2026 Chuangyin Dang: 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	50	5598	5440	743	738	243	10618

Overview

Chuangyin Dang is a researcher affiliated with the City University of Hong Kong in China. Their academic work primarily spans the fields of Computer Science and Economics, Econometrics and Finance, with significant contributions also noted in subfields such as Economics and Econometrics, Management Science and Operations Research, Computer Vision and Pattern Recognition, Numerical Analysis, and Artificial Intelligence.

Their research focuses on a range of topics, including:

Game Theory and Applications
Economic Theories and Models
Advanced Optimization Algorithms Research
Face and Expression Recognition
Video Surveillance and Tracking Methods
Game Theory and Voting Systems
Supply Chain and Inventory Management

Dang has contributed to numerous journals and conference publications. Their frequent publication venues include:

arXiv (Cornell University)
International Journal of Machine Learning and Cybernetics
SSRN Electronic Journal
INFORMS Journal on Computing
Journal of Optimization Theory and Applications

Among their recent published papers are:

"Distributed Prescribed-Time Formation Control for Underactuated Surface Vehicles With Input Saturation: Theory and Experiment" (2024), published in IEEE Transactions on Intelligent Transportation Systems
"An Interior-Point Differentiable Path-Following Method to Compute Stationary Equilibria in Stochastic Games" (2022), published in INFORMS Journal on Computing
"The Optimal Carbon Tax Mechanism for Managing Carbon Emissions" (2023), published in Socio-Economic Planning Sciences
"Path-based Estimation for Link Prediction" (2021), published in International Journal of Machine Learning and Cybernetics
"Multiple Metric Learning via Local Metric Fusion" (2022), published in Information Sciences

Dang has collaborated frequently with other researchers, including:

Yiyin Cao
Peixuan Li
Jiye Liang
P. Jean-Jacques Herings
Zhiqing Meng

Best Publications

MGRS: A multi-granulation rough set

Yuhua Qian;Jiye Liang;Yiyu Yao;Chuangyin Dang

937
Citations
Positive approximation: An accelerator for attribute reduction in rough set theory

Yuhua Qian;Jiye Liang;Witold Pedrycz;Chuangyin Dang

829
Citations
Incomplete Multigranulation Rough Set

Yuhua Qian;Jiye Liang;Chuangyin Dang

458
Citations
A NEW METHOD FOR MEASURING UNCERTAINTY AND FUZZINESS IN ROUGH SET THEORY

Jiye Liang;Kwai-Sang Chin;Chuangyin Dang;Richard C. M. Yam

441
Citations
A Group Incremental Approach to Feature Selection Applying Rough Set Technique

Jiye Liang;Feng Wang;Chuangyin Dang;Yuhua Qian

363
Citations
Stability Analysis of Positive Switched Linear Systems With Delays

Xingwen Liu;Chuangyin Dang

344
Citations
Knowledge structure, knowledge granulation and knowledge distance in a knowledge base

Yuhua Qian;Jiye Liang;Chuangyin Dang

239
Citations
Interval ordered information systems

Yuhua Qian;Jiye Liang;Chuangyin Dang

236
Citations
An efficient accelerator for attribute reduction from incomplete data in rough set framework

Yuhua Qian;Jiye Liang;Witold Pedrycz;Chuangyin Dang

233
Citations
An efficient rough feature selection algorithm with a multi-granulation view

Jiye Liang;Feng Wang;Chuangyin Dang;Yuhua Qian

232
Citations
Set-valued ordered information systems

Yuhua Qian;Chuangyin Dang;Jiye Liang;Dawei Tang

228
Citations
Information Granularity in Fuzzy Binary GrC Model

Yuhua Qian;Jiye Liang;Wei-zhi Z Wu;Chuangyin Dang

215
Citations
An Evolutionary Algorithm for Global Optimization Based on Level-Set Evolution and Latin Squares

Yuping Wang;Chuangyin Dang

183
Citations
Fuzzy-rough feature selection accelerator

Yuhua Qian;Qi Wang;Honghong Cheng;Jiye Liang

173
Citations
A dissimilarity measure for the k-Modes clustering algorithm

Fuyuan Cao;Jiye Liang;Deyu Li;Liang Bai

169
Citations
Determining the number of clusters using information entropy for mixed data

Jiye Liang;Xingwang Zhao;Deyu Li;Fuyuan Cao

163
Citations
An aftertreatment technique for improving the accuracy of Adomian's decomposition method

Y.C. Jiao;Y. Yamamoto;C. Dang;Y. Hao

159
Citations
Local rough set: A solution to rough data analysis in big data

Yuhua Qian;Xinyan Liang;Qi Wang;Jiye Liang

151
Citations
Measures for evaluating the decision performance of a decision table in rough set theory

Yuhua Qian;Jiye Liang;Deyu Li;Haiyun Zhang

139
Citations
The $K$ -Means-Type Algorithms Versus Imbalanced Data Distributions

Jiye Liang;Liang Bai;Chuangyin Dang;Fuyuan Cao

138
Citations
Attribute reduction for dynamic data sets

Feng Wang;Jiye Liang;Chuangyin Dang

127
Citations

Frequent Co-Authors

Jiye Liang Shanxi University

Yuhua Qian Shanxi University

Shouyang Wang Chinese Academy of Sciences

Yinyu Ye Stanford University

Xiaoli Li Singapore University of Technology and Design

Songtao Guo Chongqing University

Hamid Reza Karimi Polytechnic University of Milan

Bing Liu University of Illinois at Chicago

Witold Pedrycz University of Alberta

Kwai-Sang Chin City University of Hong Kong

External Links

Personal website of Chuangyin Dang Google Scholar page

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