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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:

Advanced hyperparameter optimization for improved spatial prediction of shallow landslides using extreme gradient boosting (XGBoost)
Taşkın Kavzoğlu, Alihan Teke
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Performance analysis of the water quality index model for predicting water state using machine learning techniques
Md Galal Uddin, Stephen Nash, Azizur Rahman, et al.
Process Safety and Environmental Protection (2022) Vol. 169, pp. 808-828
Open Access | Times Cited: 162
Interpretable machine learning for predicting the strength of 3D printed fiber-reinforced concrete (3DP-FRC)
Md Nasir Uddin, Junhong Ye, Bo-Yu Deng, et al.
Journal of Building Engineering (2023) Vol. 72, pp. 106648-106648
Closed Access | Times Cited: 48
Explainable machine learning (XML) framework for seismic assessment of structures using Extreme Gradient Boosting (XGBoost)
Masoum M. Gharagoz, Mohamed Noureldin, Jinkoo Kim
Engineering Structures (2025) Vol. 327, pp. 119621-119621
Open Access | Times Cited: 5
Predicting Penetration Depth in Ultra-High-Performance Concrete Targets under Ballistic Impact: An Interpretable Machine Learning Approach Augmented by Deep Generative Adversarial Network
Majid Khan, Muhammad Faisal Javed, Nashwan Adnan Othman, et al.
Results in Engineering (2025), pp. 103909-103909
Open Access | Times Cited: 3
Modified Genetic Algorithm for Feature Selection and Hyper Parameter Optimization: Case of XGBoost in Spam Prediction
Nazeeh Ghatasheh, Ismail Al-Taharwa, Khaled Aldebei
IEEE Access (2022) Vol. 10, pp. 84365-84383
Open Access | Times Cited: 39
Soft computing for determining base resistance of super-long piles in soft soil: A coupled SPBO-XGBoost approach
Tan Nguyen, Duy-Khuong Ly, Quoc Thien Huynh, et al.
Computers and Geotechnics (2023) Vol. 162, pp. 105707-105707
Closed Access | Times Cited: 35
Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach
Muzaffer Can İban, Süleyman Sefa Bilgilioğlu
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 6, pp. 2243-2270
Closed Access | Times Cited: 34
Rapid Landslide Extraction from High-Resolution Remote Sensing Images Using SHAP-OPT-XGBoost
Na Lin, Di Zhang, Shanshan Feng, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3901-3901
Open Access | Times Cited: 25
Prediction of compressive strength and tensile strain of engineered cementitious composite using machine learning
Md Nasir Uddin, N. Shanmugasundaram, S. Praveenkumar, et al.
International Journal of Mechanics and Materials in Design (2024) Vol. 20, Iss. 4, pp. 671-716
Closed Access | Times Cited: 15
Interactive effects of hyperparameter optimization techniques and data characteristics on the performance of machine learning algorithms for building energy metamodeling
Binghui Si, Zhenyu Ni, Jiacheng Xu, et al.
Case Studies in Thermal Engineering (2024) Vol. 55, pp. 104124-104124
Open Access | Times Cited: 13
Sustainable groundwater management in coastal cities: Insights from groundwater potential and vulnerability using ensemble learning and knowledge-driven models
P. M. Huang, Mengyao Hou, Tong Sun, et al.
Journal of Cleaner Production (2024) Vol. 442, pp. 141152-141152
Closed Access | Times Cited: 12
Enhancing the exploitation of natural resources for green energy: An application of LSTM-based meta-model for aluminum prices forecasting
Moses Olabhele Esangbedo, Blessing Olamide Taiwo, Hawraa H. Abbas, et al.
Resources Policy (2024) Vol. 92, pp. 105014-105014
Closed Access | Times Cited: 12
Fostering sustainable mining practices in rock blasting: Assessment of blast toe volume prediction using comparative analysis of hybrid ensemble machine learning techniques
Esma Kahraman, Shahab Hosseini, Blessing Olamide Taiwo, et al.
Journal of Safety and Sustainability (2024) Vol. 1, Iss. 2, pp. 75-88
Open Access | Times Cited: 12
Exploring the spatial patterns of landslide susceptibility assessment using interpretable Shapley method: Mechanisms of landslide formation in the Sichuan-Tibet region
Jichao Lv, Rui Zhang, Age Shama, et al.
Journal of Environmental Management (2024) Vol. 366, pp. 121921-121921
Closed Access | Times Cited: 12
Optimization of SVR and CatBoost models using metaheuristic algorithms to assess landslide susceptibility
R. S. Ajin, Samuele Segoni, Riccardo Fanti
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Landslide susceptibility mapping (LSM) based on different boosting and hyperparameter optimization algorithms: A case of Wanzhou District, China
Deliang Sun, Jing Wang, Haijia Wen, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 8, pp. 3221-3232
Open Access | Times Cited: 10
Integrating a multi-dimensional deep convolutional neural network with optimized sample selection for landslide susceptibility assessment
Yueyue Wang, Xueling Wu, Kun Zou, et al.
Geo-spatial Information Science (2025), pp. 1-21
Open Access | Times Cited: 1
Spatiotemporal variation and driving factors of vegetation net primary productivity in the Guanzhong Plain Urban Agglomeration, China from 2001 to 2020
Yuke Liu, Chenlu Huang, Chun Yang, et al.
Journal of Arid Land (2025) Vol. 17, Iss. 1, pp. 74-92
Closed Access | Times Cited: 1
Landslide susceptibility mapping using artificial intelligence models: a case study in the Himalayas
Muhammad Afaq Hussain, Zhanlong Chen, Yulong Zhou, et al.
Landslides (2025)
Closed Access | Times Cited: 1
Machine learning for screw design in single‐screw extrusion
Nickolas D. Polychronopoulos, Konstantinos Moustris, Theodoros E. Karakasidis, et al.
Polymer Engineering and Science (2025)
Open Access | Times Cited: 1
A comparative study of regional landslide susceptibility mapping with multiple machine learning models
Yunhao Wang, Luqi Wang, Songlin Liu, et al.
Geological Journal (2023) Vol. 59, Iss. 9, pp. 2383-2400
Closed Access | Times Cited: 19
Predicting load–displacement of driven PHC pipe piles using stacking ensemble with Pareto optimization
Tram Bui-Ngoc, Tan Nguyen, Minh-The Nguyen-Quang, et al.
Engineering Structures (2024) Vol. 316, pp. 118574-118574
Closed Access | Times Cited: 8
A physics-informed machine learning solution for landslide susceptibility mapping based on three-dimensional slope stability evaluation
Yunhao Wang, Luqi Wang, Wengang Zhang, et al.
Journal of Central South University (2024)
Closed Access | Times Cited: 8
Population amount risk assessment of extreme precipitation-induced landslides based on integrated machine learning model and scenario simulation
Guangzhi Rong, Kaiwei Li, Zhijun Tong, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 3, pp. 101541-101541
Open Access | Times Cited: 16
Exploring the decision-making process of ensemble learning algorithms in landslide susceptibility mapping: Insights from local and global explainable AI analyses
Alihan Teke, Taşkın Kavzoğlu
Advances in Space Research (2024) Vol. 74, Iss. 8, pp. 3765-3785
Closed Access | Times Cited: 6
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