Scopus：https://www.scopus.com/authid/detail.uri?authorId=26027481400

• Feng-Chang Gu, Hung-Cheng Chen*, Jian-Yong Bian, Chun-Liang Hsu, and Ting-Jui Yang, “Induction motor fault diagnosis based on discrete fractional Fourier transform of stator current,” Sensors and Materials, vol. xx, no. xx, pp. xx - ,xx. (SCI/EI), accept.
• Ping-Tzan Huang, Shih-Kuen Changchien, Feng-Chang Gu, and Chia-Hung Lin.*, “Increasing generation capacity of natural gas and renewable energy for economic dispatch benefit and carbon credit allocation in perspective of power generation end,” The Journal of Engineering.vol. 1, pp. xx-xx, Jan. 2025. (SCI/EI)
• Ping-Tzan Huang,Feng-Chang Gu,Chia-Hung Lin*,Chao-Lin Kuo,Neng-Sheng Pai,Yung-Chang Luo, andWen-Cheng Pus, “Combining endpoint detection and one-dimensional CNN based classifier for non-technical loss screening in smart grids,”  IEEE Access. vol. 13, pp. 27994-28007, Feb. 2025. (SCI/EI)
• Feng-Chang Gu*, “Application of the convolutional neural network in partial discharge spectrum recognition of power apparatus,” IET Science, Measurement and Technology, vol. 17, no. 4, pp. 137-146, 2023. (SCI/EI) (IF=1.517)
• Chia-Hung Lin*, Feng-Chang Gu, Jian-Xing Wu, and Chao-Lin Kuo*, “Nontechnical loss detection with duffing–holmes self-synchronization dynamic errors and 1D CNN-based multilayer classifier in a smart grid,” IEEE Access, vol. 10, pp. 83002-83016, Jul. 2022. (SCIE), (IF=3.478)
• Feng-Chang Gu, Hung-Cheng Chen*, “Modeling and control of vanadium redox flow battery for smoothing wind power fluctuation,”IET Renewable Power Generation, vol. 15, no. 15 pp. 3552-3563, 2021. (SCI/EI) (IF:3.93)
• Feng-Chang Gu, Hung-Cheng Chen*, “An anti-fluctuation compensator design and its control strategy for wind farm system,”Energies, vol. 14, no. 19, 6413, 2021. (SCI/EI) (IF:3.004)
• Feng-Chang Gu*, “Identification of partial discharge defects in gas-insulated switchgears by using a deep learning method,” IEEE ACCESS, vol. 8, pp. 163894-163902, 2020. (SCI/EI) (IF:3.367)
• Feng-Chang Gu, Hung-Cheng Chen*, Kun-Yi Li, “Mathematic modeling and performance analysis of vanadium redox flow battery,”Energy & Fuels, vol. 34, no. 8 pp. 10142-10147, 2020. (SCI/EI) (IF:3.605)
• Shing-Lih Wu, Shin-Shiuan Li, Feng-Chang Gu, Po-Hung Chen, and Hung-Cheng Chen*, “Application of supercapacitors in photovoltaic power generation system,” Sensors and Materials, vol. 31, no. 11, pp. 3583-3597, 2019. (SCI/EI) (IF:0.4)
• Feng-Chang Gu, Hong-Chan Chang*, Yu-Min Hsueh, Cheng-Chien Kuo, and Bo-Rui Chen, “Development of a high-speed data acquisition card for partial discharge measurement,”IEEE ACCESS, vol. 7, pp. 140312-140318, 2019. (SCI/EI) (IF:3.367)
• Feng-Chang Gu, Shiue-Der Lu, Jian-Xing Wu, Chao-Lin Kuo, Chia-Hung Lin*, and Shi-Jaw Chen, “Interruptible power estimation and auxiliary service allocation using contract theory and dynamic game for demand response in aggregator business model,”IEEE ACCESS, vol. 7, pp. 129975-129987, 2019. (SCI/EI) (IF:3.367)
• Feng-Chang Gu, Her-Terng Yau, and Hung-Cheng Chen*, “Application of chaos synchronization technique and pattern clustering for diagnosis analysis of partial discharge in power cables,”IEEE ACCESS, vol. 7, pp. 76185-76193, 2019. (SCI/EI) (IF:3.367)
• Feng Chang Gu, Hung Cheng Chen*, and Bo Yan Chen, “A fractional Fourier transform-based approach for gas-insulated switchgear partial discharge recognition,”Journal of Electrical Engineering & Technology, vol. 14, no. 5, pp. 2073-2084, 2019. (SCI/EI) (IF:0.736)
• Feng-Chang Gu, Hung-Cheng Chen*andMeng-Hung Chao, “Application of improved Hilbert-Huang transform to partial discharge signal analysis,”IEEE Transactions on Dielectrics and Electrical Insulation, vol. 25, no. 2, pp. 668-677, 2018. (SCI/EI) (IF:2.324)
• Feng-Chang Gu, Hung-Cheng Chen*andMeng-Hung Chao, “Application of improved Hilbert–Huang transform to partial discharge defect model recognition of power cables,”Applied Sciences, vol. 7, no. 10, 1021, 2017. (SCI/EI) (IF :2.048)
• Feng-Chang Gu, Hong-Chan Chang*, andCheng-Chien Kuo, “Gas-insulated switchgear PD signal analysis based on Hilbert–Huang transform with fractal parameters enhancement,”IEEE Transactions on Dielectrics and Electrical Insulation, vol. 20, no. 4, pp. 1049-1055, 2013. (SCI/EI) (IF :2.324)
• Feng-Chang Gu, Hong-Chan Chang*, Fu-Hsien Chen, Cheng-Chien Kuo, and Chao-Hsiang Hsu, “Application of the Hilbert–Huang transform with fractal feature enhancement on partial discharge recognition of power cable joints,” IET Science, Measurement and Technology, vol. 6, no. 6, pp. 440-448, 2012. (SCI/EI)
• Hung-Cheng Chen*andFeng-Chang Gu, “Pattern recognition with cerebellar model articulation controller and fractal features on partial discharges,” Expert Systems with Applications, vol. 39, no. 7, pp. 6575-6584, 2012. (SCI/EI)
• Fu-Hsien Chen, Hong-Chan Chang*, Feng-Chang Gu, Cheng-Chien Kuo, Chao-Hsiang Hsu, “A fault types recognition system of power cable joint by Hilbert–Huang transform with fractal feature enhancement through mountain clustering,” Advanced Science Letters, vol. 14, no. 1, pp. 60-68, July 2012. (SCI/EI)
• Feng-Chang Gu, Hong-Chan Chang*, Fu-Hsien Chen, and Cheng-Chien Kuo, “Partial discharge pattern recognition of power cable joints using extension method with fractal feature enhancement,” Expert Systems with Applications, vol. 39, no. 3, pp. 2804-2812, 2012. (SCI/EI)
• Hung-Cheng Chen*, Feng-Chang Gu, and Meng-Hui Wang, “A novel extension neural network based partial discharge pattern recognition method for high-voltage power apparatus,” Expert Systems with Applications, vol. 39, no. 3, pp. 3423-3431, 2012. (SCI/EI)
• Hung-Cheng Chen*, Feng-Chang Gu, and Chun-Yao Lee, “A new method based on extension theory for partial discharge pattern recognition,” WSEAS Transaction on Systems, vol. 7, no. 12, pp.1402-1411, 2008. (EI)