World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
14642
World Ranking
3795
National Ranking
505

Overview

Sifeng Liu is affiliated with Nanjing University of Aeronautics and Astronautics in China. Their research spans multiple fields including Decision Sciences, Engineering, and Computer Science, with a significant number of publications also focused on specialized subfields such as Management Science and Operations Research, Artificial Intelligence, Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering, and Control and Systems Engineering.

Their work notably addresses several core topics including Grey System Theory Applications, Multi-Criteria Decision Making, Reliability and Maintenance Optimization, Rough Sets and Fuzzy Logic, Energy Load and Power Forecasting, Statistical Distribution Estimation and Applications, and Risk and Safety Analysis.

Recent papers authored or co-authored by Sifeng Liu include the following:

  • Forecast of biofuel production and consumption in top CO2 emitting countries using a novel grey model, 2020, Journal of Cleaner Production
  • A limited cost consensus approach with fairness concern and its application, 2021, European Journal of Operational Research
  • Research on aging mechanism and state of health prediction in lithium batteries, 2023, Journal of Energy Storage
  • A novel grey multi-criteria three-way decisions model and its application, 2021, Computers & Industrial Engineering
  • DISTINGUISHING COEFFICIENT DRIVEN SENSITIVITY ANALYSIS OF GRA MODEL FOR INTELLIGENT DECISIONS: APPLICATION IN PROJECT MANAGEMENT, 2020, Technological and Economic Development of Economy

Sifeng Liu frequently collaborates with several co-authors, including Yingjie Yang, Zhigeng Fang, Wenjie Dong, Jeffrey Yi-Lin Forrest, and Junliang Du. Collaboration counts with these researchers indicate ongoing partnerships that span multiple projects and topics.

Main publication venues where Sifeng Liu has contributed include:

  • Grey Systems Theory and Application
  • arXiv (Cornell University)
  • Computers & Industrial Engineering
  • Reliability Engineering & System Safety
  • SSRN Electronic Journal

In addition to journal publications, Sifeng Liu has contributed to book publications under the Series on grey system, with titles such as Grey Systems Analysis (2022) and Emerging Studies and Applications of Grey Systems (2023).

Best Publications

  • Grey Systems: Theory and Applications

    Sifeng Liu;Yi Lin

  • A brief introduction to grey systems theory

    Sifeng Liu;Jeffrey Forrest;Yingjie Yang

  • Grey system model with the fractional order accumulation

    Lifeng Wu;Sifeng Liu;Ligen Yao;Shuli Yan

  • Discrete grey forecasting model and its optimization

    Nai-ming Xie;Si-feng Liu

  • Grey Data Analysis

    Sifeng Liu;Yingjie Yang;Jeffrey Forrest

  • An Introduction to Grey Systems : Foundations, Methodology, and Applications

    Sifeng Liu;Yi Lin

  • Theory of grey systems: capturing uncertainties of grey information

    Yi Lin;Mian‐yun Chen;Sifeng Liu

  • A novel grey forecasting model and its optimization

    Jie Cui;Si-feng Liu;Bo Zeng;Nai-ming Xie

  • Advances in grey systems research

    Sifeng Liu;Jeffrey Yi-Lin Forrest

  • Grey Control Systems

    Sifeng Liu;Sifeng Liu;Yi Lin

  • New progress of Grey System Theory in the new millennium

    Sifeng Liu;Yingjie Yang;Naiming Xie;Jeffrey Forrest

  • On novel grey forecasting model based on non-homogeneous index sequence

    Nai-Ming Xie;Si-Feng Liu;Ying-Jie Yang;Chao-Qing Yuan

  • An approach to increase prediction precision of GM(1,1) model based on optimization of the initial condition

    Yuhong Wang;Yaoguo Dang;Yueqing Li;Sifeng Liu

  • Introduction to Grey Systems Theory

    Sifeng Liu;Yi Lin

  • Novel models of grey relational analysis based on visual angle of similarity and nearness

    Si‐feng Liu;Nai‐ming Xie;Jeffrey Forrest

  • The Current Developing Status on Grey System Theory

    Sifeng Liu;Jeffrey Forrest

  • The effect of sample size on the grey system model

    Lifeng Wu;Sifeng Liu;Ligen Yao;Shuli Yan

  • Non-homogenous discrete grey model with fractional-order accumulation

    Li-Feng Wu;Si-Feng Liu;Wei Cui;Ding-Lin Liu

  • General grey numbers and their operations

    Sifeng Liu;Zhigeng Fang;Yingjie Yang;Jeffrey Forrest

  • A historical introduction to grey systems theory

    Yi Lin;Sifeng Liu

Frequent Co-Authors

Ye Chen
Ye Chen Nanjing University of Aeronautics and Astronautics
Jian Chen
Jian Chen The Ohio State University
Robert John
Robert John University of Nottingham
Chuan Li
Chuan Li Chongqing Technology and Business University
Hanlin Liao
Hanlin Liao Centre national de la recherche scientifique, CNRS
Yu Liu
Yu Liu University of Electronic Science and Technology of China
Guo Chen
Guo Chen University of New South Wales

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a Computer Science degree in the USA opens doors to numerous related fields and online learning opportunities. Many students benefit from examining adjacent online programs that equip them with in-demand skills for today’s job market.

For those interested in engineering, pursuing an online degree for mechanical engineering can be a smart alternative or supplement to Computer Science. Similarly, a bachelor of science in physics online provides a solid foundation in scientific principles and analytical thinking—valuable assets in technology sectors.

If your interests lean toward data, programs like the cheapest data science masters in usa offer specialized training in analytics and machine learning, both key to modern Computer Science careers. Additionally, online electrical engineering courses USA can expand your expertise in hardware, systems, and digital design—fields closely related to computing.

By considering these related online degrees, you can build a flexible, interdisciplinary pathway tailored to the diverse career opportunities in technology and engineering.

Best Scientists Citing Sifeng Liu

Trending Scientists