World's Best Scientists 2026 revealed!
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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
50
Citations
9525
World Ranking
5637
National Ranking
73

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Ning Zhong is affiliated with the Maebashi Institute of Technology in Japan. Their research spans multiple fields, primarily focusing on Engineering and Computer Science, with significant contributions also within Mechanical Engineering, Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering, and Computational Theory and Mathematics.

Their work covers a variety of topics including:

  • Computability, Logic, AI Algorithms
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Cellular Automata and Applications
  • Advanced Battery Materials and Technologies
  • Advancements in Battery Materials
  • Cell Image Analysis Techniques

Ning Zhong's recent publications demonstrate a breadth of research interests and interdisciplinary approaches. Selected recent papers include:

  • "A Tandem Electrocatalysis of Sulfur Reduction by Bimetal 2D MOFs" (2021) published in Advanced Energy Materials
  • "Comprehensive Design of the High-Sulfur-Loading Li-S Battery Based on MXene Nanosheets" (2020) in Nano-Micro Letters
  • "Size-Dependent Cobalt Catalyst for Lithium Sulfur Batteries: From Single Atoms to Nanoclusters and Nanoparticles" (2021) in Small Methods
  • "Electrolyte Solvation Chemistry for the Solution of High-Donor-Number Solvent for Stable Li-S Batteries" (2022) in Small
  • "HybridEEGNet: A Convolutional Neural Network for EEG Feature Learning and Depression Discrimination" (2020) in IEEE Access

Frequent co-authors in Ning Zhong's network include:

  • Hongzhi Kuai
  • Jianhui Chen
  • Xiaohui Tao
  • Qianlin Wu
  • Daniel S. Graça

The scientist has published several books through Springer Science+Business Media, including multiple editions of "Brain Informatics" and titles focused on intelligence and data mining:

  • "Applied Intelligence and Informatics" (2021)
  • "Brain Informatics" (2020, 2021, 2022 editions)
  • "Advances in Knowledge Discovery and Data Mining" (2022)

Ning Zhong has published consistently in venues such as Web Intelligence, Materials and Corrosion, arXiv (Cornell University), IEEE Access, and Nature Methods, reflecting a multidisciplinary approach spanning engineering, materials science, and computer science.

Best Publications

  • Effective Pattern Discovery for Text Mining

    Ning Zhong;Yuefeng Li;Sheng-Tang Wu

  • Using Rough Sets with Heuristics for Feature Selection

    Ning Zhong;Juzhen Dong;Setsuo Ohsuga

  • New Directions in Rough Sets, Data Mining, and Granular-Soft Computing

    Ning Zhong;Andrzej Skowron;Setsuo Ohsuga

  • An Analysis of Quantitative Measures Associated with Rules

    Y. Y. Yao;Ning Zhong

  • Mining ontology for automatically acquiring Web user information needs

    Yuefeng Li;Ning Zhong

  • Peculiarity oriented multidatabase mining

    Ning Zhong;Y.Y.Y. Yao;M. Ohishima

  • In search of the wisdom web

    Ning Zhong;Jiming Liu;Yiyu Yao

  • Toward web intelligence

    Ning Zhong

  • Towards LarKC: A Platform for Web-Scale Reasoning

    D. Fensel;F. van Harmelen;B. Andersson;P. Brennan

  • A Personalized Ontology Model for Web Information Gathering

    Xiaohui Tao;Yuefeng Li;Ning Zhong

  • Research challenges and perspectives on Wisdom Web of Things (W2T)

    Ning Zhong;Jian Hua Ma;Run He Huang;Ji Ming Liu

  • Human Emotion Recognition with Electroencephalographic Multidimensional Features by Hybrid Deep Neural Networks

    Youjun Li;Jiajin Huang;Haiyan Zhou;Ning Zhong

  • Web mining model and its applications for information gathering

    Yuefeng Li;Ning Zhong

  • Granular computing using information tables

    Y. Y. Yao;Ning Zhong

  • Web Intelligence (WI) Research Challenges and Trends in the New Information Age

    Y. Y. Yao;Ning Zhong;Jiming Liu;Setsuo Ohsuga

  • A rough set-based knowledge discovery process

    Ning Zhong;Andrzej Skowron

  • Methodologies for Knowledge Discovery and Data Mining

    Unknown

  • Intelligent technologies for information analysis

    Ning Zhong;Jiming Liu

  • Data analysis and mining in ordered information tables

    Ying Sai;Y.Y. Yao;Ning Zhong

  • Ontology Mining for Personalized Web Information Gathering

    Xiaohui Tao;Yuefeng Li;Ning Zhong;Richi Nayak

  • Web Intelligence (WI)

    Ning Zhong;Jiming Liu;Y.Y. Yao;S. Ohsuga

  • Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence

    Andrzej Skowron;Rakesh Agrawal;Michael Luck;Takahira Yamaguchi

  • Using Rough Sets with Heuristics for Feature Selection

    Juzhen Dong;Ning Zhong;Setsuo Ohsuga

Frequent Co-Authors

Yiyu Yao
Yiyu Yao University of Regina
Jiming Liu
Jiming Liu Hong Kong Baptist University
Yuefeng Li
Yuefeng Li Queensland University of Technology
Kuncheng Li
Kuncheng Li Capital Medical University
Bin Hu
Bin Hu Lanzhou University
Jianhua Ma
Jianhua Ma Hosei University
Andrzej Skowron
Andrzej Skowron University of Warsaw
Yong Shi
Yong Shi Chinese Academy of Sciences
Renjie Chai
Renjie Chai Southeast University
Ron Sun
Ron Sun Rensselaer Polytechnic Institute

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