H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 33 Citations 5,766 148 World Ranking 6630 National Ranking 634

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Statistics

Zhihua Cui mostly deals with Mathematical optimization, Swarm intelligence, Optimization problem, Metaheuristic and Benchmark. The study incorporates disciplines such as Theoretical computer science and Parallel processing in addition to Mathematical optimization. His work deals with themes such as Firefly algorithm, Global optimization and Artificial intelligence, which intersect with Swarm intelligence.

His Optimization problem research is multidisciplinary, incorporating perspectives in Optimization algorithm, Floorplan, B-tree, High dimensional and Cyber-physical system. His Benchmark research is multidisciplinary, incorporating perspectives in Statistics and Simulation. His Particle swarm optimization research includes themes of Convergence, Swarm behaviour and Key.

His most cited work include:

  • Monarch butterfly optimization (291 citations)
  • Swarm Intelligence and Bio-Inspired Computation: Theory and Applications (216 citations)
  • Detection of Malicious Code Variants Based on Deep Learning (182 citations)

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

Zhihua Cui focuses on Mathematical optimization, Particle swarm optimization, Artificial intelligence, Multi-swarm optimization and Algorithm. His study connects Convergence and Mathematical optimization. His work in the fields of Particle swarm optimization, such as Premature convergence, intersects with other areas such as Position.

His study in Artificial intelligence is interdisciplinary in nature, drawing from both Optimization algorithm, Machine learning, Data mining and Pattern recognition. His study looks at the intersection of Multi-swarm optimization and topics like Metaheuristic with Flocking. In his study, Selection is inextricably linked to Benchmark, which falls within the broad field of Swarm intelligence.

He most often published in these fields:

  • Mathematical optimization (61.81%)
  • Particle swarm optimization (37.69%)
  • Artificial intelligence (30.65%)

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

  • Algorithm (25.13%)
  • Mathematical optimization (61.81%)
  • Artificial intelligence (30.65%)

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

His scientific interests lie mostly in Algorithm, Mathematical optimization, Artificial intelligence, Optimization problem and Genetic algorithm. His Algorithm study combines topics in areas such as Wireless sensor network, Key and Hop. His Mathematical optimization research integrates issues from Theoretical computer science and Selection.

In general Artificial intelligence, his work in Pattern recognition, Computational intelligence and Soft computing is often linked to Computational Science and Engineering linking many areas of study. His Optimization problem research is multidisciplinary, incorporating elements of Swarm intelligence, Cyber-physical system and Benchmark. His studies deal with areas such as Statistics, Simulation and Bat algorithm as well as Benchmark.

Between 2018 and 2021, his most popular works were:

  • Monarch butterfly optimization (291 citations)
  • High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm (112 citations)
  • A pigeon-inspired optimization algorithm for many-objective optimization problems (109 citations)

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

  • Artificial intelligence
  • Algorithm
  • Statistics

The scientist’s investigation covers issues in Optimization problem, Wireless sensor network, Algorithm, Mathematical optimization and Optimization algorithm. Zhihua Cui has researched Optimization problem in several fields, including Floorplan, Evolutionary computation, Cyber-physical system and Benchmark. His Wireless sensor network study integrates concerns from other disciplines, such as Network topology, Error detection and correction, Thesaurus and Hop.

When carried out as part of a general Algorithm research project, his work on Bat algorithm and Global optimization is frequently linked to work in Coupling, therefore connecting diverse disciplines of study. In the subject of general Mathematical optimization, his work in Simulated annealing is often linked to Supercomputer, thereby combining diverse domains of study. The various areas that Zhihua Cui examines in his Optimization algorithm study include Swarm intelligence and High dimensional.

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

Monarch butterfly optimization

Gai-Ge Wang;Gai-Ge Wang;Suash Deb;Zhihua Cui.
Neural Computing and Applications (2019)

412 Citations

Swarm Intelligence and Bio-Inspired Computation: Theory and Applications

Xin-She Yang;Zhihua Cui;Renbin Xiao;Amir Hossein Gandomi.
(2013)

402 Citations

Detection of Malicious Code Variants Based on Deep Learning

Zhihua Cui;Fei Xue;Xingjuan Cai;Yang Cao.
IEEE Transactions on Industrial Informatics (2018)

256 Citations

Firefly algorithm with neighborhood attraction

Hui Wang;Wenjun Wang;Xinyu Zhou;Hui Sun.
Information Sciences (2017)

196 Citations

Optimal LEACH protocol with modified bat algorithm for big data sensing systems in Internet of Things

Zhihua Cui;Yang Cao;Xingjuan Cai;Jianghui Cai.
Journal of Parallel and Distributed Computing (2018)

193 Citations

Hybrid multi-objective cuckoo search with dynamical local search

Maoqing Zhang;Hui Wang;Zhihua Cui;Jinjun Chen;Jinjun Chen.
Memetic Computing (2018)

191 Citations

High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm

Gai-Ge Wang;Xingjuan Cai;Zhihua Cui;Geyong Min.
IEEE Transactions on Emerging Topics in Computing (2020)

179 Citations

A pigeon-inspired optimization algorithm for many-objective optimization problems

Zhihua Cui;Zhihua Cui;Jiangjiang Zhang;Yechuang Wang;Yang Cao.
Science in China Series F: Information Sciences (2019)

145 Citations

Bat algorithm with triangle-flipping strategy for numerical optimization

Xingjuan Cai;Hui Wang;Zhihua Cui;Jianghui Cai.
International Journal of Machine Learning and Cybernetics (2018)

121 Citations

A FAST PARTICLE SWARM OPTIMIZATION

Zhihua Cui;Jianchao Zeng;Guoji Sun.
(2006)

104 Citations

Editorial Boards

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Best Scientists Citing Zhihua Cui

Gai-Ge Wang

Gai-Ge Wang

Ocean University of China

Publications: 56

Xin-She Yang

Xin-She Yang

Middlesex University

Publications: 36

Jinjun Chen

Jinjun Chen

Swinburne University of Technology

Publications: 18

Jeng-Shyang Pan

Jeng-Shyang Pan

Shandong University of Science and Technology

Publications: 18

Amir H. Alavi

Amir H. Alavi

University of Pittsburgh

Publications: 18

Amir H. Gandomi

Amir H. Gandomi

University of Technology Sydney

Publications: 18

Suash Deb

Suash Deb

Biju Patnaik University of Technology

Publications: 16

Ying Tan

Ying Tan

Peking University

Publications: 13

Javier Del Ser

Javier Del Ser

University of the Basque Country

Publications: 12

Mohammed Azmi Al-Betar

Mohammed Azmi Al-Betar

Ajman University of Science and Technology

Publications: 12

Milan Tuba

Milan Tuba

Singidunum University

Publications: 12

Xiao-Zhi Gao

Xiao-Zhi Gao

University of Eastern Finland

Publications: 11

Seyedali Mirjalili

Seyedali Mirjalili

Torrens University Australia

Publications: 10

Ahmed El-Shafie

Ahmed El-Shafie

University of Malaya

Publications: 7

Dunwei Gong

Dunwei Gong

China University of Mining and Technology

Publications: 7

Leandro dos Santos Coelho

Leandro dos Santos Coelho

Pontifícia Universidade Católica do Paraná

Publications: 7

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