What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- Algorithm
Zhiguo Shi mainly focuses on Control theory, Algorithm, Colpitts oscillator, Chaotic and Electronic engineering.
His research in Control theory intersects with topics in Computational complexity theory, Particle filter, Coprime array and Synchronization.
His Algorithm research incorporates elements of Phase and Direction of arrival.
His Direction of arrival research incorporates themes from Aperture, Degrees of freedom and Interpolation.
His Covariance matrix research integrates issues from Optimization problem, Least squares and Coprime integers.
His Optimization problem study incorporates themes from Perspective and Iterative reconstruction.
His most cited work include:
- A Robust and Efficient Algorithm for Coprime Array Adaptive Beamforming (185 citations)
- Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation (172 citations)
- Source Estimation Using Coprime Array: A Sparse Reconstruction Perspective (172 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Algorithm, Electronic engineering, Computer network, Control theory and Colpitts oscillator.
Algorithm and Direction of arrival are commonly linked in his work.
The various areas that Zhiguo Shi examines in his Electronic engineering study include Telecommunications, Communication channel, Radar, Signal and Microwave.
His Computer network research is multidisciplinary, relying on both Wireless, Wireless network and Smart grid.
His Control theory research is multidisciplinary, incorporating perspectives in Particle filter and Adaptive beamformer.
He has researched Particle filter in several fields, including Additive white Gaussian noise, Resampling and Filter.
He most often published in these fields:
- Algorithm (19.34%)
- Electronic engineering (18.23%)
- Computer network (15.47%)
What were the highlights of his more recent work (between 2019-2021)?
- Algorithm (19.34%)
- Electrical engineering (5.52%)
- Distributed computing (4.42%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Algorithm, Electrical engineering, Distributed computing, Real-time computing and Coprime integers.
He undertakes multidisciplinary investigations into Algorithm and Chirp in his work.
His work on Signal is typically connected to Credit card, Energy and Capacitance as part of general Electrical engineering study, connecting several disciplines of science.
His biological study spans a wide range of topics, including Latency, Default gateway, Computation offloading, Communication channel and Mobile edge computing.
The concepts of his Real-time computing study are interwoven with issues in Feature extraction and Synchronization.
Covariance matrix, Reconstruction problem and Finite set is closely connected to Underdetermined system in his research, which is encompassed under the umbrella topic of Coprime integers.
Between 2019 and 2021, his most popular works were:
- Noise-Aware DVFS for Efficient Transitions on Battery-Powered IoT Devices (20 citations)
- CEDAR: A Cost-Effective Crowdsensing System for Detecting and Localizing Drones (8 citations)
- Multiple Attacks Detection in Cyber-Physical Systems Using Random Finite Set Theory (7 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- Computer network
His scientific interests lie mostly in Finite set, Drone, Underdetermined system, Optimization problem and Coprime integers.
His Finite set study combines topics from a wide range of disciplines, such as Hacker, Covariance matrix, Computer engineering and Cyber-physical system.
Along with Drone, other disciplines of study including Real-time computing, Public security, Amateur, Poison control and Incentive are integrated into his research.
His Underdetermined system study is associated with Algorithm.
Zhiguo Shi combines subjects such as Latency, Distributed computing, Computation offloading, Communication channel and Mobile edge computing with his study of Optimization problem.
His Coprime integers study frequently involves adjacent topics like Direction of arrival.
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