World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5181
World Ranking
10851
National Ranking
1343

Overview

Songfeng Lu is affiliated with Huazhong University of Science and Technology in China and has contributed extensively to the field of computer science, particularly within artificial intelligence and related domains. Their research spans multiple subfields, including artificial intelligence, computer networks and communications, computer vision and pattern recognition, information systems, and computational theory and mathematics.

The research work of Songfeng Lu covers various contemporary and emerging topics such as quantum computing algorithms and architecture, quantum information and cryptography, IoT and edge/fog computing, metaheuristic optimization algorithms, privacy-preserving technologies in data, quantum mechanics and applications, and blockchain technology applications and security.

Songfeng Lu has a record of publication in several peer-reviewed journals and conferences, with frequent appearances in the following venues:

  • IEEE Access
  • Expert Systems with Applications
  • Applied Sciences
  • arXiv (Cornell University)
  • PLoS ONE

Recent published papers include:

  • New machine learning method for image-based diagnosis of COVID-19, 2020, PLoS ONE
  • IoT Intrusion Detection System Using Deep Learning and Enhanced Transient Search Optimization, 2021, IEEE Access
  • Machine learning in polymer informatics, 2021, InfoMat
  • Advanced metaheuristic optimization techniques in applications of deep neural networks: a review, 2021, Neural Computing and Applications
  • Advanced Feature Extraction and Selection Approach Using Deep Learning and Aquila Optimizer for IoT Intrusion Detection System, 2021, Sensors

Frequent co-authors collaborating with Songfeng Lu include:

  • Mohamed Abd Elaziz
  • Ahmed A. Ewees
  • Junjun Wu
  • Xueming Tang
  • Mohammed A. A. Al-qaness

The main scientific contributions align strongly with the broad field of computer science, with a significant focus on artificial intelligence, evidenced by the high number of publications within this subfield. Their work also addresses applications in computer networks and communications, particularly related to Internet of Things (IoT) security and optimization techniques in deep learning models.

The amalgamation of topics such as quantum computing, privacy technologies, and blockchain indicates a multidisciplinary approach with attention to both foundational theory and practical technological challenges.

Best Publications

  • New machine learning method for image-based diagnosis of COVID-19.

    Mohamed Abd Elaziz;Mohamed Abd Elaziz;Khalid M. Hosny;Ahmad Salah;Mohamed M. Darwish

  • Improved salp swarm algorithm based on particle swarm optimization for feature selection

    Rehab Ali Ibrahim;Ahmed A. Ewees;Diego Oliva;Mohamed Abd Elaziz

  • Advanced Feature Extraction and Selection Approach Using Deep Learning and Aquila Optimizer for IoT Intrusion Detection System

    Unknown

  • Chaotic opposition-based grey-wolf optimization algorithm based on differential evolution and disruption operator for global optimization

    Rehab Ali Ibrahim;Rehab Ali Ibrahim;Mohamed Abd Elaziz;Songfeng Lu

  • IoT Intrusion Detection System Using Deep Learning and Enhanced Transient Search Optimization

    Abdulaziz Fatani;Mohamed Abd Elaziz;Abdelghani Dahou;Mohammed A. A. Al-Qaness

  • Machine learning in polymer informatics

    Wuxin Sha;Yan Li;Shun Tang;Jie Tian

  • Advanced metaheuristic optimization techniques in applications of deep neural networks: a review

    Mohamed E. Abd Elaziz;Mohamed E. Abd Elaziz;Abdelghani Dahou;Laith Mohammad Abualigah;Liyang Yu

  • A new optimized predictive model based on political optimizer for eco-friendly MQL-turning of AISI 4340 alloy with nano-lubricants

    Ammar H. Elsheikh;Mohamed Abd Elaziz;Sudhansu Ranjan Das;T. Muthuramalingam

  • Artificial Intelligence to Power the Future of Materials Science and Engineering

    Wuxin Sha;Yaqing Guo;Qing Yuan;Shun Tang

  • An improved quantum-behaved particle swarm optimization method for short-term combined economic emission hydrothermal scheduling

    Songfeng Lu;Chengfu Sun;Zhengding Lu

  • Short-term combined economic emission hydrothermal scheduling using improved quantum-behaved particle swarm optimization

    Chengfu Sun;Songfeng Lu

  • Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia

    Ammar H. Elsheikh;Amal I. Saba;Mohamed Abd Elaziz;Songfeng Lu

  • Mining weighted association rules

    Songfeng Lu;Heping Hu;Fan Li

  • An Improved Marine Predators Algorithm With Fuzzy Entropy for Multi-Level Thresholding: Real World Example of COVID-19 CT Image Segmentation

    Mohamed E. Abd Elaziz;Ahmed A. Ewees;Dalia Yousri;Husein S. Naji Alwerfali

  • A new random vector functional link integrated with mayfly optimization algorithm for performance prediction of solar photovoltaic thermal collector combined with electrolytic hydrogen production system

    Mohamed Abd Elaziz;S. Senthilraja;Mohamed E. Zayed;Mohamed E. Zayed;Ammar H. Elsheikh

  • Quantum decision tree classifier

    Songfeng Lu;Samuel L. Braunstein

  • Opposition-based moth-flame optimization improved by differential evolution for feature selection

    Mohamed Abd Elaziz;Mohamed Abd Elaziz;Ahmed A. Ewees;Rehab Ali Ibrahim;Songfeng Lu

  • Advanced Metaheuristic Techniques for Mechanical Design Problems: Review

    Mohamed Abd Elaziz;Ammar H. Elsheikh;Diego Oliva;Laith Abualigah

  • Efficient Artificial Intelligence Forecasting Models for COVID-19 Outbreak in Russia and Brazil.

    Mohammed A.A. Al-qaness;Amal I. Saba;Ammar H. Elsheikh;Mohamed Abd Elaziz

  • Enhanced Marine Predators Algorithm for identifying static and dynamic Photovoltaic models parameters

    Mohamed Abd Elaziz;Sudhakar Babu Thanikanti;Ibrahim Anwar Ibrahim;Ibrahim Anwar Ibrahim;Songfeng Lu

  • Many-objectives multilevel thresholding image segmentation using Knee Evolutionary Algorithm

    Mohamed E. Abd Elaziz;Mohamed E. Abd Elaziz;Songfeng Lu

Frequent Co-Authors

Mohamed Abd Elaziz
Mohamed Abd Elaziz Ajman University of Science and Technology
Ahmed A. Ewees
Ahmed A. Ewees Damietta University
Diego Oliva
Diego Oliva University of Guadalajara
Mohammed A. A. Al-qaness
Mohammed A. A. Al-qaness Zhejiang Normal University
Dalia Yousri
Dalia Yousri Khalifa University
Amir H. Alavi
Amir H. Alavi University of Pittsburgh
Laith Mohammad Abualigah
Laith Mohammad Abualigah Al al-Bayt University
Erik Cuevas
Erik Cuevas University of Guadalajara
Samuel L. Braunstein
Samuel L. Braunstein University of York
Reinhard Schneider
Reinhard Schneider University of Luxembourg

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