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 sustainable smart manufacturing, product service innovation, decision support system, competitive advantage, control systems, autonomous robots, signal processing, and pattern recognition.

Prof. Liu has authored or co-authored over 120 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 Co-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 80 Web of Science journals with the Top Reviewer reward for Decision Sciences and an expert evaluator for international grants.

Brief facts

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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

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
Shuaiyin Ma, Wei Ding, Yang Liu, Yingfeng Zhang, Shan Ren, Xianguang Kong, Jiewu Leng (2024) Industry 4.0 and cleaner production: A comprehensive review of sustainable and intelligent manufacturing for energy-intensive manufacturing industries Journal of Cleaner Production, Vol. 467, Article 142879 (Article, review/survey) Continue to DOI
Chuang Wang, Haishen Zhao, Yang Liu, Guojin Fan (2024) Minute-level ultra-short-term power load forecasting based on time series data features Applied Energy, Vol. 372, Article 123801 (Article in journal) Continue to DOI
Xiaoxuan Kao, Yang Liu, Wensheng Wang, Qianyun Wen, Pan Zhang (2024) The pressure of coal consumption on China's carbon dioxide emissions: A spatial and temporal perspective Atmospheric Pollution Research, Vol. 15, Article 102188 (Article in journal) Continue to DOI

Research

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

News

The ongoing project - FlexSUS

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.

Autumn at the Campus Valla and bikes.

Research at IEI holds a high standard

Stanford University has recently released an updated list of the top two percent most cited researchers globally, and it is gratifying to note that once again, several distinguished researchers from IEI are represented on the list.

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IEI researchers among the world´s most cited

Stanford University has recently published an update of the list of the two percent most cited scientists in the world. And again several researchers at IEI are on the list.

Organisation