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Shanghai Institute of Process Automation Instrumentation (China) | Researchclopedia

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Shanghai Institute of Process Automation Instrumentation (China)

Shanghaicompany

208

Works

2,329

Citations

22

h-index

Top Research Topics

Fault Detection and Control Systems Stability and Control of Uncertain Systems Energy Efficient Wireless Sensor Networks

Top Researchers

Yang Liu University of Leeds

3,458 works61,717 citationsh-index: 106

Recent Research

Overview of the application of artificial intelligence technology in the high-end instrumentation industry: exploration and practice in strategic emerging fields

20260 citations

Advanced Sensor and Control Systems

Advanced Computational Techniques and Applications

Microgrid Control and Optimization

Image and Signal Denoising Methods

Blind Source Separation Techniques

Smart Grid Security and Resilience

Sensor Technology and Measurement Systems

Adaptive Control of Nonlinear Systems

Distributed Control Multi-Agent Systems

Jie Yang Xihua University

2,436 works22,928 citationsh-index: 76

Bin Yang Qingdao University

414 works14,230 citationsh-index: 64

Chen Peng China Academy of Engineering Physics

408 works14,123 citationsh-index: 59

Lei Wang South China Agricultural University

798 works10,789 citationsh-index: 51

Qingfeng Liu Hunan Normal University

439 works10,443 citationsh-index: 58

Measurement of particle parameters of condensed phase products in solid rocket motor plume under the rarefied atmospheric environment

Feng Yang,Xueting Ran,et al.

20260 citations

Hybrid AI-based energy forecasting and multi-objective optimisation for industrial decarbonisation: A UK Net Zero case study

SAMI ASTAN,Kavan Fatehi,et al.

20260 citations

Enhancing 4H-SiC Lapping Performance: Diamond and Boron Carbide Composite Abrasives Effects on Material Removal and Subsurface Damage

xiaoming sui,David Wei Zhang,et al.

20260 citations

Composite (Sr, Ca)S/Sr2SiO4 nano-precipitates formation via a temperature-programmed additive in forsterite layers on grain-oriented electrical steel

Zhipeng Tang,Sihua Meng,et al.

20260 citations

CCS-CoLearn: A cooperative learning framework for shared carbon capture and storage infrastructure — Application to Liverpool bay and the North-West UK cluster

SAMI ASTAN,Kavan Fatehi,et al.

20260 citations