D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 49 Citations 8,644 185 World Ranking 1618 National Ranking 104

Overview

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

MODIFIED FAILURE MODE AND EFFECTS ANALYSIS USING APPROXIMATE REASONING

Anand Pillay;Jin Wang.
Reliability Engineering & System Safety (2003)

740 Citations

Belief rule-base inference methodology using the evidential reasoning Approach-RIMER

Jian-Bo Yang;Jun Liu;Jin Wang;How-Sing Sii.
systems man and cybernetics (2006)

561 Citations

Automatic Identification System (AIS) : data reliability and human error implications

Abbas Harati-Mokhtari;Alan Wall;Philip Brooks;Jin Wang.
Journal of Navigation (2007)

296 Citations

Fuzzy Rule-Based Bayesian Reasoning Approach for Prioritization of Failures in FMEA

Zaili Yang;S. Bonsall;Jin Wang.
IEEE Transactions on Reliability (2008)

294 Citations

Inference and learning methodology of belief-rule-based expert system for pipeline leak detection

Dong Ling Xu;Jun Liu;Jian Bo Yang;Guo Ping Liu;Guo Ping Liu;Guo Ping Liu.
Expert Systems With Applications (2007)

273 Citations

Safety analysis and synthesis using fuzzy sets and evidential reasoning

J. Wang;J.B. Yang;P. Sen.
Reliability Engineering & System Safety (1995)

228 Citations

A fuzzy-logic-based approach to qualitative safety modelling for marine systems

How Sing Sii;Tom Ruxton;Jin Wang.
Reliability Engineering & System Safety (2001)

228 Citations

Formal safety assessment of cruise ships

P Lois;J Wang;A Wall;T Ruxton.
Tourism Management (2004)

217 Citations

Optimization Models for Training Belief-Rule-Based Systems

Jian-Bo Yang;Jun Liu;Dong-Ling Xu;Jin Wang.
systems man and cybernetics (2007)

205 Citations

Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River

Di Zhang;Xinping Yan;Zaili Yang;Alan D. Wall.
Reliability Engineering & System Safety (2013)

193 Citations

Best Scientists Citing Jin Wang

Jian-Bo Yang

Jian-Bo Yang

University of Manchester

Publications: 95

Zaili Yang

Zaili Yang

Liverpool John Moores University

Publications: 63

Dong-Ling Xu

Dong-Ling Xu

University of Manchester

Publications: 58

Xinping Yan

Xinping Yan

Wuhan University of Technology

Publications: 50

Hu-Chen Liu

Hu-Chen Liu

Tongji University

Publications: 37

Faisal Khan

Faisal Khan

Memorial University of Newfoundland

Publications: 33

Luis Martínez

Luis Martínez

University of Jaén

Publications: 26

Yong Deng

Yong Deng

Southwest University

Publications: 26

Ying-Ming Wang

Ying-Ming Wang

Fuzhou University

Publications: 24

Pentti Kujala

Pentti Kujala

Aalto University

Publications: 22

C. Guedes Soares

C. Guedes Soares

Instituto Superior Técnico

Publications: 21

Min Xie

Min Xie

City University of Hong Kong

Publications: 21

Jakub Montewka

Jakub Montewka

Aalto University

Publications: 21

Baoping Cai

Baoping Cai

China University of Petroleum, Beijing

Publications: 20

Kwai-Sang Chin

Kwai-Sang Chin

City University of Hong Kong

Publications: 20

Genserik Reniers

Genserik Reniers

Delft University of Technology

Publications: 18

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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