2026 S. Joe Qin: 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	78	1189	1148	165	163	239	27472

S. Joe Qin 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 S. Joe Qin sits on this spectrum.

32 publications 991+

This scientist: 239 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

S. Joe Qin 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 S. Joe Qin sits on this spectrum.

30 D-Index 131+

This scientist: 78 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

S. Joe Qin is affiliated with Lingnan University in China and specializes in the field of Engineering, with a particular focus on Control and Systems Engineering as evidenced by the majority of their research output. Their work spans several subfields including Artificial Intelligence, Analytical Chemistry, Materials Chemistry, and Mechanical Engineering.

The scientist's recent research includes publications in a range of topics from system control to materials science. Key recent papers include:

"Constructing and optimizing core@shell structure CNTs@MoS2 nanocomposites as outstanding microwave absorbers" (2020, Applied Surface Science)
"Optimization, selective and efficient production of CNTs/Co_xFe_3−xO₄ core/shell nanocomposites as outstanding microwave absorbers" (2020, Journal of Materials Chemistry C)
"Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring" (2020, Annual Reviews in Control)
"Efficient Dynamic Latent Variable Analysis for High-Dimensional Time Series Data" (2020, IEEE Transactions on Industrial Informatics)
"Dynamic latent variable regression for inferential sensor modeling and monitoring" (2020, Computers & Chemical Engineering)

The research of S. Joe Qin addresses several main topics, such as:

Fault Detection and Control Systems
Spectroscopy and Chemometric Analyses
Control Systems and Identification
Advanced Control Systems Optimization
Neural Networks and Applications
Mineral Processing and Grinding
Topic Modeling

Frequent coauthors contributing to their work include Yining Dong, Haoran Xie, Fu Lee Wang, Xiaohui Tao, and Lishuai Li.

Several publication venues have been typical outlets for their work, indicating a diverse interdisciplinary approach. These venues include:

arXiv (Cornell University)
IFAC-PapersOnLine
SSRN Electronic Journal
IEEE Transactions on Industrial Informatics
Computers & Chemical Engineering

The collective output demonstrates a blend of theoretical and applied research, particularly emphasizing engineering systems, data analytics for process monitoring, and materials chemistry. Their work contributes frequently to advancing knowledge in control systems, dynamic modeling, and nanocomposite materials research.

Best Publications

A survey of industrial model predictive control technology

S.Joe Qin;Thomas A. Badgwell

6422
Citations
Statistical process monitoring: basics and beyond

S. Joe Qin

1862
Citations
Survey on data-driven industrial process monitoring and diagnosis

S. Joe Qin

1497
Citations
Recursive PCA for adaptive process monitoring

Weihua Li;H.Henry Yue;Sergio Valle-Cervantes;S.Joe Qin

1086
Citations
Recursive PLS algorithms for adaptive data modeling

S. Joe Qin

796
Citations
An overview of subspace identification

S. Joe Qin

787
Citations
Identification of faulty sensors using principal component analysis

Ricardo Dunia;S. Joe Qin;Thomas F. Edgar;Thomas J. McAvoy

762
Citations
Selection of the Number of Principal Components: The Variance of the Reconstruction Error Criterion with a Comparison to Other Methods†

Sergio Valle;and Weihua Li;S. Joe Qin

693
Citations
Nonlinear PLS Modeling Using Neural Networks

S.J. Qin;T.J. McAvoy

668
Citations
An Overview of Nonlinear Model Predictive Control Applications

S. Joe Qin;Thomas A. Badgwell

662
Citations
Reconstruction-based contribution for process monitoring

Carlos F. Alcala;S. Joe Qin

630
Citations
Reconstruction-Based Fault Identification Using a Combined Index

H. Henry Yue;S. Joe Qin

629
Citations
Multimode process monitoring with Bayesian inference‐based finite Gaussian mixture models

Jie Yu;S. Joe Qin

573
Citations
Subspace approach to multidimensional fault identification and reconstruction

Ricardo Dunia;S. Joe Qin

559
Citations
Total projection to latent structures for process monitoring

Donghua Zhou;Gang Li;S. Joe Qin

532
Citations
Control performance monitoring — a review and assessment

S. Joe Qin

509
Citations
Fault detection and diagnosis based on modified independent component analysis

Jong-Min Lee;S. Joe Qin;In-Beum Lee

505
Citations
A novel dynamic PCA algorithm for dynamic data modeling and process monitoring

Yining Dong;Yining Dong;S. Joe Qin;S. Joe Qin

482
Citations
Process data analytics in the era of big data

S. Joe Qin

473
Citations
Brief paper: Geometric properties of partial least squares for process monitoring

Gang Li;S. Joe Qin;Donghua Zhou

458
Citations
On unifying multiblock analysis with application to decentralized process monitoring

S. Joe Qin;Sergio Valle;Michael J. Piovoso

432
Citations
Multivariate process monitoring and fault diagnosis by multi-scale PCA

Manish Misra;H.Henry Yue;S.Joe Qin;Cheng Ling

345
Citations
Recursive PCA for Adaptive Process Monitoring

S. Joe Qin;Weihua Li;H. Henry Yue

28
Citations

Frequent Co-Authors

Tianyou Chai Northeastern University

Donghua Zhou Shandong University of Science and Technology

Lennart Ljung Linköping University

Terrence L. Blevins Emerson (Sweden)

Muhammad Sahimi University of Southern California

Thomas F. Edgar The University of Texas at Austin

Thomas J. McAvoy University of Maryland, College Park

In-Beum Lee Pohang University of Science and Technology

Ruilong Deng Zhejiang University

Theodore T. Tsotsis University of Southern California

External Links

Personal website of S. Joe Qin Google Scholar page

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