H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 40 Citations 6,338 99 World Ranking 1876 National Ranking 61

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Computer network

His primary areas of investigation include Control theory, Stochastic process, Probabilistic logic, Nonlinear system and Filtering problem. His work in the fields of Control theory, such as Linear matrix inequality, intersects with other areas such as Bernoulli's principle. His Stochastic process research spans across into subjects like Probability distribution, Robust control and Fading.

While the research belongs to areas of Robust control, he spends his time largely on the problem of Fuzzy control system, intersecting his research to questions surrounding Fuzzy set and Discrete time and continuous time. Filtering problem is a primary field of his research addressed under Filter design. In his work, Topology, Algorithm and Network packet is strongly intertwined with Lossy compression, which is a subfield of Quantization.

His most cited work include:

  • Distributed H ∞ Filtering for a Class of Markovian Jump Nonlinear Time-Delay Systems Over Lossy Sensor Networks (333 citations)
  • Robust $H_{\infty}$ Filtering for a Class of Nonlinear Networked Systems With Multiple Stochastic Communication Delays and Packet Dropouts (242 citations)
  • Robust ${{\cal H}}_{\infty}$ Filtering for Markovian Jump Systems With Randomly Occurring Nonlinearities and Sensor Saturation: The Finite-Horizon Case (224 citations)

What are the main themes of his work throughout his whole career to date?

Hongli Dong mostly deals with Control theory, Stochastic process, Nonlinear system, Wireless sensor network and Algorithm. In the field of Control theory, his study on Discrete time and continuous time overlaps with subjects such as Convex optimization. Hongli Dong integrates several fields in his works, including Stochastic process, Applied mathematics, Bernoulli distribution, Fading, Mathematical optimization and Bernoulli's principle.

The various areas that Hongli Dong examines in his Nonlinear system study include Control system, Linear matrix inequality, Parameterized complexity, Control theory and Robustness. His studies deal with areas such as Quantization and Network packet as well as Wireless sensor network. Hongli Dong combines subjects such as Upper and lower bounds, Outlier and Complex network with his study of Algorithm.

He most often published in these fields:

  • Control theory (65.97%)
  • Stochastic process (34.03%)
  • Nonlinear system (29.86%)

What were the highlights of his more recent work (between 2019-2021)?

  • Control theory (65.97%)
  • Algorithm (16.67%)
  • Stochastic process (34.03%)

In recent papers he was focusing on the following fields of study:

Hongli Dong mainly focuses on Control theory, Algorithm, Stochastic process, Nonlinear system and Outlier. His research in Control theory tackles topics such as Artificial neural network which are related to areas like Discrete time and continuous time. His Algorithm study combines topics in areas such as Filtering problem and Hausdorff distance.

His studies in Filtering problem integrate themes in fields like Protocol and Data transmission. His Nonlinear system study incorporates themes from Control system and Uniform boundedness. The concepts of his Outlier study are interwoven with issues in Function, Bounded function, State and Subject.

Between 2019 and 2021, his most popular works were:

  • Delay-Distribution-Dependent $H_\infty$ State Estimation for Discrete-Time Memristive Neural Networks With Mixed Time-Delays and Fading Measurements (30 citations)
  • Robust Partial-Nodes-Based State Estimation for Complex Networks Under Deception Attacks (21 citations)
  • Finite-Horizon Distributed State Estimation Under Randomly Switching Topologies and Redundant Channels (14 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Control theory
  • Computer network

Hongli Dong mainly investigates Stochastic process, Control theory, Artificial neural network, State and Convex optimization. His Stochastic process research spans across into areas like Network topology, Constraint, Complex network, Topology and Nonlinear system. His Control theory investigation overlaps with Periodic system and Moving horizon estimation.

He focuses mostly in the field of State, narrowing it down to topics relating to Class and, in certain cases, Filtering problem. Convex optimization and Exponential stability are two areas of study in which Hongli Dong engages in interdisciplinary work. His Exponential stability study combines topics from a wide range of disciplines, such as Function, Recurrent neural network, Fuzzy control system and Outlier.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Robust $H_{\infty }$ Fuzzy Output-Feedback Control With Multiple Probabilistic Delays and Multiple Missing Measurements

Hongli Dong;Zidong Wang;Daniel W C Ho;Huijun Gao.
IEEE Transactions on Fuzzy Systems (2010)

528 Citations

Distributed H ∞ Filtering for a Class of Markovian Jump Nonlinear Time-Delay Systems Over Lossy Sensor Networks

Hongli Dong;Zidong Wang;Huijun Gao.
IEEE Transactions on Industrial Electronics (2013)

356 Citations

Robust $H_{\infty}$ Filtering for a Class of Nonlinear Networked Systems With Multiple Stochastic Communication Delays and Packet Dropouts

Hongli Dong;Zidong Wang;Huijun Gao.
IEEE Transactions on Signal Processing (2010)

348 Citations

Robust ${{\cal H}}_{\infty}$ Filtering for Markovian Jump Systems With Randomly Occurring Nonlinearities and Sensor Saturation: The Finite-Horizon Case

Hongli Dong;Zidong Wang;D W C Ho;Huijun Gao.
IEEE Transactions on Signal Processing (2011)

331 Citations

Fuzzy-Model-Based Robust Fault Detection With Stochastic Mixed Time Delays and Successive Packet Dropouts

Hongli Dong;Zidong Wang;J. Lam;Huijun Gao.
systems man and cybernetics (2012)

252 Citations

Distributed Filtering for a Class of Time-Varying Systems Over Sensor Networks With Quantization Errors and Successive Packet Dropouts

Hongli Dong;Zidong Wang;Huijun Gao.
IEEE Transactions on Signal Processing (2012)

224 Citations

Fault Detection for Markovian Jump Systems With Sensor Saturations and Randomly Varying Nonlinearities

Hongli Dong;Zidong Wang;Huijun Gao.
IEEE Transactions on Circuits and Systems (2012)

220 Citations

Finite-Horizon $H_{\infty} $ Filtering With Missing Measurements and Quantization Effects

Zidong Wang;Hongli Dong;Bo Shen;Huijun Gao.
IEEE Transactions on Automatic Control (2013)

209 Citations

Fuzzy-Logic-Based Control, Filtering, and Fault Detection for Networked Systems: A Survey

Yuqiang Luo;Zidong Wang;Guoliang Wei;Bo Shen.
Mathematical Problems in Engineering (2015)

203 Citations

Envelope-constrained H ∞ filtering with fading measurements and randomly occurring nonlinearities

Derui Ding;Zidong Wang;Bo Shen;Hongli Dong.
Automatica (2015)

200 Citations

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