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2025

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Rising Stars

D-Index
40
Citations
9143
World Ranking
643
National Ranking
226

Computer Science

D-Index
47
Citations
12211
World Ranking
6368
National Ranking
846

Hong Ren 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 Hong Ren 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: 185 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Hong Ren 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 Hong Ren 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Hong Ren is affiliated with Southeast University in China and specializes in Engineering, with a focus on Electrical and Electronic Engineering, Aerospace Engineering, and Computer Networks and Communications among other subfields.

Their research predominantly covers topics related to advanced wireless communication technologies, including advanced MIMO systems optimization, antenna design and analysis, wireless communication security techniques, satellite communication systems, millimeter-wave propagation and modeling, and indoor and outdoor localization technologies.

Hong Ren has contributed extensively to the academic literature, with frequent publications in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Communications
  • IEEE Wireless Communications Letters
  • IEEE Communications Letters
  • IEEE Transactions on Wireless Communications

Their recent papers include:

  • Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces (2020), published in IEEE Transactions on Wireless Communications
  • Reconfigurable Intelligent Surfaces for 6G Systems: Principles, Applications, and Research Directions (2021), published in IEEE Communications Magazine
  • Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer (2020), published in IEEE Journal on Selected Areas in Communications
  • An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems (2022), published in IEEE Journal of Selected Topics in Signal Processing
  • A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels (2020), published in IEEE Transactions on Signal Processing

The scientist frequently collaborates with several co-authors, including Cunhua Pan, Kezhi Wang, Jiangzhou Wang, Maged Elkashlan, and Kangda Zhi, reflecting a collaborative approach across multiple research projects.

Best Publications

  • Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces

    Cunhua Pan;Hong Ren;Kezhi Wang;Wei Xu

  • Reconfigurable Intelligent Surfaces for 6G Systems: Principles, Applications, and Research Directions

    Cunhua Pan;Hong Ren;Kezhi Wang;Jonas Florentin Kolb

  • Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer

    Cunhua Pan;Hong Ren;Kezhi Wang;Maged Elkashlan

  • An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems

    Unknown

  • Active RIS Versus Passive RIS: Which is Superior With the Same Power Budget?

    Unknown

  • Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer

    Cunhua Pan;Hong Ren;Kezhi Wang;Maged Elkashlan

  • A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels

    Gui Zhou;Cunhua Pan;Hong Ren;Kezhi Wang

  • Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems

    Gui Zhou;Cunhua Pan;Hong Ren;Kezhi Wang

  • Artificial-Noise-Aided Secure MIMO Wireless Communications via Intelligent Reflecting Surface

    Sheng Hong;Cunhua Pan;Hong Ren;Kezhi Wang

  • Robust Beamforming Design for Intelligent Reflecting Surface Aided MISO Communication Systems

    Gui Zhou;Cunhua Pan;Hong Ren;Kezhi Wang

  • Channel Estimation for RIS-Aided Multiuser Millimeter-Wave Systems

    Gui Zhou;Cunhua Pan;Hong Ren;Petar Popovski

  • Power Scaling Law Analysis and Phase Shift Optimization of RIS-aided Massive MIMO Systems with Statistical CSI

    Kangda Zhi;Cunhua Pan;Hong Ren;Kezhi Wang

  • Robust Transmission Design for Intelligent Reflecting Surface-Aided Secure Communication Systems With Imperfect Cascaded CSI

    Sheng Hong;Cunhua Pan;Hong Ren;Kezhi Wang

  • Resource Allocation for Intelligent Reflecting Surface Aided Wireless Powered Mobile Edge Computing in OFDM Systems

    Tong Bai;Cunhua Pan;Hong Ren;Yansha Deng

  • Joint Blocklength and Location Optimization for URLLC-Enabled UAV Relay Systems

    Cunhua Pan;Hong Ren;Yansha Deng;Maged Elkashlan

  • Large-Scale Antenna Systems With UL/DL Hardware Mismatch: Achievable Rates Analysis and Calibration

    Wence Zhang;Hong Ren;Cunhua Pan;Ming Chen

  • Two-Timescale Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems With Imperfect CSI

    Unknown

  • Joint Pilot and Payload Power Allocation for Massive-MIMO-Enabled URLLC IIoT Networks

    Hong Ren;Cunhua Pan;Yansha Deng;Maged Elkashlan

  • Intelligent Reflecting Surface-aided URLLC in a Factory Automation Scenario

    Hong Ren;Kezhi Wang;Cunhua Pan

  • Secure Wireless Communication in RIS-Aided MISO System With Hardware Impairments

    Gui Zhou;Cunhua Pan;Hong Ren;Kezhi Wang

  • Joint Power and Blocklength Optimization for URLLC in a Factory Automation Scenario

    Hong Ren;Cunhua Pan;Yansha Deng;Maged Elkashlan

  • Resource Allocation for Secure URLLC in Mission-Critical IoT Scenarios

    Hong Ren;Cunhua Pan;Yansha Deng;Maged Elkashlan

  • Multicell MIMO Communications Relying on Intelligent Reflecting Surface

    Cunhua Pan;Hong Ren;Kezhi Wang;Wei Xu

  • Resource Allocation for Secure URLLC in Mission-Critical IoT Scenario

    Hong Ren;Cunhua Pan;Yansha Deng;Maged Elkashlan

Frequent Co-Authors

Cunhua Pan
Cunhua Pan Southeast University
Kezhi Wang
Kezhi Wang Brunel University London
Arumugam Nallanathan
Arumugam Nallanathan Queen Mary University of London
Maged Elkashlan
Maged Elkashlan Queen Mary University of London
Lajos Hanzo
Lajos Hanzo University of Southampton
Yansha Deng
Yansha Deng King's College London
Jiangzhou Wang
Jiangzhou Wang University of Kent
Marco Di Renzo
Marco Di Renzo CentraleSupélec
Xiaohu You
Xiaohu You Southeast University
A. Lee Swindlehurst
A. Lee Swindlehurst University of California, Irvine

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