World's Best Scientists 2026 revealed!

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Computer Science

D-Index
51
Citations
8713
World Ranking
5412
National Ranking
70

Overview

Shangce Gao is affiliated with the University of Toyama in Japan and has an extensive research record primarily in the fields of Computer Science and Engineering. Their research contributions span various subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Electrical and Electronic Engineering, and Control and Systems Engineering.

The scientist's work largely focuses on metaheuristic optimization algorithms, advanced multi-objective optimization algorithms, evolutionary algorithms, and their applications. Additional research interests include neural networks, energy load and power forecasting, human pose and action recognition, and machine learning with extreme learning machines (ELM).

Shangce Gao has published frequently in several academic venues, with notable publication counts in:

  • Knowledge-Based Systems
  • IEICE Transactions on Information and Systems
  • IEEE/CAA Journal of Automatica Sinica
  • Applied Soft Computing
  • IEEE Access

They have collaborated with various frequent coauthors, including:

  • Zhenyu Lei
  • Jiujun Cheng
  • Yirui Wang
  • Yuki Todo
  • Haichuan Yang

Selected recent papers by Shangce Gao highlight significant contributions to optimization and modeling:

  • A state-of-the-art differential evolution algorithm for parameter estimation of solar photovoltaic models, 2021, Energy Conversion and Management

Other notable papers in related areas from the broader context of the field include works by coauthors and peers such as:

  • Complex-Valued Neural Networks: A Comprehensive Survey, 2022, IEEE/CAA Journal of Automatica Sinica
  • A multi-layered gravitational search algorithm for function optimization and real-world problems, 2021, IEEE/CAA Journal of Automatica Sinica
  • A seasonal-trend decomposition-based dendritic neuron model for financial time series prediction, 2021, Applied Soft Computing
  • An aggregative learning gravitational search algorithm with self-adaptive gravitational constants, 2020, Expert Systems with Applications

Best Publications

  • Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction

    Shangce Gao;Mengchu Zhou;Yirui Wang;Jiujun Cheng

  • Routing in Internet of Vehicles: A Review

    Jiujun Cheng;Junlu Cheng;Mengchu Zhou;Fuqiang Liu

  • Chaotic Local Search-Based Differential Evolution Algorithms for Optimization

    Shangce Gao;Yang Yu;Yirui Wang;Jiahai Wang

  • Complex-Valued Neural Networks: A Comprehensive Survey

    Unknown

  • Ant colony optimization with clustering for solving the dynamic location routing problem

    Shangce Gao;Yirui Wang;Jiujun Cheng;Yasuhiro Inazumi

  • A state-of-the-art differential evolution algorithm for parameter estimation of solar photovoltaic models

    Shangce Gao;Kaiyu Wang;Sichen Tao;Ting Jin

  • Financial time series prediction using a dendritic neuron model

    Tianle Zhou;Shangce Gao;Jiahai Wang;Chaoyi Chu

  • A multi-layered gravitational search algorithm for function optimization and real-world problems

    Yirui Wang;Shangce Gao;Mengchu Zhou;Yang Yu

  • CBSO: a memetic brain storm optimization with chaotic local search

    Yang Yu;Shangce Gao;Shi Cheng;Yirui Wang

  • Gravitational search algorithm combined with chaos for unconstrained numerical optimization

    Shangce Gao;Catherine Vairappan;Yan Wang;Qiping Cao

  • A hierarchical gravitational search algorithm with an effective gravitational constant

    Yirui Wang;Yang Yu;Shangce Gao;Haiyu Pan

  • A seasonal-trend decomposition-based dendritic neuron model for financial time series prediction

    Houtian He;Shangce Gao;Ting Jin;Syuhei Sato

  • A review of applications of artificial intelligent algorithms in wind farms

    Yirui Wang;Yang Yu;Shuyang Cao;Xingyi Zhang

  • An aggregative learning gravitational search algorithm with self-adaptive gravitational constants

    Zhenyu Lei;Shangce Gao;Shubham Gupta;Jiujun Cheng

  • Information-Theory-based Nondominated Sorting Ant Colony Optimization for Multiobjective Feature Selection in Classification

    Unknown

  • An approximate logic neuron model with a dendritic structure

    Junkai Ji;Shangce Gao;Jiujun Cheng;Zheng Tang

  • Global optimum-based search differential evolution

    Yang Yu;Shangce Gao;Yirui Wang;Yuki Todo

  • Bi-objective Elite Differential Evolution Algorithm for Multivalued Logic Networks

    Jian Sun;Shangce Gao;Hongwei Dai;Jiujun Cheng

  • Accessibility Analysis and Modeling for IoV in an Urban Scene

    Jiujun Cheng;Guiyuan Yuan;Mengchu Zhou;Shangce Gao

  • A Connectivity-Prediction-Based Dynamic Clustering Model for VANET in an Urban Scene

    Jiujun Cheng;Guiyuan Yuan;MengChu Zhou;Shangce Gao

  • Incorporation of Solvent Effect into Multi-Objective Evolutionary Algorithm for Improved Protein Structure Prediction

    Shangce Gao;Shuangbao Song;Jiujun Cheng;Yuki Todo

  • Batch type local search-based adaptive neuro-fuzzy inference system (ANFIS) with self-feedbacks for time-series prediction

    Catherine Vairappan;Hiroki Tamura;Shangce Gao;Zheng Tang

  • A Novel Method for Detecting New Overlapping Community in Complex Evolving Networks

    Jiujun Cheng;Xiao Wu;Mengchu Zhou;Shangce Gao

Frequent Co-Authors

MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Jun S. Liu
Jun S. Liu Harvard University
Chen Peng
Chen Peng Shanghai University
Abdullah Abusorrah
Abdullah Abusorrah King Abdulaziz University
Qingfu Zhang
Qingfu Zhang City University of Hong Kong
Antti Ylä-Jääski
Antti Ylä-Jääski Aalto University
Shi Cheng
Shi Cheng Shaanxi Normal University
Hui Yu
Hui Yu University of Portsmouth

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