D-Index & Metrics Best Publications
Electronics and Electrical Engineering
China
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 78 Citations 19,691 214 World Ranking 315 National Ranking 38

Research.com Recognitions

Awards & Achievements

2023 - Research.com Electronics and Electrical Engineering in China Leader Award

Overview

What is he best known for?

The fields of study Hongyi Li is best known for:

  • Gene
  • DNA
  • Enzyme

Hongyi Li undertakes multidisciplinary studies into Artificial intelligence and Algorithm in his work. He connects Algorithm with Artificial intelligence in his research. His research brings together the fields of Control theory (sociology) and Control (management). In his papers, Hongyi Li integrates diverse fields, such as Quantum mechanics and Observer (physics). His work blends Observer (physics) and Quantum mechanics studies together. Hongyi Li conducts interdisciplinary study in the fields of Nonlinear system and Lyapunov function through his works. Hongyi Li undertakes multidisciplinary investigations into Lyapunov function and Nonlinear system in his work. His work often combines Fuzzy logic and Fuzzy control system studies. Hongyi Li combines Fuzzy control system and Fuzzy logic in his research.

His most cited work include:

  • Explaining International and Intertemporal Variations in Income Inequality (827 citations)
  • Applications of genome editing technology in the targeted therapy of human diseases: mechanisms, advances and prospects (730 citations)
  • Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific Objectives and Experimental Design (649 citations)

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

Hongyi Li combines Artificial intelligence and Fuzzy logic in his studies. His multidisciplinary approach integrates Fuzzy logic and Artificial intelligence in his work. Control (management) and Control theory (sociology) are frequently intertwined in his study. Control theory (sociology) is frequently linked to Control (management) in his study. His Quantum mechanics study frequently draws parallels with other fields, such as Nonlinear system. His Nonlinear system study frequently draws connections between related disciplines such as Quantum mechanics.

Hongyi Li most often published in these fields:

  • Artificial intelligence (33.59%)
  • Control (management) (26.06%)
  • Control theory (sociology) (25.75%)

What were the highlights of his more recent work (between 2020-2022)?

  • Artificial intelligence (39.76%)
  • Quantum mechanics (39.76%)
  • Control (management) (34.94%)

In recent works Hongyi Li was focusing on the following fields of study:

Hongyi Li performs integrative study on Artificial intelligence and Fuzzy logic in his works. In his articles, he combines various disciplines, including Fuzzy logic and Artificial intelligence. While working in this field, Hongyi Li studies both Quantum mechanics and Observer (physics). Hongyi Li conducts interdisciplinary study in the fields of Observer (physics) and Quantum mechanics through his research. His study ties his expertise on Control theory (sociology) together with the subject of Control (management). His research on Control theory (sociology) frequently links to adjacent areas such as Control (management). His Nonlinear system study frequently links to other fields, such as Adaptive control. He integrates several fields in his works, including Adaptive control and Backstepping. He undertakes multidisciplinary investigations into Backstepping and Lyapunov function in his work.

Between 2020 and 2022, his most popular works were:

  • Adaptive Fault-Tolerant Tracking Control for Discrete-Time Multiagent Systems via Reinforcement Learning Algorithm (214 citations)
  • Finite-Time Consensus Tracking Neural Network FTC of Multi-Agent Systems (116 citations)
  • Adaptive Fuzzy Full-State and Output-Feedback Control for Uncertain Robots With Output Constraint (94 citations)

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

  • Drainage basin
  • Chondrogenesis
  • Cartilage

Many of his research projects under Mesenchymal stem cell are closely connected to Cancer research with Cancer research, tying the diverse disciplines of science together. Cell biology is closely attributed to Mesenchymal stem cell in his research. His Quantum mechanics study spans across into areas like Observer (physics) and Event (particle physics). He integrates several fields in his works, including Event (particle physics) and Quantum mechanics. His Artificial intelligence study typically links adjacent topics like Actuator. Actuator is frequently linked to Artificial intelligence in his study. His study brings together the fields of Control theory (sociology) and Control (management). His research combines Control (management) and Control theory (sociology). His Nonlinear system study frequently links to other fields, such as Tracking error.

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

Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T–S Fuzzy Approach

Hongyi Li;Jinyong Yu;C. Hilton;Honghai Liu.
IEEE Transactions on Industrial Electronics (2013)

715 Citations

Output-Feedback-Based $H_{\infty}$ Control for Vehicle Suspension Systems With Control Delay

Hongyi Li;Xingjian Jing;Hamid Reza Karimi.
IEEE Transactions on Industrial Electronics (2014)

591 Citations

Reliable Fuzzy Control for Active Suspension Systems With Actuator Delay and Fault

Hongyi Li;Honghai Liu;Huijun Gao;Peng Shi.
IEEE Transactions on Fuzzy Systems (2012)

566 Citations

Fault-tolerant control of Markovian jump stochastic systems via the augmented sliding mode observer approach

Hongyi Li;Huijun Gao;Huijun Gao;Peng Shi;Peng Shi;Xudong Zhao.
Automatica (2014)

535 Citations

Observer-based adaptive sliding mode control for nonlinear Markovian jump systems

Hongyi Li;Peng Shi;Deyin Yao;Ligang Wu.
Automatica (2016)

485 Citations

Event-triggered sliding mode control of stochastic systems via output feedback ☆

Ligang Wu;Yabin Gao;Jianxing Liu;Hongyi Li.
Automatica (2017)

418 Citations

Adaptive Sliding-Mode Control of Markov Jump Nonlinear Systems With Actuator Faults

Hongyi Li;Peng Shi;Deyin Yao.
IEEE Transactions on Automatic Control (2017)

410 Citations

Control of Nonlinear Networked Systems With Packet Dropouts: Interval Type-2 Fuzzy Model-Based Approach

Hongyi Li;Chengwei Wu;Peng Shi;Yabin Gao.
IEEE Transactions on Systems, Man, and Cybernetics (2015)

407 Citations

Observer-Based Adaptive Neural Network Control for Nonlinear Stochastic Systems With Time Delay

Qi Zhou;Peng Shi;Shengyuan Xu;Hongyi Li.
IEEE Transactions on Neural Networks (2013)

402 Citations

Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone

Hongyi Li;Hongyi Li;Shiyi Zhao;Wei He;Renquan Lu.
Automatica (2019)

395 Citations

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