What is he best known for?
The fields of study he is best known for:
- Computer network
- Mathematical analysis
- Algorithm
The scientist’s investigation covers issues in Computer virus, Epidemic model, Stability theory, Applied mathematics and Mathematical optimization.
Xiaofan Yang integrates several fields in his works, including Computer virus and Basic reproduction number.
Within one scientific family, Xiaofan Yang focuses on topics pertaining to System parameters under Stability theory, and may sometimes address concerns connected to Sensitivity and Lyapunov function.
His Applied mathematics study incorporates themes from Class, Differentiable function, Monotonic function and Exponential function.
Xiaofan Yang studies Mathematical optimization, focusing on Optimal control in particular.
His Basis study combines topics from a wide range of disciplines, such as Hypercube, Combinatorics and Parallel computing.
His most cited work include:
- The locally twisted cubes (168 citations)
- A novel computer virus model and its dynamics (130 citations)
- A delayed computer virus propagation model and its dynamics (112 citations)
What are the main themes of his work throughout his whole career to date?
Xiaofan Yang mainly investigates Computer virus, Mathematical optimization, Mathematical analysis, Combinatorics and Topology.
His work carried out in the field of Computer virus brings together such families of science as Operations research, Simulation and Stability theory.
His work on Optimal control as part of general Mathematical optimization study is frequently linked to Rumor, bridging the gap between disciplines.
Xiaofan Yang works mostly in the field of Mathematical analysis, limiting it down to concerns involving Exponential stability and, occasionally, Applied mathematics, Artificial neural network and Equilibrium point.
His research in Combinatorics intersects with topics in Discrete mathematics and Interconnection.
His work on Embedding and Torus as part of general Topology research is frequently linked to Wavelength-division multiplexing, thereby connecting diverse disciplines of science.
He most often published in these fields:
- Computer virus (27.88%)
- Mathematical optimization (17.79%)
- Mathematical analysis (18.75%)
What were the highlights of his more recent work (between 2017-2020)?
- Optimal control (10.10%)
- Mathematical optimization (17.79%)
- Advanced persistent threat (3.85%)
In recent papers he was focusing on the following fields of study:
Xiaofan Yang spends much of his time researching Optimal control, Mathematical optimization, Advanced persistent threat, Nash equilibrium and Rumor.
Xiaofan Yang interconnects Control, Profit, Competitor analysis and Operations research in the investigation of issues within Optimal control.
His Advanced persistent threat research is multidisciplinary, relying on both Risk analysis and Cyber-attack.
His Nash equilibrium research focuses on Differential game and how it connects with Structure and Differential.
While working on this project, he studies both Balance and Computer virus.
His research brings together the fields of Network topology and Computer virus.
Between 2017 and 2020, his most popular works were:
- A Bi-Virus Competing Spreading Model with Generic Infection Rates (52 citations)
- Effective Repair Strategy Against Advanced Persistent Threat: A Differential Game Approach (22 citations)
- On the competition of two conflicting messages (22 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Mathematical analysis
- Algorithm
Xiaofan Yang mainly focuses on Computer experiment, Risk analysis, Advanced persistent threat, Econometrics and Profit.
Many of his studies on Computer experiment involve topics that are commonly interrelated, such as Optimal control.
As part of one scientific family, Xiaofan Yang deals mainly with the area of Risk analysis, narrowing it down to issues related to the Nash equilibrium, and often Resource allocation, Structure, Differential game and Cyber-attack.
His Econometrics research is multidisciplinary, incorporating elements of Virus, Net profit and Simulation.
He has included themes like Word-of-mouth marketing and Marketing campaign in his Profit study.
The various areas that Xiaofan Yang examines in his Limit study include Strategy, Game theory and Greedy algorithm.
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