World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

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

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

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 vast array of related fields and flexible learning options. Online degrees are increasingly popular, allowing students to tailor their studies around work and personal responsibilities.

Many students consider a data science degree to expand their analytical skill set and career opportunities in high-demand roles. For those interested in hardware, pursuing electrical engineering via distance learning can be cost-effective—check out the latest information on electrical engineering online tuition costs to find programs that fit your budget.

If you're looking for a quicker entry into the tech workforce or want to boost your qualifications, consider various easy certifications that pay well. These can often be completed in a matter of months and offer strong returns on investment.

For graduate studies, accelerated options are also available. Explore the shortest master degree programs online to earn an advanced credential with minimal time away from your career or other pursuits.

Best Scientists Citing Ran Tao

Trending Scientists