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:

Finite element geotechnical analysis incorporating deep learning-based soil model
Qingzheng Guan, Z. X. Yang, Ning Guo, et al.
Computers and Geotechnics (2022) Vol. 154, pp. 105120-105120
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Deep active learning for constitutive modelling of granular materials: From representative volume elements to implicit finite element modelling
Tongming Qu, Shaoheng Guan, Y.T. Feng, et al.
International Journal of Plasticity (2023) Vol. 164, pp. 103576-103576
Open Access | Times Cited: 45

A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering
Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12655-12699
Open Access | Times Cited: 19

Application of Machine Learning for Real-Time Structural Integrity Assessment of Bridges
Sanduni Jayasinghe, Mojtaba Mahmoodian, Azadeh Alavi, et al.
CivilEng (2025) Vol. 6, Iss. 1, pp. 2-2
Open Access | Times Cited: 2

A review on the applications of artificial neural network techniques for accelerating finite element analysis in the civil engineering domain
Sanduni Jayasinghe, Mojtaba Mahmoodian, Azadeh Alavi, et al.
Computers & Structures (2025) Vol. 310, pp. 107698-107698
Open Access | Times Cited: 1

Data-driven multiscale modelling of granular materials via knowledge transfer and sharing
Tongming Qu, Jidong Zhao, Shaoheng Guan, et al.
International Journal of Plasticity (2023) Vol. 171, pp. 103786-103786
Closed Access | Times Cited: 23

Innovative digital twin with artificial neural networks for real-time monitoring of structural response: A port structure case study
Sanduni Jayasinghe, Mojtaba Mahmoodian, Amir Sidiq, et al.
Ocean Engineering (2024) Vol. 312, pp. 119187-119187
Open Access | Times Cited: 10

Digital geotechnics: from data-driven site characterisation towards digital transformation and intelligence in geotechnical engineering
Yu Wang, Hua-Ming Tian
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2023) Vol. 18, Iss. 1, pp. 8-32
Closed Access | Times Cited: 13

A neural network-based material cell for elastoplasticity and its performance in FE analyses of boundary value problems
Shaoheng Guan, Xue Zhang, Sascha Ranftl, et al.
International Journal of Plasticity (2023) Vol. 171, pp. 103811-103811
Open Access | Times Cited: 11

Leading-edge Artificial Intelligence (AI) and Internet of Things (IoT) technologies for enhanced geotechnical site characterization
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 10

Multi-parameter intelligent inverse analysis of a deep excavation considering path-dependent behavior of soils
Wenyuan Liu, Liyuan Tong, Hongjiang Li, et al.
Computers and Geotechnics (2024) Vol. 174, pp. 106597-106597
Closed Access | Times Cited: 3

Deep learning‐accelerated multiscale approach for granular material modeling
Qingzheng Guan, Z. X. Yang, Ning Guo, et al.
International Journal for Numerical and Analytical Methods in Geomechanics (2024) Vol. 48, Iss. 5, pp. 1372-1389
Closed Access | Times Cited: 3

Self-consistency Reinforced minimal Gated Recurrent Unit for surrogate modeling of history-dependent non-linear problems: Application to history-dependent homogenized response of heterogeneous materials
Ling Wu, Ludovic Noels
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 424, pp. 116881-116881
Closed Access | Times Cited: 2

Static and Dynamic Performance Analysis of Cable-Stayed Bridges with Cables Damaged Fire
Xi‐Long Zheng, Jiashuo Jian, Lei Liu, et al.
Buildings (2024) Vol. 14, Iss. 4, pp. 884-884
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

Cantilever piled-wall design criteria in cohesionless soil: a review
Mohamed H. Zakaria, Ali Basha
World Journal of Engineering (2024)
Closed Access | Times Cited: 2

Application of Machine Learning in Geotechnical Engineering for Risk Assessment
Ali Akbar Firoozi, Ali Asghar Firoozi
Artificial intelligence (2023)
Open Access | Times Cited: 6

Machine Learning Aided Modeling of Granular Materials: A Review
Mengqi Wang, Krishna Kumar, Y.T. Feng, et al.
Archives of Computational Methods in Engineering (2024)
Open Access | Times Cited: 1

Multi‐Scale Geomechanical Modelling of Unconventional Shale Gas: The Implication on Assisting Geophysics–Geology–Engineering Integration
Yue Xiao, Chong Liang, Dawei Zhu, et al.
International Journal of Energy Research (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1

Adaptive Utilization of Pressure Sensor Data in Excavation
Hannu Juola, Rauno Heikkilä, Matti Immonen, et al.
Journal of Earth Sciences and Geotechnical Engineering (2024), pp. 1-18
Open Access

physics-guided deep learning-based constitutive modeling for the gravelly soil-structure interface
Wei Sun, Yiwei Chen, Qiuhao DU, et al.
Research Square (Research Square) (2024)
Closed Access

Deformation Pattern of Metro Foundation Pits in Coastal Areas of China: A Statistical Analysis
Qing Cao, Junjie Yuan, Xuqun Zhang, et al.
Atlantis highlights in engineering/Atlantis Highlights in Engineering (2024), pp. 210-223
Open Access

A GWO-ML-based large deformation finite element variable mapping method: An example of RITSS large deformation finite element simulation
Kailin Ding, Yong Fu
Computers and Geotechnics (2024) Vol. 175, pp. 106693-106693
Closed Access

A virtual calibration chamber for new cone penetration test based on deep-learning approaches
Mingpeng Liu, Enci Sun, Ningning Zhang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access

GPM-PeNN: A generalized plasticity model-based data-driven constitutive modeling framework using physics-encoded neural network
Jingzhou Wang, Gang Ma, Tongming Qu, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 436, pp. 117694-117694
Closed Access

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