What is he best known for?
The fields of study he is best known for:
- Computer network
- Reliability engineering
- Algorithm
Liudong Xing mostly deals with Reliability engineering, Component, Binary decision diagram, Reliability and Fault tree analysis.
His work on Redundancy as part of his general Reliability engineering study is frequently connected to Damage effects, thereby bridging the divide between different branches of science.
His work deals with themes such as Recovery procedure, Abort and Survivability, which intersect with Component.
He combines subjects such as Reduction, Influence diagram, Key distribution in wireless sensor networks and Boolean function with his study of Binary decision diagram.
His Reliability research is multidisciplinary, incorporating elements of Time domain, Isolation, Distributed computing and Fail-fast.
The Common cause failure study combines topics in areas such as Reliability theory, Wireless sensor network and Aerospace.
His most cited work include:
- Analysis of generalized phased-mission system reliability, performance, and sensitivity (151 citations)
- Reliability Evaluation of Phased-Mission Systems With Imperfect Fault Coverage and Common-Cause Failures (126 citations)
- A New Decision-Diagram-Based Method for Efficient Analysis on Multistate Systems (116 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Reliability engineering, Reliability, Component, Wireless sensor network and Binary decision diagram.
His Reliability engineering study integrates concerns from other disciplines, such as Isolation, Optimization problem and Influence diagram.
The Reliability study combines topics in areas such as Distributed computing, Sensitivity, Probabilistic logic, Markov chain and Task.
His work carried out in the field of Component brings together such families of science as Time domain, Reliability theory, Correctness and Function.
His study in Binary decision diagram is interdisciplinary in nature, drawing from both Computational complexity theory and Boolean function.
He studied Fault tree analysis and Algorithm that intersect with Reliability block diagram.
He most often published in these fields:
- Reliability engineering (66.01%)
- Reliability (31.18%)
- Component (25.28%)
What were the highlights of his more recent work (between 2019-2021)?
- Reliability engineering (66.01%)
- Reliability (31.18%)
- Cloud computing (8.71%)
In recent papers he was focusing on the following fields of study:
His main research concerns Reliability engineering, Reliability, Cloud computing, Wireless sensor network and Component.
Liudong Xing has included themes like Task, Abort and Sensitivity in his Reliability engineering study.
His Reliability study combines topics from a wide range of disciplines, such as Probabilistic logic and Distributed computing.
His Cloud computing research is multidisciplinary, relying on both Computer security, Virtual machine and Optimization problem.
His Component research is multidisciplinary, incorporating perspectives in Influence diagram and Group.
Liudong Xing focuses mostly in the field of Boolean function, narrowing it down to matters related to Binary decision diagram and, in some cases, Fault tree analysis and Data mining.
Between 2019 and 2021, his most popular works were:
- Efficient Analysis of Repairable Computing Systems Subject to Scheduled Checkpointing (14 citations)
- Reliability in Internet of Things: Current Status and Future Perspectives (13 citations)
- Efficient reliability analysis of dynamic k-out-of-n heterogeneous phased-mission systems (10 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Programming language
- Algorithm
Liudong Xing mainly focuses on Reliability engineering, Reliability, Component, Cloud computing and Distributed computing.
His work deals with themes such as Influence diagram and State, which intersect with Reliability engineering.
His Reliability study frequently links to related topics such as Cloud provider.
His Component research integrates issues from Probabilistic logic and Function.
His research in Cloud computing intersects with topics in Redundancy, Server, Service and Minimax.
His biological study spans a wide range of topics, including Wireless, Virtual machine, Time domain, Home automation and Optimization problem.
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