2026 Jiye Liang: 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	67	2213	2146	303	300	254	16183

Jiye Liang 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 Jiye Liang sits on this spectrum.

32 publications 991+

This scientist: 254 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Jiye Liang 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 Jiye Liang sits on this spectrum.

30 D-Index 131+

This scientist: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Overview

Jiye Liang is affiliated with Shanxi University in China and specializes in computer science, with a strong focus on artificial intelligence and related subfields. Their research portfolio encompasses areas such as advanced graph neural networks, face and expression recognition, and domain adaptation and few-shot learning.

Their scholarly output includes publications in a variety of prominent venues, including:

Information Sciences
International Journal of Machine Learning and Cybernetics
Pattern Recognition
IEEE Transactions on Knowledge and Data Engineering
arXiv (Cornell University)

Jiye Liang's recent research papers demonstrate a diverse interest in graph algorithms, clustering methods, and multi-modal data analysis. Selected recent works include:

"A community detection algorithm based on graph compression for large-scale social networks" (2020, Information Sciences)
"A fusion collaborative filtering method for sparse data in recommender systems" (2020, Information Sciences)
"Multi-view graph convolutional networks with attention mechanism" (2022, Artificial Intelligence)
"A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters" (2020, Information Fusion)
"AF: An Association-Based Fusion Method for Multi-Modal Classification" (2021, IEEE Transactions on Pattern Analysis and Machine Intelligence)

In terms of research topics, Jiye Liang's work frequently addresses:

Advanced Graph Neural Networks
Face and Expression Recognition
Domain Adaptation and Few-Shot Learning
Text and Document Classification Technologies
Advanced Clustering Algorithms Research
Rough Sets and Fuzzy Logic
Complex Network Analysis Techniques

Their collaborative network includes multiple frequent co-authors, reflecting a consistent interdisciplinary engagement with peers. Frequent collaborators include:

Fuyuan Cao
Liang Bai
Kaixuan Yao
Jianqing Liang
Xian Yang

Jiye Liang's contributions mainly fall within the broad field of computer science, with 283 publications contributing to this domain. Their subfield focus spans artificial intelligence, computer vision and pattern recognition, information systems, computational theory and mathematics, and statistical and nonlinear physics.

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
THE INFORMATION ENTROPY, ROUGH ENTROPY AND KNOWLEDGE GRANULATION IN ROUGH SET THEORY

Jiye Liang;Jiye Liang;Zhongzhi Shi

452
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
Multigranulation decision-theoretic rough sets

Yuhua Qian;Hu Zhang;Yanli Sang;Jiye Liang

418
Citations
An efficient instance selection algorithm for k nearest neighbor regression

Yunsheng Song;Jiye Liang;Jing Lu;Xingwang Zhao

417
Citations
Information entropy, rough entropy and knowledge granulation in incomplete information systems

Jiye Liang;Z. Shi;Deyu Li;Mark J. Wierman

388
Citations
A Group Incremental Approach to Feature Selection Applying Rough Set Technique

Jiye Liang;Feng Wang;Chuangyin Dang;Yuhua Qian

363
Citations
The algorithm on knowledge reduction in incomplete information systems

Jiye Liang;Zongben Xu

241
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
A new initialization method for categorical data clustering

Unknown

222
Citations
Information Granularity in Fuzzy Binary GrC Model

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

215
Citations
COMBINATION ENTROPY AND COMBINATION GRANULATION IN ROUGH SET THEORY

Yuhua Qian;Jiye Liang

211
Citations
Fast density clustering strategies based on the k-means algorithm

Liang Bai;Liang Bai;Liang Bai;Xueqi Cheng;Jiye Liang;Huawei Shen

199
Citations
A new measure of uncertainty based on knowledge granulation for rough sets

Jiye Liang;Junhong Wang;Yuhua Qian

198
Citations
Rough Set Method Based on Multi-Granulations

Y.H. Qian;J.Y. Liang

187
Citations

Frequent Co-Authors

Yuhua Qian Shanxi University

Chuangyin Dang City University of Hong Kong

Deyu Li Shanxi University

Yike Guo Hong Kong Baptist University

Zhongzhi Shi Chinese Academy of Sciences

Xueqi Cheng Chinese Academy of Sciences

Qinghua Hu Tianjin University

Wei-Zhi Wu Zhejiang Ocean University

Bing Liu University of Illinois at Chicago

Witold Pedrycz University of Alberta

External Links

Personal website of Jiye Liang Google Scholar page

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