World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
8623
World Ranking
8302
National Ranking
1085

Lenan Wu 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 Lenan Wu 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: 270 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Lenan Wu 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 Lenan Wu 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Lenan Wu is affiliated with Southeast University in China. Their research spans across Engineering and Computer Science, with a strong focus on Aerospace Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, and Computational Mechanics.

The main topics of Lenan Wu's work include:

  • Radar Systems and Signal Processing
  • Advanced SAR Imaging Techniques
  • Direction-of-Arrival Estimation Techniques
  • Sparse and Compressive Sensing Techniques
  • Wireless Communication Security Techniques
  • IoT and Edge/Fog Computing
  • Microwave Imaging and Scattering Analysis

Lenan Wu has published extensively in several scholarly venues, including:

  • Sensors
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Systems Journal

Recent papers authored by Lenan Wu cover a range of topics related to wireless communications, reinforcement learning, and radar system design. Key publications include:

  • "Jamming and Eavesdropping Defense Scheme Based on Deep Reinforcement Learning in Autonomous Vehicle Networks," 2023, IEEE Transactions on Information Forensics and Security
  • "Power Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches," 2020, IEEE Transactions on Wireless Communications
  • "Deep Reinforcement Learning-Based Task Scheduling in IoT Edge Computing," 2021, Sensors
  • "MIMO Radar Design for Extended Target Detection in a Spectrally Crowded Environment," 2021, IEEE Transactions on Intelligent Transportation Systems
  • "Robust Transceiver Design in the Presence of Eclipsing Loss for Spectrally Dense Environments," 2020, IEEE Systems Journal

Lenan Wu frequently collaborates with several co-authors, including Yu Yao, Peng Chen, Zeqing Li, Shuran Sheng, and Zhimin Chen. These collaborations reflect interdisciplinary efforts and continuity in research themes.

Best Publications

  • Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network

    Yudong Zhang;Lenan Wu

  • A hybrid method for MRI brain image classification

    Yudong Zhang;Zhengchao Dong;Lenan Wu;Shuihua Wang

  • Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine

    Yudong Zhang;Lenan Wu

  • Automatic Modulation Classification: A Deep Learning Enabled Approach

    Fan Meng;Peng Chen;Lenan Wu;Xianbin Wang

  • An Mr Brain Images Classifier via Principal Component Analysis and Kernel Support Vector Machine

    Yu-Dong Zhang;Lenan Wu

  • Optimal Multi-Level Thresholding Based on Maximum Tsallis Entropy via an Artificial Bee Colony Approach

    Yudong Zhang;Lenan Wu

  • MAGNETIC RESONANCE BRAIN IMAGE CLASSIFICATION BY AN IMPROVED ARTIFICIAL BEE COLONY ALGORITHM

    Yudong Zhang;Lenan Wu;Shuihua Wang

  • Power Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches

    Fan Meng;Peng Chen;Lenan Wu;Julian Cheng

  • Comparison of machine learning methods for stationary wavelet entropy-based multiple sclerosis detection

    Yudong Zhang;Siyuan Lu;Xingxing Zhou;Ming Yang

  • A Novel Method for Magnetic Resonance Brain Image Classification Based on Adaptive Chaotic PSO

    Yudong Zhang;Shuihua Wang;Lenan Wu

  • Crop Classification by Forward Neural Network with Adaptive Chaotic Particle Swarm Optimization

    Yudong Zhang;Lenan Wu

  • Find multi-objective paths in stochastic networks via chaotic immune PSO

    Yudong Zhang;Yan Jun;Geng Wei;Lenan Wu

  • Deep Reinforcement Learning-Based Task Scheduling in IoT Edge Computing

    Shuran Sheng;Peng Chen;Zhimin Chen;Lenan Wu

  • Moving Target Detection Using Colocated MIMO Radar on Multiple Distributed Moving Platforms

    Peng Chen;Le Zheng;Xiaodong Wang;Hongbin Li

  • WEIGHTS OPTIMIZATION OF NEURAL NETWORK VIA IMPROVED BCO APPROACH

    Yu-Dong Zhang;Lenan Wu

  • UCAV Path Planning by Fitness-Scaling Adaptive Chaotic Particle Swarm Optimization

    Yudong Zhang;Lenan Wu;Shuihua Wang

  • A New Classifier for Polarimetric SAR Images

    Yu-Dong Zhang;Lenan Wu;and Geng Wei

  • A novel algorithm for all pairs shortest path problem based on matrix multiplication and pulse coupled neural network

    Yudong Zhang;Lenan Wu;Geng Wei;Shuihua Wang

  • Pilot Design Schemes for Sparse Channel Estimation in OFDM Systems

    Chenhao Qi;Guosen Yue;Lenan Wu;Yongming Huang

  • Optimized Pilot Placement for Sparse Channel Estimation in OFDM Systems

    Chenhao Qi;Lenan Wu

  • FEATURE EXTRACTION OF BRAIN MRI BY STATIONARY WAVELET TRANSFORM AND ITS APPLICATIONS

    Yudong Zhang;Shuihua Wang;Yuankai Huo;Lenan Wu

Frequent Co-Authors

Yudong Zhang
Yudong Zhang University of Leicester
Chenhao Qi
Chenhao Qi Southeast University
Shuihua Wang
Shuihua Wang Xi’an Jiaotong-Liverpool University
Julian Cheng
Julian Cheng University of British Columbia
Yuankai Huo
Yuankai Huo Vanderbilt University
Xianbin Wang
Xianbin Wang University of Western Ontario
Arumugam Nallanathan
Arumugam Nallanathan Queen Mary University of London
Yongming Huang
Yongming Huang Southeast University
Naofal Al-Dhahir
Naofal Al-Dhahir The University of Texas at Dallas
Mohamed-Slim Alouini
Mohamed-Slim Alouini King Abdullah University of Science and Technology

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 computer science in the USA opens doors to a range of related online degrees and alternative career paths. For those interested in the foundations of technology and problem-solving, an online theoretical physics degree can provide strong analytical and quantitative skills highly prized in technical industries.

As data-driven decision-making becomes more important across disciplines, data science degrees offer a blend of statistics, programming, and analytical training. These programs help students tackle everything from artificial intelligence to business analytics.

For those seeking even more specialized expertise, an online master’s in electrical engineering degree can lead to high-demand roles in technology, hardware, and innovation-driven environments.

Looking for quicker qualifications? Consider options from easy certifications that pay well to fast-track your entry into tech-focused roles. Whether you aim for advanced degrees or industry certifications, the pathways are flexible and diverse for computer science enthusiasts.

Best Scientists Citing Lenan Wu

Trending Scientists

Recently Published Articles