Lin Li

Lin Li

University of Illinois at Chicago

H-index: 40

North America-United States

About Lin Li

Lin Li, With an exceptional h-index of 40 and a recent h-index of 29 (since 2020), a distinguished researcher at University of Illinois at Chicago, specializes in the field of Sustainable Manufacturing Systems, Energy Efficiency and Demand Response, Additive Manufacturing, Biofuel Manufacturing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Characterization of Anisotropic Shape Memory Behavior of Thermoresponsive Components in 4D Printing

Comparison of Reinforcement Learning Methods for Production Control in Discrete Manufacturing Systems

A New Evaluation Metric for Demand Response-Driven Real-Time Price Prediction Towards Sustainable Manufacturing

Deep reinforcement learning-based approach for dynamic disassembly scheduling of end-of-life products with stimuli-activated self-disassembly

Cost-Effective Industrial Internet of Things Network Planning for Sustainable Manufacturing Systems

Explainable multi-agent deep reinforcement learning for real-time demand response towards sustainable manufacturing

Material recognition for fault diagnosis in machine tools using improved Mel Frequency Cepstral Coefficients

Energy Consumption and Carbon Emissions of Additive Manufacturing Using Smart Materials: A Supply Chain Perspective

Lin Li Information

University

Position

Professor of Mechanical and Industrial Engineering

Citations(all)

4633

Citations(since 2020)

2664

Cited By

3020

hIndex(all)

40

hIndex(since 2020)

29

i10Index(all)

90

i10Index(since 2020)

78

Email

University Profile Page

Google Scholar

Lin Li Skills & Research Interests

Sustainable Manufacturing Systems

Energy Efficiency and Demand Response

Additive Manufacturing

Biofuel Manufacturing

Top articles of Lin Li

Title

Journal

Author(s)

Publication Date

Characterization of Anisotropic Shape Memory Behavior of Thermoresponsive Components in 4D Printing

3D Printing and Additive Manufacturing

Jing Zhao

Muyue Han

Lin Li

2024/2/13

Comparison of Reinforcement Learning Methods for Production Control in Discrete Manufacturing Systems

Lingxiang Yun

Jingwen Wang

Minkun Xiao

Lin Li

2023/6/12

A New Evaluation Metric for Demand Response-Driven Real-Time Price Prediction Towards Sustainable Manufacturing

Journal of Manufacturing Science and Engineering

Lingxiang Yun

Lin Li

2023/2/1

Deep reinforcement learning-based approach for dynamic disassembly scheduling of end-of-life products with stimuli-activated self-disassembly

Xinghua Liu

Bangji Fan

Jiaqiang Tian

2022/7/25

Cost-Effective Industrial Internet of Things Network Planning for Sustainable Manufacturing Systems

Available at SSRN 4474933

Lingxiang Yun

Lin Li

Jiapei Zhang

Jingze Guan

2023

Explainable multi-agent deep reinforcement learning for real-time demand response towards sustainable manufacturing

Applied Energy

Lingxiang Yun

Di Wang

Lin Li

2023/10/1

Material recognition for fault diagnosis in machine tools using improved Mel Frequency Cepstral Coefficients

Journal of Manufacturing Processes

Jianjian Yuan

Lin Li

Hua Shao

Muyue Han

Hongcheng Huang

2023/7/28

Energy Consumption and Carbon Emissions of Additive Manufacturing Using Smart Materials: A Supply Chain Perspective

Muyue Han

Jing Zhao

Lin Li

2023/6/12

CPS-enabled and knowledge-aided demand response strategy for sustainable manufacturing

Advanced Engineering Informatics

Lingxiang Yun

Shuaiyin Ma

Lin Li

Yang Liu

2022/4/1

Volatile organic compound emissions from 4D printing: Effects of material composition and external stimulus

Additive Manufacturing

Muyue Han

Lin Li

Jing Zhao

2022/8/1

Assessing the Impacts of Real-Time Price Prediction Quality on Demand Response Management for Sustainable Smart Manufacturing

Lingxiang Yun

Lin Li

2022/6/27

Demand response for manufacturing systems considering the implications of fast-charging battery powered material handling equipment

Applied Energy

Lingxiang Yun

Lin Li

Shuaiyin Ma

2022/3/15

Shape Memory Properties of 4D Printed Parts Under Cyclic Loading: Effects of Infill Characteristics and Stimulus Conditions

Muyue Han

Jing Zhao

Lin Li

Miao Tan

2022/6/27

Sustainable Manufacturing Systems: An Energy Perspective

Lin Li

MengChu Zhou

2022/11/3

Effects of Stimulus Conditions on Shape Memory Cycle Durability of 4D Printed Parts in Stereolithography Additive Manufacturing

Jing Zhao

Muyue Han

Lin Li

Miao Tan

2022/6/27

Techno-economic modeling of 4D printing with thermo-responsive materials towards desired shape memory performance

IISE Transactions

Muyue Han

Yiran Yang

Lin Li

2022/11/2

Process monitoring in ultrasonic metal welding of lithium batteries by power signals

Journal of Manufacturing Science and Engineering

Xinhua Shi

Lin Li

Suiran Yu

Lingxiang Yun

2022/5/1

Vehicle-to-manufacturing (V2M) system: A novel approach to improve energy demand flexibility for demand response towards sustainable manufacturing

Applied Energy

Lingxiang Yun

Minkun Xiao

Lin Li

2022/10/1

Emissions of Volatile Organic Compounds From 4D Printing and Associated Control Strategies Towards Workplace Safety

Muyue Han

Jing Zhao

Lin Li

2021/6/21

Modeling and characterization of shape memory properties and decays for 4D printed parts using stereolithography

Materials & Design

Jing Zhao

Muyue Han

Lin Li

2021/5/1

See List of Professors in Lin Li University(University of Illinois at Chicago)

Co-Authors

academic-engine