World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
32
Citations
3970
World Ranking
3217
National Ranking
16

Yi-Kuei Lin publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Yi-Kuei Lin sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 206 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Yi-Kuei Lin D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Yi-Kuei Lin sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 32 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Yi-Kuei Lin is affiliated with National Yang Ming Chiao Tung University in Taiwan with a primary research focus in the field of engineering. Their work predominantly spans topics related to safety, risk, reliability, and quality, as well as industrial and manufacturing engineering. Additional areas of study include statistics, probability and uncertainty, strategy and management, and software.

Their research concentrates on several main topics including reliability and maintenance optimization, risk and safety analysis, software reliability and analysis research, supply chain resilience and risk management, transportation planning and optimization, facility location and emergency management, and sustainable supply chain management.

Yi-Kuei Lin has authored multiple papers published in notable journals. Recent publications include:

  • Network reliability evaluation for a distributed network with edge computing, 2020, Computers & Industrial Engineering
  • Reliability evaluation of a multistate railway transportation network from the perspective of a travel agent, 2021, Reliability Engineering & System Safety
  • A multi-state network to evaluate network reliability with maximal and minimal capacity vectors by using recursive sum of disjoint products, 2021, Expert Systems with Applications
  • Reliability and maintenance models for a time-related multi-state flow network via d-MC approach, 2021, Reliability Engineering & System Safety
  • A novel approach to predict network reliability for multistate networks by a deep neural network, 2021, Quality Technology & Quantitative Management

The scientist frequently collaborates with a consistent group of coauthors, including:

  • Ding-Hsiang Huang
  • Thi-Phuong Nguyen
  • Kuan-Yu Lin
  • Cheng-Fu Huang
  • Ping-Chen Chang

Yi-Kuei Lin's work is regularly published in several core venues, with multiple papers appearing in:

  • Annals of Operations Research
  • Reliability Engineering & System Safety
  • IEEE Transactions on Reliability
  • Computers & Industrial Engineering
  • Expert Systems with Applications

Best Publications

  • A simple algorithm for reliability evaluation of a stochastic-flow network with node failure

    Yi-Kuei Lin

  • Using minimal cuts to evaluate the system reliability of a stochastic-flow network with failures at nodes and arcs

    Yi-Kuei Lin

  • Extend the quickest path problem to the system reliability evaluation for a stochastic-flow network

    Yi-Kuei Lin

  • Reliability of a stochastic-flow network with unreliable branches & nodes, under budget constraints

    Yi-Kuei Lin

  • Reliability Evaluation for an Information Network With Node Failure Under Cost Constraint

    Yi-Kuei Lin

  • Multi-objective optimization for stochastic computer networks using NSGA-II and TOPSIS

    Yi-Kuei Lin;Cheng-Ta Yeh

  • On a multicommodity stochastic-flow network with unreliable nodes subject to budget constraint

    Yi-Kuei Lin

  • ON RELIABILITY EVALUATION OF A STOCHASTIC-FLOW NETWORK IN TERMS OF MINIMAL CUTS

    Yi-Kuei Lin

  • System Reliability Evaluation for a Multistate Supply Chain Network With Failure Nodes Using Minimal Paths

    Yi-Kuei Lin

  • On performance evaluation of ERP systems with fuzzy mathematics

    Shin-Guang Chen;Yi-Kuei Lin

  • Maintenance reliability estimation for a cloud computing network with nodes failure

    Yi-Kuei Lin;Ping Chen Chang

  • Two-commodity reliability evaluation of a stochastic-flow network with varying capacity weight in terms of minimal paths

    Yi-Kuei Lin

  • Study on the multicommodity reliability of a capacitated-flow network☆

    Yi-Kuei Lin

  • Evaluate the performance of a stochastic-flow network with cost attribute in terms of minimal cuts

    Yi-Kuei Lin

  • Searching for d-MPs with fast enumeration

    Shin Guang Chen;Yi-Kuei Lin

  • Maximal network reliability for a stochastic power transmission network

    Yi-Kuei Lin;Cheng Ta Yeh

  • Bi-objective optimization for a multistate job-shop production network using NSGA-II and TOPSIS

    Yi-Kuei Lin;Ping Chen Chang;Louis Cheng Lu Yeng;Shang Fu Huang

  • System reliability estimation and sensitivity analysis for multi-state manufacturing network with joint buffers––A simulation approach

    Ping Chen Chang;Yi-Kuei Lin;Yu Min Chiang

  • System reliability for a multistate intermodal logistics network with time windows

    Yi Kuei Lin;Cheng Fu Huang;Yi Chieh Liao;Chih Ching Yeh;Chih Ching Yeh

  • A Novel Reliability Evaluation Technique for Stochastic-Flow Manufacturing Networks With Multiple Production Lines

    Yi-Kuei Lin;Ping-Chen Chang

  • Evaluate the system reliability for a manufacturing network with reworking actions

    Yi-Kuei Lin;Ping Chen Chang

  • Evaluation of Optimal Network Reliability Under Components-Assignments Subject to a Transmission Budget

    Yi-Kuei Lin;Cheng-Ta Yeh

Frequent Co-Authors

Shey-Huei Sheu
Shey-Huei Sheu Asian University
Hoang Pham
Hoang Pham Rutgers, The State University of New Jersey
Pei-Chann Chang
Pei-Chann Chang Yuan Ze University

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