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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 of Subsurface Geological Cross-Section from Limited Site-Specific Boreholes and Prior Geological Knowledge Using Iterative Convolution XGBoost
Chao Shi, Yu Wang
Journal of Geotechnical and Geoenvironmental Engineering (2021) Vol. 147, Iss. 9
Closed Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

Future of machine learning in geotechnics
Kok‐Kwang Phoon, Wengang Zhang
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2022) Vol. 17, Iss. 1, pp. 7-22
Closed Access | Times Cited: 168
ANN-based swarm intelligence for predicting expansive soil swell pressure and compression strength
Fazal E. Jalal, Mudassir Iqbal, Waseem Akhtar Khan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 31
Few-shot Learning of Geological Cross-sections from Sparse Data using Large Language Model
Hanyue Li, Chao Shi
Geodata and AI. (2025), pp. 100010-100010
Open Access | Times Cited: 2
Unpacking data-centric geotechnics
Kok‐Kwang Phoon, Jianye Ching, Zi-Jun Cao
Underground Space (2022) Vol. 7, Iss. 6, pp. 967-989
Open Access | Times Cited: 65
Data-driven construction of Three-dimensional subsurface geological models from limited Site-specific boreholes and prior geological knowledge for underground digital twin
Chao Shi, Yu Wang
Tunnelling and Underground Space Technology (2022) Vol. 126, pp. 104493-104493
Closed Access | Times Cited: 57
Auto machine learning-based modelling and prediction of excavation-induced tunnel displacement
Dongmei Zhang, Yiming Shen, Zhongkai Huang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 4, pp. 1100-1114
Open Access | Times Cited: 53
Geospatial and statistical interpolation of geotechnical data for modeling zonation maps of Islamabad, Pakistan
Waqas Hassan, Badee Alshameri, Muhammad Naqeeb Nawaz, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 24
Closed Access | Times Cited: 40
Data-driven and physics-informed Bayesian learning of spatiotemporally varying consolidation settlement from sparse site investigation and settlement monitoring data
Hua-Ming Tian, Yu Wang
Computers and Geotechnics (2023) Vol. 157, pp. 105328-105328
Closed Access | Times Cited: 30
GFII: A new index to identify geological features during shield tunnelling
Tao Yan, Shui‐Long Shen, Annan Zhou
Tunnelling and Underground Space Technology (2023) Vol. 142, pp. 105440-105440
Closed Access | Times Cited: 28
What Geotechnical Engineers Want to Know about Reliability
Kok‐Kwang Phoon
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2023) Vol. 9, Iss. 2
Closed Access | Times Cited: 27
Multi-scale generative adversarial networks (GAN) for generation of three-dimensional subsurface geological models from limited boreholes and prior geological knowledge
Borui Lyu, Yu Wang, Chao Shi
Computers and Geotechnics (2024) Vol. 170, pp. 106336-106336
Closed Access | Times Cited: 15
Regional 3D geological modeling along metro lines based on stacking ensemble model
Xia Bian, Zhuyi Fan, Jiaxing Liu, et al.
Underground Space (2024) Vol. 18, pp. 65-82
Open Access | Times Cited: 13
Influence of geological uncertainty on longitudinal deformation of tunnel based on improved coupled Markov chain
Qi-Hao Jiang, Jinzhang Zhang, Dongming Zhang, et al.
Engineering Geology (2024) Vol. 337, pp. 107564-107564
Closed Access | Times Cited: 13
Geospatial intelligence in geotechnical engineering: a comprehensive investigation into SPT-N, soil types, and undrained shear strength for enhanced site characterization
Waqas Hassan, Muhammad Qasim, Badee Alshameri, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 10
Closed Access | Times Cited: 13
Influence of geological uncertainty and soil spatial variability on tunnel deformation and their importance evaluation
Jinzhang Zhang, Qi-Hao Jiang, Dongming Zhang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105930-105930
Closed Access | Times Cited: 11
Future of Machine Learning in Geotechnics (FOMLIG), 5–6 Dec 2023, Okayama, Japan
Kok‐Kwang Phoon, Takayuki Shuku
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024) Vol. 18, Iss. 1, pp. 288-303
Closed Access | Times Cited: 10
Three-dimensional reconstruction of subsurface stratigraphy using machine learning with neighborhood aggregation
Yue Hu, Ze Zhou Wang, Xiangfeng Guo, et al.
Engineering Geology (2024) Vol. 337, pp. 107588-107588
Closed Access | Times Cited: 10
Investigating Appropriate Artificial Intelligence Approaches to Reliably Predict Coastal Wave Overtopping and Identify Process Contributions
Michael McGlade, Nieves G. Valiente, Jennifer Brown, et al.
Ocean Modelling (2025), pp. 102510-102510
Closed Access | Times Cited: 1
Efficient probabilistic tunning of large geological model (LGM) for underground digital twin
Wei Qi Yan, Chun Yang, Ping Shen, et al.
Engineering Geology (2025), pp. 107996-107996
Closed Access | Times Cited: 1
Large language model-empowered paradigm for automated geotechnical site planning and geological characterization
Ze-Hang Qian, Chao Shi
Automation in Construction (2025) Vol. 173, pp. 106103-106103
Closed Access | Times Cited: 1
Stochastic stratigraphic modeling using Bayesian machine learning
Xing-Xing Wei, Hui Wang
Engineering Geology (2022) Vol. 307, pp. 106789-106789
Closed Access | Times Cited: 32
Time capsule for geotechnical risk and reliability
Marcin Chwała, Kok‐Kwang Phoon, Marco Uzielli, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2022) Vol. 17, Iss. 3, pp. 439-466
Closed Access | Times Cited: 29
Predicting geological interfaces using stacking ensemble learning with multi-scale features
Ze Zhou Wang, Yue Hu, Xiangfeng Guo, et al.
Canadian Geotechnical Journal (2023) Vol. 60, Iss. 7, pp. 1036-1054
Closed Access | Times Cited: 21
Chinese engineering geological named entity recognition by fusing multi-features and data enhancement using deep learning
Qinjun Qiu, Miao Tian, Zhen Huang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121925-121925
Closed Access | Times Cited: 19
Data-driven subsurface modelling using a Markov random field model
Takayuki Shuku, Kok‐Kwang Phoon
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2023) Vol. 17, Iss. 1, pp. 41-63
Closed Access | Times Cited: 18
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