World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6885
World Ranking
9722
National Ranking
1221

Overview

Lin Wang is affiliated with Huazhong University of Science and Technology in China and has contributed extensively to the field of Engineering through 115 publications. Their research spans multiple subfields, primarily Electrical and Electronic Engineering, Management Science and Operations Research, Artificial Intelligence, Economics and Econometrics, and Sociology and Political Science.

The scientist's main research topics include:

  • Energy Load and Power Forecasting
  • Stock Market Forecasting Methods
  • Market Dynamics and Volatility
  • Electric Power System Optimization
  • Supply Chain and Inventory Management
  • Solar Radiation and Photovoltaics
  • Digital Marketing and Social Media

Lin Wang has collaborated frequently with several coauthors over their career. The most frequent coauthors include:

  • Binrong Wu
  • Lu Peng
  • Yu-Rong Zeng
  • Sirui Wang
  • Sheng-Xiang Lv

The scientist publishes regularly in notable venues, reflecting their interdisciplinary approach. Frequent publication venues include:

  • Energy
  • Journal of Forecasting
  • Applied Intelligence
  • SSRN Electronic Journal
  • Renewable Energy

Selected recent papers authored by Lin Wang demonstrate a focus on forecasting methodologies and energy systems:

  • Effective energy consumption forecasting using empirical wavelet transform and long short-term memory, 2021, Energy
  • Wind speed forecasting based on variational mode decomposition and improved echo state network, 2020, Renewable Energy
  • Interpretable wind speed prediction with multivariate time series and temporal fusion transformers, 2022, Energy
  • Forecasting energy consumption and wind power generation using deep echo state network, 2020, Renewable Energy
  • Forecasting the U.S. oil markets based on social media information during the COVID-19 pandemic, 2021, Energy

Best Publications

  • Disease Prediction by Machine Learning Over Big Data From Healthcare Communities

    Min Chen;Yixue Hao;Kai Hwang;Lu Wang

  • Back propagation neural network with adaptive differential evolution algorithm for time series forecasting

    Lin Wang;Yi Zeng;Tao Chen

  • Health information privacy concerns, antecedents, and information disclosure intention in online health communities

    Xing Zhang;Shan Liu;Xing Chen;Lin Wang

  • Effective long short-term memory with differential evolution algorithm for electricity price prediction

    Lu Peng;Shan Liu;Rui Liu;Lin Wang

  • Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network

    Yu-Rong Zeng;Yu-Rong Zeng;Yi Zeng;Beomjin Choi;Lin Wang

  • Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index

    Shaowen Li;Tao Chen;Lin Wang;Chenghan Ming

  • Effective energy consumption forecasting using empirical wavelet transform and long short-term memory

    Lu Peng;Lin Wang;De Xia;Qinglu Gao

  • Wind speed forecasting based on variational mode decomposition and improved echo state network

    Huanling Hu;Lin Wang;Rui Tao

  • An improved fruit fly optimization algorithm and its application to joint replenishment problems

    Lin Wang;Yuanlong Shi;Shan Liu

  • Optimal Forecast Combination Based on Neural Networks for Time Series Forecasting

    Lin Wang;Zhigang Wang;Hui Qu;Shan Liu

  • Understanding the impact of risks on performance in internal and outsourced information technology projects: The role of strategic importance

    Shan Liu;Lin Wang

  • Forecasting energy consumption and wind power generation using deep echo state network

    Huanling Hu;Lin Wang;Sheng-Xiang Lv

  • An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm

    Lin Wang;Zhigang Wang;Shan Liu

  • A hybrid VMD–BiGRU model for rubber futures time series forecasting

    Qing Zhu;Qing Zhu;Qing Zhu;Fan Zhang;Shan Liu;Yiqiong Wu

  • Effective electricity energy consumption forecasting using echo state network improved by differential evolution algorithm

    Lin Wang;Huanling Hu;Xue-Yi Ai;Hua Liu

  • Influence of managerial control on performance in medical information system projects: The moderating role of organizational environment and team risks

    Shan Liu;Lin Wang

  • Effects of process and outcome controls on business process outsourcing performance: Moderating roles of vendor and client capability risks

    Shan Liu;Lin Wang;Wayne Wei Huang

  • Effective sparse adaboost method with ESN and FOA for industrial electricity consumption forecasting in China

    Lin Wang;Sheng-Xiang Lv;Yu-Rong Zeng;Yu-Rong Zeng

  • A Hybrid Genetic-Simulated Annealing Algorithm for the Location-Inventory-Routing Problem Considering Returns under E-Supply Chain Environment

    Yanhui Li;Hao Guo;Lin Wang;Jing Fu

  • Effective crude oil price forecasting using new text-based and big-data-driven model

    Binrong Wu;Lin Wang;Sheng-Xiang Lv;Yu-Rong Zeng

  • An effective and efficient fruit fly optimization algorithm with level probability policy and its applications

    Lin Wang;Rui Liu;Shan Liu

  • Effective wind power prediction using novel deep learning network: Stacked independently recurrent autoencoder

    Lin Wang;Rui Tao;Huanling Hu;Yu-Rong Zeng

  • An effective and efficient differential evolution algorithm for the integrated stochastic joint replenishment and delivery model

    Lin Wang;Cai-Xia Dun;Wen-Jie Bi;Yu-Rong Zeng

Frequent Co-Authors

Shouyang Wang
Shouyang Wang Chinese Academy of Sciences
Yukun Bao
Yukun Bao Huazhong University of Science and Technology
Lean Yu
Lean Yu Academy of Mathematics and Systems Science

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