World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
8051
World Ranking
12900
National Ranking
5204

Mathematics

D-Index
31
Citations
6797
World Ranking
3277
National Ranking
1295

Yongpei Guan 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 Yongpei Guan 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: 82 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: 70 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Yongpei Guan 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 Yongpei Guan 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: 137 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: 31 D-Index — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Overview

Yongpei Guan is affiliated with the University of Florida in the United States and conducts research primarily within the field of engineering. Their work focuses extensively on electrical and electronic engineering, with additional contributions in strategy and management, industrial and manufacturing engineering, management information systems, and pollution.

The scientist's research topics cover a range of areas related to energy systems and supply chains. Key areas include:

  • Electric Power System Optimization
  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Supply Chain Resilience and Risk Management
  • Energy and Environment Impacts
  • Global Energy and Sustainability Research
  • Sustainable Supply Chain Management

Yongpei Guan has published multiple papers in various academic venues. Prominent among these are:

  • "Security-Constrained Unit Commitment for Electricity Market: Modeling, Solution Methods, and Future Challenges" (2022), published in IEEE Transactions on Power Systems
  • "An Extended Integral Unit Commitment Formulation and an Iterative Algorithm for Convex Hull Pricing" (2020), published in IEEE Transactions on Power Systems
  • "Multistage Stochastic Power Generation Scheduling Co-Optimizing Energy and Ancillary Services" (2020), published in INFORMS journal on computing
  • "A comprehensive methodology combining machine learning and unified robust stochastic programming for medical supply chain viability" (2024), published in Omega
  • "Multi-objective MILP model for PMU allocation considering enhanced gross error detection: A weighted goal programming framework" (2020), published in Electric Power Systems Research

The most frequent venues of publication include:

  • IEEE Transactions on Power Systems
  • INFORMS journal on computing
  • arXiv (Cornell University)
  • Operations Research Letters
  • Omega

Throughout their career, Yongpei Guan has collaborated often with several coauthors. Frequent collaborators include Yonghong Chen, Ömer Faruk Yılmaz, Beren Gürsoy Yılmaz, Yanan Yu, and Kai Pan.

Best Publications

  • Robust Unit Commitment With Wind Power and Pumped Storage Hydro

    Ruiwei Jiang;Jianhui Wang;Yongpei Guan

  • A chance-constrained two-stage stochastic program for unit commitment with uncertain wind power output

    Qianfan Wang;Yongpei Guan;Jianhui Wang

  • Multi-stage robust unit commitment considering wind and demand response uncertainties

    Chaoyue Zhao;Jianhui Wang;Jean-Paul Watson;Yongpei Guan

  • Optimal deployment of public charging stations for plug-in hybrid electric vehicles

    Fang He;Di Wu;Yafeng Yin;Yongpei Guan

  • Data-driven chance constrained stochastic program

    Ruiwei Jiang;Yongpei Guan

  • Unified Stochastic and Robust Unit Commitment

    Chaoyue Zhao;Yongpei Guan

  • Data-driven risk-averse stochastic optimization with Wasserstein metric

    Chaoyue Zhao;Yongpei Guan

  • The berth allocation problem: models and solution methods

    Yongpei Guan;Raymond K. Cheung

  • Two-stage robust optimization for N-k contingency-constrained unit commitment

    Qianfan Wang;Jean-Paul Watson;Yongpei Guan

  • Data-Driven Stochastic Unit Commitment for Integrating Wind Generation

    Chaoyue Zhao;Yongpei Guan

  • Two-Stage Minimax Regret Robust Unit Commitment

    Ruiwei Jiang;Jianhui Wang;Muhong Zhang;Yongpei Guan

  • Stochastic Unit Commitment With Uncertain Demand Response

    Qianfan Wang;Jianhui Wang;Yongpei Guan

  • A multiprocessor task scheduling model for berth allocation: heuristic and worst-case analysis

    Yongpei Guan;Wen-Qiang Xiao;Raymond K Cheung;Chung-Lun Li

  • Uncertainty Sets for Robust Unit Commitment

    Yongpei Guan;Jianhui Wang

  • A decomposition approach to the two-stage stochastic unit commitment problem

    Qipeng P. Zheng;Jianhui Wang;Panos M. Pardalos;Panos M. Pardalos;Yongpei Guan

  • Two-stage network constrained robust unit commitment problem

    Ruiwei Jiang;Muhong Zhang;Guang Li;Yongpei Guan

  • Risk-Averse Two-Stage Stochastic Program with Distributional Ambiguity

    Ruiwei Jiang;Yongpei Guan

  • A branch-and-cut algorithm for the stochastic uncapacitated lot-sizing problem

    Yongpei Guan;Shabbir Ahmed;George L. Nemhauser;Andrew J. Miller

  • Expected Value and Chance Constrained Stochastic Unit Commitment Ensuring Wind Power Utilization

    Chaoyue Zhao;Qianfan Wang;Jianhui Wang;Yongpei Guan

  • Price-Based Unit Commitment With Wind Power Utilization Constraints

    Qianfan Wang;Jianhui Wang;Yongpei Guan

  • Multi-Stage Robust Unit Commitment Considering Wind and Demand Response Uncertainties.

    Jean-Paul Watson;Chaoyue Zhao;Yongpei Guan;Jianhui Wang

  • Two-Stage Robust Optimization for N-K Contingency-Constrained Unit Commitment.

    Jean-Paul Watson;QIanfan Wang;Yongpei Guan

Frequent Co-Authors

Jianhui Wang
Jianhui Wang Southern Methodist University
Jean-Paul Watson
Jean-Paul Watson Lawrence Livermore National Laboratory
Shabbir Ahmed
Shabbir Ahmed Georgia Institute of Technology
George L. Nemhauser
George L. Nemhauser Georgia Institute of Technology
Panos M. Pardalos
Panos M. Pardalos University of Florida
Stan Uryasev
Stan Uryasev Stony Brook University
Yafeng Yin
Yafeng Yin University of Michigan–Ann Arbor
Chung-Lun Li
Chung-Lun Li Hong Kong Polytechnic University
Yong Fu
Yong Fu Mississippi State University
Lei Wu
Lei Wu Stevens Institute of Technology

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