H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 64 Citations 16,192 172 World Ranking 1184 National Ranking 66

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Machine learning

The scientist’s investigation covers issues in Evidential reasoning approach, Artificial intelligence, Data mining, Machine learning and Fuzzy logic. His Evidential reasoning approach research is multidisciplinary, incorporating perspectives in Fuzzy set, Process and Dempster–Shafer theory. His Artificial intelligence research includes themes of Multiple-criteria decision analysis and Decision matrix.

His work investigates the relationship between Data mining and topics such as Legal expert system that intersect with problems in Pipeline and Test data. His research integrates issues of Decision theory and Rule-based system in his study of Machine learning. His studies deal with areas such as Risk management and Operations research as well as Decision analysis.

His most cited work include:

  • On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty (640 citations)
  • An evidential reasoning approach for multiple-attribute decision making with uncertainty (577 citations)
  • Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties (546 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Evidential reasoning approach, Artificial intelligence, Machine learning, Process and Mathematical optimization. His work deals with themes such as Multiple-criteria decision analysis and Inference, which intersect with Evidential reasoning approach. As part of his studies on Artificial intelligence, he often connects relevant subjects like Nonlinear programming.

He interconnects Reliability, Decision theory and Expert system in the investigation of issues within Machine learning. His Process research includes elements of New product development and Operations research. His study looks at the intersection of Decision support system and topics like Risk analysis with Risk assessment.

He most often published in these fields:

  • Evidential reasoning approach (48.79%)
  • Artificial intelligence (33.82%)
  • Machine learning (24.64%)

What were the highlights of his more recent work (between 2015-2021)?

  • Evidential reasoning approach (48.79%)
  • Artificial intelligence (33.82%)
  • Machine learning (24.64%)

In recent papers he was focusing on the following fields of study:

Jian-Bo Yang mainly investigates Evidential reasoning approach, Artificial intelligence, Machine learning, Process and Operations research. His research in Evidential reasoning approach intersects with topics in Multiple-criteria decision analysis, Belief distribution and Rule-based system. He combines subjects such as Risk analysis and Decision analysis with his study of Multiple-criteria decision analysis.

His Artificial intelligence research incorporates elements of Triage and Identification. His work in Machine learning addresses subjects such as Reliability, which are connected to disciplines such as Group decision-making. In his study, which falls under the umbrella issue of Process, Quality is strongly linked to Data-driven.

Between 2015 and 2021, his most popular works were:

  • A bibliometric analysis of operations research and management science (114 citations)
  • Data classification using evidence reasoning rule (87 citations)
  • Accounting Research: A Bibliometric Analysis (63 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Machine learning

Evidential reasoning approach, Artificial intelligence, Machine learning, Data mining and Belief distribution are his primary areas of study. His Evidential reasoning approach study necessitates a more in-depth grasp of Statistics. He has included themes like Analytic hierarchy process, Survey data collection, Aggregate and Patient experience in his Artificial intelligence study.

His Machine learning study incorporates themes from Business case, Reliability, Decision support system and Patient satisfaction. His Data mining research is multidisciplinary, incorporating elements of Classifier and Statistic. Jian-Bo Yang studied Process and Group decision-making that intersect with Decision matrix and Ranking.

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.

Top Publications

On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty

Jian-Bo Yang;Dong-Ling Xu.
systems man and cybernetics (2002)

958 Citations

An evidential reasoning approach for multiple-attribute decision making with uncertainty

Jian-Bo Yang;M.G. Singh.
IEEE Transactions on Systems, Man, and Cybernetics (1994)

862 Citations

Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties

Jian Bo Yang.
European Journal of Operational Research (2001)

791 Citations

Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean

Ying-Ming Wang;Kwai-Sang Chin;Gary Ka Kwai Poon;Jian-Bo Yang.
Expert Systems With Applications (2009)

677 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

Environmental impact assessment using the evidential reasoning approach

Ying Ming Wang;Ying Ming Wang;Jian Bo Yang;Dong Ling Xu.
European Journal of Operational Research (2006)

531 Citations

Multiple Criteria Decision Support in Engineering Design

Pratyush Sen;Jian-Bo Yang.
(1998)

506 Citations

Evidential reasoning rule for evidence combination

Jian-Bo Yang;Dong-Ling Xu.
Artificial Intelligence (2013)

396 Citations

The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties

Jian-Bo Yang;Jian-Bo Yang;Y. M. Wang;Y. M. Wang;Dong-Ling Xu;Kwai-Sang Chin.
European Journal of Operational Research (2006)

393 Citations

Interval efficiency assessment using data envelopment analysis

Ying-Ming Wang;Richard Greatbanks;Jian-Bo Yang.
Fuzzy Sets and Systems (2005)

391 Citations

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

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