Linyu Lin

579 citations
35 papers · 301 · h-index 9

Impact in

Papers in

Linyu Lin

31 papers receiving 290 citations

Peers

Linyu Lin
Comparison fields: 5 of 53
  • Statistics, Probability and Uncertainty 62
  • Control and Systems Engineering 106
  • Industrial and Manufacturing Engineering 43
  • Aerospace Engineering 88
  • Medical Laboratory Technology 4
Replace Arinan De Piemonte Dourado with:
Arinan De Piemonte Dourado United States
Jingquan Liu China
Xiaohu Zheng China
Ioanna Aslanidou Sweden
Junyu Chen China
Nhu Van Nguyen South Korea
Kavindu C. Ranasinghe Australia
Roberto d’Ippolito United Kingdom
Da Teng China
Anis Ben Abdessalem France
Linyu Lin relative to Arinan De Piemonte Dourado United States Arinan De Piemonte Dourado's profile →
Citations per field
00.5×2×2.8×
Arinan De Piemonte Dourado · 1×
Citations per year

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

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202162
2 202043
3 202026
4 202125
5 202117
6 202514
7 202211
8 202310
9 20249
10 20229
11 20228
12 20228
13 20208
14 20248
15 20247
16
Development and Assessment of Smoothed Particle Hydrodynamics Method for Analysis of External Hazards.
20185
17 20204
18 20254
19 20253
20 20203

About Linyu Lin

Linyu Lin is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Aerospace Engineering, Computational Mechanics and Artificial Intelligence, having authored 35 papers that have together received 301 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (12 papers), Nuclear Engineering Thermal-Hydraulics (9 papers), Nuclear reactor physics and engineering (5 papers), Risk and Safety Analysis (5 papers), Fluid Dynamics and Heat Transfer (4 papers), Fluid Dynamics Simulations and Interactions (4 papers), Advanced Control Systems Optimization (4 papers) and Fuel Cells and Related Materials (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (62 citations), Control and Systems Engineering (106 citations), Industrial and Manufacturing Engineering (43 citations), Aerospace Engineering (88 citations) and Medical Laboratory Technology (4 citations). Linyu Lin has collaborated with scholars based in United States, Vietnam and China. Frequent co-authors include Nam T. Dinh, Han P. Bao, Jeffrey W. Lane, Robert Youngblood, Abhinav Gupta, Maria N. Avramova, Vivek Agarwal, Hongbin Zhang, Vivek Agarwal and Timothy McJunkin. Their work appears in journals such as Annals of Nuclear Energy, Reliability Engineering & System Safety, Energy and AI, Nuclear Technology and Energies.

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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