World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
5989
World Ranking
9374
National Ranking
1186

Zheng Chang 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 Zheng Chang 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: 269 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Zheng Chang 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 Zheng Chang 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Best Publications

  • Multiobjective Optimization for Computation Offloading in Fog Computing

    Liqing Liu;Zheng Chang;Xijuan Guo;Shiwen Mao

  • Learn to Cache: Machine Learning for Network Edge Caching in the Big Data Era

    Zheng Chang;Lei Lei;Zhenyu Zhou;Shiwen Mao

  • IEEE 802.11ac: Enhancements for very high throughput WLANs

    Unknown

  • Energy-Efficient Industrial Internet of Things: Overview and Open Issues

    Wenliang Mao;Zhiwei Zhao;Zheng Chang;Geyong Min

  • Toward Autonomous Multi-UAV Wireless Network: A Survey of Reinforcement Learning-Based Approaches

    Unknown

  • Energy-Efficient Edge Computing Service Provisioning for Vehicular Networks: A Consensus ADMM Approach

    Zhenyu Zhou;Junhao Feng;Zheng Chang;Xuemin Shen

  • Joint Radio and Computational Resource Allocation in IoT Fog Computing

    Yunan Gu;Zheng Chang;Miao Pan;Lingyang Song

  • Dynamic Resource Allocation and Computation Offloading for IoT Fog Computing System

    Unknown

  • Socially Aware Dynamic Computation Offloading Scheme for Fog Computing System With Energy Harvesting Devices

    Unknown

  • Energy Efficient Optimization for Computation Offloading in Fog Computing System

    Zheng Chang;Zhenyu Zhou;Tapani Ristaniemi;Zhisheng Niu

  • One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG

    Unknown

  • Propagation Channels for mmWave Vehicular Communications: State-of-the-art and Future Research Directions

    Furqan Jameel;Shurjeel Wyne;Syed Junaid Nawaz;Zheng Chang

  • SAGECELL: Software-Defined Space-Air-Ground Integrated Moving Cells

    Zhenyu Zhou;Junhao Feng;Chuntian Zhang;Zheng Chang

  • Adaptive Service Offloading for Revenue Maximization in Mobile Edge Computing With Delay-Constraint

    Unknown

  • BEGIN: Big Data Enabled Energy-Efficient Vehicular Edge Computing

    Zhenyun Zhou;Houjian Yu;Chen Xu;Zheng Chang

  • Energy-Efficient Resource Allocation for Wireless Powered Massive MIMO System With Imperfect CSI

    Zheng Chang;Zhongyu Wang;Xijuan Guo;Zhu Han

  • Learning a convolutional demosaicing network for microgrid polarimeter imagery.

    Junchao Zhang;Jianbo Shao;Haibo Luo;Xiangyue Zhang

  • Social Network-Based Content Delivery in Device-to-Device Underlay Cellular Networks Using Matching Theory

    Chen Xu;Caixia Gao;Zhenyu Zhou;Zheng Chang

  • NOMA-Enabled Backscatter Communications: Toward Battery-Free IoT Networks

    Furqan Jameel;Shah Zeb;Wali Ullah Khan;Syed Ali Hassan

  • Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds

    Zheng Chang;Jie Gong;Yingyu Li;Zhenyu Zhou

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