What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- The Internet
Yixian Yang mainly focuses on Control theory, Artificial neural network, Synchronization, Memristor and Computer security.
His research in Control theory intersects with topics in Ideal, Control, Exponential function and Synchronization.
In his work, Equilibrium point is strongly intertwined with Differential inclusion, which is a subfield of Artificial neural network.
His work carried out in the field of Synchronization brings together such families of science as Stability, System parameters, Algebraic number, Simple and Linear matrix.
His studies in Memristor integrate themes in fields like Exponential synchronization, Control theory, Settling time, Bounded function and Algebraic operation.
His Theoretical computer science research focuses on subjects like Quantum computer, which are linked to Quantum information.
His most cited work include:
- An efficient protocol for the private comparison of equal information based on the triplet entangled state and single-particle measurement (182 citations)
- Joint remote preparation of an arbitrary three-qubit state (118 citations)
- A hybrid CPSO–SQP method for economic dispatch considering the valve-point effects (99 citations)
What are the main themes of his work throughout his whole career to date?
Yixian Yang spends much of his time researching Computer security, Computer network, Theoretical computer science, Scheme and Encryption.
Authentication, Cryptography, Key, Access control and Anonymity are subfields of Computer security in which his conducts study.
His work in Wireless sensor network, Linear network coding and Mutual authentication are all subfields of Computer network research.
His work focuses on many connections between Theoretical computer science and other disciplines, such as Quantum, that overlap with his field of interest in Topology.
Yixian Yang works mostly in the field of Topology, limiting it down to concerns involving State and, occasionally, Quantum channel.
His research combines Qubit and Scheme.
He most often published in these fields:
- Computer security (20.00%)
- Computer network (18.04%)
- Theoretical computer science (18.70%)
What were the highlights of his more recent work (between 2018-2021)?
- Encryption (12.17%)
- Scheme (14.57%)
- Artificial intelligence (10.22%)
In recent papers he was focusing on the following fields of study:
Yixian Yang mainly investigates Encryption, Scheme, Artificial intelligence, Quantum and Topology.
His study with Encryption involves better knowledge in Computer security.
The various areas that he examines in his Scheme study include Theoretical computer science and Blockchain.
His Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
His work in Quantum addresses subjects such as Homomorphic encryption, which are connected to disciplines such as Quantum circuit.
His study in Topology is interdisciplinary in nature, drawing from both Memristor, Lyapunov stability, Qubit, State and Synchronization.
Between 2018 and 2021, his most popular works were:
- Cryptographic primitives in blockchains (51 citations)
- Fixed-time synchronization of inertial memristor-based neural networks with discrete delay (45 citations)
- Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network (41 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- The Internet
His primary areas of investigation include Topology, Artificial neural network, Artificial intelligence, Encryption and Scheme.
His Topology research is multidisciplinary, relying on both Qubit, State, Nonlinear system, Polynomial and Dynamic network analysis.
Yixian Yang interconnects Synchronization, Settling time and Synchronization in the investigation of issues within Artificial neural network.
His work deals with themes such as Control theory and Memristor, which intersect with Synchronization.
His Artificial intelligence study incorporates themes from Machine learning and Pattern recognition.
His Scheme research incorporates themes from Quantum, Theoretical computer science, Public-key cryptography and Sequence.
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