What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Management
- Composite material
Jin Wang spends much of her time researching Evidential reasoning approach, Fuzzy logic, Artificial intelligence, Bayesian network and Fuzzy set.
Her Fuzzy logic research includes themes of Risk analysis and Reliability engineering.
Her research investigates the connection between Artificial intelligence and topics such as Machine learning that intersect with issues in Probabilistic logic and Identification.
Her Bayesian network study integrates concerns from other disciplines, such as Risk analysis, Bayes' theorem, Estimation, Civil engineering and Operations research.
Her study looks at the relationship between Fuzzy set and fields such as Data mining, as well as how they intersect with chemical problems.
The Inference study combines topics in areas such as Belief structure and Rule-based system.
Her most cited work include:
- MODIFIED FAILURE MODE AND EFFECTS ANALYSIS USING APPROXIMATE REASONING (408 citations)
- Belief rule-base inference methodology using the evidential reasoning Approach-RIMER (398 citations)
- Fuzzy Rule-Based Bayesian Reasoning Approach for Prioritization of Failures in FMEA (215 citations)
What are the main themes of her work throughout her whole career to date?
Jin Wang mainly focuses on Risk analysis, Evidential reasoning approach, Operations research, Risk assessment and Fuzzy logic.
Jin Wang studies Risk analysis, namely Risk analysis.
Among her Evidential reasoning approach studies, you can observe a synthesis of other disciplines of science such as Artificial intelligence, Reliability engineering, Machine learning, Inference and Fuzzy rule.
Her Operations research research is multidisciplinary, incorporating elements of Selection, Decision support system, Port, Bayesian network and Process.
She is interested in Fuzzy set, which is a branch of Fuzzy logic.
Her biological study spans a wide range of topics, including Analytic hierarchy process and Data mining.
She most often published in these fields:
- Risk analysis (20.40%)
- Evidential reasoning approach (18.40%)
- Operations research (18.00%)
What were the highlights of her more recent work (between 2018-2021)?
- Offshore wind power (3.20%)
- Marine engineering (7.20%)
- Bayesian network (14.80%)
In recent papers she was focusing on the following fields of study:
Offshore wind power, Marine engineering, Bayesian network, Structural engineering and Collision are her primary areas of study.
Her studies deal with areas such as Tower and Multiple attribute as well as Offshore wind power.
Her Marine engineering research is multidisciplinary, relying on both Software and Deck.
Her work on Bending moment, Foundation and Seismic analysis as part of general Structural engineering study is frequently linked to Displacement, therefore connecting diverse disciplines of science.
Her work in Identification addresses issues such as Flexibility, which are connected to fields such as Risk analysis.
Her research in Risk analysis intersects with topics in TOPSIS, Decision support system and Operational efficiency.
Between 2018 and 2021, her most popular works were:
- A knowledge-free path planning approach for smart ships based on reinforcement learning (24 citations)
- Application of a multiple attribute group decision making (MAGDM) model for selecting appropriate maintenance strategy for marine and offshore machinery operations (14 citations)
- Analysis of fishing vessel accidents with Bayesian network and Chi-square methods (9 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Management
- Composite material
Jin Wang focuses on Bayesian network, Structural engineering, Offshore wind power, Forensic engineering and Marine engineering.
Jin Wang frequently studies issues relating to Accident analysis and Bayesian network.
Her Seismic analysis, Foundation, Bending moment and Design load study in the realm of Structural engineering connects with subjects such as Multi body.
Her Seismic analysis study incorporates themes from Wind power and Aerodynamics.
Her work carried out in the field of Offshore wind power brings together such families of science as Tower, Servo, Mooring, Spar and Nonlinear system.
The various areas that Jin Wang examines in her Marine engineering study include Software, Risk management, Traffic simulation and Linear stability.
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