World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
7376
World Ranking
7619
National Ranking
455

Li Bai publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Li Bai sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 262 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Li Bai D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Li Bai sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Li Bai is affiliated with the University of Nottingham in the United Kingdom. Their research spans multiple areas within the engineering discipline, with a focus on subfields such as Electrical and Electronic Engineering, Materials Chemistry, Mechanical Engineering, Statistical and Nonlinear Physics, and Renewable Energy, Sustainability and the Environment.

Their recent publications reflect an emphasis on thermodynamics, advanced materials, and integrated energy systems. Notable research works include:

  • A new biomass-natural gas dual fuel hybrid cooling and power process integrated with waste heat recovery process: Exergoenvironmental and exergoeconomic assessments (2023, Process Safety and Environmental Protection)
  • Hierarchical MoS2/carbon composites as superior anode for advanced sodium-ion battery (2022, Ionics)
  • Variable heat pricing to steer the flexibility of heat demand response in district heating systems (2022, Electric Power Systems Research)
  • Shifting institutional culture to develop climate solutions with Open Science (2024, UNC Libraries)

Frequent coauthors in their work include Muhammad Asadollahzadeh, Bhupendra Singh Chauhan, M. A. Abdrabboh, Mohamed Fayed, and Hamdi Ayed. These collaborations suggest interdisciplinary efforts across various engineering and material science topics.

The venues where Li Bai has published indicate the dissemination of their research through journals specializing in process safety, materials chemistry, and energy systems. These include Process Safety and Environmental Protection, Ionics, Electric Power Systems Research, and UNC Libraries.

Main topics covered by Li Bai's research include:

  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Advanced Thermodynamics and Statistical Mechanics
  • Solar Thermal and Photovoltaic Systems
  • Advancements in Battery Materials
  • MXene and MAX Phase Materials
  • Graphene research and applications
  • Integrated Energy Systems Optimization

Overall, Li Bai's body of work is situated within engineering, with a strong focus on energy systems, material innovation for batteries, and sustainable technological solutions. The research contributions encompass theoretical analyses as well as applied engineering studies, reflecting a diverse engagement across related subfields and topics within contemporary engineering challenges.

Best Publications

  • Cosine similarity metric learning for face verification

    Hieu V. Nguyen;Li Bai

  • A review on Gabor wavelets for face recognition

    Linlin Shen;Li Bai

  • Minimum error bounded efficient ℓ1 tracker with occlusion detection.

    Xue Mei;Haibin Ling;Yi Wu;Erik Blasch

  • Gabor wavelets and General Discriminant Analysis for face identification and verification

    LinLin Shen;Li Bai;Michael Fairhurst

  • Efficient Minimum Error Bounded Particle Resampling L1 Tracker With Occlusion Detection

    Xue Mei;Haibin Ling;Yi Wu;E. P. Blasch

  • Multiple source data fusion via sparse representation for robust visual tracking

    Yi Wu;Erik Blasch;Genshe Chen;Li Bai

  • Tailored RF Pulse for Magnetization Inversion at Ultrahigh Field

    Aaron C. Hurley;Ali Al-Radaideh;Li Bai;Uwe Aickelin

  • Face authentication test on the BANCA database

    K. Messer;J. Kittler;M. Sadeghi;M. Hamouz

  • Real-Time Probabilistic Covariance Tracking With Efficient Model Update

    Yi Wu;Jian Cheng;Jinqiao Wang;Hanqing Lu

  • MutualBoost learning for selecting Gabor features for face recognition

    Linlin Shen;Li Bai

  • Deep Learning in Visual Computing and Signal Processing

    Danfeng Xie;Lei Zhang;Li Bai

  • Implementation of high-order variational models made easy for image processing

    Wenqi Lu;Jinming Duan;Zhaowen Qiu;Zhenkuan Pan

  • Denoising optical coherence tomography using second order total generalized variation decomposition

    Jinming Duan;Wenqi Lu;Christopher R. Tench;Irene Gottlob

  • Multiple Kernel Learning for vehicle detection in wide area motion imagery

    Pengpeng Liang;Gregory Teodoro;Haibin Ling;Erik Blasch

  • Technical Section: Fitting 3D garment models onto individual human models

    Jituo Li;Juntao Ye;Yangsheng Wang;Li Bai

  • AdaBoost Gabor Feature Selection for Classification

    LinLin Shen;Li Bai

  • Introducing Willmore Flow Into Level Set Segmentation of Spinal Vertebrae

    Poay Hoon Lim;U. Bagci;Li Bai

  • Robust infrared vehicle tracking across target pose change using L 1 regularization

    Haibin Ling;Li Bai;Erik Blasch;Xue Mei

  • Robust Road Modeling and Tracking Using Condensation

    Yan Wang;Li Bai;M. Fairhurst

  • A strong ramp secret sharing scheme using matrix projection

    Li Bai

  • A Novel Eye Location Algorithm based on Radial Symmetry Transform

    Li Bai;Linlin Shen;Yan Wang

Frequent Co-Authors

Jinming Duan
Jinming Duan University of Manchester
Ulas Bagci
Ulas Bagci Northwestern University
Linlin Shen
Linlin Shen Shenzhen University
Erik Blasch
Erik Blasch United States Air Force Research Laboratory
Jayaram K. Udupa
Jayaram K. Udupa University of Pennsylvania
Haibin Ling
Haibin Ling Westlake University
Dorothee P. Auer
Dorothee P. Auer University of Nottingham
Genshe Chen
Genshe Chen Intelligent Fusion Technology (United States)
Stamatios N. Sotiropoulos
Stamatios N. Sotiropoulos University of Nottingham
Penny A. Gowland
Penny A. Gowland University of Nottingham

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