H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 52 Citations 9,098 193 World Ranking 1259 National Ranking 536

Research.com Recognitions

Awards & Achievements

2012 - IEEE Fellow For contributions to theory and biomedical applications of fuzzy control

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Artificial intelligence
  • Enzyme

Hao Ying spends much of his time researching Control theory, Fuzzy logic, Fuzzy control system, Defuzzification and Fuzzy number. His studies in Control theory integrate themes in fields like Event, Fuzzy set, Automotive engineering, System identification and Sequence. Fuzzy logic is the subject of his research, which falls under Artificial intelligence.

Hao Ying interconnects PID controller and Nonlinear system in the investigation of issues within Fuzzy control system. His Defuzzification research is multidisciplinary, incorporating perspectives in Fuzzy set operations, Fuzzy classification, Fuzzy associative matrix and Algorithm. His study explores the link between Fuzzy number and topics such as Mathematical optimization that cross with problems in Fuzzy measure theory.

His most cited work include:

  • Fuzzy control theory: a nonlinear case (432 citations)
  • Apparatus and method for noninvasive doppler ultrasound-guided real-time control of tissue damage in thermal therapy (290 citations)
  • Fuzzy Control and Modeling: Analytical Foundations and Applications (250 citations)

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

His main research concerns Fuzzy logic, Control theory, Fuzzy control system, Defuzzification and Fuzzy number. Hao Ying works on Fuzzy logic which deals in particular with Fuzzy set. His work on Adaptive neuro fuzzy inference system is typically connected to Mean arterial pressure as part of general Fuzzy control system study, connecting several disciplines of science.

He combines subjects such as Fuzzy set operations and Fuzzy associative matrix with his study of Defuzzification. His Fuzzy set operations research is multidisciplinary, incorporating elements of Neuro-fuzzy and Fuzzy classification. His study in Fuzzy number is interdisciplinary in nature, drawing from both Mathematical optimization and Applied mathematics.

He most often published in these fields:

  • Fuzzy logic (39.46%)
  • Control theory (29.22%)
  • Fuzzy control system (27.41%)

What were the highlights of his more recent work (between 2014-2021)?

  • Internal medicine (13.86%)
  • Endocrinology (13.25%)
  • Cell biology (6.63%)

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

The scientist’s investigation covers issues in Internal medicine, Endocrinology, Cell biology, Fuzzy logic and Skeletal muscle. His Fuzzy logic research includes themes of Event and Control theory. His Control theory study focuses on Control theory in particular.

His research investigates the link between Fuzzy control system and topics such as Mathematical optimization that cross with problems in Lyapunov function. The study incorporates disciplines such as Neuro-fuzzy, Machine learning and Fuzzy classification in addition to Fuzzy number. His work on Fuzzy set operations and Defuzzification as part of general Fuzzy set study is frequently connected to Gaussian, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

Between 2014 and 2021, his most popular works were:

  • A Self-restricted CRISPR System to Reduce Off-target Effects (51 citations)
  • microRNA-378 promotes autophagy and inhibits apoptosis in skeletal muscle. (39 citations)
  • miR-24 and miR-122 Negatively Regulate the Transforming Growth Factor-β/Smad Signaling Pathway in Skeletal Muscle Fibrosis (33 citations)

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

  • Gene
  • Artificial intelligence
  • Enzyme

Hao Ying focuses on Cell biology, Endocrinology, Internal medicine, Signal transduction and Skeletal muscle. His Cell biology study integrates concerns from other disciplines, such as Programmed cell death and Adipose tissue, Thermogenin, Brown adipose tissue, Thermogenesis. Hao Ying performs integrative study on Endocrinology and KLF9 in his works.

His research integrates issues of Wallerian degeneration and SARM1 Gene in his study of Internal medicine. The various areas that Hao Ying examines in his Signal transduction study include Fibrosis, Skeletal muscle fibrosis, Myocyte and microRNA. In his study, Hormone is strongly linked to Stem cell, which falls under the umbrella field of microRNA.

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

Fuzzy control theory: a nonlinear case

Hao Ying;William Siler;James J. Buckley.
Automatica (1990)

649 Citations

Fuzzy Control and Modeling: Analytical Foundations and Applications

Hao Ying.
(2000)

556 Citations

Apparatus and method for noninvasive doppler ultrasound-guided real-time control of tissue damage in thermal therapy

Hao Ying;Craig J. Hartley.
(1996)

524 Citations

General SISO Takagi-Sugeno fuzzy systems with linear rule consequent are universal approximators

Hao Ying.
IEEE Transactions on Fuzzy Systems (1998)

303 Citations

Sufficient conditions on general fuzzy systems as function approximators

Hao Ying.
Automatica (1994)

283 Citations

Sufficient conditions on uniform approximation of multivariate functions by general Takagi-Sugeno fuzzy systems with linear rule consequent

Hao Ying.
systems man and cybernetics (1998)

255 Citations

Modeling and control of fuzzy discrete event systems

Feng Lin;Hao Ying.
systems man and cybernetics (2002)

241 Citations

Introduction to Type-2 Fuzzy Logic Control: Theory and Applications

Jerry Mendel;Hani Hagras;Woei-Wan Tan;William W. Melek.
(2014)

212 Citations

The simplest fuzzy controllers using different inference methods are different nonlinear proportional-integral controllers with variable gains

Hao Ying.
Automatica (1993)

207 Citations

Contrasting Skeletal Phenotypes in Mice with an Identical Mutation Targeted to Thyroid Hormone Receptor α1 or β

Patrick J. O’Shea;J. H. Duncan Bassett;Srividya Sriskantharajah;Hao Ying.
Molecular Endocrinology (2005)

171 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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