World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
9147
World Ranking
4224
National Ranking
644

Computer Science

D-Index
41
Citations
9191
World Ranking
8686
National Ranking
1126

Kun Tan publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Kun Tan sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 142 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Kun Tan D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Kun Tan sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 41 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Kun Tan is a researcher affiliated with Huawei Technologies (China) in China, focusing primarily on Engineering and Environmental Science. Their work spans several subfields, including Media Technology, Ecology, Environmental Engineering, Electrical and Electronic Engineering, and Artificial Intelligence.

Their research prominently involves remote sensing technologies and spatial data analysis. Key topics in their work include Remote-Sensing Image Classification, Remote Sensing and Land Use, Remote Sensing in Agriculture, Geochemistry and Geologic Mapping, Soil Geostatistics and Mapping, Spectroscopy and Chemometric Analyses, and Land Use and Ecosystem Services.

Kun Tan has published extensively in a range of academic journals. Frequent publication venues include:

  • International Journal of Applied Earth Observation and Geoinformation
  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing
  • Geoderma
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Recent papers authored or co-authored by Kun Tan include:

  • Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning (2020, Journal of Hazardous Materials)
  • Advances of Four Machine Learning Methods for Spatial Data Handling: a Review (2020, Journal of Geovisualization and Spatial Analysis)
  • Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review (2021, International Journal of Applied Earth Observation and Geoinformation)
  • Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery (2021, Environmental Pollution)
  • A Deep Siamese Network with Hybrid Convolutional Feature Extraction Module for Change Detection Based on Multi-sensor Remote Sensing Images (2020, Remote Sensing)

Frequent collaborators in Kun Tan's research include Xue Wang, Jianwei Ding, Peijun Du, Yu Chen, and Zhaoxian Liu. These co-authors have contributed to multiple joint publications, indicating a network of ongoing research partnerships.

Best Publications

  • Dcell: a scalable and fault-tolerant network structure for data centers

    Chuanxiong Guo;Haitao Wu;Kun Tan;Lei Shi

  • A Compound TCP Approach for High-Speed and Long Distance Networks

    K. Tan;J. Song;Q. Zhang;M. Sridharan

  • BeepBeep: a high accuracy acoustic ranging system using COTS mobile devices

    Chunyi Peng;Guobin Shen;Yongguang Zhang;Yanlin Li

  • Sora: high-performance software radio using general-purpose multi-core processors

    Kun Tan;He Liu;Jiansong Zhang;Yongguang Zhang

  • Sora: high performance software radio using general purpose multi-core processors

    Kun Tan;Jiansong Zhang;Ji Fang;He Liu

  • Fine-grained channel access in wireless LAN

    Kun Tan;Ji Fang;Yuanyang Zhang;Shouyuan Chen

  • FiConn: Using Backup Port for Server Interconnection in Data Centers

    D. Li;C. Guo;H. Wu;K. Tan

  • A Practical SNR-Guided Rate Adaptation

    Jiansong Zhang;K. Tan;Jun Zhao;Haitao Wu

  • ClickNP: Highly Flexible and High Performance Network Processing with Reconfigurable Hardware

    Bojie Li;Kun Tan;Layong (Larry) Luo;Yanqing Peng

  • SAM: enabling practical spatial multiple access in wireless LAN

    Kun Tan;He Liu;Ji Fang;Wei Wang

  • Proactive Scan: Fast Handoff with Smart Triggers for 802.11 Wireless LAN

    Haitao Wu;Kun Tan;Yongguang Zhang;Qian Zhang

  • Distributed Channel Assignment and Routing in Multiradio Multichannel Multihop Wireless Networks

    Haitao Wu;Fan Yang;K. Tan;Jie Chen

  • Shortest path routing in partially connected ad hoc networks

    Kun Tan;Qian Zhang;Wenwu Zhu

  • Estimation based erasure-coding routing in delay tolerant networks

    Yong Liao;Kun Tan;Zhensheng Zhang;Lixin Gao

  • Scalable and cost-effective interconnection of data-center servers using dual server ports

    Dan Li;Chuanxiong Guo;Haitao Wu;Kun Tan

  • BigStation: enabling scalable real-time signal processingin large mu-mimo systems

    Qing Yang;Xiaoxiao Li;Hongyi Yao;Ji Fang

  • Aeolus: A Building Block for Proactive Transport in Datacenters

    Shuihai Hu;Wei Bai;Gaoxiong Zeng;Zilong Wang

  • Peer-to-peer (P2P) mobility system, and method

    Chuanxiong Guo;Haitao Wu;Kun Tan;Qian Zhang

  • Software-defined radio using multi-core processor

    Kun Tan;Jiansong Zhang;Yongguang Zhang

  • Automated service discovery and wireless network set-up

    Fan Yang;Junfeng Zhou;Kun Tan;Qian Zhang

Frequent Co-Authors

Yongguang Zhang
Yongguang Zhang Microsoft Research Asia (China)
Haitao Wu
Haitao Wu Google (United States)
Wenwu Zhu
Wenwu Zhu Tsinghua University
Kai Chen
Kai Chen Hong Kong University of Science and Technology
Miles F. Wilkinson
Miles F. Wilkinson University of California, San Diego
Wei Bai
Wei Bai Microsoft (United States)
Yong Cui
Yong Cui Tsinghua University
Geoffrey M. Voelker
Geoffrey M. Voelker University of California, San Diego
Jitendra Padhye
Jitendra Padhye Microsoft (United States)

External Links

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

For students pursuing Electronics and Electrical Engineering in the USA, exploring related online degrees can open diverse career opportunities. Many professionals complement their technical skills with management expertise. Programs such as a fast track project management degree online offer a convenient way to build leadership skills rapidly.

A bachelor degree in project management is another excellent option for engineers seeking roles in overseeing complex projects. These degrees combine engineering principles with business management techniques, improving career flexibility.

Accelerated formats are especially valuable for working adults looking to advance without pausing their careers. Many institutions provide accelerated online degrees, enabling faster completion while balancing professional and personal commitments.

Additionally, some graduates may pursue specialized areas like education within engineering fields. For those interested in training and curriculum development, an online masters in instructional design can enhance skills to develop effective learning systems and training materials.

Best Scientists Citing Kun Tan

Trending Scientists

Recently Published Articles