Yi‐Kuei Lin

247 papers receiving 3.7k citations

Peers

Yi‐Kuei Lin
Comparison fields: 5 of 121
  • Safety, Risk, Reliability and Quality 2.2k
  • Statistics, Probability and Uncertainty 1.1k
  • Software 1.0k
  • Industrial and Manufacturing Engineering 727
  • Management Information Systems 625
Replace Shubin Si with:
Shubin Si China
Geert‐Jan van Houtum Netherlands
Mustapha Nourelfath Canada
El‐Houssaine Aghezzaf Belgium
Tongdan Jin United States
Edward Pohl United States
Gregory Levitin Israel
D. N. Prabhakar Murthy Australia
Hoang Pham United States
Toshio Nakagawa Japan
Yi‐Kuei Lin relative to Shubin Si China Shubin Si's profile →
Citations per field
00.5×3.5×
Shubin Si · 1×
Citations per year

Countries citing papers authored by Yi‐Kuei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Kuei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi‐Kuei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Kuei Lin. A scholar is included among the top collaborators of Yi‐Kuei Lin 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 Yi‐Kuei Lin. Yi‐Kuei Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 1
5 8
6 2
7 9
8 3
9 3
10 11
11 1
12 16
13
Performance indicator for a stochastic-flow manufacturing network with reworking actions based on reliability
1
14
SYSTEM RELIABILITY WITH ROUTING SCHEME FOR A STOCHASTIC COMPUTER NETWORK UNDER ACCURACY RATE
2
15 43
16 23
17
Maintenance reliability of a computer network with nodes failure in the cloud computing environment
3
18
MAXIMIZING NETWORK RELIABILITY FOR STOCHASTIC TRANSPORTATION NETWORKS UNDER A BUDGET CONSTRAINT BY USING A GENETIC ALGORITHM
11
19 3
20
Flow assignment of a stochastic flow network with multiple node pairs
5

About Yi‐Kuei Lin

Yi‐Kuei Lin is a scholar working on Software, Safety, Risk, Reliability and Quality and Statistics, Probability and Uncertainty, having authored 253 papers that have together received 3.8k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (172 papers), Software Reliability and Analysis Research (85 papers) and Risk and Safety Analysis (53 papers). The work is most often cited by research in Software (1.0k citations), Safety, Risk, Reliability and Quality (2.2k citations) and Statistics, Probability and Uncertainty (1.1k citations). Yi‐Kuei Lin has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Ping‐Chen Chang, Cheng-Ta Yeh, Cheng‐Fu Huang, Shin-Guang Chen, Ding‐Hsiang Huang, Hung-Yi Wu, Lance Fiondella, James C. Chen, John Yuan and Hoang Pham. Their work appears in journals such as Journal of Cleaner Production, European Journal of Operational Research and International Journal of Radiation Oncology*Biology*Physics.

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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