2026 Miin-Shen Yang: 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	54	4495	4366	31	31	211	14431

Miin-Shen Yang 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 Miin-Shen Yang sits on this spectrum.

32 publications 991+

This scientist: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Miin-Shen Yang 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 Miin-Shen Yang sits on this spectrum.

30 D-Index 131+

This scientist: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Miin-Shen Yang is affiliated with Chung Yuan Christian University in Taiwan. Their research primarily spans the fields of Computer Science and Decision Sciences, with a focus on subfields including Management Science and Operations Research, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, and Control and Systems Engineering.

The scientist has contributed extensively to topics such as Multi-Criteria Decision Making, Advanced Clustering Algorithms Research, Face and Expression Recognition, Optimization and Mathematical Programming, Fuzzy and Soft Set Theory, Fuzzy Systems and Optimization, and Rough Sets and Fuzzy Logic.

Frequent publication venues for their work include:

IEEE Access
Symmetry
Mathematics
Electronics
Pattern Recognition

Some recent papers authored by or involving this scientist are:

Unsupervised K-Means Clustering Algorithm, 2020, IEEE Access
TOPSIS Method Based on Complex Spherical Fuzzy Sets with Bonferroni Mean Operators, 2020, Mathematics
Complex T-Spherical Fuzzy Aggregation Operators with Application to Multi-Attribute Decision Making, 2020, Symmetry
Novel Aczel-Alsina Operators for Pythagorean Fuzzy Sets with Application in Multi-Attribute Decision Making, 2022, Symmetry
Aczel-Alsina Aggregation Operators on T-Spherical Fuzzy (TSF) Information With Application to TSF Multi-Attribute Decision Making, 2022, IEEE Access

Collaborations have been frequent with several researchers, including:

Zeeshan Ali
Tahir Mahmood
Josephine Bernadette M. Benjamin
Kristina P. Sinaga
Yasir Akhtar

In addition to journal publications, Miin-Shen Yang has contributed to book literature, notably publishing with Springer Science+Business Media. A key book title is "Theory and Practice of Natural Computing," published in 2020.

Best Publications

Unsupervised K-Means Clustering Algorithm

Kristina P. Sinaga;Miin-Shen Yang

1941
Citations
Alternative c-means clustering algorithms

Kuo-Lung Wu;Miin-Shen Yang

783
Citations
Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance

Wen-Liang Hung;Miin-Shen Yang

714
Citations
A survey of fuzzy clustering

M. S. Yang

683
Citations
A cluster validity index for fuzzy clustering

Kuo-Lung Wu;Miin-Shen Yang

556
Citations
A robust EM clustering algorithm for Gaussian mixture models

Miin-Shen Yang;Chien-Yo Lai;Chih-Ying Lin

382
Citations
Fuzzy entropy on intuitionistic fuzzy sets

Wen-Liang Hung;Miin-Shen Yang

298
Citations
On a class of fuzzy c -numbers clustering procedures for fuzzy data

Miin-Shen Yang;Chen-Hsiu Ko

290
Citations
Unsupervised possibilistic clustering

Miin-Shen Yang;Kuo-Lung Wu

278
Citations
Similarity measures of intuitionistic fuzzy sets based on L p metric

Wen-Liang Hung;Miin-Shen Yang

275
Citations
A similarity-based robust clustering method

Miin-Shen Yang;Kuo-Lung Wu

267
Citations
Segmentation techniques for tissue differentiation in MRI of ophthalmology using fuzzy clustering algorithms.

Miin Shen Yang;Yu Jen Hu;Karen Chia-Ren Lin;Charles Chia-Lee Lin

254
Citations
A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction

Miin-Shen Yang;Hsu-Shen Tsai

242
Citations
On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition

Wen-Liang Hung;Miin-Shen Yang

227
Citations
Mean shift-based clustering

Kuo-Lung Wu;Miin-Shen Yang

216
Citations
A similarity measure of intuitionistic fuzzy sets based on the Sugeno integral with its application to pattern recognition

Chao-Ming Hwang;Miin-Shen Yang;Wen-Liang Hung;Ming-Gay Lee

202
Citations
A Feature-Reduction Fuzzy Clustering Algorithm Based on Feature-Weighted Entropy

Miin-Shen Yang;Yessica Nataliani

176
Citations
On a class of fuzzy classification maximum likelihood procedures

Miin-Shen Yang

173
Citations
Fuzzy least-squares linear regression analysis for fuzzy input-output data

Miin-Shen Yang;Tzu-Shun Lin

171
Citations
Fuzzy clustering algorithms for mixed feature variables

Miin-Shen Yang;Pei-Yuan Hwang;De-Hua Chen

166
Citations
TOPSIS Method Based on Complex Spherical Fuzzy Sets with Bonferroni Mean Operators

Zeeshan Ali;Tahir Mahmood;Miin-Shen Yang

161
Citations

Frequent Co-Authors

Jian Yu Beijing Jiaotong University

Tahir Mahmood International Islamic University, Islamabad

Muhammad Riaz South China Agricultural University

External Links

Personal website of Miin-Shen Yang Google Scholar page

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