The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Ming Xu sits on this spectrum.
This scientist: 151 publications — 14th percentile
14% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Ming Xu sits on this spectrum.
This scientist: 53 D-Index — 66th percentile
66% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Ming Xu is affiliated with FSP-Powerland Technology in China and has extensive research experience primarily in the fields of engineering and computer science. Their work spans a significant number of publications focused on both theoretical and applied aspects of electrical and electronic engineering, artificial intelligence, and computer networks and communications.
Xu's main areas of research include metaheuristic optimization algorithms, advanced multi-objective optimization algorithms, and evolutionary algorithms and applications. The scope of their studies also covers microgrid control and optimization, photovoltaic system optimization techniques, solar radiation and photovoltaics, as well as UAV applications and optimization.
Several recent papers highlight Xu's research contributions: "Parameters identification of photovoltaic models by using an enhanced adaptive butterfly optimization algorithm" (2021, Energy), "Optimized multi-UAV cooperative path planning under the complex confrontation environment" (2020, Computer Communications), "Refraction-learning-based whale optimization algorithm for high-dimensional problems and parameter estimation of PV model" (2020, Engineering Applications of Artificial Intelligence), "Association of postoperative delirium with cognitive outcomes: A meta-analysis" (2021, Journal of Clinical Anesthesia), and "Pinhole-imaging-based learning butterfly optimization algorithm for global optimization and feature selection" (2021, Applied Soft Computing).
These papers reflect a focus on optimization algorithms applied to complex engineering problems such as photovoltaic model parameters, UAV path planning, and feature selection methods. Xu's work is published in a variety of recognized scientific journals ranging from energy and engineering to clinical anesthesia, showing interdisciplinary reach.
Frequent coauthors collaborating with Xu include:
Regular publication venues where Xu's work has appeared multiple times include:
The subfields within Xu's research portfolio emphasize:
Main topics of their work incorporate:
Yuancheng Ren;Ming Xu;Jinghai Zhou;F.C. Lee
Linlin Gu;Xinbo Ruan;Ming Xu;Kai Yao
Beibei Wang;Xinbo Ruan;Kai Yao;Ming Xu
Dianbo Fu;Ya Liu;F.C. Lee;Ming Xu
Kaiwei Yao;Mao Ye;Ming Xu;F.C. Lee
Zheng Zhao;Ming Xu;Qiaoliang Chen;Jih-Sheng Lai
Kaiwei Yao;Ming Xu;Yu Meng;F.C. Lee
Kaiwei Yao;Yang Qiu;Ming Xu;F.C. Lee
Yuancheng Ren;Ming Xu;Julu Sun;F.C. Lee
Ming Xu;J. Sun;F.C. Lee
Ming Xu;Jinghai Zhou;Yuancheng Ren;Fred C. Lee
Yang Qiu;Ming Xu;Kaiwei Yao;J. Sun
Ming Xu;Julu Sun;Fred C. Lee
K. Yao;K. Lee;M. Xu;F.C. Lee
Yuancheng Ren;Ming Xu;Kaiwei Yao;Yu Meng
Yuancheng Ren;Kaiwei Yao;Ming Xu;F.C. Lee
Julu Sun;Ming Xu;Yucheng Ying;Fred C. Lee
Yuancheng Ren;Ming Xu;Kaiwei Yao;Yu Meng
K. Yao;Y. Ren;J. Sun;K. Lee
Dianbo Fu;F.C. Lee;Ya Liu;Ming Xu
Dianbo Fu;Fred C. Lee;Ya Liu;Ming Xu
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