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2025

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Rising Stars

D-Index
43
Citations
8681
World Ranking
514
National Ranking
173

Computer Science

D-Index
46
Citations
10686
World Ranking
6754
National Ranking
904

Yuanming Shi 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 Yuanming Shi 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Yuanming Shi 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 Yuanming Shi sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 46 D-Index — 53rd percentile

53% 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

Yuanming Shi is affiliated with ShanghaiTech University in China and has a research focus spanning engineering and computer science. Their scholarly work integrates subfields including electrical and electronic engineering, artificial intelligence, computer networks and communications, aerospace engineering, and computational mechanics.

The primary topics of Yuanming Shi's research encompass advanced wireless communication technologies, privacy-preserving technologies in data, indoor and outdoor localization technologies, advanced MIMO systems optimization, wireless communication security techniques, sparse and compressive sensing techniques, and stochastic gradient optimization techniques.

Yuanming Shi has contributed to various publication venues. Frequent outlets include arXiv (Cornell University), IEEE Transactions on Wireless Communications, IEEE Internet of Things Journal, IEEE Transactions on Communications, and IEEE Journal on Selected Areas in Communications.

Selected recent papers authored or co-authored by Yuanming Shi include:

  • Communication-Efficient Edge AI: Algorithms and Systems, 2020, IEEE Communications Surveys & Tutorials
  • Federated Learning via Over-the-Air Computation, 2020, IEEE Transactions on Wireless Communications
  • Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications, 2021, IEEE Journal on Selected Areas in Communications
  • Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities, 2021, IEEE Wireless Communications
  • Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis, 2020, IEEE Journal on Selected Areas in Communications

Yuanming Shi collaborates frequently with several researchers, including Yong Zhou, Khaled B. Letaief, Youlong Wu, Chunxiao Jiang, and Dingzhu Wen, reflecting ongoing partnerships within the wireless communications research community.

In addition to research articles, Yuanming Shi has contributed to academic book publications. Notably, a book titled Federated Edge Learning is scheduled for publication by Springer International Publishing in 2025.

Best Publications

  • The Roadmap to 6G: AI Empowered Wireless Networks

    Khaled B. Letaief;Wei Chen;Yuanming Shi;Jun Zhang

  • Federated Learning via Over-the-Air Computation

    Kai Yang;Tao Jiang;Yuanming Shi;Zhi Ding

  • Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

    Khaled B. Letaief;Yuanming Shi;Jianmin Lu;Jianhua Lu

  • Group Sparse Beamforming for Green Cloud-RAN

    Yuanming Shi;Jun Zhang;Khaled B. Letaief

  • Communication-Efficient Edge AI: Algorithms and Systems

    Yuanming Shi;Kai Yang;Tao Jiang;Jun Zhang

  • Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities

    Xiaojun Yuan;Ying-Jun Angela Zhang;Yuanming Shi;Wenjing Yan

  • Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis

    Yifei Shen;Yuanming Shi;Jun Zhang;Khaled B. Letaief

  • Intelligent Reflecting Surface for Downlink Non-Orthogonal Multiple Access Networks

    Min Fu;Yong Zhou;Yuanming Shi

  • Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface

    Kai Yang;Yuanming Shi;Yong Zhou;Zhanpeng Yang

  • Over-the-Air Computation via Intelligent Reflecting Surfaces

    Tao Jiang;Yuanming Shi

  • Reconfigurable Intelligent Surface Empowered Downlink Non-Orthogonal Multiple Access

    Min Fu;Yong Zhou;Yuanming Shi;Khaled B. Letaief

  • Task-Oriented Communications for 6G: Vision, Principles, and Technologies

    Unknown

  • Gradient and Channel Aware Dynamic Scheduling for Over-the-Air Computation in Federated Edge Learning Systems

    Unknown

  • Federated Learning via Intelligent Reflecting Surface

    Zhibin Wang;Jiahang Qiu;Yong Zhou;Yuanming Shi

  • Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks

    Unknown

  • LORM: Learning to Optimize for Resource Management in Wireless Networks With Few Training Samples

    Yifei Shen;Yuanming Shi;Jun Zhang;Khaled B. Letaief

  • Large-Scale Convex Optimization for Dense Wireless Cooperative Networks

    Yuanming Shi;Jun Zhang;Brendan O'Donoghue;Khaled B. Letaief

  • Trustworthy Federated Learning via Blockchain

    Unknown

  • Large-scale convex optimization for ultra-dense cloud-RAN

    Yuanming Shi;Jun Zhang;Khaled B. Letaief;Bo Bai

  • Wireless-Powered Over-the-Air Computation in Intelligent Reflecting Surface-Aided IoT Networks

    Zhibin Wang;Yuanming Shi;Yong Zhou;Haibo Zhou

  • A Graph Neural Network Approach for Scalable Wireless Power Control

    Yifei Shen;Yuanming Shi;Jun Zhang;Khaled B. Letaief

  • Smoothed $L_p$ -Minimization for Green Cloud-RAN With User Admission Control

    Yuanming Shi;Jinkun Cheng;Jun Zhang;Bo Bai

  • A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression

    Kai Yang;Tao Fan;Tianjian Chen;Yuanming Shi

  • Federated Learning via Intelligent Reflecting Surface

    Zhibin Wang;Jiahang Qiu;Yong Zhou;Yuanming Shi

Frequent Co-Authors

Khaled Ben Letaief
Khaled Ben Letaief Hong Kong University of Science and Technology
Jun Zhang
Jun Zhang Hong Kong University of Science and Technology
Wei Chen
Wei Chen Tsinghua University
Zhi Ding
Zhi Ding University of California, Davis
Ting Wang
Ting Wang Washington University in St. Louis
Xiaojun Yuan
Xiaojun Yuan University of Electronic Science and Technology of China
Laurent Kneip
Laurent Kneip ShanghaiTech University
Wei Yu
Wei Yu University of Toronto
Rui Zhang
Rui Zhang National University of Singapore
Ning Zhang
Ning Zhang University of Windsor

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