Author

Jiashu Fang

Institutions: University of Electronic Science and Technology of China, Southwest Jiaotong University

Observed institutions: University of Electronic Science and Technology of China, North China Electric Power University, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Southwest Jiaotong University

ORCID: 0000-0001-7660-5848

Observed ORCID: 0000-0001-7660-5848

OpenAlex ID: A5042880414

An Explainable and Robust Method for Fault Classification and Location on Transmission Lines

2023 · Jiashu Fang, Kunjin Chen, et al. · IEEE Transactions on Industrial Informatics · 39

A data-driven method for online transient stability monitoring with vision-transformer networks

2023 · Jiashu Fang, Chongru Liu, et al. · International Journal of Electrical Power & Energy Systems · 27

A Data-Driven Case Generation Model for Transient Stability Assessment Using Generative Adversarial Networks

2024 · Jiashu Fang, Le Zheng, et al. · IEEE Transactions on Industrial Informatics · 20

A Novel Method for Missing Data Reconstruction in Smart Grid Using Generative Adversarial Networks

2023 · Jiashu Fang, Le Zheng, et al. · IEEE Transactions on Industrial Informatics · 19

Artificial intelligence techniques for stability analysis in modern power systems

2024 · Jiashu Fang, Chongru Liu · iEnergy · 10

A Novel Transfer Learning Method for Sub/Super-Synchronous Oscillation Mode Identification in Power Systems

2025 · Jiashu Fang, Lingran Kong, et al. · IEEE Internet of Things Journal · 4

Analysis of Active Power Frequency Fluctuations and Frequency Response in Wind Turbine Generators

2025 · Chenbo Su, Wenchuan Wu, et al. · International Conference on Power and Renewable Energy (ICPRE) · 1

A Deep Learning-Based Fire Detection Method for Power Distribution Substations

2026 · Yuhai Yao, Zihan Cong, et al. · Applied Sciences

A Deep Learning-Based Monitoring Framework for Foreign Object Detection in Power Distribution Substations

2026 · Qiao Zhao, Yuhai Yao, et al. · Processes

A data-driven rapidly predictive identification method for the sub/super-synchronous oscillation dominant frequency of the new energy power system

2026 · Chongru Liu, Lingran Kong, et al. · iEnergy

A Wavelet-Transform-Inspired Deep Convolutional Method for Sub/Super-Synchronous Oscillation Frequency Identification in Smart Grids

2026 · Jiashu Fang, Chenbo Su, et al. · IEEE Transactions on Sustainable Energy

A Single Wind Farm Localization Method for Sub-/Super-Synchronous Oscillation of Direct-Drive Wind Farm Based on Meta-Learning

2025 · Lingran Kong, Chongru Liu, et al.

Works count: 12

Citation count: 120

H-index: 5

I10-index: 5