World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5181
World Ranking
10849
National Ranking
1343

Songfeng Lu publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Songfeng Lu sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 138 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Songfeng Lu D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Songfeng Lu sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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
Fang Liu
Fang Liu Beihang 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
Erik Cuevas
Erik Cuevas University of Guadalajara
Samuel L. Braunstein
Samuel L. Braunstein University of York
Laith Mohammad Abualigah
Laith Mohammad Abualigah Al al-Bayt University

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