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:
Modeling of Seismic Energy Dissipation of Rocking Foundations Using Nonparametric Machine Learning Algorithms
Sivapalan Gajan
Geotechnics (2021) Vol. 1, Iss. 2, pp. 534-557
Open Access | Times Cited: 7
Sivapalan Gajan
Geotechnics (2021) Vol. 1, Iss. 2, pp. 534-557
Open Access | Times Cited: 7
Showing 7 citing articles:
High-Level K-Nearest Neighbors (HLKNN): A Supervised Machine Learning Model for Classification Analysis
Elife Ozturk Kiyak, Bita Ghasemkhani, Derya Birant
Electronics (2023) Vol. 12, Iss. 18, pp. 3828-3828
Open Access | Times Cited: 20
Elife Ozturk Kiyak, Bita Ghasemkhani, Derya Birant
Electronics (2023) Vol. 12, Iss. 18, pp. 3828-3828
Open Access | Times Cited: 20
A threefold-ensemble k-nearest neighbor algorithm
Hassan I. Abdalla, Aneela Altaf, Ali A. Hamzah
International Journal of Computers and Applications (2025), pp. 1-14
Closed Access
Hassan I. Abdalla, Aneela Altaf, Ali A. Hamzah
International Journal of Computers and Applications (2025), pp. 1-14
Closed Access
Data-Driven Modeling of Peak Rotation and Tipping-Over Stability of Rocking Shallow Foundations Using Machine Learning Algorithms
Sivapalan Gajan
Geotechnics (2022) Vol. 2, Iss. 3, pp. 781-801
Open Access | Times Cited: 8
Sivapalan Gajan
Geotechnics (2022) Vol. 2, Iss. 3, pp. 781-801
Open Access | Times Cited: 8
Predictive modeling of rocking-induced settlement in shallow foundations using ensemble machine learning and neural networks
Sivapalan Gajan
Frontiers in Built Environment (2024) Vol. 10
Open Access
Sivapalan Gajan
Frontiers in Built Environment (2024) Vol. 10
Open Access
Prediction of Acceleration Amplification Ratio of Rocking Foundations Using Machine Learning and Deep Learning Models
Sivapalan Gajan
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12791-12791
Open Access | Times Cited: 1
Sivapalan Gajan
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12791-12791
Open Access | Times Cited: 1
Data-Driven Modeling of Seismic Energy Dissipation of Rocking Foundations Using Decision Tree-Based Ensemble Machine Learning Algorithms
Sivapalan Gajan, Wakeley Banker, Alexander Bonacci
Geo-Congress 2019 (2023), pp. 298-308
Closed Access
Sivapalan Gajan, Wakeley Banker, Alexander Bonacci
Geo-Congress 2019 (2023), pp. 298-308
Closed Access
Effects on Long-Range Dependence and Multifractality in Temporal Resolution Recovery of High Frame Rate HEVC Compressed Content
Ana Gavrovska
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9851-9851
Open Access
Ana Gavrovska
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9851-9851
Open Access
