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 Miqing Li sits on this spectrum.
This scientist: 156 publications — 29th percentile
29% 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 Miqing Li sits on this spectrum.
This scientist: 36 D-Index — 23rd percentile
23% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Miqing Li is affiliated with the University of Birmingham in the United Kingdom and has contributed extensively to research in the field of computer science. Their work primarily focuses on advanced multi-objective optimization algorithms, metaheuristic optimization algorithms research, and evolutionary algorithms and applications.
Their research spans several subfields of computer science, notably artificial intelligence, computational theory and mathematics, and software engineering. They have explored topics including advanced software engineering methodologies, software testing and debugging techniques, and software reliability and analysis research.
Among the recent papers authored by Miqing Li are:
Miqing Li has frequently collaborated with other researchers, including Xin Yao, Yi Xiang, Xiaowei Yang, Chao Bian, and Chao Qian. These collaborations have contributed to research outputs in various evolutionary computation and software engineering topics.
The scientist's work has appeared in several publication venues, with multiple contributions to arXiv (Cornell University), IEEE Transactions on Evolutionary Computation, Zenodo (CERN European Organization for Nuclear Research), ACM Transactions on Software Engineering and Methodology, and the Proceedings of the Genetic and Evolutionary Computation Conference Companion.
The topics most extensively covered in their research include:
Miqing Li's contributions offer insights across numerous aspects of optimization within software engineering and computational intelligence, reflecting a broad engagement with both theoretical and applied challenges in computer science.
Shengxiang Yang;Miqing Li;Xiaohui Liu;Jinhua Zheng
Miqing Li;Shengxiang Yang;Xiaohui Liu
Ran Cheng;Miqing Li;Ye Tian;Xingyi Zhang
Zhaomeng Zhu;Gongxuan Zhang;Miqing Li;Xiaohui Liu
Yi Xiang;Yuren Zhou;Miqing Li;Zefeng Chen
Ke Li;Qingfu Zhang;Sam Kwong;Miqing Li
Miqing Li;Xin Yao
Miqing Li;Shengxiang Yang;Xiaohui Liu
Miqing Li;Shengxiang Yang;Xiaohui Liu
Miqing Li;Shengxiang Yang;Xiaohui Liu
Ye Tian;Ran Cheng;Xingyi Zhang;Miqing Li
Miqing Li;Xin Yao
Ke Li;Sam Kwong;Jingjing Cao;Miqing Li
Ran Cheng;Miqing Li;Ke Li;Xin Yao
Miqing Li;Liangli Zhen;Xin Yao
Robert M. Hierons;Miqing Li;Xiaohui Liu;Sergio Segura
Yilin Fang;Yilin Fang;Hao Ming;Hao Ming;Miqing Li;Quan Liu;Quan Liu
Yuan Liu;Ningbo Zhu;Kenli Li;Miqing Li
Miqing Li;Jinhua Zheng
Yilin Fang;Yilin Fang;Quan Liu;Quan Liu;Miqing Li;Yuanjun Laili
Miqing Li;Shengxiang Yang;Xiaohui Liu;Ruimin Shen
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