World's Best Scientists 2026 revealed!
Jianping Shi

Jianping Shi

D-Index & Metrics

Computer Science

D-Index
58
Citations
51662
World Ranking
3512
National Ranking
473

Jianping 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 Jianping 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: 114 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Jianping 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 Jianping 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Jianping Shi is affiliated with SenseTime in China and has a significant research presence in the fields of Engineering and Materials Science. Their work encompasses a variety of specialized subfields, including Biomedical Engineering, Mechanical Engineering, Automotive Engineering, Electrical and Electronic Engineering, and Materials Chemistry.

The scientist's research topics cover a diverse range of areas, prominently featuring:

  • Additive Manufacturing and 3D Printing Technologies
  • 3D Printing in Biomedical Research
  • Bone Tissue Engineering Materials
  • Heat Transfer and Optimization
  • Advanced Sensor and Energy Harvesting Materials
  • 2D Materials and Applications
  • Flame retardant materials and properties

Jianping Shi has contributed to several recent publications, including the following papers:

  • The recent development of vat photopolymerization: A review, 2021, Additive Manufacturing
  • A review of flexible force sensors for human health monitoring, 2020, Journal of Advanced Research
  • Robotic in situ 3D bio-printing technology for repairing large segmental bone defects, 2020, Journal of Advanced Research
  • Trabecular-like Ti-6Al-4V scaffold for bone repair: A diversified mechanical stimulation environment for bone regeneration, 2022, Composites Part B Engineering
  • 3D Printed Skin-Inspired Flexible Pressure Sensor with Gradient Porous Structure for Tunable High Sensitivity and Wide Linearity Range, 2021, Advanced Materials Technologies

The frequent co-authors contributing alongside Jianping Shi include Wenlai Tang, Jiquan Yang, Na Li, and Huixin Liang.

The most common publication venues for Jianping Shi's work are:

  • SSRN Electronic Journal
  • Journal of Advanced Research
  • arXiv (Cornell University)
  • Chemosphere
  • Advanced Materials

Best Publications

  • Pyramid Scene Parsing Network

    Hengshuang Zhao;Jianping Shi;Xiaojuan Qi;Xiaogang Wang

  • Path Aggregation Network for Instance Segmentation

    Shu Liu;Lu Qi;Haifang Qin;Jianping Shi

  • PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

    Shaoshuai Shi;Chaoxu Guo;Li Jiang;Zhe Wang

  • Hierarchical Saliency Detection

    Qiong Yan;Li Xu;Jianping Shi;Jiaya Jia

  • Libra R-CNN: Towards Balanced Learning for Object Detection

    Jiangmiao Pang;Kai Chen;Jianping Shi;Huajun Feng

  • ICNet for Real-Time Semantic Segmentation on High-Resolution Images

    Hengshuang Zhao;Xiaojuan Qi;Xiaoyong Shen;Jianping Shi

  • Context Encoding for Semantic Segmentation

    Hang Zhang;Kristin Dana;Jianping Shi;Zhongyue Zhang

  • Hybrid Task Cascade for Instance Segmentation

    Kai Chen;Wanli Ouyang;Chen Change Loy;Dahua Lin

  • Abnormal Event Detection at 150 FPS in MATLAB

    Cewu Lu;Jianping Shi;Jiaya Jia

  • GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose

    Zhichao Yin;Jianping Shi

  • PSANet: Point-wise Spatial Attention Network for Scene Parsing

    Hengshuang Zhao;Yi Zhang;Shu Liu;Jianping Shi

  • Spatial as deep: Spatial CNN for traffic scene understanding

    Xingang Pan;Jianping Shi;Ping Luo;Xiaogang Wang

  • From Points to Parts: 3D Object Detection From Point Cloud With Part-Aware and Part-Aggregation Network

    Shaoshuai Shi;Zhe Wang;Jianping Shi;Xiaogang Wang

  • MMDetection: Open MMLab Detection Toolbox and Benchmark.

    Kai Chen;Jiaqi Wang;Jiangmiao Pang;Yuhang Cao

  • Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

    Xingang Pan;Ping Luo;Jianping Shi;Xiaoou Tang

  • PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection

    Unknown

  • Hierarchical Image Saliency Detection on Extended CSSD

    Jianping Shi;Qiong Yan;Li Xu;Jiaya Jia

  • Adaptive Batch Normalization for practical domain adaptation

    Yanghao Li;Naiyan Wang;Jianping Shi;Xiaodi Hou

  • Temporal Pyramid Network for Action Recognition

    Ceyuan Yang;Yinghao Xu;Jianping Shi;Bo Dai

  • Revisiting Batch Normalization For Practical Domain Adaptation

    Yanghao Li;Naiyan Wang;Jianping Shi;Jiaying Liu

  • Understanding and Diagnosing Visual Tracking Systems

    Naiyan Wang;Jianping Shi;Dit-Yan Yeung;Jiaya Jia

Frequent Co-Authors

Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Dahua Lin
Dahua Lin Chinese University of Hong Kong
Ping Luo
Ping Luo University of Hong Kong
Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong
Hongsheng Li
Hongsheng Li Chinese University of Hong Kong
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Bolei Zhou
Bolei Zhou University of California, Los Angeles
Wanli Ouyang
Wanli Ouyang Shanghai AI Lab
Chen Change Loy
Chen Change Loy Nanyang Technological University
Hengshuang Zhao
Hengshuang Zhao University of Hong Kong

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