Leaderboards/Control Systems and Identification

Control Systems and Identification

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Sahin Lale
California Institute of Technology
2
Haoming Xing
Jiangnan University
3
Huan Xu
Georgia Institute of Technology
4
Jimei Li
Jiangnan University
5
Alan A. Kaptanoglu
Courant Institute of Mathematical Sciences
6
Lakshminarayana Janjanam
SRM University
7
Kaiqun Zhu
University of Macau
8
Chris Verhoek
University of Pennsylvania
9
Daniele Masti
Gran Sasso Science Institute
10
Leonard Bauersfeld
Zurich Insurance Group (Switzerland)

Rising Stars Papers

1
Highly-efficient filtered hierarchical identification algorithms for multiple-input multiple-output systems with colored noises
Systems & Control Letters|2024
92 cit.
2
Online identification methods for a class of Hammerstein nonlinear systems using the adaptive particle filtering
Chaos Solitons & Fractals|2024
68 cit.
3
Privacy-Preserving Control for 2-D Systems With Guaranteed Probability
IEEE Transactions on Systems Man and Cybernetics Systems|2024
27 cit.
4
Secure State Estimation for Artificial Neural Networks With Unknown-But-Bounded Noises: A Homomorphic Encryption Scheme
IEEE Transactions on Neural Networks and Learning Systems|2024
23 cit.
5
Encryption-decryption-based set-membership filtering for two-dimensional systems: on security and boundedness
Automatica|2025
22 cit.
6
Attack-Resistant Sliding Mode Control for Markov Jump Systems With Redundant Channels: A Novel Two-Layer Mapping approach
IEEE Transactions on Automation Science and Engineering|2024
19 cit.
7
Identification of the Silverbox benchmark using extended polynomial kernel-based nonlinear observer canonical models
Mechanical Systems and Signal Processing|2025
18 cit.
8
Online Parameter Optimization Scheme for the Kernel Function-Based Mixture Models Disturbed by Colored Noises
IEEE Transactions on Circuits & Systems II Express Briefs|2024
17 cit.
9
Secure Observer-Based Collision-Free Control for Autonomous Vehicles Under Non-Gaussian Noises
IEEE Transactions on Industrial Informatics|2024
16 cit.
10
Data-Driven Dissipativity Analysis of Linear Parameter-Varying Systems
IEEE Transactions on Automatic Control|2024
15 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Christian K. Wolf
Massachusetts Institute of Technology
2
Shuangshuang Xiong
Beijing Information Science & Technology University
3
Kui Fu
Hubei University of Medicine
4
Wenfang Ding
Hubei University of Technology
5
Giuseppe Roberto Marseglia
University of Pavia
6
Sergey Dushenko
National Institute of Standards and Technology
7
Yihong Zhou
Suzhou University of Science and Technology
8
Lucíola Campestrini
Universidade Federal do Rio Grande do Sul
9
Zao-Jian Zou
Shanghai Jiao Tong University
10
Zhen Kang
Qingdao University of Science and Technology

Emerging Leaders Papers

1
Filtered auxiliary model recursive generalized extended parameter estimation methods for Box–Jenkins systems by means of the filtering identification idea
International Journal of Robust and Nonlinear Control|2023
180 cit.
2
Filtered generalized iterative parameter identification for equation‐error autoregressive models based on the filtering identification idea
International Journal of Adaptive Control and Signal Processing|2024
108 cit.
3
Online Network-Based Identification and its Application in Satellite Attitude Control Systems
IEEE Transactions on Aerospace and Electronic Systems|2022
87 cit.
4
Monetary Policy and Inequality
The Journal of Economic Perspectives|2023
84 cit.
5
Local projections vs. VARs: Lessons from thousands of DGPs
Journal of Econometrics|2024
77 cit.
6
A novel recursive multivariate nonlinear time-series modeling method by using the coupling identification concept
Applied Mathematical Modelling|2023
62 cit.
7
Black-box modeling of ship maneuvering motion based on multi-output nu-support vector regression with random excitation signal
Ocean Engineering|2022
57 cit.
8
The Missing Intercept: A Demand Equivalence Approach
American Economic Review|2023
51 cit.
9
What Can Time‐Series Regressions Tell Us About Policy Counterfactuals?
Econometrica|2023
44 cit.
10
Identification modeling of ship maneuvering motion based on local Gaussian process regression
Ocean Engineering|2022
41 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Donald B. Rubin
Tsinghua University
2
Feng Ding
Nanjing Institute of Vegetable Science
3
Manfred Morari
ETH Zurich
4
Robert Tibshirani
Stanford University
5
Lennart Ljung
Linköping University
6
Yi Lin
Tongji University
7
Tongwen Chen
Northwestern Polytechnical University
8
Frank Allgöwer
University of Stuttgart
9
Terence Tao
University of California, Los Angeles
10
John C. Doyle
Rotunda Hospital

Current Senior Leaders Papers

1
Regression Shrinkage and Selection Via the Lasso
Journal of the Royal Statistical Society Series B (Statistical Methodology)|1996
51.8k cit.
2
Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm
Journal of the Royal Statistical Society Series B (Statistical Methodology)|1977
49.7k cit.
3
The central role of the propensity score in observational studies for causal effects
Biometrika|1983
31k cit.
4
Statistical Analysis With Missing Data
Journal of the American Statistical Association|1989
17.5k cit.
5
Regularization Paths for Generalized Linear Models via Coordinate Descent
Journal of Statistical Software|2010
17.1k cit.
6
Inference from Iterative Simulation Using Multiple Sequences
Statistical Science|1992
16.7k cit.
7
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
IEEE Transactions on Information Theory|2006
15.8k cit.
8
Statistical significance for genomewide studies
Proceedings of the National Academy of Sciences|2003
10.1k cit.
9
Inference and missing data
Biometrika|1976
9.7k cit.
10
Least angle regression
The Annals of Statistics|2004
9.5k cit.

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