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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:

Bagging based Support Vector Machines for spatial prediction of landslides
Binh Thai Pham, Dieu Tien Bui, Indra Prakash
Environmental Earth Sciences (2018) Vol. 77, Iss. 4
Closed Access | Times Cited: 132

Showing 26-50 of 132 citing articles:

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
GIS-Based Evaluation of Landslide Susceptibility Models Using Certainty Factors and Functional Trees-Based Ensemble Techniques
Xia Zhao, Wei Chen
Applied Sciences (2019) Vol. 10, Iss. 1, pp. 16-16
Open Access | Times Cited: 90
Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier
Binh Thai Pham, Indra Prakash, Abolfazl Jaafari, et al.
Journal of the Indian Society of Remote Sensing (2018) Vol. 46, Iss. 9, pp. 1457-1470
Closed Access | Times Cited: 89
Combining Evolutionary Algorithms and Machine Learning Models in Landslide Susceptibility Assessments
Wei Chen, Yunzhi Chen, Paraskevas Tsangaratos, et al.
Remote Sensing (2020) Vol. 12, Iss. 23, pp. 3854-3854
Open Access | Times Cited: 86
Novel hybrids of adaptive neuro-fuzzy inference system (ANFIS) with several metaheuristic algorithms for spatial susceptibility assessment of seismic-induced landslide
Hossein Moayedi, Mohammad Mehrabi, Bahareh Kalantar, et al.
Geomatics Natural Hazards and Risk (2019) Vol. 10, Iss. 1, pp. 1879-1911
Open Access | Times Cited: 85
The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes
Hossein Moayedi, Dieu Tien Bui, Mesut Gör, et al.
ISPRS International Journal of Geo-Information (2019) Vol. 8, Iss. 9, pp. 391-391
Open Access | Times Cited: 84
Application of logistic regression (LR) and frequency ratio (FR) models for landslide susceptibility mapping in Relli Khola river basin of Darjeeling Himalaya, India
Goutam Das, Kabita Lepcha
SN Applied Sciences (2019) Vol. 1, Iss. 11
Open Access | Times Cited: 81
Application of rotation forest with decision trees as base classifier and a novel ensemble model in spatial modeling of groundwater potential
Seyed Amir Naghibi, Mojtaba Dolatkordestani, Ashkan Rezaei, et al.
Environmental Monitoring and Assessment (2019) Vol. 191, Iss. 4
Closed Access | Times Cited: 78
Bedload transport rate prediction: Application of novel hybrid data mining techniques
Khabat Khosravi, James R. Cooper, Prasad Daggupati, et al.
Journal of Hydrology (2020) Vol. 585, pp. 124774-124774
Closed Access | Times Cited: 78
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
Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy)
Sansar Raj Meena, Silvia Puliero, Kushanav Bhuyan, et al.
Natural hazards and earth system sciences (2022) Vol. 22, Iss. 4, pp. 1395-1417
Open Access | Times Cited: 48
A Parallel-Cascaded Ensemble of Machine Learning Models for Crop Type Classification in Google Earth Engine Using Multi-Temporal Sentinel-1/2 and Landsat-8/9 Remote Sensing Data
Esmaeil Abdali, Mohammad Javad Valadan Zoej, Alireza Taheri Dehkordi, et al.
Remote Sensing (2023) Vol. 16, Iss. 1, pp. 127-127
Open Access | Times Cited: 36
Impacts of Resampling and Downscaling Digital Elevation Model and Its Morphometric Factors: A Comparison of Hopfield Neural Network, Bilinear, Bicubic, and Kriging Interpolations
Quang Minh Nguyen, Nguyễn Thị Thu Hương, Pham Quoc Khanh, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 819-819
Open Access | Times Cited: 10
Enhancing the accuracy of rainfall-induced landslide prediction along mountain roads with a GIS-based random forest classifier
Viet-Hung Dang, Tien Bui Dieu, Xuan-Linh Tran, et al.
Bulletin of Engineering Geology and the Environment (2018) Vol. 78, Iss. 4, pp. 2835-2849
Closed Access | Times Cited: 74
Image Processing-Based Pitting Corrosion Detection Using Metaheuristic Optimized Multilevel Image Thresholding and Machine-Learning Approaches
Nhat‐Duc Hoang
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-19
Open Access | Times Cited: 62
The performance of six neural-evolutionary classification techniques combined with multi-layer perception in two-layered cohesive slope stability analysis and failure recognition
Chao Yuan, Hossein Moayedi
Engineering With Computers (2019) Vol. 36, Iss. 4, pp. 1705-1714
Closed Access | Times Cited: 57
Unsupervised Feature Learning to Improve Transferability of Landslide Susceptibility Representations
Qing Zhu, Li Chen, Han Hu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 3917-3930
Open Access | Times Cited: 51
A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning
Nhat‐Duc Hoang, Thanh‐Canh Huynh, Xuan-Linh Tran, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 35
Hybrid meta-heuristic machine learning methods applied to landslide susceptibility mapping in the Sahel-Algiers
Mohammed Amin‎ Benbouras
International Journal of Sediment Research (2022) Vol. 37, Iss. 5, pp. 601-618
Closed Access | Times Cited: 31
Optimization of SVR functions for flyrock evaluation in mine blasting operations
Jiandong Huang, Junhua Xue
Environmental Earth Sciences (2022) Vol. 81, Iss. 17
Closed Access | Times Cited: 31
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
Comparative analysis of five convolutional neural networks for landslide susceptibility assessment
Yunfeng Ge, Geng Liu, Huiming Tang, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 10
Closed Access | Times Cited: 18
A comparative analysis of statistical landslide susceptibility mapping in the southeast region of Minas Gerais state, Brazil
César Falcão Barella, Frederico Garcia Sobreira, José Luı́s Zêzere
Bulletin of Engineering Geology and the Environment (2018) Vol. 78, Iss. 5, pp. 3205-3221
Closed Access | Times Cited: 53
Landslide Susceptibility Mapping for the Muchuan County (China): A Comparison Between Bivariate Statistical Models (WoE, EBF, and IoE) and Their Ensembles with Logistic Regression
Renwei Li, Nianqin Wang
Symmetry (2019) Vol. 11, Iss. 6, pp. 762-762
Open Access | Times Cited: 53
Predicting the blast-induced vibration velocity using a bagged support vector regression optimized with firefly algorithm
Xiaohua Ding, Mahdi Hasanipanah, Hima Nikafshan Rad, et al.
Engineering With Computers (2020) Vol. 37, Iss. 3, pp. 2273-2284
Closed Access | Times Cited: 49

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