Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Detection of areas prone to flood-induced landslides risk using certainty factor and its hybridization with FAHP, XGBoost and deep learning neural network
Romulus Costache, Sk Ajim Ali, Farhana Parvin, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 7303-7338
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review
Huchang Liao, Yangpeipei He, Xueyao Wu, et al.
Information Fusion (2023) Vol. 100, pp. 101970-101970
Closed Access | Times Cited: 36
Deciphering decision-making mechanisms for the susceptibility of different slope geohazards: A case study on a SMOTE-RF-SHAP hybrid model
Junhao Huang, Haijia Wen, Jiwei Hu, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 12
Flood risk assessment of urban metro system using random forest algorithm and triangular fuzzy number based analytical hierarchy process approach
Xinjian Guan, Fengjiao Yu, Hongshi Xu, et al.
Sustainable Cities and Society (2024) Vol. 109, pp. 105546-105546
Closed Access | Times Cited: 11
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: 35
National-scale flood risk assessment using GIS and remote sensing-based hybridized deep neural network and fuzzy analytic hierarchy process models: a case of Bangladesh
Zakaria Shams Siam, Rubyat Tasnuva Hasan, Soumik Sarker Anik, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 12119-12148
Open Access | Times Cited: 30
An Efficient User-Friendly Integration Tool for Landslide Susceptibility Mapping Based on Support Vector Machines: SVM-LSM Toolbox
Wubiao Huang, Mingtao Ding, Zhenhong Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3408-3408
Open Access | Times Cited: 30
Characterization and Evaluation of Bamboo Species for Construction Applications Incorporating TOPSIS, AHP and VIKOR
Amit Sain, Arun Gaur, Prakash Somani, et al.
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 10, pp. 13915-13931
Closed Access | Times Cited: 7
Flood vulnerability and buildings’ flood exposure assessment in a densely urbanised city: comparative analysis of three scenarios using a neural network approach
Quoc Bao Pham, Sk Ajim Ali, Elżbieta Bielecka, et al.
Natural Hazards (2022) Vol. 113, Iss. 2, pp. 1043-1081
Closed Access | Times Cited: 25
The development of a road network flood risk detection model using optimised ensemble learning
Bilal Abu-Salih, Pornpit Wongthongtham, Kevin Coutinho, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106081-106081
Closed Access | Times Cited: 15
Rockfall susceptibility mapping using XGBoost model by hybrid optimized factor screening and hyperparameter
Haijia Wen, Jiwei Hu, Jialan Zhang, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 16872-16899
Closed Access | Times Cited: 19
Influencing Factors and Risk Assessment of Precipitation-Induced Flooding in Zhengzhou, China, Based on Random Forest and XGBoost Algorithms
Xun Liu, Peng Zhou, Yi-Chen Lin, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 24, pp. 16544-16544
Open Access | Times Cited: 19
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
Progress and landscape of disaster science: Insights from computational analyses
Maziar Yazdani, Martin Loosemore, Mohammad Mojtahedi, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 108, pp. 104536-104536
Open Access | Times Cited: 2
Optimization of Highway Performance and Safety by Integrated Multi-Criteria Decision-Making Techniques
Jeetendra Singh Khichad, Rameshwar J. Vishwakarma, Arun Gaur, et al.
International Journal of Pavement Research and Technology (2024)
Closed Access | Times Cited: 2
Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis
Shilong Yang, Jiayao Tan, Danyuan Luo, et al.
Computers & Geosciences (2024), pp. 105723-105723
Closed Access | Times Cited: 2
Modern Techniques for Flood Susceptibility Estimation across the Deltaic Region (Danube Delta) from the Black Sea’s Romanian Sector
Anca Crăciun, Romulus Costache, Alina Bărbulescu, et al.
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 8, pp. 1149-1149
Open Access | Times Cited: 11
Mass movement susceptibility prediction and infrastructural risk assessment (IRA) using GIS-based Meta classification algorithms
Sk Ajim Ali, Meriame Mohajane, Farhana Parvin, et al.
Applied Soft Computing (2023) Vol. 145, pp. 110591-110591
Closed Access | Times Cited: 5
Evaluation and analysis of statistical and coupling models for highway landslide susceptibility
Huadan Fan, Yuefeng Lu, Shiwei Shao, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Multihazard Assessment of the Sutlej-Beas River Basin Using Bivariate Statistical Frequency Ratio (FR) Model and Management Barriers of Land-River Interface
Sufia Rehman, Adani Azhoni
Environmental Modeling & Assessment (2023) Vol. 28, Iss. 4, pp. 673-692
Closed Access | Times Cited: 5
Groundwater potential zoning using Logistics Model Trees based novel ensemble machine learning model
Bien Tran Xuan, Trinh Pham The, Duong Luu Thuy, et al.
VIETNAM JOURNAL OF EARTH SCIENCES (2024)
Open Access | Times Cited: 1
Solving flood problems with deep learning technology: Research status, strategies, and future directions
Hongyang Li, Mingxin Zhu, Fangxin Li, et al.
Sustainable Development (2024)
Closed Access | Times Cited: 1
Landslide Susceptibility Assessment in Yulong County Using Contribution Degree Clustering Method and Stacking Ensemble Coupled Model Based on Certainty Factor
Yang Qin, Zhifang Zhao, Dingyi Zhou, et al.
Remote Sensing (2024) Vol. 16, Iss. 19, pp. 3582-3582
Open Access | Times Cited: 1
Landslide susceptibility evaluation in the mountainous terrain of the Zagros fold-thrust belt: a case study from Kurdistan, Northern Iraq
Jamal A. H. Doski
Natural Hazards (2024)
Closed Access | Times Cited: 1
Ecosystem restoration reduces community vulnerability to water-induced disasters: Need to rethink Chure conservation in Nepal
Prakash Kumar Paudel, Arjun Lamichhane, Krishna Prasad Acharya, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 90, pp. 103647-103647
Closed Access | Times Cited: 4
Explainable Machine Learning Model for Rockfall Susceptibility Evaluation
Haijia Wen, Jiwei Hu, Jialan Zhang, et al.
Geo-Risk 2017 (2023), pp. 102-110
Closed Access | Times Cited: 3
Page 1 - Next Page

Scroll to top