World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
11066
World Ranking
2660
National Ranking
366

Overview

Hong-yu Zhang is affiliated with Central South University in China and has contributed extensively to the field of Computer Science with a focus on Artificial Intelligence. Their research encompasses various subfields including Mechanical Engineering, Sociology and Political Science, Management Science and Operations Research, and Information Systems.

The scientist has published widely on topics such as Multi-Criteria Decision Making, Digital Marketing and Social Media, Intermetallics and Advanced Alloy Properties, Imbalanced Data Classification Techniques, Technology Adoption and User Behaviour, Rough Sets and Fuzzy Logic, and Titanium Alloys Microstructure and Properties.

Frequently co-authoring with collaborators, Hong-yu Zhang has worked closely with Jian-qiang Wang, Xiaokang Wang, Libin Liu, Haibin Zhu, and Ligang Zhang.

Key publication venues featuring their work include:

  • Journal of Intelligent & Fuzzy Systems
  • SSRN Electronic Journal
  • Expert Systems with Applications
  • Computers & Industrial Engineering
  • Expert Systems

Recent significant papers authored or co-authored by Hong-yu Zhang are:

  • A novel dynamic ensemble selection classifier for an imbalanced data set: An application for credit risk assessment (2020), Knowledge-Based Systems
  • Customer purchase forecasting for online tourism: A data-driven method with multiplex behavior data (2021), Tourism Management
  • Safety risk assessment of metro construction under epistemic uncertainty: An integrated framework using credal networks and the EDAS method (2021), Applied Soft Computing
  • The Recommendation Method for Hotel Selection Under Traveller Preference Characteristics: A Cloud-Based Multi-Criteria Group Decision Support Model (2021), Group Decision and Negotiation
  • Customer purchase prediction from the perspective of imbalanced data: A machine learning framework based on factorization machine (2021), Expert Systems with Applications

Best Publications

  • Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems

    Juan-juan Peng;Jian-qiang Wang;Jing Wang;Hong-yu Zhang

  • Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems

    Jian-qiang Wang;Jia-ting Wu;Jing Wang;Hong-yu Zhang

  • Interval neutrosophic sets and their application in multicriteria decision making problems.

    Hong-yu Zhang;Jian-qiang Wang;Xiao-hong Chen

  • An outranking approach for multi-criteria decision-making problems with simplified neutrosophic sets

    Juan-juan Peng;Jian-qiang Wang;Hong-yu Zhang;Xiao-hong Chen

  • Method of multi-criteria group decision-making based on cloud aggregation operators with linguistic information

    Jian-qiang Wang;Lu Peng;Hong-yu Zhang;Xiao-hong Chen

  • An integrated approach for failure mode and effects analysis based on fuzzy best-worst, relative entropy, and VIKOR methods

    Zhang-peng Tian;Jian-qiang Wang;Hong-yu Zhang

  • Picture fuzzy normalized projection-based VIKOR method for the risk evaluation of construction project

    Le Wang;Hong-yu Zhang;Jian-qiang Wang;Lin Li

  • An Uncertain Linguistic Multi-criteria Group Decision-Making Method Based on a Cloud Model

    Jian-qiang Wang;Juan-juan Peng;Juan-juan Peng;Hong-yu Zhang;Tao Liu

  • Multi-Criteria Decision-Making Method Based on Distance Measure and Choquet Integral for Linguistic Z-Numbers

    Jian-qiang Wang;Yong-xi Cao;Hong-yu Zhang

  • A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection

    Pu Ji;Hong-Yu Zhang;Jian-Qiang Wang

  • Cloud decision support model for selecting hotels on TripAdvisor.com with probabilistic linguistic information

    Hong-gang Peng;Hong-yu Zhang;Jian-qiang Wang

  • A novel decision support model for satisfactory restaurants utilizing social information: A case study of TripAdvisor.com

    Hong-yu Zhang;Pu Ji;Jian-qiang Wang;Xiao-hong Chen

  • An outranking approach for multi-criteria decision-making problems with interval-valued neutrosophic sets

    Hongyu Zhang;Jianqiang Wang;Xiaohong Chen

  • Simplified Neutrosophic Linguistic Multi-criteria Group Decision-Making Approach to Green Product Development

    Zhang-peng Tian;Jing Wang;Jian-qiang Wang;Hong-yu Zhang

  • An outranking approach for multi-criteria decision-making with hesitant fuzzy linguistic term sets

    Jian-qiang Wang;Jing Wang;Qing-hui Chen;Hong-yu Zhang

  • Investment risk evaluation for new energy resources: An integrated decision support model based on regret theory and ELECTRE III

    Hong-gang Peng;Kai-wen Shen;Sang-sang He;Hong-yu Zhang

  • A multi-phase QFD-based hybrid fuzzy MCDM approach for performance evaluation: A case of smart bike-sharing programs in Changsha

    Zhang-peng Tian;Jian-qiang Wang;Jing Wang;Hong-yu Zhang

  • Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets

    Zhang-peng Tian;Hong-yu Zhang;Jing Wang;Jian-qiang Wang

  • New operators on triangular intuitionistic fuzzy numbers and their applications in system fault analysis

    Jian-qiang Wang;Rongrong Nie;Hong-yu Zhang;Xiao-hong Chen

  • A likelihood-based TODIM approach based on multi-hesitant fuzzy linguistic information for evaluation in logistics outsourcing

    Jing Wang;Jian-qiang Wang;Hong-yu Zhang

  • Multi-criteria decision-making methods based on the Hausdorff distance of hesitant fuzzy linguistic numbers

    Jian-Qiang Wang;Jia-Ting Wu;Jing Wang;Hong-Yu Zhang

Frequent Co-Authors

Jianqiang Wang
Jianqiang Wang Central South University
Pei Wang
Pei Wang Shenzhen University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees can open doors to a wide range of career opportunities in computer science and related fields. For those seeking a shorter path, online associate degree programs provide foundational knowledge and can help you start working in entry-level tech positions quickly.

For individuals focused on maximizing their educational investment, it’s important to consider masters degrees that are worth it. These advanced programs are designed to boost your earning potential and make you more competitive in the tech job market.

Budget-conscious students can find excellent value by enrolling in cheap online college classes. Many accredited institutions offer flexible and affordable coursework, making it easier to fit education into any schedule.

Even if you don't have a high GPA, you still have options. Several universities for low gpa accept students with various academic backgrounds, ensuring that motivated learners have the chance to pursue a future in computer science.

Best Scientists Citing Hong-yu Zhang

Trending Scientists

Recently Published Articles