanos, Biswajeet Pradhan, Abdullah Alamri, et al.
Remote Sensing (2020) Vol. 12, Iss. 11, pp. 1755-1755
Open Access | Times Cited: 41
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
Application of Naive Bayes, kernel logistic regression and alternation decision tree for landslide susceptibility mapping in Pengyang County, China
Hui Shang, Sihang Liu, Jiaxin Zhong, et al.
Natural Hazards (2024) Vol. 120, Iss. 13, pp. 12043-12079
Closed Access | Times Cited: 5
Assessing, mapping, and optimizing the locations of sediment control check dams construction
Hamid Reza Pourghasemi, Saleh Yousefi, Nitheshnirmal Sãdhasivam, et al.
The Science of The Total Environment (2020) Vol. 739, pp. 139954-139954
Closed Access | Times Cited: 35
Comparing Convolutional Neural Network and Machine Learning Models in Landslide Susceptibility Mapping: A Case Study in Wenchuan County
Sikui Zhang, Lin Bai, Yuanwei Li, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 21
Delineation of groundwater prospective zones using multivariate and spatial analysis techniques in Henan Province North China Plain
Rabia Dars, Jianhua Ping, Xuemei Mei, et al.
Applied Water Science (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 4
Mechanics and modelling approaches of rockfall: a comprehensive review for hazard mitigation in hill roads
Shreya Maheshwari, Riya Bhowmik, Manojit Samanta
Arabian Journal of Geosciences (2025) Vol. 18, Iss. 2
Closed Access
Indispensable factors in landslide susceptibility modeling: the critical role of slope unit quantity-sensitivity
Rui Liu, Jiale Han, J.B. Gou, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Assessment of groundwater potential in the Khenifra-Azrou basin, Central Massif, Morocco using frequency ratio and Shannon's entropy approaches
Anouar Taibou, Halima Jounaid, Jalal Moustadraf, et al.
Scientific African (2025), pp. e02616-e02616
Open Access
Prediction of Shear Strength of Soil Using Direct Shear Test and Support Vector Machine Model
Haï-Bang Ly, Binh Thai Pham
The Open Construction and Building Technology Journal (2020) Vol. 14, Iss. 1, pp. 268-277
Open Access | Times Cited: 24
Landslide susceptibility mapping by attentional factorization machines considering feature interactions
Leilei Liu, Can Yang, Faming Huang, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 1837-1861
Open Access | Times Cited: 23
Prediction of Shear Strength of Soil Using Direct Shear Test and Support Vector Machine Model
Haï-Bang Ly, Binh Thai Pham
The Open Construction and Building Technology Journal (2020) Vol. 14, Iss. 1, pp. 41-50
Open Access | Times Cited: 23
Spatial prediction of landslides along National Highway-6, Hoa Binh province, Vietnam using novel hybrid models
Hang Ha, Tung Hoang, Pham Duy Hoa, et al.
Geocarto International (2021) Vol. 37, Iss. 18, pp. 5201-5226
Closed Access | Times Cited: 19
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