Leaderboards/Target Tracking and Data Fusion in Sensor Networks

Target Tracking and Data Fusion in Sensor Networks

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Guy Revach
Technion – Israel Institute of Technology
2
Leihui Xiong
State Grid Corporation of China (China)
3
Wenda Zhao
University of Toronto
4
Nabil Shaukat
University of Leeds
5
Kavindu Ranasinghe
Market Intelligence Strategy Centre (Australia)
6
Xuxiang Fan
University of Electronic Science and Technology of China
7
Lujuan Dang
Xi'an Jiaotong University
8
Baojian Yang
PLA Army Engineering University
9
Linlin Shi
Changchun University of Science and Technology
10
Fengchi Zhu
Harbin Engineering University

Rising Stars Papers

1
Sentiment Analysis of Product Reviews Using Machine Learning and Pre-Trained LLM
Big Data and Cognitive Computing|2024
52 cit.
2
UTIL: An ultra-wideband time-difference-of-arrival indoor localization dataset
The International Journal of Robotics Research|2024
35 cit.
3
Interacting multiple model adaptive robust Kalman filter for process and measurement modeling errors simultaneously
Signal Processing|2024
12 cit.
4
Adaptive Kalman Filters With Small-Magnitude and Inaccurate Process Noise Covariance Matrix Part II: Application to Inertial-Based Integrated Navigation
IEEE Transactions on Aerospace and Electronic Systems|2025
11 cit.
5
HPS-RRT*: An Improved Path Planning Algorithm for a Nonholonomic Orchard Robot in Unstructured Environments
Agronomy|2025
10 cit.
6
An autonomous obstacle avoidance and path planning method for fruit-picking UAV in orchard environments
Smart Agricultural Technology|2025
9 cit.
7
Adaptive Kalman Filters With Small-Magnitude and Inaccurate Process Noise Covariance Matrix—Part I: Theoretical Results
IEEE Transactions on Aerospace and Electronic Systems|2025
8 cit.
8
HKF: Hierarchical Kalman Filtering With Online Learned Evolution Priors for Adaptive ECG Denoising
IEEE Transactions on Signal Processing|2024
7 cit.
9
Maximum Correntropy Generalized Conversion-Based Nonlinear Filtering
IEEE Sensors Journal|2024
7 cit.
10
Loop Closure Detection with CNN in RGB-D SLAM for Intelligent Agricultural Equipment
Agriculture|2024
6 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Aapo Nummenmaa
Harvard University
2
Kui Fu
Hubei University of Medicine
3
Xinhe Zhu
RMIT University
4
Ahmed A. Youssef
University of Wasit
5
Asghar A. Razzaqi
Harbin Engineering University
6
S. Yoshida
Tokyo University of Information Sciences
7
Jinwu Tong
Jiangsu Industry Technology Research Institute
8
Richard Linares
American Institute of Aeronautics and Astronautics
9
Honglei Lin
Heilongjiang University
10
Guanya Shi
Carnegie Mellon University

Emerging Leaders Papers

1
A Novel Adaptive Filtering for Cooperative Localization Under Compass Failure and Non-Gaussian Noise
IEEE Transactions on Vehicular Technology|2022
116 cit.
2
Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
Unknown Journal|2024
68 cit.
3
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion
Unknown Journal|2024
55 cit.
4
Cubature Kalman filter with closed-loop covariance feedback control for integrated INS/GNSS navigation
Chinese Journal of Aeronautics|2022
50 cit.
5
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
Unknown Journal|2025
30 cit.
6
Light-Weight Convolutional Neural Networks for Generative Robotic Grasping
IEEE Transactions on Industrial Informatics|2024
29 cit.
7
Dynamics Near the Three-Body Libration Points via Koopman Operator Theory
Journal of Guidance Control and Dynamics|2022
24 cit.
8
Optimal topology design of multi-target AUVs for 3D cooperative localization formation based on angle of arrival measurement
Ocean Engineering|2023
18 cit.
9
Iterative Kalman filter for biological tissue identification
International Journal of Robust and Nonlinear Control|2023
18 cit.
10
Koopman-Operator Control Optimization for Relative Motion in Space
Journal of Guidance Control and Dynamics|2023
18 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Hugh Durrant‐Whyte
Spectrum Research (United States)
2
Jeffrey Uhlmann
University of Missouri
3
Yaakov Bar‐Shalom
University of Connecticut
4
Pramod K. Varshney
Syracuse University
5
A. F. M. Smith
Imperial College London
6
Sebastian Thrun
Stanford University
7
Ba‐Ngu Vo
Curtin University
8
Petar M. Djurić
Stony Brook University
9
Arnaud Doucet
University of Cambridge
10
Vesselin P. Jilkov
University of New Orleans

Current Senior Leaders Papers

1
Dermatologist-level classification of skin cancer with deep neural networks
Nature|2017
13.8k cit.
2
Probabilistic robotics
Communications of the ACM|2002
8k cit.
3
Novel approach to nonlinear/non-Gaussian Bayesian state estimation
IEE Proceedings F Radar and Signal Processing|1993
7.6k cit.
4
Sampling-Based Approaches to Calculating Marginal Densities
Journal of the American Statistical Association|1990
6.7k cit.
5
Unscented Filtering and Nonlinear Estimation
Proceedings of the IEEE|2004
6.5k cit.
6
New extension of the Kalman filter to nonlinear systems
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE|1997
5.3k cit.
7
On sequential Monte Carlo sampling methods for Bayesian filtering
Statistics and Computing|2000
4.4k cit.
8
Simultaneous localization and mapping: part I
IEEE Robotics & Automation Magazine|2006
4.1k cit.
9
A new method for the nonlinear transformation of means and covariances in filters and estimators
IEEE Transactions on Automatic Control|2000
3.7k cit.
10
The dynamic window approach to collision avoidance
IEEE Robotics & Automation Magazine|1997
3.6k cit.

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