Fangxing Li is affiliated with the University of Tennessee at Knoxville in the United States. Their research primarily focuses on engineering, with an emphasis on electrical and electronic engineering, control and systems engineering, safety, risk, reliability and quality, building and construction, and energy engineering and power technology.
Their work engages with multiple topics related to power systems and energy optimization. Key topics include:
Fangxing Li has published extensively in various academic venues. Their most frequent publication outlets are:
Recent papers include:
Frequent co-authors associated with Fangxing Li include:
Fangxing Li has contributed to book publications as well, with a noted title being "Deep Learning for Power System Applications," published by Springer Nature in 2023.
Fangxing Li;Wei Qiao;Hongbin Sun;Hui Wan
Fangxing Li;Rui Bo
Pei Zhang;Fangxing Li;N Bhatt
Sarina Adhikari;Fangxing Li
Linquan Bai;Jianhui Wang;Chengshan Wang;Chen Chen
Linquan Bai;Fangxing Li;Hantao Cui;Tao Jiang
Haoyu Yuan;Fangxing Li;Yanli Wei;Jinxiang Zhu
Yan Du;Fangxing Li
Hongxun Hui;Yi Ding;Qingxin Shi;Fangxing Li
Qingxin Shi;Fangxing Li;Hantao Cui
Wenjuan Zhang;Fangxing Li;L. Tolbert
Qinran Hu;Fangxing Li
R. Baldick;B. Chowdhury;I. Dobson;Zhaoyang Dong
Huijuan Li;Fangxing Li;Yan Xu;D. Tom Rizy
Cynthujah Vivekananthan;Yateendra Mishra;Gerard Ledwich;Fangxing Li
Can Huang;Fangxing Li;Zhiqiang Jin
Yan Du;Helia Zandi;Olivera Kotevska;Kuldeep Kurte
Y. Mishra;S. Mishra;Fangxing Li;Zhao Yang Dong
Jun Xiao;Linquan Bai;Fangxing Li;Haishen Liang
Jingjing Zhao;Xue Lyu;Yang Fu;Xiaoguang Hu
Rui Bo;Fangxing Li
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