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:
XGB-Northern Goshawk Optimization: Predicting the Compressive Strength of Self-Compacting Concrete
Jiang Bian, Ruili Huo, Yan Zhong, et al.
KSCE Journal of Civil Engineering (2024) Vol. 28, Iss. 4, pp. 1423-1439
Open Access | Times Cited: 6
Jiang Bian, Ruili Huo, Yan Zhong, et al.
KSCE Journal of Civil Engineering (2024) Vol. 28, Iss. 4, pp. 1423-1439
Open Access | Times Cited: 6
Showing 6 citing articles:
Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches
Laiba Khawaja, Usama Asif, Kennedy C. Onyelowe, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Laiba Khawaja, Usama Asif, Kennedy C. Onyelowe, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Enhancing earthquakes and quarry blasts discrimination using machine learning based on three seismic parameters
Mohamed S. Abdalzaher, Moez Krichen, Mostafa M. Fouda
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 9, pp. 102925-102925
Open Access | Times Cited: 5
Mohamed S. Abdalzaher, Moez Krichen, Mostafa M. Fouda
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 9, pp. 102925-102925
Open Access | Times Cited: 5
Predicting Standard Penetration Test N-value from Cone Penetration Test Data Using Gene Expression Programming
Mehtab Alam, Jianfeng Chen, Muhammad Umar, et al.
Geotechnical and Geological Engineering (2024)
Closed Access | Times Cited: 1
Mehtab Alam, Jianfeng Chen, Muhammad Umar, et al.
Geotechnical and Geological Engineering (2024)
Closed Access | Times Cited: 1
Prediction Method of Rock Uniaxial Compressive Strength Based on Feature Optimization and SSA-XGBoost
Huihui Xie, Peng Lin, Jintao Kang, et al.
Sustainability (2024) Vol. 16, Iss. 19, pp. 8460-8460
Open Access
Huihui Xie, Peng Lin, Jintao Kang, et al.
Sustainability (2024) Vol. 16, Iss. 19, pp. 8460-8460
Open Access
Modeling of the effect of gradation and compaction characteristics on the california bearing ratio of granular materials for subbase and landfill liner construction
Majed Alzara, Kennedy C. Onyelowe, Ahmed M. Ebid, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Majed Alzara, Kennedy C. Onyelowe, Ahmed M. Ebid, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Compressive strength prediction of nano-modified concrete: A comparative study of advanced machine learning techniques
X.M. Tao
AIP Advances (2024) Vol. 14, Iss. 7
Open Access
X.M. Tao
AIP Advances (2024) Vol. 14, Iss. 7
Open Access
