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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:

Development and application of a novel probabilistic back-analysis framework for geotechnical parameters in shield tunneling based on the surrogate model and Bayesian theory
Quansheng Liu, Yiming Lei, Xin Yin, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 9, pp. 4899-4921
Closed Access | Times Cited: 15

Showing 15 citing articles:

Real-time model updating and prediction of three-dimensional time-varying consolidation settlement using machine learning
Hua-Ming Tian, Yu Wang, D. H. Zhang
Journal of Rock Mechanics and Geotechnical Engineering (2025)
Open Access | Times Cited: 1
An efficient Kriging-based calibration framework for FDEM
Yiming Lei, Quansheng Liu, Jiangtao Wen, et al.
Engineering Fracture Mechanics (2024) Vol. 296, pp. 109857-109857
Closed Access | Times Cited: 12
Probabilistic assessment of rockburst risk in TBM-excavated tunnels with multi-source data fusion
Xin Yin, Shouye Cheng, Honggan Yu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105915-105915
Closed Access | Times Cited: 11
A method for monitoring the uneven settlement of shield tunnels considering the flattening effect using distributed strain data measured from BOTDA sensors
Zheng Zhou, Xinteng Ma, Yang Liu, et al.
Structural Health Monitoring (2024) Vol. 24, Iss. 1, pp. 351-371
Closed Access | Times Cited: 5
Bayesian updating of geotechnical parameters with polynomial chaos Kriging model and Gibbs sampling
Wenhao Zhang, M. Hesham El Naggar, Pinghe Ni, et al.
Computers and Geotechnics (2025) Vol. 180, pp. 107087-107087
Closed Access
Scaled boundary finite element model-based Bayesian updating for subseabed shield tunnels utilizing distributed strain data
Fengyuan Yang, Minghao Li, Xinyue Su, et al.
Ocean Engineering (2025) Vol. 323, pp. 120524-120524
Closed Access
Transfer Learning-Based Coupling of Smoothed Finite Element Method and Physics-Informed Neural Network for Solving Elastoplastic Inverse Problems
Meijun Zhou, Gang Mei
Mathematics (2023) Vol. 11, Iss. 11, pp. 2529-2529
Open Access | Times Cited: 8
Probabilistic Back Analysis Based on Nadam, Bayesian, and Matrix-Variate Deep Gaussian Process for Rock Tunnels
Kai Chen, Andrés Alfonso Peña Olarte
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 11, pp. 9739-9758
Closed Access | Times Cited: 2
The novel graph transformer-based surrogate model for learning physical systems
Bo Feng, Xiaoping Zhou
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 432, pp. 117410-117410
Closed Access | Times Cited: 2
Microseismic Data-Driven Short-Term Rockburst Evaluation in Underground Engineering with Strategic Data Augmentation and Extremely Randomized Forest
Shouye Cheng, Xin Yin, Feng Gao, et al.
Mathematics (2024) Vol. 12, Iss. 22, pp. 3502-3502
Open Access | Times Cited: 2
Surrounding Rock Squeezing Classification in Underground Engineering Using a Hybrid Paradigm of Generative Artificial Intelligence and Deep Ensemble Learning
Shouye Cheng, Xin Yin, Feng Gao, et al.
Mathematics (2024) Vol. 12, Iss. 23, pp. 3832-3832
Open Access | Times Cited: 1
Back analysis of geomechanical parameters based on a data augmentation algorithm and machine learning technique
Hui Li, Weizhong Chen, Xianjun Tan
Underground Space (2024)
Open Access
A synthetic study of cracking behavior and fracture mechanism of sandstone containing two non-connected fissures under uniaxial compression
Wenqiang Ma, Yingbiao Ma
Computational Particle Mechanics (2024)
Closed Access
Probabilistic back analysis for landslide susceptibility assessment in data-scarce regions using a Bayesian approach
In-Tak Hwang, Jung-Hyun Lee, Ananta Man Singh Pradhan, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access
Probabilistic Back Analysis for Improving Landslide Susceptibility Assessment Using Markov Chain Monte Carlo Simulation
In-Tak Hwang, Jung‐Hyun Lee, Ananta Man Singh Pradhan, et al.
(2023)
Closed Access
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