What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Statistics
Zhiwu Li mostly deals with Petri net, Deadlock prevention algorithms, Deadlock, Distributed computing and Mathematical optimization.
His Petri net research includes elements of Flexible manufacturing system, Liveness, Integer programming and Supervisory control.
The various areas that Zhiwu Li examines in his Deadlock prevention algorithms study include Redundancy and Resource management.
His Deadlock research is multidisciplinary, incorporating perspectives in Resource, Real-time computing, Set and Computational complexity theory.
His work deals with themes such as Graph theory, Control reconfiguration and Robustness, which intersect with Distributed computing.
His Linear programming study in the realm of Mathematical optimization connects with subjects such as Manufacturing.
His most cited work include:
- Elementary siphons of Petri nets and their application to deadlock prevention in flexible manufacturing systems (567 citations)
- A Survey and Comparison of Petri Net-Based Deadlock Prevention Policies for Flexible Manufacturing Systems (232 citations)
- Deadlock Control of Automated Manufacturing Systems Based on Petri Nets—A Literature Review (211 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Petri net, Distributed computing, Deadlock prevention algorithms, Mathematical optimization and Deadlock.
His Petri net research is multidisciplinary, incorporating elements of Liveness, Theoretical computer science, Set and Integer programming.
His studies deal with areas such as Event and Algorithm as well as Set.
His biological study spans a wide range of topics, including Class, Control, Control reconfiguration and Control system.
His Deadlock prevention algorithms study incorporates themes from Flexible manufacturing system and Control engineering.
Many of his studies on Deadlock apply to Real-time computing as well.
He most often published in these fields:
- Petri net (55.27%)
- Distributed computing (28.24%)
- Deadlock prevention algorithms (18.63%)
What were the highlights of his more recent work (between 2019-2021)?
- Petri net (55.27%)
- Artificial intelligence (10.38%)
- Fuzzy logic (10.23%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Petri net, Artificial intelligence, Fuzzy logic, Theoretical computer science and Distributed computing.
The concepts of his Petri net study are interwoven with issues in Graph, Set, Reachability, Integer programming and Supervisory control.
His research integrates issues of Boundary, Mathematical optimization and Mutual exclusion in his study of Set.
In Artificial intelligence, he works on issues like Process, which are connected to Artificial neural network.
The Theoretical computer science study combines topics in areas such as Deadlock, State and State space.
His Distributed computing research incorporates themes from Multi-core processor, Event, Control reconfiguration and Job shop scheduling.
Between 2019 and 2021, his most popular works were:
- Improved Fuzzy Bayesian Network-Based Risk Analysis With Interval-Valued Fuzzy Sets and D–S Evidence Theory (53 citations)
- An adaptive Lagrangian relaxation-based algorithm for a coordinated water supply and wastewater collection network design problem (44 citations)
- An adaptive Lagrangian relaxation-based algorithm for a coordinated water supply and wastewater collection network design problem (44 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Statistics
Zhiwu Li mostly deals with Artificial intelligence, Petri net, Mathematical optimization, Fuzzy logic and Distributed computing.
Zhiwu Li combines subjects such as Machine learning and Pattern recognition with his study of Artificial intelligence.
Petri net and Fire accident are two areas of study in which he engages in interdisciplinary research.
His Mathematical optimization study combines topics in areas such as Class, Lyapunov function, Nonlinear system and Group.
He works mostly in the field of Distributed computing, limiting it down to concerns involving Control reconfiguration and, occasionally, Real-time computing, Available energy, Energy harvesting and Formal verification.
His research in the fields of Deadlock prevention algorithms overlaps with other disciplines such as Supervisor and Siphon.
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