Christian Moya

459 total citations
24 papers, 229 citations indexed

About

Christian Moya is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Christian Moya has authored 24 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistical and Nonlinear Physics, 9 papers in Control and Systems Engineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Christian Moya's work include Model Reduction and Neural Networks (12 papers), Smart Grid Security and Resilience (6 papers) and Network Security and Intrusion Detection (4 papers). Christian Moya is often cited by papers focused on Model Reduction and Neural Networks (12 papers), Smart Grid Security and Resilience (6 papers) and Network Security and Intrusion Detection (4 papers). Christian Moya collaborates with scholars based in United States, Hong Kong and Switzerland. Christian Moya's co-authors include Guang Lin, Zecheng Zhang, Jiankang Wang, Yue Meng, Shiqi Zhang, Jianming Lian, Karanjit Kalsi, Wei Zhang, Hayden Schaeffer and Guillermo Paniagua and has published in prestigious journals such as Journal of Computational Physics, International Journal of Heat and Mass Transfer and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Christian Moya

23 papers receiving 224 citations

Peers

Countries citing papers authored by Christian Moya

Since Specialization

Citations

This map shows the geographic impact of Christian Moya'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 Christian Moya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Moya more than expected).

Fields of papers citing papers by Christian Moya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian Moya. 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 Christian Moya. The network helps show where Christian Moya may publish in the future.

Co-authorship network of co-authors of Christian Moya

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Moya. A scholar is included among the top collaborators of Christian Moya 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 Christian Moya. Christian Moya 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	DeepONet as a multi-Operator extrapolation model: Distributed pretraining with physics-Informed fine-Tuning 2025 ·Journal of Computational Physics ·Zecheng Zhang, Christian Moya, Lu Lu, Guang Lin, Hayden Schaeffer	0
2	FPINN-deeponet: A physics-informed operator learning framework for multi-term time-fractional mixed diffusion-wave equations 2025 ·Journal of Computational Physics ·Benjamin C.‐Y. Lu, (unknown), Christian Moya, Guang Lin	1
3	D2NO: Efficient handling of heterogeneous input function spaces with distributed deep neural operators 2024 ·Computer Methods in Applied Mechanics and Engineering ·Zecheng Zhang, Christian Moya, Lu Lu, Guang Lin, Hayden Schaeffer	11
4	Bayesian Deep Operator Learning for Homogenized to Fine-Scale Maps for Multiscale PDE 2024 ·Multiscale Modeling and Simulation ·(unknown), Christian Moya, (unknown), Guang Lin, Hayden Schaeffer	8
5	Conformalized-DeepONet: A distribution-free framework for uncertainty quantification in deep operator networks 2024 ·Physica D Nonlinear Phenomena ·Christian Moya, (unknown), Zecheng Zhang, Lu Lu, Guang Lin	7
6	Deep operator learning-based surrogate models with uncertainty quantification for optimizing internal cooling channel rib profiles 2023 ·International Journal of Heat and Mass Transfer ·(unknown), Christian Moya, (unknown), Guang Lin, Guillermo Paniagua	17
7	A Physics-Guided Bi-Fidelity Fourier-Featured Operator Learning Framework for Predicting Time Evolution of Drag and Lift Coefficients 2023 ·Fluids ·(unknown), (unknown), (unknown), Christian Moya, Guillermo Paniagua, Guang Lin	1
8	DeepONet-grid-UQ: A trustworthy deep operator framework for predicting the power grid’s post-fault trajectories 2023 ·Neurocomputing ·Christian Moya, Shiqi Zhang, Guang Lin, Yue Meng	32
9	NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training 2023 ·Algorithms ·(unknown), Christian Moya, Guang Lin	12
10	Automatic Generation Control Under Single Time-Delay Attack 2023 ·(unknown), Christian Moya, Jiankang Wang, Mahesh S. Illindala	1
11	Learning the dynamical response of nonlinear non-autonomous dynamical systems with deep operator neural networks 2023 ·Engineering Applications of Artificial Intelligence ·Guang Lin, Christian Moya, Zecheng Zhang	21
12	Fed-DeepONet: Stochastic Gradient-Based Federated Training of Deep Operator Networks 2022 ·Algorithms ·Christian Moya, Guang Lin	9
13	DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks 2022 ·Neural Computing and Applications ·Christian Moya, Guang Lin	27
14	Smart Resistor for Stability Improvement of the dc Link in Turbo-Electric Aircrafts 2019 ·(unknown), (unknown), Christian Moya, Benedict Lim Heng Sim, Jin Wang	3
15	A Cyber-Physical Testbed Design for the Electric Power Grid 2019 ·(unknown), Christian Moya, (unknown), (unknown), Jiankang Wang	5
16	Semantic analysis framework for protecting the power grid against monitoring‐control attacks 2019 ·IET Cyber-Physical Systems Theory & Applications ·Jiankang Wang, (unknown), Christian Moya, Junho Hong	6
17	Developing correlation indices to identify coordinated cyber‐attacks on power grids 2018 ·IET Cyber-Physical Systems Theory & Applications ·Christian Moya, Jiankang Wang	12
18	Attack path reconstruction from adverse consequences on power grids with a focus on Monitoring-Layer attacks 2016 ·(unknown), Christian Moya	2
19	Defensing against measurement attacks on sub-transmission level 2016 ·Christian Moya, Chih‐Che Sun, (unknown), Chen‐Ching Liu	1
20	A hierarchical framework for demand-side frequency control 2014 ·Christian Moya, Wei Zhang, Jianming Lian, Karanjit Kalsi	18

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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