Leaderboards/Advanced Statistical Process Monitoring

Advanced Statistical Process Monitoring

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Julian Senoner
ETH Zurich
2
Marta Fernandes
Polytechnic Institute of Porto
3
Marc Schmitt
University of Oxford
4
Yasin Tadayonrad
Université Libre de Bruxelles
5
Nabarun Deb
Woodlawn School
6
Husnain Ali
Punjab Medical College
7
Thanos E. Goltsos
Cardiff University
8
Peng Peng
Zhejiang University-University of Edinburgh Institute
9
Mario Angos Mediavilla
University of Wuppertal
10
Arnab Mitra
Delhi Technological University

Rising Stars Papers

1
Digital deception: generative artificial intelligence in social engineering and phishing
Artificial Intelligence Review|2024
104 cit.
2
Explainable AI improves task performance in human–AI collaboration
Scientific Reports|2024
77 cit.
3
Robust statistical industrial fault monitoring: A machine learning-based distributed CCA and low frequency control charts
Chemical Engineering Science|2024
45 cit.
4
Intelligent machine learning-based multi-model fusion monitoring: application to industrial physio-chemical systems
Control Engineering Practice|2025
44 cit.
5
Advance industrial monitoring of physio-chemical processes using novel integrated machine learning approach
Journal of Industrial Information Integration|2024
42 cit.
6
Fault detection using machine learning based dynamic ICA-distributed CCA: Application to industrial chemical process
Digital Chemical Engineering|2024
41 cit.
7
A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes
Machine Learning Science and Technology|2024
38 cit.
8
Hybrid Fusion Paradigm in Advanced Process Monitoring: A Panoramic Review and Future Perspectives
Industrial & Engineering Chemistry Research|2025
25 cit.
9
Process monitoring and dynamic fusion of complex industrial systems: A reconstruction-based Bayesian framework
Computers & Chemical Engineering|2025
18 cit.
10
Effect of propofol and ciprofol on the euphoric reaction in patients with painless gastroscopy: A prospective randomized controlled trial
Heliyon|2024
13 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Amy Overbay
North Carolina State University
2
Sandile Charles Shongwe
University of the Free State
3
Kim Phuc Tran
Université de Lille
4
Arne Johannssen
Harz University of Applied Sciences
5
Muhammad Abid
Princess of Wales Hospital
6
Jimmy Iskandar
Applied Materials (Germany)
7
Casper Willestofte Berg
Technical University of Denmark
8
Zhijiang Lou
Shenzhen Polytechnic University
9
To‐Cheng Wang
R.O.C Military Academy
10
Matthew D. M. Pawley
University of Exeter

Emerging Leaders Papers

1
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems
Computers in Industry|2022
129 cit.
2
A novel multivariate statistical process monitoring algorithm: Orthonormal subspace analysis
Automatica|2022
108 cit.
3
Federated Learning-Based Explainable Anomaly Detection for Industrial Control Systems
IEEE Access|2022
102 cit.
4
Explainable Anomaly Detection for Industrial Control System Cybersecurity
IFAC-PapersOnLine|2022
64 cit.
5
Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction
Computers in Industry|2023
56 cit.
6
Integration of production–maintenance planning and monitoring simple linear profiles via Hotelling's T2 control chart and particle swarm optimization
Computers & Industrial Engineering|2023
27 cit.
7
Monitoring non-parametric profiles using adaptive EWMA control chart
Scientific Reports|2022
24 cit.
8
Developing a cost-efficient dual sampling system for lot disposition by considering process yield and quality loss
Quality Engineering|2022
23 cit.
9
Developing a flexible and efficient dual sampling system for food quality and safety validation
Food Control|2022
22 cit.
10
Development of an adaptive sampling system based on a process capability index with flexible switching mechanism
International Journal of Production Research|2022
21 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Douglas C. Montgomery
Arizona State University
2
William H. Woodall
Virginia Tech
3
John F. MacGregor
McMaster University
4
Pierre Perrón
Boston University
5
Shutao Li
Centre for Artificial Intelligence and Robotics
6
Werner A. Stahel
ETH Zurich
7
Chi‐Hyuck Jun
Pohang University of Science and Technology
8
S. Joe Qin
Lingnan University
9
Fugee Tsung
Hong Kong University of Science and Technology
10
Pramod K. Varshney
Syracuse University

Current Senior Leaders Papers

1
Testing for a unit root in time series regression
Biometrika|1988
17.9k cit.
2
Response Surface Methodology: Process and Product Optimization Using Designed Experiments
Technometrics|1996
9.6k cit.
3
Introduction to Statistical Quality Control
Technometrics|1992
7.9k cit.
4
The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis
Econometrica|1989
7.7k cit.
5
Estimating and Testing Linear Models with Multiple Structural Changes
Econometrica|1998
6k cit.
6
A survey of industrial model predictive control technology
Control Engineering Practice|2003
5k cit.
7
ADASYN: Adaptive synthetic sampling approach for imbalanced learning
Unknown Journal|2008
4.4k cit.
8
LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power
Econometrica|2001
4k cit.
9
Response Surface Methodology
IIE Transactions|1996
3.8k cit.
10
Robust Statistics: The Approach Based on Influence Functions
Technometrics|1987
3.8k cit.

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