World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
2921
World Ranking
13306
National Ranking
1631

Jie Lei 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 Jie Lei 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: 94 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Jie Lei 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 Jie Lei 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Jie Lei is affiliated with Xidian University in China and has contributed extensively to research in computer science and engineering. Their work focuses primarily on the fields of computer vision and pattern recognition, media technology, artificial intelligence, biomedical engineering, and atmospheric science.

The scientist's main research topics cover a range of areas including:

  • Remote-Sensing Image Classification
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Chemical Sensor Technologies
  • Advanced Image and Video Retrieval Techniques
  • Remote Sensing and Land Use
  • Advanced Image Fusion Techniques

Jie Lei has published numerous papers, with recent notable works including:

  • "SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery" (2023), IEEE Transactions on Geoscience and Remote Sensing
  • "Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection" (2020), IEEE Transactions on Geoscience and Remote Sensing
  • "Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection" (2020), IEEE Transactions on Geoscience and Remote Sensing
  • "Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection" (2021), IEEE Transactions on Neural Networks and Learning Systems
  • "Weakly Supervised Low-Rank Representation for Hyperspectral Anomaly Detection" (2021), IEEE Transactions on Cybernetics

Their frequent coauthors, with whom they have collaborated on multiple projects, include:

  • Weiying Xie
  • Yunsong Li
  • Qian Du
  • Jiaqing Zhang
  • Zunlei Feng

Jie Lei's work has been published predominantly in academic venues such as:

  • IEEE Transactions on Geoscience and Remote Sensing
  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Remote Sensing
  • IEEE Transactions on Neural Networks and Learning Systems

This publication record demonstrates a concentration on geoscience, remote sensing, and neural network applications, reflecting Jie Lei's research interests and expertise in these domains. Their contributions span cutting-edge techniques in hyperspectral anomaly detection and object detection in remote sensing imagery.

Best Publications

  • SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery

    Unknown

  • Structure Tensor and Guided Filtering-Based Algorithm for Hyperspectral Anomaly Detection

    Weiying Xie;Tao Jiang;Yunsong Li;Xiuping Jia

  • DeepChart: Combining deep convolutional networks and deep belief networks in chart classification

    Binbin Tang;Binbin Tang;Xiao Liu;Jie Lei;Mingli Song

  • Spectral constraint adversarial autoencoders approach to feature representation in hyperspectral anomaly detection.

    Weiying Xie;Jie Lei;Baozhu Liu;Yunsong Li

  • Hyperspectral Pansharpening With Deep Priors

    Weiying Xie;Jie Lei;Yuhang Cui;Yunsong Li

  • Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection

    Tao Jiang;Weiying Xie;Yunsong Li;Jie Lei

  • Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection

    Kai Jiang;Weiying Xie;Yunsong Li;Jie Lei

  • Hyperspectral Image Super-Resolution Using Deep Feature Matrix Factorization

    Weiying Xie;Xiuping Jia;Yunsong Li;Jie Lei

  • Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection

    Weiying Xie;Baozhu Liu;Yunsong Li;Jie Lei

  • Weakly Supervised Low-Rank Representation for Hyperspectral Anomaly Detection

    Weiying Xie;Xin Zhang;Yunsong Li;Jie Lei

  • When apache spark meets FPGAs: a case study for next-generation DNA sequencing acceleration

    Yu-Ting Chen;Jason Cong;Zhenman Fang;Jie Lei

  • Characterization of Background-Anomaly Separability With Generative Adversarial Network for Hyperspectral Anomaly Detection

    Jiaping Zhong;Weiying Xie;Yunsong Li;Jie Lei

  • Spectral–Spatial Feature Extraction for Hyperspectral Anomaly Detection

    Jie Lei;Weiying Xie;Jian Yang;Yunsong Li

  • HPGAN: Hyperspectral Pansharpening Using 3-D Generative Adversarial Networks

    Weiying Xie;Yuhang Cui;Yunsong Li;Jie Lei

  • LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection

    Kai Jiang;Weiying Xie;Jie Lei;Tao Jiang

  • Discriminative Reconstruction for Hyperspectral Anomaly Detection With Spectral Learning

    Jie Lei;Shuo Fang;Weiying Xie;Yunsong Li

  • A Novel High-Throughput Acceleration Engine for Read Alignment

    Yu-Ting Chen;Jason Cong;Jie Lei;Peng Wei

  • Self-spectral learning with GAN based spectral–spatial target detection for hyperspectral image

    Weiying Xie;Jiaqing Zhang;Jie Lei;Yunsong Li

  • Spectral Adversarial Feature Learning for Anomaly Detection in Hyperspectral Imagery

    Weiying Xie;Baozhu Liu;Yunsong Li;Jie Lei

  • SRUN: Spectral Regularized Unsupervised Networks for Hyperspectral Target Detection

    Weiying Xie;Jian Yang;Jie Lei;Yunsong Li

  • High-quality spectral-spatial reconstruction using saliency detection and deep feature enhancement

    Weiying Xie;Yanzi Shi;Yunsong Li;Xiuping Jia

  • Discriminative Feature Learning With Distance Constrained Stacked Sparse Autoencoder for Hyperspectral Target Detection

    Yanzi Shi;Jie Lei;Yaping Yin;Kailang Cao

  • When Spark Meets FPGAs: A Case Study for Next-Generation DNA Sequencing Acceleration

    Yu-Ting Chen;Jason Cong;Zhenman Fang;Jie Lei

Frequent Co-Authors

Qian Du
Qian Du Mississippi State University
Xiuping Jia
Xiuping Jia University of New South Wales
Chein-I Chang
Chein-I Chang University of Maryland, Baltimore County
Jason Cong
Jason Cong University of California, Los Angeles

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