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D-Index
36
Citations
2947
World Ranking
816
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269

Computer Science

D-Index
38
Citations
3352
World Ranking
10418
National Ranking
1290

Junjuan Xia 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 Junjuan Xia 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: 70 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Junjuan Xia 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 Junjuan Xia 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: 38 D-Index — 30th percentile

30% 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

Junjuan Xia is affiliated with Guangzhou University in China and has contributed significantly to the fields of Engineering and Computer Science through a considerable volume of research publications. Their work spans multiple subfields, including Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering, and Biomedical Engineering.

Their research focuses on several main topics, highlighting areas such as:

  • Advanced Wireless Communication Technologies
  • IoT and Edge/Fog Computing
  • Advanced MIMO Systems Optimization
  • Privacy-Preserving Technologies in Data
  • Energy Harvesting in Wireless Networks
  • Wireless Communication Security Techniques
  • Age of Information Optimization

Junjuan Xia's recent papers include:

  • "Dynamic Offloading for Multiuser Muti-CAP MEC Networks: A Deep Reinforcement Learning Approach," 2021, IEEE Transactions on Vehicular Technology
  • "Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT," 2022, IEEE Transactions on Network Science and Engineering
  • "Deep reinforcement learning based mobile edge computing for intelligent Internet of Things," 2020, Physical Communication
  • "Efficient and flexible management for industrial Internet of Things: A federated learning approach," 2021, Computer Networks
  • "Dilated Convolution Based CSI Feedback Compression for Massive MIMO Systems," 2022, IEEE Transactions on Vehicular Technology

Frequent co-authors collaborating with Junjuan Xia include:

  • Lisheng Fan
  • Liseng Fan
  • Shiwei Lai
  • Arumugam Nallanathan
  • Dan Deng

The venues where Junjuan Xia most often publishes are:

  • Physical Communication
  • IEEE Access
  • IEEE Transactions on Vehicular Technology
  • EURASIP Journal on Advances in Signal Processing
  • EURASIP Journal on Wireless Communications and Networking

Best Publications

  • A Novel Framework of Three-Hierarchical Offloading Optimization for MEC in Industrial IoT Networks

    Zichao Zhao;Rui Zhao;Junjuan Xia;Xianfu Lei

  • Dynamic Offloading for Multiuser Muti-CAP MEC Networks: A Deep Reinforcement Learning Approach

    Chao Li;Junjuan Xia;Fagui Liu;Dong Li

  • Outdated Access Point Selection for Mobile Edge Computing With Cochannel Interference

    Unknown

  • Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT.

    Shunpu Tang;Lunyuan Chen;Ke He;Junjuan Xia

  • Efficient and flexible management for industrial Internet of Things: A federated learning approach

    Yinghao Guo;Zichao Zhao;Ke He;Shiwei Lai

  • Dilated Convolution based CSI Feedback Compression for Massive MIMO Systems.

    Shunpu Tang;Junjuan Xia;Lisheng Fan;Xianfu Lei

  • Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things

    Rui Zhao;Xinjie Wang;Junjuan Xia;Liseng Fan

  • Protecting Secure Communication Under UAV Smart Attack With Imperfect Channel Estimation

    Chao Li;Yan Xu;Junjuan Xia;Junhui Zhao

  • Secure Cache-Aided Multi-Relay Networks in the Presence of Multiple Eavesdroppers

    Junjuan Xia;Lisheng Fan;Wei Xu;Xianfu Lei

  • Profit Maximization for Cache-Enabled Vehicular Mobile Edge Computing Networks

    Unknown

  • Battery-constrained Federated Edge Learning in UAV-enabled IoT for B5G/6G Networks

    Shunpu Tang;Wenqi Zhou;Lunyuan Chen;Lijia Lai

  • Subcarrier allocation based Simultaneous Wireless Information and Power Transfer algorithm in 5G cooperative OFDM communication systems

    Zhenyu Na;Yuyao Wang;Xiaotong Li;Junjuan Xia

  • DQN-based mobile edge computing for smart Internet of vehicle

    Unknown

  • Deep Learning-Based Channel Prediction for Edge Computing Networks Toward Intelligent Connected Vehicles

    Guangqun Liu;Yan Xu;Zongjiang He;Yanyi Rao

  • Physical-layer security based mobile edge computing for emerging cyber physical systems

    Unknown

  • A MIMO Detector With Deep Learning in the Presence of Correlated Interference

    Junjuan Xia;Ke He;Wei Xu;Shengli Zhang

  • Opportunistic Access Point Selection for Mobile Edge Computing Networks

    Junjuan Xia;Lisheng Fan;Nan Yang;Yansha Deng

  • Spectral and Energy Efficiency of Massive MIMO for Hybrid Architectures Based on Phase Shifters

    Weiqiang Tan;Dongqing Xie;Junjuan Xia;Weijie Tan

  • System Optimization of Federated Learning Networks with A Constrained Latency

    Zichao Zhao;Junjuan Xia;Lisheng Fan;Xianfu Lei

  • A Note on Implementation Methodologies of Deep Learning-Based Signal Detection for Conventional MIMO Transmitters

    Junjuan Xia;Dan Deng;David Fan

  • Intelligent secure mobile edge computing for beyond 5G wireless networks

    Shiwei Lai;Rui Zhao;Shunpu Tang;Junjuan Xia

  • Cache-Aided Multiuser Cognitive Relay Networks With Outdated Channel State Information

    Xiazhi Lai;Junjuan Xia;Maobin Tang;Haochuan Zhang

  • Secure probabilistic caching in random multi-user multi-UAV relay networks

    Fang Shi;Junjuan Xia;Zhenyu Na;Xin Liu

  • Probabilistic caching placement in UAV-assisted heterogeneous wireless networks

    Xiaosheng Lin;Junjuan Xia;Zhi Wang

  • Q-Learning Based Physical-Layer Secure Game Against Multiagent Attacks

    Yan Xu;Junjuan Xia;Huijun Wu;Liseng Fan

Frequent Co-Authors

Arumugam Nallanathan
Arumugam Nallanathan Queen Mary University of London
George K. Karagiannidis
George K. Karagiannidis Aristotle University of Thessaloniki
Xianfu Lei
Xianfu Lei Southwest Jiaotong University
Feng Li
Feng Li Shandong University
Chau Yuen
Chau Yuen Nanyang Technological University
Shi Jin
Shi Jin Southeast University
Yansha Deng
Yansha Deng King's College London
Trung Q. Duong
Trung Q. Duong Memorial University of Newfoundland
Nan Yang
Nan Yang Australian National University
Shengli Zhang
Shengli Zhang Hanshan Normal University

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