World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
17690
World Ranking
3367
National Ranking
451

Chuan 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 Chuan 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: 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: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Chuan 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 Chuan Shi 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Chuan Shi is affiliated with the Beijing University of Posts and Telecommunications in China. Their research includes contributions to the field of industrial architecture, with a focus on the preservation and renewal of industrial heritage sites.

Their recent scholarly work includes the paper titled "", published in 2020 in the journal . This publication addresses issues related to the sustainability and modernization of industrial heritage in western Anhui, exploring strategies for maintaining the cultural and functional relevance of these industrial sites.

Chuan Shi has collaborated with other researchers in the field, most notably frequent co-authors Liu Qun and Ding Jie, each collaborating on at least one project. These partnerships indicate active engagement with peers in related areas of research within the domain of industrial architecture.

Their work has appeared primarily in the venue , reflecting a specialized interest and expertise in this area. This journal is known for covering topics pertinent to industrial building design, conservation, and adaptive reuse.

  • "", 2020,

  • Liu Qun
  • Ding Jie

Best Publications

  • Heterogeneous Graph Attention Network

    Xiao Wang;Houye Ji;Chuan Shi;Bai Wang

  • A Survey of Heterogeneous Information Network Analysis

    Chuan Shi;Yitong Li;Jiawei Zhang;Yizhou Sun

  • Heterogeneous Information Network Embedding for Recommendation

    Chuan Shi;Binbin Hu;Wayne Xin Zhao;Philip S. Yu

  • Structural Deep Clustering Network

    Deyu Bo;Xiao Wang;Chuan Shi;Meiqi Zhu

  • AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

    Xiao Wang;Meiqi Zhu;Deyu Bo;Peng Cui

  • Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model

    Binbin Hu;Chuan Shi;Wayne Xin Zhao;Philip S. Yu

  • Beyond Low-frequency Information in Graph Convolutional Networks

    Deyu Bo;Xiao Wang;Chuan Shi;Huawei Shen

  • Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

    Xiao Wang;Nian Liu;Hui Han;Chuan Shi

  • A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

    Xiao Wang;Deyu Bo;Chuan Shi;Shaohua Fan

  • Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation

    Shaohua Fan;Junxiong Zhu;Xiaotian Han;Chuan Shi

  • HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks

    Chuan Shi;Xiangnan Kong;Yue Huang;Philip S. Yu

  • Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification

    Hu Linmei;Tianchi Yang;Chuan Shi;Houye Ji

  • Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks

    Chuan Shi;Zhiqiang Zhang;Ping Luo;Philip S. Yu

  • Heterogeneous Graph Structure Learning for Graph Neural Networks

    Jianan Zhao;Xiao Wang;Chuan Shi;Binbin Hu

  • Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation

    Yuanfu Lu;Yuan Fang;Chuan Shi

  • Graph neural news recommendation with long-term and short-term interest modeling

    Linmei Hu;Chen Li;Chuan Shi;Cheng Yang

  • Multi-objective community detection in complex networks

    Chuan Shi;Zhenyu Yan;Yanan Cai;Bin Wu

  • Adversarial Learning on Heterogeneous Information Networks

    Binbin Hu;Yuan Fang;Chuan Shi

  • One2Multi Graph Autoencoder for Multi-view Graph Clustering

    Shaohua Fan;Xiao Wang;Chuan Shi;Emiao Lu

  • HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification

    Tianchi Yang;Linmei Hu;Chuan Shi;Houye Ji

  • Interpreting and Unifying Graph Neural Networks with An Optimization Framework

    Meiqi Zhu;Xiao Wang;Chuan Shi;Houye Ji

  • Heterogeneous Graph Attention Network.

    Xiao Wang;Houye Ji;Chuan Shi;Bai Wang

Frequent Co-Authors

Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Bin Wu
Bin Wu Beijing University of Posts and Telecommunications
Yanfang Ye
Yanfang Ye University of Notre Dame
Fuzhen Zhuang
Fuzhen Zhuang Beihang University
Peng Cui
Peng Cui Tsinghua University
Xiangnan Kong
Xiangnan Kong Worcester Polytechnic Institute
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
Zhongzhi Shi
Zhongzhi Shi Chinese Academy of Sciences
Wayne Xin Zhao
Wayne Xin Zhao Renmin University of China
Sheng Hua Liu
Sheng Hua Liu Central China Normal University

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