What is he best known for?
The fields of study he is best known for:
- Computer network
- Quantum mechanics
- Statistics
Hyundong Shin mainly investigates Relay, Fading, Cooperative diversity, Computer network and MIMO.
His work focuses on many connections between Fading and other disciplines, such as Mathematical optimization, that overlap with his field of interest in Matrix and Upper and lower bounds.
His work carried out in the field of Cooperative diversity brings together such families of science as Relay channel and Diversity combining.
His work carried out in the field of Computer network brings together such families of science as Transmission, Path loss, Cognitive network, Wireless network and Constraint.
His Wireless network study contributes to a more complete understanding of Wireless.
Hyundong Shin interconnects Spatial correlation, Block code, Channel capacity and Topology in the investigation of issues within MIMO.
His most cited work include:
- Cooperative Communications with Outage-Optimal Opportunistic Relaying (993 citations)
- Capacity of multiple-antenna fading channels: spatial fading correlation, double scattering, and keyhole (573 citations)
- Energy Efficient Heterogeneous Cellular Networks (458 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Computer network, Fading, Communication channel, MIMO and Topology.
Hyundong Shin combines subjects such as Wireless, Wireless network, Beamforming and Relay with his study of Computer network.
His Fading study frequently draws parallels with other fields, such as Block code.
Hyundong Shin focuses mostly in the field of Communication channel, narrowing it down to topics relating to Algorithm and, in certain cases, Wireless sensor network.
The MIMO study combines topics in areas such as Rayleigh fading, Spatial correlation, Electronic engineering and Channel capacity.
His Topology research includes elements of Matrix, Quantum entanglement, Quantum and Control theory.
He most often published in these fields:
- Computer network (27.88%)
- Fading (24.78%)
- Communication channel (24.34%)
What were the highlights of his more recent work (between 2018-2021)?
- Quantum entanglement (7.52%)
- Quantum (7.96%)
- Communication channel (24.34%)
In recent papers he was focusing on the following fields of study:
Hyundong Shin focuses on Quantum entanglement, Quantum, Communication channel, Qubit and Statistical physics.
His Quantum entanglement study combines topics in areas such as Quantum Zeno effect, Measure, Topology and Estimation theory.
When carried out as part of a general Topology research project, his work on Upper and lower bounds and Sequence is frequently linked to work in Noise, therefore connecting diverse disciplines of study.
The study incorporates disciplines such as Wireless sensor network, Computer network, Reliability, Network packet and Transmission in addition to Communication channel.
His Computer network research incorporates elements of Quantum information science and Reinforcement learning.
As part of the same scientific family, Hyundong Shin usually focuses on Qubit, concentrating on Mixed states and intersecting with Bayes estimator, Algorithm and Heuristics.
Between 2018 and 2021, his most popular works were:
- Enabling intelligence in fog computing to achieve energy and latency reduction (40 citations)
- Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches (20 citations)
- Socially-Aware Caching in Wireless Networks with Random D2D Communications (10 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Quantum mechanics
- Statistics
His primary areas of investigation include Quantum entanglement, Communication channel, Computer network, Topology and Measure.
His Quantum entanglement research incorporates themes from Quantum Zeno effect, Quantum computer and Qubit.
His study in the field of Bit error rate is also linked to topics like Anomalous diffusion.
His research brings together the fields of Wireless network and Computer network.
His Topology study integrates concerns from other disciplines, such as Estimation theory, Orthonormal basis, Joint and Bell state.
His Measure research is multidisciplinary, incorporating elements of Discrete mathematics, Multipartite, Evolutionary algorithm and Inequality.
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