World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
11820
World Ranking
3876
National Ranking
519

Ran Tao 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 Ran Tao 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: 357 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Ran Tao 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 Ran Tao 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Ran Tao is a researcher affiliated with the Beijing Institute of Technology in China. Their academic work primarily spans the fields of engineering and materials science, with a focus on several subfields including mechanics of materials, electrical and electronic engineering, materials chemistry, mechanical engineering, and biomedical engineering.

The scientist's research covers a broad range of topics. Key areas of focus include mechanical behavior of composites, adhesion, friction and surface interactions, advancements in battery materials, ultrasonics and acoustic wave propagation, electronic packaging and soldering technologies, optical measurement and interference techniques, and corrosion behavior and inhibition.

Ran Tao has contributed to various scholarly articles published in notable venues. Frequent publication outlets include:

  • Composites Part A Applied Science and Manufacturing
  • SSRN Electronic Journal
  • Composites Science and Technology
  • Nature Communications
  • Nano Letters

Several recent papers authored or coauthored by Ran Tao illustrate their research scope. Selected publications include:

  • "Tin-graphene tubes as anodes for lithium-ion batteries with high volumetric and gravimetric energy densities," 2020, Nature Communications
  • "Three-Dimensional Printable Nanoporous Polymer Matrix Composites for Daytime Radiative Cooling," 2021, Nano Letters
  • "Dual redox mediators accelerate the electrochemical kinetics of lithium-sulfur batteries," 2020, Nature Communications
  • "Metallization of polymers and composites: State-of-the-art approaches," 2022, Materials & Design
  • "Graphite-Embedded Lithium Iron Phosphate for High-Power-Energy Cathodes," 2021, Nano Letters

Ran Tao frequently collaborates with other researchers. Notable coauthors include Gilles Lubineau, Arief Yudhanto, Xiaole Li, Ruslan Melentiev, and Marco Alfano, with collaboration counts ranging from six to twenty-six joint works.

Best Publications

  • Short-Time Fractional Fourier Transform and Its Applications

    Ran Tao;Yan-Lei Li;Yue Wang

  • Detection and parameter estimation of multicomponent LFM signal based on the fractional Fourier transform

    Lin Qi;Lin Qi;Ran Tao;Siyong Zhou;Yue Wang

  • ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

    Xin Wu;Danfeng Hong;Jiaojiao Tian;Jocelyn Chanussot

  • Deep Learning for UAV-based Object Detection and Tracking: A Survey

    Xin Wu;Wei Li;Danfeng Hong;Ran Tao

  • Double image encryption based on random phase encoding in the fractional Fourier domain

    Ran Tao;Yi Xin;Yue Wang

  • Research progress of the fractional Fourier transform in signal processing

    Ran Tao;Bing Deng;Yue Wang

  • Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification.

    Yuxiang Zhang;Wei Li;Mengmeng Zhang;Ying Qu

  • Hyperspectral Anomaly Detection by Fractional Fourier Entropy

    Ran Tao;Xudong Zhao;Wei Li;Heng-Chao Li

  • Sampling and Sampling Rate Conversion of Band Limited Signals in the Fractional Fourier Transform Domain

    Ran Tao;Bing Deng;Wei-Qiang Zhang;Yue Wang

  • Prior-Based Tensor Approximation for Anomaly Detection in Hyperspectral Imagery

    Lu Li;Wei Li;Ying Qu;Chunhui Zhao

  • MATNet: Motion-Attentive Transition Network for Zero-Shot Video Object Segmentation

    Tianfei Zhou;Jianwu Li;Shunzhou Wang;Ran Tao

  • Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture

    Xudong Zhao;Ran Tao;Wei Li;Heng-Chao Li

  • New sampling formulae related to linear canonical transform

    Bing-Zhao Li;Ran Tao;Yue Wang

  • Convolution theorems for the linear canonical transform and their applications

    Bing Deng;Ran Tao;Yue Wang

  • Low-Rank and Sparse Decomposition With Mixture of Gaussian for Hyperspectral Anomaly Detection

    Lu Li;Wei Li;Qian Du;Ran Tao

  • Analysing and compensating the effects of range and Doppler frequency migrations in linear frequency modulation pulse compression radar

    R. Tao;N. Zhang;Y. Wang

  • Information Fusion for Classification of Hyperspectral and LiDAR Data Using IP-CNN

    Mengmeng Zhang;Wei Li;Ran Tao;Hengchao Li

  • Spatial–Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification

    Wen-Shuai Hu;Heng-Chao Li;Lei Pan;Wei Li

  • Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network

    Yunhao Gao;Wei Li;Mengmeng Zhang;Jianbu Wang

  • Image Encryption With Multiorders of Fractional Fourier Transforms

    Ran Tao;Xiang-Yi Meng;Yue Wang

  • Sparse Discrete Fractional Fourier Transform and Its Applications

    Shengheng Liu;Tao Shan;Ran Tao;Yimin D. Zhang

  • Optical image encryption based on the multiple-parameter fractional Fourier transform

    Ran Tao;Jun Lang;Yue Wang

  • On Sampling of Band-Limited Signals Associated With the Linear Canonical Transform

    Ran Tao;Bing-Zhao Li;Yue Wang;G.K. Aggrey

  • Image Encryption With Multiorders of Fractional

    Ran Tao;Xiang-Yi Meng;Yue Wang

Frequent Co-Authors

Qian Du
Qian Du Mississippi State University
Wei Li
Wei Li Beijing Institute of Technology
Danfeng Hong
Danfeng Hong Chinese Academy of Sciences
Xiang-Gen Xia
Xiang-Gen Xia University of Delaware
Heng-Chao Li
Heng-Chao Li Southwest Jiaotong University
Yimin Zhang
Yimin Zhang Temple University
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
James E. Fowler
James E. Fowler Mississippi State University
Moeness G. Amin
Moeness G. Amin Villanova University
Nigel H. Lovell
Nigel H. Lovell University of New South Wales

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