The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Zhile Yang sits on this spectrum.
This scientist: 148 publications — 26th percentile
26% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Zhile Yang sits on this spectrum.
This scientist: 39 D-Index — 33rd percentile
33% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Zhile Yang is affiliated with the University of Chinese Academy of Sciences in China. Their research spans several fields, primarily focusing on engineering and computer science. Yang's work is notably situated within the subfields of Electrical and Electronic Engineering, Artificial Intelligence, Industrial and Manufacturing Engineering, Control and Systems Engineering, and Computational Theory and Mathematics.
The scientist's main topics of research include metaheuristic optimization algorithms, smart grid energy management, advanced battery technologies, multi-objective optimization algorithms, energy load and power forecasting, electric vehicles and infrastructure, and electric power system optimization.
Zhile Yang has published numerous papers across a variety of scientific venues. The most frequent publication venues include Energy, SSRN Electronic Journal, Knowledge-Based Systems, Machines, and Energies. Some notable recent papers are:
Frequent collaborators in Yang's work include Yuanjun Guo, Chengke Wu, Qinge Xiao, Dongsheng Yang, and Kang Li.
In addition to journal articles, Zhile Yang has contributed to book publications. Two titles published by Springer Science+Business Media are "Recent Advances in Sustainable Energy and Intelligent Systems" (2021) and "Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops" (2020).
Zhile Yang;Kang Li;Aoife Foley
Kailong Liu;Xiaosong Hu;Zhile Yang;Yi Xie
Juncheng Zhu;Zhile Yang;Monjur Mourshed;Yuanjun Guo
Haiping Ma;Shigen Shen;Mei Yu;Zhile Yang
Yunlang Xu;Zhile Yang;Xiaoping Li;Huazhou Kang
Haiping Ma;Dan Simon;Patrick Siarry;Zhile Yang
Juncheng Zhu;Zhile Yang;Yuanjun Guo;Jiankang Zhang
Shuqiang Wang;Xiangyu Wang;Yong Hu;Yanyan Shen
Zhile Yang;Kang Li;Qun Niu;Yusheng Xue
Haiping Ma;Haiping Ma;Zhile Yang;Pengcheng You;Minrui Fei
Zhile Yang;Zhile Yang;Monjur M. Mourshed;Kailong Liu;Xinzhi Xu
Kailong Liu;Zhongbao Wei;Zhile Yang;Kang Li
Kailong Liu;Kang Li;Zhile Yang;Cheng Zhang
Yuanjun Guo;Zhile Yang;Kailong Liu;Yanhui Zhang
Xu Chen;Kangji Li;Bin Xu;Zhile Yang
Kailong Liu;Zhile Yang;Xiaopeng Tang;Wenping Cao
Unknown
Juan Yan;Kang Li;Erwei Bai;Zhile Yang
Ying Wang;Zhile Yang;Zhile Yang;Monjur Mourshed;Yuanjun Guo
Fazhi Song;Yang Liu;Jian-Xin Xu;Xiaofeng Yang
Tingli Cheng;Minyou Chen;Peter J. Fleming;Zhile Yang
Zhile Yang;Kang Li;Yuanjun Guo;Haiping Ma
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