The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Yu-Hong Dai sits on this spectrum.
This scientist: 160 publications — 44th percentile
44% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Yu-Hong Dai sits on this spectrum.
This scientist: 43 D-Index — 54th percentile
54% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Yu-Hong Dai is affiliated with the Chinese Academy of Sciences in China and specializes in research primarily within the fields of Computer Science and Engineering. Their work focuses on areas such as Computer Networks and Communications, Numerical Analysis, Computational Mechanics, Computational Theory and Mathematics, and Electrical and Electronic Engineering.
The scientist's research topics include Sparse and Compressive Sensing Techniques, Advanced Optimization Algorithms Research, Optimization and Variational Analysis, Stochastic Gradient Optimization Techniques, Software-Defined Networks and 5G, Matrix Theory and Algorithms, and Vehicle Routing Optimization Methods.
Frequent collaborators in their research include Wei-Kun Chen, Xinwei Liu, Ya-Feng Liu, Yakui Huang, and Zhi-Quan Luo.
Yu-Hong Dai has contributed to a number of publications in reputable venues. The most frequent publication outlets are:
Significant recent papers authored or co-authored by Yu-Hong Dai include:
The scope of Yu-Hong Dai's work reflects integration of computational theory with real-world applications in network management, optimization algorithms, and biomedical-related studies. Through numerous contributions to specialized journals and preprint repositories, they engage in advancing methodologies in optimization and algorithms, alongside addressing complex challenges in computer networks and applied mathematics.
Y. H. Dai;Y. Yuan
Y. H. Dai;Lizhi Liao
Yu-Hong Dai;Roger Fletcher
Yu-Hong Dai
Y. H. Dai;Ya-Xiang Yuan
Yu Hong Dai;Lizhi Liao
Yu‐Hong Dai
Yu-Hong Dai;Cai-Xia Kou
Yuhong Dai;Jiye Han;Guanghui Liu;Defeng Sun
Ya-Feng Liu;Yu-Hong Dai;Zhi-Quan Luo
Y. H. Dai
Bin Zhou;Li Gao;Yu-Hong Dai
Y. H. Dai;Y. Yuan
Yu-Hong Dai;William W. Hager;Klaus Schittkowski;Hongchao Zhang
Yu-Hong Dai;Roger Fletcher
Ya-Feng Liu;Yu-Hong Dai;Zhi-Quan Luo
Chun-Feng Cui;Yu-Hong Dai;Jiawang Nie
Ya-Feng Liu;Yu-Hong Dai;Zhi-Quan Luo
Conghui Tan;Shiqian Ma;Yu-Hong Dai;Yuqiu Qian
Ya-Feng Liu;Yu-Hong Dai
Yu Hong Dai;Lizhi Liao;Duan Li
If you think any of the details on this page are incorrect, let us know.
Studying Mathematics in the USA opens the door to various interdisciplinary career paths, including data science, business analytics, and management. For those interested in combining mathematical skills with technology, pursuing a master in data analytics offers specialized knowledge in interpreting complex data, a highly sought-after skill across industries.
For professionals looking to advance into leadership roles, understanding the landscape of MBA programs can be invaluable. If you’re wondering what MBA programs can I get into, it’s important to consider factors such as admission requirements, program flexibility, and specialization options.
Those balancing work and study may find easiest online MBA programs to get into particularly appealing. These programs provide accessible routes to developing management skills without compromising your current commitments.
Additionally, for an advanced career in business leadership or academia, exploring online DBA programs can be a strategic investment. These programs focus on research and practical applications of business strategies, ideal for mathematics graduates expanding their scope into business disciplines.
Iowa State University
École Polytechnique Fédérale de Lausanne
Tsinghua University
Western New England University
ASST Grande Ospedale Metropolitano Niguarda
GNS Science
University of California, Berkeley
Duke University
George Mason University
Illinois Institute of Technology
City University of New York
Universidade Nova de Lisboa
University of Northern British Columbia
Jaume I University
University of California, San Francisco
United States Geological Survey
