Xun Huan

1.9k total citations · 1 hit paper
69 papers, 1.1k citations indexed

About

Xun Huan is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Xun Huan has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics, Probability and Uncertainty, 12 papers in Artificial Intelligence and 12 papers in Aerospace Engineering. Recurrent topics in Xun Huan's work include Probabilistic and Robust Engineering Design (19 papers), Model Reduction and Neural Networks (11 papers) and Aerodynamics and Acoustics in Jet Flows (8 papers). Xun Huan is often cited by papers focused on Probabilistic and Robust Engineering Design (19 papers), Model Reduction and Neural Networks (11 papers) and Aerodynamics and Acoustics in Jet Flows (8 papers). Xun Huan collaborates with scholars based in United States, Germany and Italy. Xun Huan's co-authors include Youssef Marzouk, Brendan Kochunas, Krishna Garikipati, Chao Hu, Cosmin Safta, Habib N. Najm, Guilhem Lacaze, Joseph Oefelein, Roger Ghanem and Olga Fink and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xun Huan

63 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial

2023 103 citations Xun Huan et al. profile →

Peers

Countries citing papers authored by Xun Huan

Since Specialization

Citations

This map shows the geographic impact of Xun Huan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xun Huan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Huan more than expected).

Fields of papers citing papers by Xun Huan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xun Huan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xun Huan. The network helps show where Xun Huan may publish in the future.

Co-authorship network of co-authors of Xun Huan

This figure shows the co-authorship network connecting the top 25 collaborators of Xun Huan. A scholar is included among the top collaborators of Xun Huan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xun Huan. Xun Huan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Bayesian model selection for network discrimination and risk‐informed decision‐making in material flow analysis 2025 ·Journal of Industrial Ecology ·(unknown), (unknown), Xun Huan, Daniel Cooper	0
2	A Multifidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design 2025 ·SIAM/ASA Journal on Uncertainty Quantification ·(unknown), Xun Huan	0
3	Enhancing dynamical system modeling through interpretable machine-learning augmentations: a case study in cathodic electrophoretic deposition 2025 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), (unknown), Xun Huan, Karthik Duraisamy, (unknown), (unknown)	0
4	Decent Estimate of CME Arrival Time From a Data‐Assimilated Ensemble in the Alfvén Wave Solar Atmosphere Model (DECADE‐AWSoM) 2025 ·Space Weather ·(unknown), Nishtha Sachdeva, Zhenguang Huang, B. van der Holst, W. B. Manchester, (unknown), Shasha Zou, Yang Chen, Xun Huan, G. Tóth	2
5	Mechanical information enhanced battery state-of-health estimation 2025 ·eTransportation ·(unknown), (unknown), (unknown), (unknown), Xun Huan, Jason B. Siegel, (unknown), Ziyou Song	0
6	Variational sequential optimal experimental design using reinforcement learning 2025 ·Computer Methods in Applied Mechanics and Engineering ·(unknown), (unknown), Xun Huan	1
7	Bayesian Optimal Experimental Design for Intelligent Data Collection in Material Flow Analysis 2025 ·Procedia CIRP ·(unknown), Xun Huan, Daniel Cooper	1
8	Variational Bayesian optimal experimental design with normalizing flows 2024 ·Computer Methods in Applied Mechanics and Engineering ·(unknown), (unknown), (unknown), (unknown), (unknown), Karthik Duraisamy, Xun Huan	4
9	Exploring Random Forest Machine Learning for Fetal Movement Detection using Abdominal Acceleration and Angular Rate Data 2024 ·PubMed ·(unknown), (unknown), Xun Huan, Kathleen H. Sienko	1
10	Integrating inverse reinforcement learning into data-driven mechanistic computational models: a novel paradigm to decode cancer cell heterogeneity 2024 ·SHILAP Revista de lepidopterología ·(unknown), Kenneth K. Y. Ho, (unknown), Chengyang Huang, (unknown), Krishna Garikipati, Gary D. Luker, Nikola Banović, Xun Huan, Jennifer J. Linderman, Kathryn E. Luker	1
11	Expert elicitation and data noise learning for material flow analysis using Bayesian inference 2023 ·Journal of Industrial Ecology ·(unknown), (unknown), Xun Huan, Daniel Cooper	7
12	Bayesian sequential optimal experimental design for nonlinear models using policy gradient reinforcement learning 2023 ·Computer Methods in Applied Mechanics and Engineering ·(unknown), Xun Huan	18
13	Stochastic deep Koopman model for quality propagation analysis in multistage manufacturing systems 2023 ·Journal of Manufacturing Systems ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Xun Huan, Jun Ni	2
14	Fault Prognosis of Turbofan Engines 2023 ·International Journal of Prognostics and Health Management ·Joseph Cohen, Xun Huan, Jun Ni	3
15	Global Sensitivity Analysis and Uncertainty Quantification for Background Solar Wind Using the Alfvén Wave Solar Atmosphere Model 2023 ·Space Weather ·(unknown), Nishtha Sachdeva, Zhenguang Huang, Yang Chen, B. van der Holst, W. B. Manchester, (unknown), (unknown), Shasha Zou, Xun Huan, G. Tóth	14
16	To Trust or Not: Towards Efficient Uncertainty Quantification for Stochastic Shapley Explanations 2023 ·Joseph Cohen, Eunshin Byon, Xun Huan	6
17	Stratification by Tumor Grade Groups in a Holistic Evaluation of Machine Learning for Brain Tumor Segmentation 2021 ·Frontiers in Neuroscience ·Snehal Prabhudesai, Nicholas Wang, (unknown), Xun Huan, Jayapalli Rajiv Bapuraj, Nikola Banović, Arvind Rao	9
18	Compressive sensing adaptation for polynomial chaos expansions 2019 ·Journal of Computational Physics ·(unknown), Xun Huan, Cosmin Safta, Khachik Sargsyan, Guilhem Lacaze, Joseph Oefelein, Habib N. Najm, Roger Ghanem	47
19	Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds 2019 ·Journal of Computational Physics ·Roger Ghanem, Christian Soize, Cosmin Safta, Xun Huan, Guilhem Lacaze, Joseph Oefelein, Habib N. Najm	22
20	Transcriptome Analysis of Cadmium Exposed Jatropha curcas 2015 ·Zhongguo shengwu gongcheng zazhi ·(unknown), (unknown), (unknown), Xun Huan, Wei Wei	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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