Author

Liangyong Wang

Institutions: Beijing Institute of Petrochemical Technology, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University

Observed institutions: Northeastern University, Beijing Institute of Petrochemical Technology, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University

ORCID: 0000-0001-7811-5228

Observed ORCID: 0000-0001-7811-5228

OpenAlex ID: A5069856652

Predictive control of particlesize distribution of crystallization process using deep learning based image analysis

2022 · Liangyong Wang, Yaolong Zhu, et al. · AIChE Journal · 18

Feedback Control of Crystal Size Distribution for Cooling Batch Crystallization Using Deep Learning-Based Image Analysis

2022 · Chenyang Gan, Liangyong Wang, et al. · Crystals · 18

Nonlinear model predictive control of crystal size in batch cooling crystallization processes

2023 · Liangyong Wang, Yaolong Zhu, et al. · Journal of Process Control · 15

Design and implementation of a novel fuzzy controller with dsp for rotary inverted pendulum

2009 · Zheng Fang, Naixu Song, et al. · Chinese Control and Decision Conference (CCDC) · 12

Neural-Network-Based Nonlinear Model Predictive Control of Multiscale Crystallization Process

2022 · Liangyong Wang, Yaolong Zhu · Processes · 10

Temporal Convolutional Network-Based Spatiotemporal Modeling Method for Distributed Parameter Systems

2025 · Liangyong Wang, Peng Fu · IEEE Transactions on Systems Man and Cybernetics Systems · 2

An Engineer-Oriented Teaching Practice of Industrial Process Control Systems

2025 · Shaowen Lu, Liangyong Wang, et al. · IEEE Global Engineering Education Conference (EDUCON) · 1

Neutral network compensator based cascade control for ball and beam system

2010 · Jun Hou, Liangyong Wang, et al. · World Congress on Intelligent Control and Automation · 1

Deep-learning-based in situ characterization of pulp-phase bubble size distribution in industrial-scale flotation cells

2026 · Liangyong Wang, Junxiang Ning, et al. · Powder Technology

Bayesian convolutional neural network-based segmentation model and uncertainty quantification for particle detection in flotation process

2026 · Peng Fu, Liangyong Wang, et al. · Measurement

CESFE-YOLO: A Context-Enriched and Shallow Feature Enhancement-Based Method for Flotation Slurry Particle Detection

2026 · Liangyong Wang, Peng Fu, et al. · IEEE Transactions on Instrumentation and Measurement

A Lightweight Mechanism-Guided Neural Network Modeling Method for Batch Cooling Crystallization

2026 · Qingrong Fu, Liangyong Wang · SSRN Electronic Journal

Works count: 12

Citation count: 77

H-index: 5

I10-index: 5