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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:

Latent map Gaussian processes for mixed variable metamodeling
Nicholas Oune, Ramin Bostanabad
Computer Methods in Applied Mechanics and Engineering (2021) Vol. 387, pp. 114128-114128
Open Access | Times Cited: 23

Showing 23 citing articles:

Multi-fidelity cost-aware Bayesian optimization
Zahra Zanjani Foumani, Mehdi Shishehbor, Amin Yousefpour, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 407, pp. 115937-115937
Open Access | Times Cited: 42
GP+: A Python library for kernel-based learning via Gaussian processes
Amin Yousefpour, Zahra Zanjani Foumani, Mehdi H. Shishehbor, et al.
Advances in Engineering Software (2024) Vol. 195, pp. 103686-103686
Open Access | Times Cited: 11
Data-driven physics-constrained recurrent neural networks for multiscale damage modeling of metallic alloys with process-induced porosity
Shiguang Deng, Shirin Hosseinmardi, Libo Wang, et al.
Computational Mechanics (2024) Vol. 74, Iss. 1, pp. 191-221
Closed Access | Times Cited: 6
Multifidelity Bayesian Optimization: A Review
Bach Do, Ruda Zhang
AIAA Journal (2025), pp. 1-37
Closed Access
Unveiling Processing–Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments
Mahsa Amiri, Zahra Zanjani Foumani, Penghui Cao, et al.
Materials & Design (2025), pp. 113705-113705
Open Access
Data Fusion With Latent Map Gaussian Processes
Jonathan Tammer Eweis-Labolle, Nicholas Oune, Ramin Bostanabad
Journal of Mechanical Design (2022) Vol. 144, Iss. 9
Open Access | Times Cited: 25
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft
Paul Saves, Youssef Diouane, Nathalie Bartoli, et al.
Structural and Multidisciplinary Optimization (2024) Vol. 67, Iss. 5
Closed Access | Times Cited: 4
Simultaneous and meshfree topology optimization with physics-informed Gaussian processes
Amin Yousefpour, Shirin Hosseinmardi, Carlos Mora, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117698-117698
Closed Access
A mixed-categorical correlation kernel for Gaussian process
Paul Saves, Youssef Diouane, N. Bartoli, et al.
Neurocomputing (2023) Vol. 550, pp. 126472-126472
Open Access | Times Cited: 12
Capabilities of Auto-encoders and Principal Component Analysis of the reduction of microstructural images; Application on the acceleration of Phase-Field simulations
Seifallah Fetni, Thinh Quy Duc Pham, Truong‐Vinh Hoang, et al.
Computational Materials Science (2022) Vol. 216, pp. 111820-111820
Closed Access | Times Cited: 13
Probabilistic neural data fusion for learning from an arbitrary number of multi-fidelity data sets
Carlos Mora, Jonathan Tammer Eweis-Labolle, Tyler B. Johnson, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 415, pp. 116207-116207
Open Access | Times Cited: 7
Heteroscedastic Gaussian Process Regression for material structure–property relationship modeling
Ozge Ozbayram, Audrey Olivier, Lori Graham‐Brady
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 431, pp. 117326-117326
Closed Access | Times Cited: 2
Data-Driven Calibration of Multifidelity Multiscale Fracture Models Via Latent Map Gaussian Process
Shiguang Deng, Carlos Mora, Diran Apelian, et al.
Journal of Mechanical Design (2022) Vol. 145, Iss. 1
Open Access | Times Cited: 9
Intelligent optimization of stiffener unit cell via variational autoencoder-based feature extraction
Dachuan Liu, Peng Hao, Tengfei Xu, et al.
Structural and Multidisciplinary Optimization (2022) Vol. 66, Iss. 1
Closed Access | Times Cited: 9
High-dimensional multidisciplinary design optimization for aircraft eco-design
Paul Saves
(2024)
Open Access | Times Cited: 1
Multi-Fidelity Design of Porous Microstructures for Thermofluidic Applications
Jonathan Tammer Eweis-Labolle, Chuanning Zhao, Yoonjin Won, et al.
Journal of Mechanical Design (2024) Vol. 146, Iss. 10
Open Access | Times Cited: 1
A gaussian process framework for solving forward and inverse problems involving nonlinear partial differential equations
Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, et al.
Computational Mechanics (2024)
Closed Access | Times Cited: 1
Safeguarding Multi-Fidelity Bayesian Optimization Against Large Model Form Errors and Heterogeneous Noise
Zahra Zanjani Foumani, Amin Yousefpour, Mehdi H. Shishehbor, et al.
Journal of Mechanical Design (2023) Vol. 146, Iss. 6
Closed Access | Times Cited: 4
A set‐based approach for hierarchical optimization problem using Bayesian active learning
Kohei Shintani, Tomotaka Sugai, Takayuki Yamada
International Journal for Numerical Methods in Engineering (2023) Vol. 124, Iss. 10, pp. 2196-2214
Open Access | Times Cited: 3
A novel multi-fidelity cokriging model assisted by multiple non-hierarchical low-fidelity datasets
Chen-Zhou Xu, Zhonghua Han, Ke-Shi Zhang, et al.
Structural and Multidisciplinary Optimization (2024) Vol. 67, Iss. 4
Open Access
An efficient latent map multi-fidelity Kriging model and adaptive point-selected strategy for reliability analysis with time-consuming simulations
Cao Tong, Qi Zhang, Can Cui, et al.
Structural and Multidisciplinary Optimization (2024) Vol. 67, Iss. 5
Closed Access
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft
Paul Saves, Youssef Diouane, Nathalie Bartoli, et al.
arXiv (Cornell University) (2023)
Open Access
Neural partially linear additive model
Liangxuan Zhu, Han Li, Xuelin Zhang, et al.
Frontiers of Computer Science (2023) Vol. 18, Iss. 6
Closed Access
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