Linyu Lin

501 citations

33 papers · 272 indexed · h-index 9

Impact in

Statistics, Probability and Uncertainty top 5%
- Risk and Safety Analysis
Control and Systems Engineering top 10%
- Fault Detection and Control Systems
- Advanced Data Processing Techniques
- Advanced Control Systems Optimization

Papers in ⓘ

Control and Systems Engineering 17
- Fault Detection and Control Systems 12
- Advanced Control Systems Optimization 4
- Process Optimization and Integration 3
Aerospace Engineering 10
- Nuclear Engineering Thermal-Hydraulics 8
- Nuclear reactor physics and engineering 4

Co-authors: Nam Dinh (16 shared papers)Han Bao (4 shared papers)J. W. Lane (5 shared papers)Robert Youngblood (3 shared papers)Maria Avramova (2 shared papers)Abhinav Gupta (2 shared papers)Vivek Agarwal (6 shared papers)Hongbin Zhang (1 shared paper)
Journals: Annals of Nuclear Energy (9 papers)Reliability Engineering & System Safety (2 papers)Nuclear Engineering and Technology (1 paper)Energies (1 paper)Array (1 paper)
Partner nations: United States China Austria

In The Last Decade

Linyu Lin

31 papers receiving 263 citations

Peers

Countries citing papers authored by Linyu Lin

Since Specialization

Citations

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

Fields of papers citing papers by Linyu Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Linyu Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Linyu Lin Line = papers co-authored together Linyu Lin links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Uncertainty quantification and software risk analysis for digital twins in the nearly autonomous management and control systems: A review Annals of Nuclear Energy ·Linyu Lin, Han Bao, Nam Dinh	2021	54
2	Development and assessment of a nearly autonomous management and control system for advanced reactors Annals of Nuclear Energy ·Linyu Lin, Paridhi Athe, Pascal Rouxelin, Maria Avramova, Abhinav Gupta, Robert Youngblood, J. W. Lane, Nam Dinh	2020	39
3	Using deep learning to explore local physical similarity for global-scale bridging in thermal-hydraulic simulation Annals of Nuclear Energy ·Han Bao, Nam Dinh, Linyu Lin, Robert Youngblood, J. W. Lane, Hongbin Zhang	2020	25
4	Digital-twin-based improvements to diagnosis, prognosis, strategy assessment, and discrepancy checking in a nearly autonomous management and control system Annals of Nuclear Energy ·Linyu Lin, Paridhi Athe, Pascal Rouxelin, Maria Avramova, Abhinav Gupta, Robert Youngblood, J. W. Lane, Nam Dinh	2021	23
5	Development of the Machine Learning-based Safety Significant Factor Inference Model for Diagnosis in Autonomous Control System Annals of Nuclear Energy ·Joomyung Lee, Linyu Lin, Paridhi Athe, Nam Dinh	2021	16
6	Reliability modeling in a predictive maintenance context: A margin-based approach Reliability Engineering & System Safety ·Diego Mandelli, Congjian Wang, Vivek Agarwal, Linyu Lin, Koushik A. Manjunatha	2023	9
7	Operational Resilience of Nuclear-Renewable Integrated-Energy Microgrids Energies ·Bikash Poudel, Linyu Lin, Tyler Phillips, Shannon Eggers, Vivek Agarwal, Timothy McJunkin	2022	9
8	Development and assessment of a model predictive controller enabling anticipatory control strategies for a heat-pipe system Progress in Nuclear Energy ·Linyu Lin, Joseph Oncken, Vivek Agarwal, Cody Permann, Andrei Gribok, Timothy McJunkin, Shannon Eggers, Ronald L. Boring	2022	9
9	Data efficiency assessment of generative adversarial networks in energy applications Energy and AI ·Umme Mahbuba Nabila, Linyu Lin, Xingang Zhao, William Gurecky, Pradeep Ramuhalli, Majdi I. Radaideh	2025	8
10	Adequacy evaluation of smoothed particle hydrodynamics methods for simulating the external-flooding scenario Nuclear Engineering and Design ·Linyu Lin, Niels Montanari, Steven Prescott, Ramprasad Sampath, Han Bao, Nam Dinh	2020	8
11	Data coverage assessment on neural network based digital twins for autonomous control system Annals of Nuclear Energy ·Longcong Wang, Linyu Lin, Nam Dinh	2022	8
12	Development and assessment of prognosis digital twin in a NAMAC system Annals of Nuclear Energy ·Linyu Lin, Anil Gurgen, Nam Dinh	2022	8
13	Detection method of the seat belt for workers at height based on UAV image and YOLO algorithm Array ·Yuzheng Liu, Jianxun Zhang, Lei Shi, Mingxiang Huang, Linyu Lin, Lingfeng Zhu, Xianglu Lin, Chuanlei Zhang	2024	7
14	Autonomous control for Heat-Pipe microreactor using Data-Driven model predictive control Annals of Nuclear Energy ·Linyu Lin, Joseph Oncken, Vivek Agarwal	2024	6
15	Trustworthiness modeling and evaluation for a nearly autonomous management and control system Reliability Engineering & System Safety ·Longcong Wang, Linyu Lin, Nam Dinh	2024	6
16	Development and Assessment of Smoothed Particle Hydrodynamics Method for Analysis of External Hazards. NCSU Libraries Repository (North Carolina State University Libraries) ·Linyu Lin	2018	5
17	Development and Assessment of Data-Driven Digital Twins in a Nearly Autonomous Management and Control System for Advanced Reactors Linyu Lin, Pascal Rouxelin, Paridhi Athe, Nam Dinh, J. W. Lane	2020	4
18	Multistep Criticality Search and Power Shaping in Nuclear Microreactors with Deep Reinforcement Learning Nuclear Science and Engineering ·Majdi I. Radaideh, Leo Tunkle, Dean Price, Kamal Abdulraheem, Linyu Lin, Moutaz Elias	2025	4
19	Predictive Capability Maturity Quantification Using Bayesian Network Linyu Lin, Nam Dinh	2020	4
20	Uncertainty Quantification and Software Risk Analysis for Digital Twins in the Nearly Autonomous Management and Control Systems: A Review arXiv (Cornell University) ·Linyu Lin, Han Bao, Nam Dinh	2021	3

About Linyu Lin

Linyu Lin is a scholar working on Control and Systems Engineering, Aerospace Engineering, Computational Mechanics, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 33 papers that have together received 272 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (12 papers), Nuclear Engineering Thermal-Hydraulics (8 papers), Risk and Safety Analysis (5 papers), Nuclear reactor physics and engineering (4 papers), Advanced Control Systems Optimization (4 papers), Fluid Dynamics and Heat Transfer (4 papers), Fluid Dynamics Simulations and Interactions (4 papers) and Process Optimization and Integration (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (59 citations), Control and Systems Engineering (108 citations), Industrial and Manufacturing Engineering (46 citations), Aerospace Engineering (87 citations) and Software (11 citations). Linyu Lin has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Nam Dinh, Han Bao, J. W. Lane, Robert Youngblood, Maria Avramova, Abhinav Gupta, Vivek Agarwal, Hongbin Zhang, Timothy McJunkin and Vivek Agarwal. Their work appears in journals such as Annals of Nuclear Energy, Reliability Engineering & System Safety, Nuclear Engineering and Technology, Energies and Array.

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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