World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
7376
World Ranking
7620
National Ranking
457

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

Ulas Bagci
Ulas Bagci Northwestern University
Linlin Shen
Linlin Shen Shenzhen University
Erik Blasch
Erik Blasch United States Air Force Research Laboratory
Haibin Ling
Haibin Ling Westlake University
Jayaram K. Udupa
Jayaram K. Udupa University of Pennsylvania
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
Jie Wu
Jie Wu Temple University
Penny A. Gowland
Penny A. Gowland University of Nottingham

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