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:

Special issue on “Machine learning and AI in geotechnics”
Kok‐Kwang Phoon, Limin Zhang, Zheng Cao
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2023) Vol. 17, Iss. 1, pp. 1-6
Open Access | Times Cited: 10

Showing 10 citing articles:

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: 9

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 Responsible AI approach for designing resilient classifier to handle incomplete data
Sairam Utukuru, P. Radha Krishna
Intelligent Data Analysis (2025)
Closed Access

Report for ISSMGE TC309/TC304/TC222 and ASCE Geo-Institute Risk Assessment and Management Committee Fourth Machine Learning in Geotechnics Dialogue on “Machine Learning Supremacy Projects”
Yat Fai Leung, Kok‐Kwang Phoon, Te Xiao, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024) Vol. 18, Iss. 1, pp. 304-313
Closed Access | Times Cited: 4

A deep transfer learning model for the deformation of braced excavations with limited monitoring data
Yuanqin Tao, Shaoxiang Zeng, Tiantian Ying, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 4

Application of Machine Learning in Geotechnical Engineering for Risk Assessment
Ali Akbar Firoozi, Ali Asghar Firoozi
Artificial intelligence (2023)
Open Access | Times Cited: 7

Symbolic regression based prediction of anisotropic closure in deep tunnels
Lina‐María Guayacán‐Carrillo, Jean Sulem
Computers and Geotechnics (2024) Vol. 171, pp. 106355-106355
Open Access | Times Cited: 2

Special Issue on “Data-Centric Geotechnics for Practice”
Kok‐Kwang Phoon, Limin Zhang, Zi-Jun Cao
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024) Vol. 18, Iss. 1, pp. 1-7
Open Access | Times Cited: 1

Automatic soil classification method from CPTU data based on convolutional neural networks
Wenyuan Liu, Liyuan Tong, Yinjuan Sun, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 8
Closed Access | Times Cited: 1

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

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