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:

Investigation of feature contribution to shield tunneling-induced settlement using Shapley additive explanations method
K. K. Pabodha M. Kannangara, Wan‐Huan Zhou, Zhi Ding, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 4, pp. 1052-1063
Open Access | Times Cited: 94

Showing 26-50 of 94 citing articles:

Assessment of slurry chamber clogging alleviation during ultra-large-diameter slurry tunnel boring machine tunneling in hard-rock using computational fluid dynamics-discrete element method: A case study
Yidong Guo, Xinggao Li, Dalong Jin, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2025)
Open Access
A novel hybrid machine learning and explainable artificial intelligence approaches for improved source rock prediction and hydrocarbon potential in the Mandawa Basin, SE Tanzania
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
International Journal of Coal Geology (2025), pp. 104699-104699
Closed Access
Predicting energy absorption characteristic of rubber concrete materials
Xiancheng Mei, Jianhe Li, Jiamin Zhang, et al.
Construction and Building Materials (2025) Vol. 465, pp. 140248-140248
Closed Access
Integrating Multiple Linear Regression Analysis and Machine Learning Models to Predict the Bearing Capacity of Strip Footings on Sandy Clay Slopes
Lindung Zalbuin Mase, Rena Misliniyati, Nia Afriantialina Muharama, et al.
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 2
Closed Access
Intelligent prediction and optimization of ground settlement induced by shield tunneling construction
Dejun Liu, Wenpeng Zhang, Kang Duan, et al.
Tunnelling and Underground Space Technology (2025) Vol. 160, pp. 106486-106486
Closed Access
Enhancing flood prediction through remote sensing, machine learning, and Google Earth Engine
Sonia Hajji, Samira Krimissa, Kamal Abdelrahman, et al.
Frontiers in Water (2025) Vol. 7
Open Access
Interpretable CEEMDAN-SMA-LSSVM hybrid model for predicting shield tunnel-induced settlement
Shaoqiang Meng, Zhenming Shi, Marte Gutierrez
Journal of Rock Mechanics and Geotechnical Engineering (2025)
Open Access
Shield tunneling efficiency and stability enhancement based on interpretable machine learning and multi-objective optimization
Wenli Liu, Yang Chen, Tianxiang Liu, et al.
Underground Space (2025)
Open Access
Significance and formulation of ground loss in tunneling-induced settlement prediction: a data-driven study
Yuhao Ren, Chao Zhang, Minxiang Zhu, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 9, pp. 4941-4956
Closed Access | Times Cited: 12
Tunnelling-induced ground surface settlement: A comprehensive review with particular attention to artificial intelligence technologies
Gang Niu, Xuzhen He, Haoding Xu, et al.
Natural Hazards Research (2023) Vol. 4, Iss. 1, pp. 148-168
Open Access | Times Cited: 10
An efficient physics-guided Bayesian framework for predicting ground settlement profile during excavations in clay
Cong Tang, Shu‐Yu He, Wan‐Huan Zhou
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 4, pp. 1411-1424
Open Access | Times Cited: 3
Supervised intelligent prediction of shear strength of rockfill materials based on data driven and a case study
Chuanqi Li, Jiamin Zhang, Xiancheng Mei, et al.
Transportation Geotechnics (2024) Vol. 45, pp. 101229-101229
Closed Access | Times Cited: 3
Ground settlement and tunnel response due to twin-curved shield tunnelling in soft ground with small clear distance
Yao Hu, Haoran Tang, Yinggang Xu, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 8, pp. 3122-3135
Open Access | Times Cited: 3
Predicting Apple Tree Macronutrients Using Unmanned Aerial Vehicle-Based Hyperspectral Imagery to Manage Apple Orchard Nutrients
Ye-Seong Kang, Chanseok Ryu, Jung Gun Cho, et al.
Drones (2024) Vol. 8, Iss. 8, pp. 369-369
Open Access | Times Cited: 3
Prediction model for the compressive strength of rock based on stacking ensemble learning and shapley additive explanations
Luyuan Wu, Jianhui Li, Jianwei Zhang, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 11
Closed Access | Times Cited: 3
Machine-learning-assisted multi-objective optimization in vertical zone refining of ultra-high purity indium
Zhongwen Shang, Zhengheng Lian, Minjie Li, et al.
Separation and Purification Technology (2022) Vol. 305, pp. 122430-122430
Closed Access | Times Cited: 14
Mathematical model for approximating shield tunneling-induced surface settlement via multi-gene genetic programming
Zhi-Liang Cheng, K. K. Pabodha M. Kannangara, Lijun Su, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 9, pp. 4923-4940
Closed Access | Times Cited: 8
PSO-based Machine Learning Methods for Predicting Ground Surface Displacement Induced by Shallow Underground Excavation Method
Fanchao Kong, Tao Tian, Dechun Lu, et al.
KSCE Journal of Civil Engineering (2023) Vol. 27, Iss. 11, pp. 4948-4961
Closed Access | Times Cited: 8
Intelligent Prediction of Maximum Ground Settlement Induced by EPB Shield Tunneling Using Automated Machine Learning Techniques
Syed Mujtaba Hussaine, Linlong Mu
Mathematics (2022) Vol. 10, Iss. 24, pp. 4637-4637
Open Access | Times Cited: 13
Prediction method of longitudinal surface settlement caused by double shield tunnelling based on deep learning
Wentao Shang, Yan Li, Huanwei Wei, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Enhancing clay content estimation through hybrid CatBoost-GP with model class selection
Weihang Chen, Xing Wan, Jianwen Ding, et al.
Transportation Geotechnics (2024) Vol. 45, pp. 101232-101232
Closed Access | Times Cited: 2
Migration time prediction and assessment of toxic fumes under forced ventilation in underground mines
J. Zhang, Tingting Zhang, Chuanqi Li
Underground Space (2024) Vol. 18, pp. 273-294
Open Access | Times Cited: 2
Interpretable machine learning for selection of site-specific soil constitutive models and consolidation settlement analysis
Hua-Ming Tian, Yu Wang
Computers and Geotechnics (2024) Vol. 171, pp. 106396-106396
Closed Access | Times Cited: 2
Predicting Maximum Settlement Induced by EPB Shield Tunneling Through Image Processing and an Intelligent Approach
Mehdi Yazdanparast, Hossein Ayyab Koushkgozar, Jafar Hassanpour, et al.
KSCE Journal of Civil Engineering (2024) Vol. 28, Iss. 9, pp. 4076-4087
Closed Access | Times Cited: 2
Identifying Factors Influencing Surface Deformations from Underground Mining Using SAR Data, Machine Learning, and the SHAP Method
Konrad Cieślik, Wojciech Milczarek, Ewa Warchała, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2428-2428
Open Access | Times Cited: 2

Scroll to top