World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
67
Citations
17007
World Ranking
1302
National Ranking
255

Overview

Yang Zhao is affiliated with the Beijing Institute of Technology in China, specializing in the fields of Engineering and Materials Science. Their work spans several subfields, including Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Biomedical Engineering, Materials Chemistry, and Renewable Energy, Sustainability and the Environment.

Their research primarily focuses on Supercapacitor Materials and Fabrication, Advancements in Battery Materials, and Advanced Battery Technologies. Additional topics include Advanced Sensor and Energy Harvesting Materials, Electrocatalysts for Energy Conversion, and Conducting Polymers and Applications.

Yang Zhao has published extensively in various scientific venues. Frequent publication outlets include:

  • Chemical Engineering Journal
  • SSRN Electronic Journal
  • Journal of Energy Storage
  • Nature Communications
  • Small

The scientist has recently contributed to several papers, highlighting advancements in energy storage technologies. Notable publications include:

  • A seamlessly integrated device of micro-supercapacitor and wireless charging with ultrahigh energy density and capacitance, 2021, Nature Communications
  • Stretchable supercapacitor at −30 °C, 2021, Energy & Environmental Science
  • Metal/Metal Oxide Nanoparticles-Composited Porous Carbon for High-Performance Supercapacitors, 2021, Journal of Energy Storage
  • Ultrafast Shaped Laser Induced Synthesis of MXene Quantum Dots/Graphene for Transparent Supercapacitors, 2022, Advanced Materials
  • A Flexible Aqueous Zinc-Iodine Microbattery with Unprecedented Energy Density, 2022, Advanced Materials

Throughout their career, Yang Zhao has collaborated frequently with other researchers. Prominent coauthors include:

  • Liangti Qu
  • Xinqun Zhang
  • Xuting Jin
  • Chunlong Dai
  • Yukun Xiao

Best Publications

  • Atomically Thin Mesoporous Nanomesh of Graphitic C3N4 for High-Efficiency Photocatalytic Hydrogen Evolution

    Qing Han;Bing Wang;Jian Gao;Zhihua Cheng

  • Vertically Aligned Graphene Sheets Membrane for Highly Efficient Solar Thermal Generation of Clean Water

    Panpan Zhang;Jing Li;Lingxiao Lv;Yang Zhao

  • Graphene-based smart materials

    Xiaowen Yu;Huhu Cheng;Miao Zhang;Yang Zhao

  • A short-term building cooling load prediction method using deep learning algorithms

    Cheng Fan;Fu Xiao;Yang Zhao

  • Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future

    Yang Zhao;Tingting Li;Xuejun Zhang;Chaobo Zhang

  • Occupancy measurement in commercial office buildings for demand-driven control applications : a survey and detection system evaluation

    TM Timilehin Labeodan;W Wim Zeiler;G Gert Boxem;Y Yang Zhao

  • Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods

    Yang Zhao;Peng Liu;Zhenpo Wang;Lei Zhang

  • Preparation of Monolayer MoS 2 Quantum Dots using Temporally Shaped Femtosecond Laser Ablation of Bulk MoS 2 Targets in Water.

    Bo Li;Lan Jiang;Xin Li;Peng Ran

  • A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries

    Fangfang Yang;Dong Wang;Yang Zhao;Kwok Leung Tsui

  • A capacity recoverable zinc-ion micro-supercapacitor

    Guoqiang Sun;Hongsheng Yang;Guofeng Zhang;Jian Gao

  • Pattern recognition-based chillers fault detection method using Support Vector Data Description (SVDD)

    Yang Zhao;Shengwei Wang;Fu Xiao

  • A review of data mining technologies in building energy systems: Load prediction, pattern identification, fault detection and diagnosis

    Yang Zhao;Chaobo Zhang;Yiwen Zhang;Zihao Wang

  • Deep learning-based feature engineering methods for improved building energy prediction

    Cheng Fan;Yongjun Sun;Yang Zhao;Mengjie Song

  • Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data

    Cheng Fan;Fu Xiao;Yang Zhao;Jiayuan Wang

  • Sparsity guided empirical wavelet transform for fault diagnosis of rolling element bearings

    Dong Wang;Yang Zhao;Cai Yi;Cai Yi;Kwok-Leung Tsui

  • MnO 2 -modified hierarchical graphene fiber electrochemical supercapacitor

    Qing Chen;Yuning Meng;Chuangang Hu;Yang Zhao

  • An intelligent chiller fault detection and diagnosis methodology using Bayesian belief network

    Yang Zhao;Fu Xiao;Shengwei Wang

  • Graphene Platforms for Smart Energy Generation and Storage

    Minghui Ye;Zhipan Zhang;Yang Zhao;Liangti Qu;Liangti Qu

  • Renewable energy system optimization of low/zero energy buildings using single-objective and multi-objective optimization methods

    Yuehong Lu;Shengwei Wang;Yang Zhao;Chengchu Yan

  • Mesh‐on‐Mesh Graphitic‐C3N4@Graphene for Highly Efficient Hydrogen Evolution

    Qing Han;Zhihua Cheng;Jian Gao;Yang Zhao

Frequent Co-Authors

Liangti Qu
Liangti Qu Tsinghua University
Kwok-Leung Tsui
Kwok-Leung Tsui Virginia Tech
Lan Jiang
Lan Jiang Beijing Institute of Technology
Dong Wang
Dong Wang Shanghai Jiao Tong University
Fu Xiao
Fu Xiao Hong Kong Polytechnic University
Shengwei Wang
Shengwei Wang Hong Kong Polytechnic University
Nan Chen
Nan Chen Beijing Institute of Technology
Fei Zhao
Fei Zhao Beijing Institute of Technology
Qiang Fu
Qiang Fu Dalian Institute of Chemical Physics
Huhu Cheng
Huhu Cheng Tsinghua University

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