D-Index & Metrics Best Publications

D-Index & Metrics 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.

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
Electronics and Electrical Engineering D-index 62 Citations 13,736 389 World Ranking 861 National Ranking 102
Computer Science D-index 61 Citations 15,119 436 World Ranking 1955 National Ranking 186

Research.com Recognitions

Awards & Achievements

2011 - IEEE Fellow For contributions to non-planar microwave filters and embedded radio frequency passive circuits

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Electrical engineering
  • Machine learning

His primary areas of investigation include Control theory, Electric power system, Mathematical optimization, Artificial intelligence and Control engineering. His Control theory research includes elements of Upper and lower bounds and Stability. His Electric power system study integrates concerns from other disciplines, such as Electronic engineering, AC power, Electric power transmission and Optimal control.

The study incorporates disciplines such as Algorithm, Convergence and Power flow in addition to Mathematical optimization. His work investigates the relationship between Artificial intelligence and topics such as Pattern recognition that intersect with problems in Image segmentation. His Optimization problem course of study focuses on Pareto principle and Wind power.

His most cited work include:

  • Group Search Optimizer: An Optimization Algorithm Inspired by Animal Searching Behavior (518 citations)
  • A particle swarm optimizer with passive congregation. (318 citations)
  • An improved particle swarm optimizer for mechanical design optimization problems (294 citations)

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

His primary areas of study are Control theory, Electric power system, Mathematical optimization, Control engineering and Algorithm. His Control theory study often links to related topics such as Permanent magnet synchronous generator. His biological study spans a wide range of topics, including Genetic algorithm, Electronic engineering and AC power.

Qinghua Wu interconnects Wind power, Crossover and Economic dispatch in the investigation of issues within Mathematical optimization. His research on Control engineering frequently connects to adjacent areas such as Optimal control. Qinghua Wu has included themes like Evolutionary computation and Benchmark in his Evolutionary algorithm study.

He most often published in these fields:

  • Control theory (29.51%)
  • Electric power system (23.67%)
  • Mathematical optimization (21.73%)

What were the highlights of his more recent work (between 2018-2021)?

  • Mathematical optimization (21.73%)
  • Oxidative stress (12.37%)
  • Cancer research (6.36%)

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

Qinghua Wu spends much of his time researching Mathematical optimization, Oxidative stress, Cancer research, Energy and Crossover. His study in the fields of Heuristics under the domain of Mathematical optimization overlaps with other disciplines such as Vertex. His Oxidative stress study combines topics from a wide range of disciplines, such as Toxin, Trichothecene and Reactive oxygen species.

In his study, Pharmacology is strongly linked to Metabolism, which falls under the umbrella field of Reactive oxygen species. In his work, Kinase is strongly intertwined with Cancer, which is a subfield of Cancer research. His Energy research is multidisciplinary, incorporating elements of Distributed generation, Optimization problem, Complex system and State.

Between 2018 and 2021, his most popular works were:

  • JNK signaling in cancer cell survival. (51 citations)
  • JNK signaling in cancer cell survival. (51 citations)
  • JNK signaling in cancer cell survival. (51 citations)

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

  • Artificial intelligence
  • Electrical engineering
  • Statistics

The scientist’s investigation covers issues in Oxidative stress, Cancer research, Cancer, Kinase and Apoptosis. His studies in Oxidative stress integrate themes in fields like Ochratoxin A, Signal transduction, Hypoxia-inducible factors and Myopathy. His study in Signal transduction is interdisciplinary in nature, drawing from both Molecular biology and Toxin.

His research in Cancer research intersects with topics in Suppressor and Histone. His Kinase research is multidisciplinary, relying on both Cancer therapy, Targeted therapy, Cancer cell apoptosis and Signalling. When carried out as part of a general Apoptosis research project, his work on Autophagy is frequently linked to work in stat, therefore connecting diverse disciplines of study.

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

Group Search Optimizer: An Optimization Algorithm Inspired by Animal Searching Behavior

S. He;Q.H. Wu;J.R. Saunders.
IEEE Transactions on Evolutionary Computation (2009)

807 Citations

Delay-Dependent Stability for Load Frequency Control With Constant and Time-Varying Delays

L. Jiang;W. Yao;Q. H. Wu;J. Y. Wen.
IEEE Transactions on Power Systems (2012)

503 Citations

A particle swarm optimizer with passive congregation.

S. He;Q.H. Wu;J.Y. Wen;J.R. Saunders.
BioSystems (2004)

485 Citations

An improved particle swarm optimizer for mechanical design optimization problems

S He;E Prempain;Q H Wu.
Engineering Optimization (2004)

469 Citations

Optimal reactive power dispatch using an adaptive genetic algorithm

Q.H. Wu;Y.J. Cao;J.Y. Wen.
International Journal of Electrical Power & Energy Systems (1998)

452 Citations

A heuristic particle swarm optimizer for optimization of pin connected structures

L. J. Li;Z. B. Huang;F. Liu;Q. H. Wu.
Computers & Structures (2007)

441 Citations

Power system optimal reactive power dispatch using evolutionary programming

Q.H. Wu;J.T. Ma.
IEEE Transactions on Power Systems (1995)

428 Citations

Optimal reactive power dispatch using an adaptive genetic algorithm

Y.J. Cao;Q.H. Wu.
international conference on genetic algorithms (1997)

385 Citations

The antioxidant, immunomodulatory, and anti-inflammatory activities of Spirulina: an overview

Qinghua Wu;Qinghua Wu;Lian Liu;Anca Miron;Blanka Klímová.
Archives of Toxicology (2016)

347 Citations

Electric Load Forecasting Based on Locally Weighted Support Vector Regression

Ehab E Elattar;John Goulermas;Q H Wu.
systems man and cybernetics (2010)

321 Citations

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