World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
7758
World Ranking
10569
National Ranking
1301

Changchuan Yin 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 Changchuan Yin 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: 272 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Changchuan Yin 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 Changchuan Yin 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Changchuan Yin is affiliated with Beijing University of Posts and Telecommunications in China. Their research primarily spans the fields of Engineering and Computer Science, with significant contributions in Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Artificial Intelligence, and Computer Vision and Pattern Recognition.

The following are notable recent publications by Changchuan Yin:

  • A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks, 2020, IEEE Transactions on Wireless Communications
  • Federated Learning based Audio Semantic Communication over Wireless Networks, 2021, 2021 IEEE Global Communications Conference (GLOBECOM)
  • A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks, 2020, IEEE Internet of Things Journal
  • Federated Learning for Task and Resource Allocation in Wireless High-Altitude Balloon Networks, 2021, IEEE Internet of Things Journal
  • Federated Learning for Audio Semantic Communication, 2021, Frontiers in Communications and Networks

Changchuan Yin collaborates frequently with several researchers, including:

  • Sihua Wang
  • Mingzhe Chen
  • Walid Saad
  • Shuguang Cui
  • Zhaohui Yang

The scientist's published research appears regularly in prominent venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Mobile Computing
  • IEEE Internet of Things Journal
  • IEEE Communications Letters

Their work focuses on several main topics, including:

  • UAV Applications and Optimization
  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization
  • Privacy-Preserving Technologies in Data
  • Cooperative Communication and Network Coding
  • IoT and Edge/Fog Computing
  • Indoor and Outdoor Localization Technologies

Best Publications

  • A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks

    Mingzhe Chen;Zhaohui Yang;Walid Saad;Changchuan Yin

  • Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial

    Mingzhe Chen;Ursula Challita;Walid Saad;Changchuan Yin

  • Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience

    Mingzhe Chen;Mohammad Mozaffari;Walid Saad;Changchuan Yin

  • Virtual Reality Over Wireless Networks: Quality-of-Service Model and Learning-Based Resource Management

    Mingzhe Chen;Walid Saad;Changchuan Yin

  • Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks

    Mingzhe Chen;Ursula Challita;Walid Saad;Changchuan Yin

  • A squaring method to simplify the decoding of orthogonal space-time block codes

    Xiangming Li;Tao Luo;Guangxin Yue;Changchuan Yin

  • Echo State Networks for Proactive Caching in Cloud-Based Radio Access Networks With Mobile Users

    Mingzhe Chen;Walid Saad;Changchuan Yin;Merouane Debbah

  • Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks

    Mingzhe Chen;Walid Saad;Changchuan Yin

  • Lightweight Management of Resource-Constrained Sensor Devices in Internet of Things

    Zhengguo Sheng;Hao Wang;Changchuan Yin;Xiping Hu

  • Federated Learning based Audio Semantic Communication over Wireless Networks

    Unknown

  • Scaling laws for overlaid wireless networks: a cognitive radio network versus a primary network

    Changchuan Yin;Long Gao;Shuguang Cui

  • Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks

    Mingzhe Chen;Omid Semiari;Walid Saad;Xuanlin Liu

  • Echo-Liquid State Deep Learning for 360° Content Transmission and Caching in Wireless VR Networks With Cellular-Connected UAVs

    Mingzhe Chen;Walid Saad;Changchuan Yin

  • Echo State Networks for Self-Organizing Resource Allocation in LTE-U With Uplink–Downlink Decoupling

    Mingzhe Chen;Walid Saad;Changchuan Yin

  • Performance Analysis of Routing Protocol for Low Power and Lossy Networks (RPL) in Large Scale Networks

    Xiyuan Liu;Zhengguo Sheng;Changchuan Yin;Falah Ali

  • A Joint Learning and Communications Framework for Federated Learning over Wireless Networks

    Mingzhe Chen;Zhaohui Yang;Walid Saad;Changchuan Yin

  • Joint resource allocation and computation offloading in mobile edge computing for SDN based wireless networks

    Nahida Kiran;Chunyu Pan;Sihua Wang;Changchuan Yin

  • Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks

    Sihua Wang;Mingzhe Chen;Changchuan Yin;Walid Saad

  • Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach

    Mingzhe Chen;Walid Saad;Changchuan Yin;Merouane Debbah

  • Performance Optimization of Federated Learning over Wireless Networks

    Mingzhe Chen;Zhaohui Yang;Walid Saad;Changchuan Yin

  • A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks

    Sihua Wang;Mingzhe Chen;Xuanlin Liu;Changchuan Yin

  • Optimal impulse response shortening for discrete multitone transceivers

    Changchuan Yin;Guangxin Yue

  • Reduced-Complexity Proportional Fair Scheduling for OFDMA Systems

    Zhishui Sun;Changchuan Yin;Guangxin Yue

  • Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial

    Mingzhe Chen;Ursula Challita;Walid Saad;Changchuan Yin

  • Scaling Laws for Overlaid Wireless Networks: A Cognitive Radio Network vs. a Primary Network

    Changchuan Yin;Long Gao;Shuguang Cui

Frequent Co-Authors

Mingzhe Chen
Mingzhe Chen University of Miami
Walid Saad
Walid Saad Virginia Tech
Shuguang Cui
Shuguang Cui Chinese University of Hong Kong, Shenzhen
Merouane Debbah
Merouane Debbah Khalifa University
H. Vincent Poor
H. Vincent Poor Princeton University
Rui Zhang
Rui Zhang National University of Singapore
Zhu Han
Zhu Han University of Houston
Norman C. Beaulieu
Norman C. Beaulieu Beijing University of Posts and Telecommunications
Choong Seon Hong
Choong Seon Hong Kyung Hee University
Zhengguo Sheng
Zhengguo Sheng University of Sussex

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