World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
37
Citations
5527
World Ranking
2514
National Ranking
127

Hailiang Yang 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 Hailiang Yang 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: 187 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Hailiang Yang 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 Hailiang Yang 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: 37 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Hailiang Yang is affiliated with the University of Hong Kong in China and has contributed extensively to research across multiple fields including Engineering, Computer Science, and Materials Science. Their work spans numerous subfields such as Materials Chemistry, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, and Mechanical Engineering.

Their publications demonstrate a focus on topics including:

  • Carbon and Quantum Dots Applications
  • Luminescence and Fluorescent Materials
  • Privacy-Preserving Technologies in Data
  • Nanocluster Synthesis and Applications
  • Insurance and Financial Risk Management
  • UAV Applications and Optimization
  • Surface Treatment and Residual Stress

Hailiang Yang has published research in notable venues, with multiple papers appearing in Small and the IEEE Internet of Things Journal. Other publication venues include the Journal of Risk & Insurance, the Journal of Manufacturing Processes, and Coatings.

Recent papers with their publication year and venue include:

  • Insurance fraud detection with unsupervised deep learning, 2021, Journal of Risk & Insurance
  • Aiding a Disaster Spot via Multi-UAV-Based IoT Networks: Energy and Mission Completion Time-Aware Trajectory Optimization, 2021, IEEE Internet of Things Journal
  • Numerical studies on laser impact welding: Smooth particle hydrodynamics (SPH), Eulerian, and SPH-Lagrange, 2021, Journal of Manufacturing Processes
  • Energy-Efficient Multiprocessor-Based Computation and Communication Resource Allocation in Two-Tier Federated Learning Networks, 2022, IEEE Internet of Things Journal
  • Microstructural Charactistics of Plasma Sprayed NiCrBSi Coatings and Their Wear and Corrosion Behaviors, 2021, Coatings

The scientist frequently collaborates with several coauthors in their research. Prominent frequent coauthors include:

  • Rukhsana Ruby
  • Longyue Zhang
  • D. Guo
  • Yaoping Hu
  • Kaishun Wu

Best Publications

  • Optimal investment for insurer with jump-diffusion risk process

    Hailiang Yang;Lihong Zhang

  • Optimal Investment for an Insurer to Minimize Its Probability of Ruin

    Chi Sang Liu;Hailiang Yang

  • Precise large deviations for sums of random variables with consistently varying tails

    Kai W. Ng;Qihe Tang;Jia-An Yan;Hailiang Yang

  • Markowitz’s mean-variance asset-liability management with regime switching: A continuous-time model

    Ping Chen;Hailiang Yang;George Yin

  • A class of non-zero-sum stochastic differential investment and reinsurance games

    Alain Bensoussan;Alain Bensoussan;Chi Chung Siu;Sheung Chi Phillip Yam;Hailiang Yang

  • Non-exponential Bounds for Ruin Probability with Interest Effect Included

    Hailiang Yang

  • Some results on ruin probabilities in a two-dimensional risk model

    Wai-Sum Chan;Hailiang Yang;Lianzeng Zhang

  • On pricing derivatives under GARCH models: a dynamic Gerber-Shiu's approach

    Tak Kuen Siu;Howell Tong;Hailiang Yang

  • A Note on the Dividends-Penalty Identity and the Optimal Dividend Barrier

    Hans U. Gerber;X. Sheldon Lin;Hailiang Yang

  • Option pricing with regime switching by trinomial tree method

    Fei Lung Yuen;Hailiang Yang

  • Optimal dividend and capital injection problem in the dual model with proportional and fixed transaction costs

    Dingjun Yao;Hailiang Yang;Rongming Wang;Rongming Wang

  • Robust optimal excess-of-loss reinsurance and investment strategy for an insurer in a model with jumps

    Danping Li;Yan Zeng;Hailiang Yang

  • Technical Communique: Exponential stabilizability of stochastic systems with Markovian jumping parameters> >>altfn>This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by Editor Peter Dorato.

    E. K. Boukas;H. Yang

  • Optimal Dividends In An Ornstein-Uhlenbeck Type Model With Credit And Debit Interest

    Jun Cai;Hans U. Gerber;Hailiang Yang

  • Markowitz's Mean-Variance Asset–Liability Management with Regime Switching: A Multi-Period Model

    Ping Chen;Hailiang Yang

  • Pricing Annuity Guarantees Under a Regime-Switching Model

    X. Sheldon Lin;Ken Seng Tan;Hailiang Yang

  • Pricing currency options under two-factor Markov-modulated stochastic volatility models

    Tak Kuen Siu;Hailiang Yang;John W. Lau

  • Spectrally negative Lévy processes with applications in risk theory

    Hailiang Yang;Lianzeng Zhang

  • Absolute Ruin Probabilities in a Jump Diffusion Risk Model with Investment

    Hans U. Gerber;Hailiang Yang

  • The Omega model: from bankruptcy to occupation times in the red

    Hans U. Gerber;Hans U. Gerber;Elias S. W. Shiu;Hailiang Yang

  • MAXIMA OF SUMS OF HEAVY-TAILED RANDOM VARIABLES

    K.W. Ng;Q.H. Tang;H. Yang

Frequent Co-Authors

Tak Kuen Siu
Tak Kuen Siu Macquarie University
Hans U. Gerber
Hans U. Gerber University of Lausanne
Robert J. Elliott
Robert J. Elliott University of Calgary
Zhimin Zhang
Zhimin Zhang Wayne State University
George Yin
George Yin University of Connecticut
Qihe Tang
Qihe Tang University of New South Wales
Howell Tong
Howell Tong London School of Economics and Political Science
El-Kébir Boukas
El-Kébir Boukas Polytechnique Montréal
Dilip B. Madan
Dilip B. Madan University of Maryland, College Park
Gordon E. Willmot
Gordon E. Willmot University of Waterloo

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