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:

From inference to design: A comprehensive framework for uncertainty quantification in engineering with limited information
Ander Gray, Alexander Wimbush, Marco de Angelis, et al.
Mechanical Systems and Signal Processing (2021) Vol. 165, pp. 108210-108210
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management
Hesam Kamyab, Tayebeh Khademi, Shreeshivadasan Chelliapan, et al.
Results in Engineering (2023) Vol. 20, pp. 101566-101566
Open Access | Times Cited: 115

Development of a digital twin operational platform using Python Flask
Matthew S. Bonney, Marco de Angelis, Mattia Dal Borgo, et al.
Data-Centric Engineering (2022) Vol. 3
Open Access | Times Cited: 24

Optimization of mobility incentives in electric vehicle car sharing systems: A reinforcement learning framework
Roberto Rocchetta, Lorenzo Nespoli, Vasco Medici, et al.
Sustainable Cities and Society (2025), pp. 106107-106107
Closed Access

Hierarchical Bayesian uncertainty quantification of Finite Element models using modal statistical information
Omid Sedehi, Costas Papadimitriou, Lambros S. Katafygiotis
Mechanical Systems and Signal Processing (2022) Vol. 179, pp. 109296-109296
Open Access | Times Cited: 18

Estimation of an imprecise power spectral density function with optimised bounds from scarce data for epistemic uncertainty quantification
Marco Behrendt, Matthias G.R. Faes, Marcos A. Valdebenito, et al.
Mechanical Systems and Signal Processing (2023) Vol. 189, pp. 110072-110072
Open Access | Times Cited: 9

Comparison between Distance Functions for Approximate Bayesian Computation to Perform Stochastic Model Updating and Model Validation under Limited Data
Adolphus Lye, Scott Ferson, Sicong Xiao
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2024) Vol. 10, Iss. 2
Closed Access | Times Cited: 3

The sub-interval similarity: A general uncertainty quantification metric for both stochastic and interval model updating
Yanlin Zhao, Jianhong Yang, Matthias G.R. Faes, et al.
Mechanical Systems and Signal Processing (2022) Vol. 178, pp. 109319-109319
Open Access | Times Cited: 15

Digital twins for design in the presence of uncertainties
Jiannan Yang, R.S. Langley, Luís Andrade
Mechanical Systems and Signal Processing (2022) Vol. 179, pp. 109338-109338
Open Access | Times Cited: 14

A robust model selection framework for fault detection and system health monitoring with limited failure examples: Heterogeneous data fusion and formal sensitivity bounds
Roberto Rocchetta, Qi Gao, Dimitrios Mavroeidis, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105140-105140
Open Access | Times Cited: 13

Contextualisation of information in digital twin processes
Matthew S. Bonney, Marco de Angelis, Mattia Dal Borgo, et al.
Mechanical Systems and Signal Processing (2022) Vol. 184, pp. 109657-109657
Open Access | Times Cited: 9

Quantification of Polymorphic Uncertainties: A Quasi-Monte Carlo Approach
Simon Marwitz, Tom Lahmer, Volkmar Zabel
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2024) Vol. 10, Iss. 3
Closed Access | Times Cited: 1

Uncertainty Optimization of Vibration Characteristics of Automotive Micro-Motors Based on Pareto Elliptic Algorithm
Hao Hu, Deping Wang, Yudong Wu, et al.
Machines (2024) Vol. 12, Iss. 8, pp. 566-566
Open Access | Times Cited: 1

Data-driven and physics-based interval modelling of power spectral density functions from limited data
Marco Behrendt, Chao Dang, Michael Beer
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111078-111078
Closed Access | Times Cited: 3

A novel neural network training framework with data assimilation
Chong Chen, Yixuan Dou, Jie Chen, et al.
The Journal of Supercomputing (2022) Vol. 78, Iss. 17, pp. 19020-19045
Open Access | Times Cited: 4

Towards a Framework for Non-intrusive Uncertainty Propagation in the Preliminary Design of Aircraft Systems
Ioanna Ioannou, P.O. Hristov, Hau Kit Yong, et al.
AIAA SCITECH 2022 Forum (2023)
Closed Access | Times Cited: 2

Addressing challenges in uncertainty quantification: the case of geohazard assessments
Ibsen Chivatá Cárdenas, Terje Aven, Roger Flage
Geoscientific model development (2023) Vol. 16, Iss. 6, pp. 1601-1615
Open Access | Times Cited: 2

Multi-level Uncertain Fatigue Analysis of a Truss under Incomplete Available Information
Raphael Basílio Pires Nonato
Frattura ed Integrità Strutturale (2023) Vol. 17, Iss. 66, pp. 17-37
Open Access | Times Cited: 2

Surrogate model-based calibration of a flying Earth observation satellite
Federico Antonello, Daniele Segneri, Vemund Reggestad
Advances in Space Research (2023) Vol. 73, Iss. 3, pp. 1925-1935
Closed Access | Times Cited: 2

ROBUST PROBABILITY BOUNDS ANALYSIS FOR FAILURE ANALYSIS UNDER LACK OF DATA AND MODEL UNCERTAINTY
Adolphus Lye, Ander Gray, Marco de Angelis, et al.
UNCECOMP Proceedings (2023), pp. 391-407
Open Access | Times Cited: 2

Uncertainty analysis and interval prediction of LEDs lifetimes
Roberto Rocchetta, Zhouzhao Zhan, W.D. van Driel, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109715-109715
Closed Access | Times Cited: 2

Ranking and Selection of Earthquake Ground-Motion Models Using the Stochastic Area Metric
Jaleena Sunny, Marco de Angelis, Benjamin Edwards
Seismological Research Letters (2021) Vol. 93, Iss. 2A, pp. 787-797
Open Access | Times Cited: 5

An efficient penalty function method for scenario-based uncertainty quantification problems
Haitao Liao, Wenhao Yuan, Ruxin Gao, et al.
Journal of Vibration and Control (2024)
Closed Access

How to Exploit What We Know About Input and Model: A Trans-probabilistic Approach to the 2022 AIAA UQ Challenge
P.O. Hristov, Ioanna Ioannou, Scott Ferson
AIAA SCITECH 2022 Forum (2024)
Closed Access

A survey on LED Prognostics and Health Management and uncertainty reduction
Roberto Rocchetta, Elisa Perrone, Alexander Herzog, et al.
Microelectronics Reliability (2024) Vol. 157, pp. 115399-115399
Open Access

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