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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:

Real-time hard-rock tunnel prediction model for rock mass classification using CatBoost integrated with Sequential Model-Based Optimization
Yin Bo, Quansheng Liu, Xing Huang, et al.
Tunnelling and Underground Space Technology (2022) Vol. 124, pp. 104448-104448
Closed Access | Times Cited: 81

Showing 26-50 of 81 citing articles:

Real-time forecasting of TBM cutterhead torque and thrust force using aware-context recurrent neural networks
Feng Shan, Xuzhen He, Danial Jahed Armaghani, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105906-105906
Open Access | Times Cited: 4
Interpretable model for rockburst intensity prediction based on Shapley values-based Optuna-random forest
Yaxi Shen, Shunchuan Wu, Yongbing Wang, et al.
Underground Space (2024)
Open Access | Times Cited: 4
Probability analysis on tunnels in heterogeneous strata based on borehole data-driven conditional random fields and convolutional neural network
Gaoyu Ma, Chuan He, Zhengshu He, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106402-106402
Closed Access
A Novel Approach for Production Allocation in Multi-Layer Oil Reservoirs Based on Machine Learning Combining Game Theory
Tianru Song, Weiyao Zhu, Qiang Chen, et al.
Geoenergy Science and Engineering (2025), pp. 213706-213706
Closed Access
Prediction of nonuniform large deformation in deep layered rock tunnels: Comprehensive application of data-driven and theoretical models
Tianxiang Song, Yangyi Zhou, Tao Chen, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106448-106448
Closed Access
Thrust force requirement prediction using HOA‐XGBoost for TBM tunneling in squeezing ground
Rongwen Chen, Minglin Zheng, Fulin Li, et al.
ce/papers (2025) Vol. 8, Iss. 2, pp. 1439-1447
Closed Access
Comparative Analysis of ANFIS and ANN Models for Automobile Mileage Prediction
A. Sasikala, D. Umamaheswari, S. Prabhu, et al.
Algorithms for intelligent systems (2025), pp. 421-436
Closed Access
Prediction model of TBM response parameters based on a hybrid drive of knowledge and data
Min Yao, Xu Li, Yuan-en Pang, et al.
Tunnelling and Underground Space Technology (2025) Vol. 161, pp. 106598-106598
Closed Access
Study of Cross-Project Prediction of Rock Mass Classification Based on Feature Fusion
Zi-kai Dong, Xu Li, Hongwei Yu, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 4
Closed Access
Probabilistic machine learning approach to predict incompetent rock masses in TBM construction
Wenkun Yang, Jian Zhao, Jianchun Li, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 9, pp. 4973-4991
Closed Access | Times Cited: 12
Time series clustering for TBM performance investigation using spatio-temporal complex networks
Yue Pan, Xiaojing Zhou, Shuigen Qiu, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120100-120100
Closed Access | Times Cited: 12
An ensemble learning with sequential model-based optimization approach for pavement roughness estimation using smartphone sensor data
Wangda Guo, Jinxi Zhang, Muhammed Murtaza, et al.
Construction and Building Materials (2023) Vol. 406, pp. 133293-133293
Closed Access | Times Cited: 10
Machine learning with SHapley additive exPlanations for evaluating mine truck productivity under real-site weather conditions at varying temporal resolutions
Chengkai Fan, Chathuranga Balasooriya Arachchilage, Na Zhang, et al.
International Journal of Mining Reclamation and Environment (2024) Vol. 38, Iss. 10, pp. 810-832
Closed Access | Times Cited: 3
Development of Ensemble Learning Techniques and Sequential Model-Based Optimization for Enhancing the Generalizability of Shale Wettability Predictions
Tianru Song, Zhu Weiyao, Bin Pan, et al.
Marine and Petroleum Geology (2024) Vol. 168, pp. 107010-107010
Closed Access | Times Cited: 3
Early-stage lifetime prediction for lithium-ion batteries: Linear regression - ensemble learning hybrid model based on impedance spectroscopy geometry
Shude Zhang, Weiru Yuan, Yingzhou Wang, et al.
Journal of Power Sources (2024) Vol. 617, pp. 235153-235153
Closed Access | Times Cited: 3
A Predictive Quality Inspection Framework for the Manufacturing Process in the Context of Industry 4.0
Stefan Rydzi, Barbora Zahradníková, Zuzana Šútova, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5644-5644
Open Access | Times Cited: 3
A Rock Mass Strength Prediction Method Integrating Wave Velocity and Operational Parameters Based on the Bayesian Optimization Catboost Algorithm
Y.R. Wang, Ruirui Wang, Jiwen Wang, et al.
KSCE Journal of Civil Engineering (2023) Vol. 27, Iss. 7, pp. 3148-3162
Closed Access | Times Cited: 7
Effect of Data Division on Classification Performance Model Prediction of Specified Compressive Strength Core Concrete Using Ultrasonic Pulse Velocity in Tandem with Machine Learning
Napoli Situmorang, Sofia W. Alisjahbana, Hery Riyanto, et al.
Mathematical Modelling and Engineering Problems (2024) Vol. 11, Iss. 2, pp. 430-438
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
Physics-informed and data-driven machine learning of rock mass classification using prior geological knowledge and TBM operational data
Chenhao Zhang, Yu Wang, Lei-jie Wu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105923-105923
Closed Access | Times Cited: 2
Combined PMF modelling and machine learning to identify sources and meteorological influencers of volatile organic compound pollution in an industrial city in eastern China
Wei Chen, Xuezhe Xu, Wenqing Liu
Atmospheric Environment (2024) Vol. 334, pp. 120714-120714
Closed Access | Times Cited: 2
Multi-objective prediction and optimization for soft abrasive rotary jet polishing inner surface
Zhao Jun, Fengqi Song, Cheng Fan
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 2
Artificial intelligence driven tunneling-induced surface settlement prediction
Ming Song, Minghui Yang, Guiqing Yao, et al.
Automation in Construction (2024) Vol. 168, pp. 105819-105819
Closed Access | Times Cited: 2
Regulation of the physicochemical properties of nutrient solution in hydroponic system based on the CatBoost model
Chilin Wei, Zhu Li, Zhu Delan, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109729-109729
Open Access | Times Cited: 2
Advanced machine learning techniques for predicting concrete mechanical properties: a comprehensive review of models and methodologies
Fangyuan Li, Md. Sohel Rana, Muhammad Ahmed Qurashi
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 2

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