A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation

Congratulations! Many of JAS authors are listed as Clarivate Highly Cited Researchers!

  • Date:
  • 2020-11-19
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Clarivate released the 2020 recipients of Highly Cited Researchers, in recognition of the true pioneers in their fields over the last decade, demonstrated by the production of multiple highly-cited papers that rank in the top 1% by citations for field and year in the Web of Science™. Of the world’s scientists and social scientists, Clarivate™ Highly Cited Researchers are one in 1,000.

We are pleased to find that many of JAS authors are listed as Clarivate Highly Cited Researchers 2020. Congratulations! We would like to recommend some recent published popular papers from these influential researchers:

Evaluating Group Formation in Virtual Communities

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003237

Giancarlo Fortino, Antonio Liotta, Fabrizio Messina, Domenico Rosaci and Giuseppe M. L. Sarnè, "Evaluating Group Formation in Virtual Communities," IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1003-1015, July 2020.

Networked Control Systems: A Survey of Trends and Techniques

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911651

X.-M. Zhang, Q.-L. Han, X. H. Ge, D. Ding, L. Ding, D. Yue, and C. Peng, “Networked control systems: a survey of trends and techniques,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 1-17, Jan. 2020.

Wireless Acoustic Sensor Networks and Edge Computing for Rapid Acoustic Monitoring

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911324

Z. G. Sheng, S. Pfersich, A. Eldridge, J. S. Zhou, D. X. Tian, and Victor C. M. Leung, “Wireless acoustic sensor networks and edge computing for rapid acoustic monitoring,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 64-74, Jan. 2019.

Data-based Fault Tolerant Control for Affine Nonlinear Systems Through Particle Swarm Optimized Neural Networks

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003225

H. W. Lin, B. Zhao, D. R. Liu, and C. Alippi, “Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 954–964, Jul. 2020.

Modeling and Trajectory Tracking Control for Flapping-Wing Micro Aerial Vehicles

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003417

W. He, X. X. Mu, L. Zhang, and Y. Zou, “Modeling and trajectory tracking control for flapping-wing micro aerial vehicles,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 148–156, Jan. 2021.

ResIoT: An IoT Social Framework Resilient to Malicious Activities

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003330

G. Fortino, F. Messina, D. Rosaci, and G. M. L. Sarnè, “ResIoT: An IoT social framework resilient to malicious activities,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1263–1278, Sept. 2020.

Time-Varying Asymmetrical BLFs Based Adaptive Finite-Time Neural Control of Nonlinear Systems With Full State Constraints

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003213

L. Liu, T. T. Gao, Y.-J. Liu, and S. C. Tong, “Time-varying asymmetrical BLFs based adaptive finite-time neural control of nonlinear systems with full state constraints,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1335–1343, Sept. 2020.

Novel Stability Criteria for Linear Time-Delay Systems Using Lyapunov-Krasovskii Functionals With A Cubic Polynomial on Time-Varying Delay

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003111

X.-M. Zhang, Q.-L. Han, and X. Ge, “Novel stability criteria for linear time-delay systems using Lyapunov-Krasovskii functionals with a cubic polynomial on time-varying delay,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 77–85, Jan. 2021.

Balance Control of a Biped Robot on a Rotating Platform Based on Efficient Reinforcement Learning

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911567

A. Xi, T. W. Mudiyanselage, D. C. Tao, and C. Chen, “Balance control of a biped robot on a rotating platform based on efficient reinforcement learning,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 4, pp. 938–951, Jul. 2019.

Adaptive Fuzzy Dynamic Surface Control of Flexible-Joint Robot Systems With Input Saturation

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911330

S. Ling, H. Q. Wang, and P. X. Liu, “Adaptive fuzzy dynamic surface control of flexible-joint robot systems with input saturation,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 97-107, Jan. 2019.

Memory Analysis for Memristors and Memristive Recurrent Neural Networks

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911828

G. Bao, Y. D. Zhang, and Z. G. Zeng, “Memory analysis for memristors and memristive recurrent neural networks,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 96–105, Jan. 2020.

Progressive LiDAR Adaptation for Road Detection

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911459

Z. Chen, J. Zhang, and D. C. Tao, “Progressive LiDAR adaptation for road detection,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 3, pp. 693-702, May 2019.

Finite-time Adaptive Fault-tolerant Control for Nonlinear Systems With Multiple Faults

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911765

H. Q. Wang, W. Bai, and P. X. P. Liu, “Finite-time adaptive faulttolerant control for nonlinear systems with multiple faults,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 1417–1427, Nov. 2019.

Indoor INS/UWB-based Human Localization With Missing Data Utilizing Predictive UFIR Filtering

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911570

Y. Xu, C. K. Ahn, Y. S. Shmaliy, X. Y. Chen, and L. L. Bu, “Indoor INS/UWB-based human localization with missing data utilizing predictive UFIR filtering,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 4, pp. 952–960, Jul. 2019.

Secure Impulsive Synchronization in Lipschitz-Type Multi-Agent Systems Subject to Deception Attacks

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003297

W. L. He, Z. K. Mo, Q.-L. Han, and F. Qian, “Secure impulsive synchronization in Lipschitz-type multi-agent systems subject to deception attacks,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1326–1334, Sept. 2020.

A Local Deviation Constraint Based Non-Rigid Structure From Motion Approach

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003006

X. Chen, Z.-L. Sun, K.-M. Lam, and Z. G. Zeng, “A local deviation constraint based non-rigid structure from motion approach,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1455–1464, Sept. 2020.

Decision-Making in Driver-Automation Shared Control: A Review and Perspectives

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003294

W. S. Wang, X. X. Na, D. P. Cao, J. W. Gong, J. Q. Xi, Y. Xing, and F.-Y. Wang, “Decision-making in driver-automation shared control: A review and perspectives,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1289–1307, Sept. 2020.

Stochastic DoS Attack Allocation Against Collaborative Estimation in Sensor Networks

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003285

Y. Zhang, L. S. Du, and F. L. Lewis, “Stochastic DoS attack allocation against collaborative estimation in sensor networks,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 5, pp. 1225–1234, Sept. 2020.

Reduced-Order GPIO Based Dynamic Event-Triggered Tracking Control of a Networked One-DOF Link Manipulator Without Velocity Measurement

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911738

J. K. Sun, J. Yang, and S. H. Li, “Reduced-order GPIO based dynamic event-triggered tracking control of a networked one-DOF link manipulator without velocity measurement,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 3, pp. 725–734, May 2020.

A New Robust Adaptive Neural Network Backstepping Control for Single Machine Infinite Power System With TCSC

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911798

Y. H. Luo, S. N. Zhao, D. S. Yang, and H. G. Zhang, “A new robust adaptive neural network backstepping control for single machine infinite power system with TCSC,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 48–56, Jan. 2020.

Proximity Based Automatic Data Annotation for Autonomous Driving

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003033

C. Sun, J. M. Uwabeza Vianney, Y. Li, L. Chen, L. Li, F.-Y. Wang, A. Khajepour, and D. P. Cao, “Proximity based automatic data annotation for autonomous driving,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 2, pp. 395–404, Mar. 2020.

Asynchronous Observer Design for Switched Linear Systems: A Tube-Based Approach

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911822

M. H. Han, R. X. Zhang, L. X. Zhang, Y. Zhao, and W. Pan, “Asynchronous observer design for switched linear systems: a tube-based approach,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 70–81, Jan. 2020.

The Controllability, Observability, and Stability Analysis of a Class of Composite Systems with Fractional Degree Generalized Frequency Variables

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911501

C. H. Wang, Y. F. Zhao, and Y. Q. Chen, “The controllability, observability, and stability analysis of a class of composite systems with fractional degree generalized frequency variables,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 3, pp. 859-864, May 2019.

NeuroBiometric: An Eye Blink Based Biometric Authentication System Using an Event-Based Neuromorphic Vision Sensor

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2020.1003483

G. Chen, F. Wang, X. D. Yuan, Z. J. Li, Z. C. Liang, and A. Knoll, “NeuroBiometric: An eye blink based biometric authentication system using an event-based neuromorphic vision sensor,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 206–218, Jan. 2021.

Self-triggered Consensus Control for Linear Multi-agent Systems With Input Saturation

http://www.ieee-jas.org/en/article/doi/10.1109/JAS.2019.1911837

Y. X. Su, Q. L. Wang, and C. Y. Sun, “Self-triggered consensus control for linear multi-agent systems with input saturation,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 150–157, Jan. 2020.


IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor 2019: 5.129
    Rank:Top 17% (11/63), Category of Automation & Control Systems
    Quantile: The 1st (SCI Q1)
    CiteScore 2019 : 8.3
    Rank: Top 9% (Category of Computer Science: Information System) , Top 11% (Category of Control and Systems Engineering), Top 12% (Category of Artificial Intelligence)
    Quantile: The 1st (Q1)