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 Yongguang Yu sits on this spectrum.
This scientist: 172 publications — 20th percentile
20% 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 Yongguang Yu sits on this spectrum.
This scientist: 42 D-Index — 42nd percentile
42% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Yongguang Yu is affiliated with Beijing Jiaotong University in China and has a scholarly focus on areas intersecting computer science and mathematics. Their research contributions encompass several subfields including computer networks and communications, modeling and simulation, statistical and nonlinear physics, public health, environmental and occupational health, as well as artificial intelligence.
The scientist has published extensively on topics such as neural networks stability and synchronization, fractional differential equations solutions, mathematical and theoretical epidemiology and ecology models, distributed control in multi-agent systems, stochastic dynamics and bifurcation, COVID-19 epidemiological studies, and neural networks and applications.
Recent published papers by Yongguang Yu include:
Frequent co-authors collaborating with Yongguang Yu include:
The scientist's works often appear in publication venues such as:
Yongguang Yu's research has significant representation in computer science with 124 publications and mathematics with 68 publications. Their contributions to computer networks and communications total 94 publications, while there are notable outputs in modeling and simulation with 53 publications. Studies in statistical and nonlinear physics and public health fields account for 36 and 35 publications respectively. Within artificial intelligence, they have produced 25 publications.
The scientist's research focuses involve a variety of advanced mathematical and computational topics including neural networks stability and synchronization, fractional differential equations, epidemiological modeling including COVID-19 studies, as well as control and dynamics in distributed systems.
Shuo Zhang;Yongguang Yu;Hu Wang
Yongguang Yu;Suochun Zhang
Hu Wang;Yongguang Yu;Guoguang Wen;Shuo Zhang
Yongguang Yu;Yongguang Yu;Han-Xiong Li;Han-Xiong Li;Sha Wang;Junzhi Yu
Shuo Zhang;Yongguang Yu;Junzhi Yu
Zhaoxia Peng;Guoguang Wen;Ahmed Rahmani;Yongguang Yu
Hu Wang;Yongguang Yu;Guoguang Wen
Zhaoxia Peng;Guoguang Wen;Ahmed Rahmani;Yongguang Yu
Yongguang Yu;Yongguang Yu;Han-Xiong Li;Han-Xiong Li
Zhaoxia Peng;Shichun Yang;Guoguang Wen;Ahmed Rahmani
Yongguang Yu;Yongguang Yu;Han-Xiong Li;Han-Xiong Li
Sha Wang;Yongguang Yu;Miao Diao
Yajuan Gu;Yongguang Yu;Hu Wang
Guoguang Wen;Zhaoxia Peng;Ahmed Rahmani;Yongguang Yu
Wenjuan Gu;Yongguang Yu;Wei Hu
Yongguang Yu;Yongguang Yu;Han-Xiong Li;Han-Xiong Li
Shuo Zhang;Yongguang Yu;Qing Wang
Sha Wang;Yongguang Yu;Guoguang Wen
Hu Wang;Yongguang Yu;Guoguang Wen;Shuo Zhang
Jing Bai;Guoguang Wen;Ahmed Rahmani;Yongguang Yu
Yongguang Yu;Yongguang Yu;Suochun Zhang
If you think any of the details on this page are incorrect, let us know.
For students interested in Electronics and Electrical Engineering, exploring related online degrees can broaden career opportunities. Many professionals choose a bachelor degree in project management to develop leadership skills essential for overseeing engineering projects efficiently.
Time constraints often pose challenges for working students. Fortunately, accelerated online degree programs allow learners to complete their studies faster without sacrificing quality, enabling quicker entry or advancement in engineering fields.
Continuing education is also key, with many engineers pursuing a master's in training and development online to enhance skills in workforce education and knowledge transfer—a vital component in technology-driven industries.
Another important trend is competency based degree programs that focus on practical skills over traditional coursework. This approach aligns well with the hands-on nature of engineering careers and helps students demonstrate their expertise to employers.
University of Oregon
University of Michigan–Ann Arbor
University of Notre Dame
Technical University of Berlin
University of East Anglia
Karolinska Institute
French Institute for Research in Computer Science and Automation - INRIA
National Yang Ming Chiao Tung University
University of Toronto
University of Glasgow
University of Shizuoka
Harvard University
Mayo Clinic
Princeton University
Virginia Tech
Polytechnic University of Milan
