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Shuangfeng Han

Shuangfeng Han

Shuangfeng Han 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 Shuangfeng Han 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+

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

Shuangfeng Han 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 Shuangfeng Han 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+

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

Overview

Shuangfeng Han is a researcher affiliated with China Mobile (China) based in China. Their primary field of study is engineering, with a significant focus on electrical and electronic engineering, which accounts for the majority of their publications. They are also involved in research related to computer networks and communications, aerospace engineering, media technology, and computer vision and pattern recognition.

The main research topics covered in Shuangfeng Han's work include:

  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Technologies
  • Full-Duplex Wireless Communications
  • Energy Harvesting in Wireless Networks
  • Millimeter-Wave Propagation and Modeling
  • Telecommunications and Broadcasting Technologies
  • Software-Defined Networks and 5G

Han has contributed to the body of knowledge in wireless communications and information sciences through publications in various respected venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • IEEE Communications Magazine
  • Science China Information Sciences
  • IEEE Transactions on Communications
  • Nature Electronics

Among recent papers authored or co-authored by Shuangfeng Han are:

  • "Artificial-Intelligence-Enabled Air Interface for 6G: Solutions, Challenges, and Standardization Impacts," 2020, IEEE Communications Magazine
  • "Greener Physical Layer Technologies for 6G Mobile Communications," 2021, IEEE Communications Magazine
  • "Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts," 2020, Science China Information Sciences (authored by Xiaohu You, but part of related research context)
  • "Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications," 2021, IEEE Transactions on Communications
  • "Energy-efficient 5G for a greener future," 2020, Nature Electronics

Han frequently collaborates with several co-authors, including I Chih-Lin, Chao-Kai Wen, Shi Jin, Xiaoyun Wang, and Tian Xie. Among these, I Chih-Lin appears as a recurrent partner in multiple research works.

Best Publications

  • Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends

    Linglong Dai;Bichai Wang;Yifei Yuan;Shuangfeng Han

  • Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

    Xiaohu You;Cheng-Xiang Wang;Jie Huang;Xiqi Gao

  • Large-scale antenna systems with hybrid analog and digital beamforming for millimeter wave 5G

    Shuangfeng Han;Chih-Lin I;Zhikun Xu;Corbett Rowell

  • Energy-Efficient Hybrid Analog and Digital Precoding for MmWave MIMO Systems With Large Antenna Arrays

    Xinyu Gao;Linglong Dai;Shuangfeng Han;Chih-Lin I

  • Toward green and soft: a 5G perspective

    Chih-Lin I;Corbett Rowell;Shuangfeng Han;Zhikun Xu

  • On the Ergodic Capacity of MIMO NOMA Systems

    Qi Sun;Shuangfeng Han;Chin-Lin I;Zhengang Pan

  • Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications

    Chen Hu;Linglong Dai;Shuangfeng Han;Xiaoyun Wang

  • Low-Complexity Soft-Output Signal Detection Based on Gauss–Seidel Method for Uplink Multiuser Large-Scale MIMO Systems

    Linglong Dai;Xinyu Gao;Xin Su;Shuangfeng Han

  • Compressive Sensing Techniques for Next-Generation Wireless Communications

    Zhen Gao;Linglong Dai;Shuangfeng Han;Chih-Lin I

  • Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array

    Xinyu Gao;Linglong Dai;Shuangfeng Han;Chih-Lin I

  • Toward the Standardization of Non-Orthogonal Multiple Access for Next Generation Wireless Networks

    Yan Chen;Alireza Bayesteh;Yiqun Wu;Bin Ren

  • Energy-efficient 5G for a greener future

    Chih-Lin I;Shuangfeng Han;Sen Bian

  • Machine learning inspired energy-efficient hybrid precoding for mmWave massive MIMO systems

    Xinyu Gao;Linglong Dai;Ying Sun;Shuangfeng Han

  • New Paradigm of 5G Wireless Internet

    Chih-Lin I;Shuangfeng Han;Zhikun Xu;Sen Wang

  • Near-optimal hybrid analog and digital precoding for downlink mmWave massive MIMO systems

    Linglong Dai;Xinyu Gao;Jinguo Quan;Shuangfeng Han

  • Energy efficiency optimization for fading MIMO non-orthogonal multiple access systems

    Qi Sun;Shuangfeng Han;Chin-Lin I;Zhengang Pan

  • Near-Optimal Hybrid Analog and Digital Precoding for Downlink mmWave Massive MIMO Systems

    Linglong Dai;Xinyu Gao;Jinguo Quan;Shuangfeng Han

  • Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO

    Wenqian Shen;Linglong Dai;Shuangfeng Han;I. Chih-Lin

  • Nonorthogonal Multiple Access for 5G

    Linglong Dai;Bichai Wang;Ruicheng Jiao;Zhiguo Ding

  • Low-Complexity Soft-Output Signal Detection Based on Gauss-Seidel Method for Uplink Multi-User Large-Scale MIMO Systems

    Linglong Dai;Xinyu Gao;Xin Su;Shuangfeng Han

Frequent Co-Authors

Chih-Lin I
Chih-Lin I China Mobile (China)
Linglong Dai
Linglong Dai Tsinghua University
Zhaocheng Wang
Zhaocheng Wang Tsinghua University
Geoffrey Ye Li
Geoffrey Ye Li Imperial College London
Guanding Yu
Guanding Yu Zhejiang University
Robert W. Heath
Robert W. Heath University of California, San Diego
Yan Chen
Yan Chen Northwestern University
Zhiguo Ding
Zhiguo Ding Nanyang Technological University
Lajos Hanzo
Lajos Hanzo University of Southampton
Yifei Yuan
Yifei Yuan Argonne National Laboratory

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