yanli35

Yang Liu

Senior Associate Professor

Connecting smart technologies with sustainability

About me

Yang Liu received his M.Sc. (Tech.) degree in telecommunication engineering and D.Sc. (Tech.) degree in industrial management from the University of Vaasa, Finland, in 2005 and 2010, respectively.

He is currently a tenured Senior Associate Professor with the Department of Management and Engineering, Linköping University, Sweden and an Adjunct Professor with the Industrial Engineering and Management, University of Oulu, Finland. He has been an Adjunct/Visiting Professor at multiple other universities.

His research interests include smart manufacturing, smart energy systems, clean energy transition, decision support systems, control systems, autonomous robots, signal processing, and pattern recognition.

Prof. Liu has authored or co-authored over 140 Web of Science publications. He is ranked No.1 among the top authors on “big data analytics in manufacturing” and "Industry 4.0‑driven operations and supply chains for the circular economy", and among the top 1% of scientists in Engineering and Technology as well as Stanford-Elsevier list of the world's top 2% scientists. His publications have appeared in multiple distinguished journals, and some ranked in the top 0.1% ESI Hot Papers and the top 1% ESI Highly Cited Papers.

He serves as the Editor-in-Chief of Cleaner Engineering and Technology, Associate Editor of the prestigious Journal of Cleaner Production and Journal of Intelligent Manufacturing, and Editor or Guest Editor in several other renowned journals. He also serves as a reviewer in over 110 Web of Science journals with the Top Reviewer reward for Decision Sciences and an expert evaluator for international grants.

Brief facts

Graphic illustration.

Top 2% in the World

Since 2021, I have been in the Stanford-Elsevier list of the world's top 2% most-cited scientists.

I am ranked 68,452 (self-citations excluded) out of around 200,000 top-cited scientists for 2021.

I am ranked 81,828 (self-citations excluded) out of over 200,000 top-cited scientists for 2022.

I am ranked 39,794 (self-citations excluded) out of over 200,000 top-cited scientists for 2023.

I am also ranked in the career-long data since 2023.

August 2024 data-update for "Updated science-wide author databases of standardized citation indicators

Publications

I have co-authored several ESI top 0.1% Hot Papers and top 1% Highly Cited Papers.

2025

Ben Niu, Yi Xiao, Qinge Xiao, Yang Liu, Tao Peng, Zhile Yang (2025) A self-supervised masked spatial distribution learning method for predicting machinery remaining useful life with missing data reconstruction Advanced Engineering Informatics, Vol. 64, Article 102938 (Article in journal) Continue to DOI
Yuguang Bao, Xinguo Ming, Xianyu Zhang, Fei Tao, Jiewu Leng, Yang Liu (2025) Platform-based task assignment for social manufacturing (PBTA4SM): State-of-the-art review and future directions Journal of manufacturing systems, Vol. 78, p. 328-350 (Article, review/survey) Continue to DOI
Qianyun Wen, Yang Liu (2025) Feature engineering and selection for prosumer electricity consumption and production forecasting: A comprehensive framework Applied Energy, Vol. 381, Article 125176 (Article in journal) Continue to DOI
Fengyi Lu, Guanghui Zhou, Chao Zhang, Yang Liu, Marco Taisch (2025) Integrated optimisation of multi-pass cutting parameters and tool path with hierarchical reinforcement learning towards green manufacturing Robotics and Computer-Integrated Manufacturing, Vol. 91, Article 102824 (Article in journal) Continue to DOI

2024

Shuaiyin Ma, Zhaosong Zhu, Yang Liu, Yujuan Zheng, Jin Lu, Jun Xu (2024) Artificial intelligence-enabled predictive planning for sewage treatment based on improved DNN and LSTM Computers & industrial engineering, Vol. 198, Article 110636 (Article in journal) Continue to DOI

Research

For up to date information, please visit my Google Scholar, ORCID, ResearcherID, Scopus and ResearchGate.

News

Solar pannels, blue sky.

New research project aims to optimize positive energy districts

Linköping University is part of a new European research project aimed at improving energy efficiency in urban areas. The project will run for three years and involves partners from six countries.

Vallastaden

New research project focusing on more efficient transport systems

Imagine a city where everything you need – work, shops, healthcare, parks – is within a 15-minute walk or bike ride. That's the vision of the 15-minute city (15mC). A new research project, PERSEUS, is developing a tool to help make it a reality.

A young women sitting in the dark room with computer on.

Research shows how data-driven tools can accelerate the energy transition

A new PhD thesis from Linköping University demonstrates how data-driven tools can aid this process and help decision-makers navigate complex choices in the energy field.

Organisation