2026 Yong Shi: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	66	2318	2249	320	317	605	18131

Yong Shi publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yong Shi sits on this spectrum.

32 publications 991+

This scientist: 605 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Yong Shi D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yong Shi sits on this spectrum.

30 D-Index 131+

This scientist: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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

1429
Citations
The Role of Text Pre-processing in Sentiment Analysis

Emma Haddi;Xiaohui Liu;Yong Shi

806
Citations
EVALUATION OF CLASSIFICATION ALGORITHMS USING MCDM AND RANK CORRELATION

Gang Kou;Yanqun Lu;Yi Peng;Yong Shi

605
Citations
A descriptive framework for the field of data mining and knowledge discovery

Yong Shi;Zhengxin Chen;Yi Peng

428
Citations
Robust twin support vector machine for pattern classification

Zhiquan Qi;Yingjie Tian;Yong Shi

363
Citations
The analytic hierarchy process: task scheduling and resource allocation in cloud computing environment

Daji Ergu;Gang Kou;Yi Peng;Yong Shi

361
Citations
Computational Science – ICCS 2007

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

327
Citations
Optimization Based Data Mining: Theory and Applications

Yong Shi;Yingjie Tian;Gang Kou;Yi Peng

318
Citations
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

285
Citations
Credit card churn forecasting by logistic regression and decision tree

Guangli Nie;Wei Rowe;Lingling Zhang;Yingjie Tian

274
Citations
Nonparallel Support Vector Machines for Pattern Classification

Yingjie Tian;Zhiquan Qi;Xuchan Ju;Yong Shi

273
Citations
FAMCDM: A fusion approach of MCDM methods to rank multiclass classification algorithms

Yi Peng;Gang Kou;Guoxun Wang;Yong Shi

247
Citations
Analytic network process in risk assessment and decision analysis

Daji Ergu;Gang Kou;Yong Shi;Yu Shi

244
Citations
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

239
Citations
Laplacian twin support vector machine for semi-supervised classification

Zhiquan Qi;Yingjie Tian;Yong Shi

227
Citations
An empirical study of classification algorithm evaluation for financial risk prediction

Yi Peng;Guoxun Wang;Gang Kou;Yong Shi

226
Citations
Recent advances on support vector machines research

Yingjie Tian;Yong Shi;Xiaohui Liu

225
Citations
ENSEMBLE OF SOFTWARE DEFECT PREDICTORS: AN AHP-BASED EVALUATION METHOD

Yi Peng;Gang Kou;Guoxun Wang;Wenshuai Wu

224
Citations
Public blockchain evaluation using entropy and TOPSIS

Huimin Tang;Huimin Tang;Yong Shi;Peiwu Dong

214
Citations
What are the Underlying Transmission Patterns of COVID-19 Outbreak? - An Age-specific Social Contact Characterization.

Yang Liu;Zhonglei Gu;Shang Xia;Benyun Shi

171
Citations
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

0
Citations

Frequent Co-Authors

Yingjie Tian University of Chinese Academy of Sciences

Gang Kou Southwestern University of Finance and Economics

Yi Peng University of Electronic Science and Technology of China

Peng Zhang Huazhong University of Science and Technology

Xingquan Zhu Florida Atlantic University

Yanchun Zhang Victoria University

Jack Dongarra University of Tennessee at Knoxville

Peter M. A. Sloot University of Amsterdam

Ning Zhong Maebashi Institute of Technology

Philip S. Yu University of Illinois at Chicago

External Links

Personal website of Yong Shi Google Scholar page

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

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a wide range of related degrees and flexible career pathways. Online education offers a chance to upgrade your skills or transition into new fields without geographic barriers, often at a fraction of the traditional on-campus price. Choosing the cheapest online college ensures you keep student debt low, especially for those starting with a bachelor’s degree.

Many students interested in technology gravitate toward specialized programs like the cheapest online engineering degree. For those already in leadership roles or looking to advance their management skills, an affordable emba program can make career acceleration achievable and budget-friendly.

Beyond computing and business, library science is another in-demand tech-related field. Completing an mlis online equips graduates with information management skills vital for modern libraries, archives, and digital repositories.

With so many accessible online options, students can tailor their academic journey to meet their interests, budget, and career ambitions in today’s ever-evolving digital landscape.