World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
6665
World Ranking
4499
National Ranking
675

Overview

Jiakun Fang is affiliated with Huazhong University of Science and Technology in China. Their research primarily spans the field of Engineering, with a specialization in Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment, and Materials Chemistry.

The scientist's work covers multiple topics including Microgrid Control and Optimization, Smart Grid Energy Management, Hybrid Renewable Energy Systems, Electrocatalysts for Energy Conversion, Electric Power System Optimization, Integrated Energy Systems Optimization, and Advanced Battery Technologies Research.

Jiakun Fang has published extensively in several high-profile venues. Frequent publication venues include:

  • SSRN Electronic Journal
  • Applied Energy
  • IEEE Transactions on Smart Grid
  • International Journal of Electrical Power & Energy Systems
  • IEEE Transactions on Sustainable Energy

Their notable recent papers include:

  • "Schottky Heterojunction Nanosheet Array Achieving High-Current-Density Oxygen Evolution for Industrial Water Splitting Electrolyzers" (2021), published in Advanced Energy Materials
  • "Convolutional neural network-based power system transient stability assessment and instability mode prediction" (2020), published in Applied Energy
  • "Comparative study of alkaline water electrolysis, proton exchange membrane water electrolysis and solid oxide electrolysis through multiphysics modeling" (2022), published in Applied Energy
  • "Engineering a Local Free Water Enriched Microenvironment for Surpassing Platinum Hydrogen Evolution Activity" (2022), published in Angewandte Chemie International Edition
  • "2D CoOOH Sheet-Encapsulated Ni2P into Tubular Arrays Realizing 1000 mA cm−2-Level-Current-Density Hydrogen Evolution Over 100 h in Neutral Water" (2020), published in Nano-Micro Letters

In their collaborations, Jiakun Fang frequently coauthors with the following researchers:

  • Xiaomeng Ai
  • Jinyu Wen
  • Shichang Cui
  • Wei Yao
  • Danji Huang

Best Publications

  • Dynamic Optimal Energy Flow in the Integrated Natural Gas and Electrical Power Systems

    Jiakun Fang;Qing Zeng;Xiaomeng Ai;Zhe Chen

  • Steady-state analysis of the integrated natural gas and electric power system with bi-directional energy conversion

    Qing Zeng;Jiakun Fang;Jinghua Li;Jinghua Li;Zhe Chen

  • Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming

    Hang Shuai;Jiakun Fang;Xiaomeng Ai;Yufei Tang

  • Impact of Power Grid Strength and PLL Parameters on Stability of Grid-Connected DFIG Wind Farm

    Ju Liu;Wei Yao;Jinyu Wen;Jiakun Fang

  • Optimal Operation of the Integrated Electrical and Heating Systems to Accommodate the Intermittent Renewable Sources

    Jinghua Li;Jiakun Fang;Qing Zeng;Zhe Chen

  • Convolutional neural network-based power system transient stability assessment and instability mode prediction

    Zhongtuo Shi;Wei Yao;Lingkang Zeng;Jianfeng Wen

  • A bi-level programming for multistage co-expansion planning of the integrated gas and electricity system

    Qing Zeng;Baohua Zhang;Jiakun Fang;Zhe Chen

  • Impedance Modeling and Stability Analysis of Grid-Connected DFIG-Based Wind Farm With a VSC-HVDC

    Kun Sun;Wei Yao;Jiakun Fang;Xiaomeng Ai

  • Power System Structural Vulnerability Assessment Based on an Improved Maximum Flow Approach

    Jiakun Fang;Chi Su;Zhe Chen;Haishun Sun

  • Optimal Real-Time Operation Strategy for Microgrid: An ADP-Based Stochastic Nonlinear Optimization Approach

    Hang Shuai;Jiakun Fang;Xiaomeng Ai;Jinyu Wen

  • Security constrained co-planning of transmission expansion and energy storage

    Wei Gan;Xiaomeng Ai;Jiakun Fang;Jiakun Fang;Mingyu Yan

  • A coordinated dispatch method with pumped-storage and battery-storage for compensating the variation of wind power

    Unknown

  • Two-Level Combined Control Scheme of VSC-MTDC Integrated Offshore Wind Farms for Onshore System Frequency Support

    Yongxin Xiong;Wei Yao;Jianfeng Wen;Siqi Lin

  • Data-Adaptive Robust Optimization Method for the Economic Dispatch of Active Distribution Networks

    Yipu Zhang;Xiaomeng Ai;Jinyu Wen;Jiakun Fang

  • Dynamic modeling and small signal stability analysis of distributed photovoltaic grid-connected system with large scale of panel level DC optimizers

    Qin Wang;Wei Yao;Jiakun Fang;Xiaomeng Ai

  • Probabilistic Analysis of Commutation Failure in LCC-HVDC System Considering the CFPREV and the Initial Fault Voltage Angle

    Wei Yao;Chang Liu;Jiakun Fang;Xiaomeng Ai

  • Design of Anti-Windup Compensator for Energy Storage-Based Damping Controller to Enhance Power System Stability

    Jiakun Fang;Wei Yao;Zhe Chen;Jinyu Wen

  • A systematic approach for the joint dispatch of energy and reserve incorporating demand response

    Menglin Zhang;Xiaomeng Ai;Jiakun Fang;Wei Yao

  • Data-adaptive robust unit commitment in the hybrid AC/DC power system

    Bo Zhou;Xiaomeng Ai;Jiakun Fang;Wei Yao

  • Decentralized computation method for robust operation of multi-area joint regional-district integrated energy systems with uncertain wind power

    Wei Gan;Mingyu Yan;Wei Yao;Jianbo Guo

  • Stability analysis and energy storage-based solution of wind farm during low voltage ride through

    Ju Liu;Wei Yao;Jiakun Fang;Jinyu Wen

Frequent Co-Authors

Jinyu Wen
Jinyu Wen Huazhong University of Science and Technology
Xiaomeng Ai
Xiaomeng Ai Huazhong University of Science and Technology
Zhe Chen
Zhe Chen Aalborg University
Haibo He
Haibo He University of Rhode Island
Shijie Cheng
Shijie Cheng Huazhong University of Science and Technology
Lin Jiang
Lin Jiang University of Liverpool
Qiuwei Wu
Qiuwei Wu Technical University of Denmark
Xiongfei Wang
Xiongfei Wang Royal Institute of Technology
Wei-Jen Lee
Wei-Jen Lee The University of Texas at Arlington
Li Ren
Li Ren South China University of Technology

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