World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
18131
World Ranking
2318
National Ranking
320

Research.com Recognitions

  • 2015 - Fellow, The World Academy of Sciences

Overview

Yong Shi is affiliated with the Chinese Academy of Sciences in China and has a research focus primarily within the field of Computer Science, contributing extensively to this domain with 171 publications. Their scholarly work spans diverse subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Management Science and Operations Research, and Economics and Econometrics.

The scientist's research topics cover a wide range of subjects. These include:

  • Stock Market Forecasting Methods
  • Anomaly Detection Techniques and Applications
  • Galaxies: Formation, Evolution, Phenomena
  • Astronomy and Astrophysical Research
  • Network Security and Intrusion Detection
  • Face and Expression Recognition
  • Complex Systems and Time Series Analysis

Yong Shi's recent papers, published largely in 2020, demonstrate engagement with both methodological innovation and applied research. Key recent publications include:

  • What are the underlying transmission patterns of COVID-19 outbreak? An age-specific social contact characterization (2020), published in EClinicalMedicine
  • User reviews: Sentiment analysis using lexicon integrated two-channel CNN-LSTM family models (2020), published in Applied Soft Computing
  • Unsupervised anomaly segmentation via deep feature reconstruction (2020), published in Neurocomputing
  • Intelligent intrusion detection based on federated learning aided long short-term memory (2020), published in Physical Communication
  • Fuzzy-Based Concept Learning Method: Exploiting Data With Fuzzy Conceptual Clustering (2020), published in IEEE Transactions on Cybernetics

Collaborations form a significant part of their scholarly activity, with frequent co-authors including Lingfeng Niu, Zhiquan Qi, Pei Quan, Kun Guo, and Yingjie Tian.

Yong Shi's work has been widely disseminated through specific publication venues known for their relevance in computer science and related fields. These venues include:

  • arXiv (Cornell University) with 20 publications
  • Procedia Computer Science with 19 publications
  • International Journal of Information Technology & Decision Making with 9 publications
  • Neural Networks with 6 publications
  • IEEE Transactions on Cybernetics with 4 publications

The scientist has also contributed to the academic book landscape with several titles published by Springer International Publishing, Springer Science+Business Media, and World Scientific. Notable books include:

  • Intelligent Sustainable Systems (2022, 3 citations)
  • Risk Assessment and Financial Regulation in Emerging Markets' Banking (2021, 5 citations)
  • Data Science (2020, 30 citations)
  • Innovative Approaches to Decision Making (2024)

Award recognition includes being named a Fellow of The World Academy of Sciences in 2015.

Best Publications

  • Automatic Road Crack Detection Using Random Structured Forests

    Yong Shi;Limeng Cui;Zhiquan Qi;Fan Meng

  • The Role of Text Pre-processing in Sentiment Analysis

    Emma Haddi;Xiaohui Liu;Yong Shi

  • EVALUATION OF CLASSIFICATION ALGORITHMS USING MCDM AND RANK CORRELATION

    Gang Kou;Yanqun Lu;Yi Peng;Yong Shi

  • A descriptive framework for the field of data mining and knowledge discovery

    Yong Shi;Zhengxin Chen;Yi Peng

  • Robust twin support vector machine for pattern classification

    Zhiquan Qi;Yingjie Tian;Yong Shi

  • The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment

    Daji Ergu;Gang Kou;Yi Peng;Yong Shi

  • Computational Science – ICCS 2007

    Yong Shi;Geert Dick van Albada;Jack Dongarra;Peter M. A. Sloot

  • Optimization Based Data Mining: Theory and Applications

    Yong Shi;Yingjie Tian;Gang Kou;Yi Peng

  • A simple method to improve the consistency ratio of the pair-wise comparison matrix in ANP

    Daji Ergu;Daji Ergu;Gang Kou;Yi Peng;Yong Shi;Yong Shi

  • Credit card churn forecasting by logistic regression and decision tree

    Guangli Nie;Wei Rowe;Lingling Zhang;Yingjie Tian

  • Nonparallel Support Vector Machines for Pattern Classification

    Yingjie Tian;Zhiquan Qi;Xuchan Ju;Yong Shi

  • FAMCDM: A fusion approach of MCDM methods to rank multiclass classification algorithms

    Yi Peng;Gang Kou;Guoxun Wang;Yong Shi

  • Analytic network process in risk assessment and decision analysis

    Daji Ergu;Gang Kou;Yong Shi;Yu Shi

  • An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization

    Seyed Mojtaba Hosseini Bamakan;Huadong Wang;Tian Yingjie;Yong Shi

  • Laplacian twin support vector machine for semi-supervised classification

    Zhiquan Qi;Yingjie Tian;Yong Shi

  • An empirical study of classification algorithm evaluation for financial risk prediction

    Yi Peng;Guoxun Wang;Gang Kou;Yong Shi

  • Recent advances on support vector machines research

    Yingjie Tian;Yong Shi;Xiaohui Liu

  • ENSEMBLE OF SOFTWARE DEFECT PREDICTORS: AN AHP-BASED EVALUATION METHOD

    Yi Peng;Gang Kou;Guoxun Wang;Wenshuai Wu

  • Public blockchain evaluation using entropy and TOPSIS

    Huimin Tang;Huimin Tang;Yong Shi;Peiwu Dong

  • What are the Underlying Transmission Patterns of COVID-19 Outbreak? - An Age-specific Social Contact Characterization.

    Yang Liu;Zhonglei Gu;Shang Xia;Benyun Shi

  • Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27 - 30, 2007, Proceedings, Part III

    Yong Shi;G Dick van Albada;Jack Dongarra;Peter M A Sloot

Frequent Co-Authors

Yingjie Tian
Yingjie Tian University of Chinese Academy of Sciences
Gang Kou
Gang Kou Southwestern University of Finance and Economics
Yi Peng
Yi Peng University of Electronic Science and Technology of China
Peng Zhang
Peng Zhang Huazhong University of Science and Technology
Xingquan Zhu
Xingquan Zhu Florida Atlantic University
Yanchun Zhang
Yanchun Zhang Victoria University
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Peter M. A. Sloot
Peter M. A. Sloot University of Amsterdam
Ning Zhong
Ning Zhong Maebashi Institute of Technology
Philip S. Yu
Philip S. Yu University of Illinois at Chicago

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