World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6836
World Ranking
9302
National Ranking
1

Jiangbo Lu 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 Jiangbo Lu 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: 92 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Jiangbo Lu 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 Jiangbo Lu 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.

Overview

Jiangbo Lu is affiliated with SmartMore Corporation in Hong Kong and has a multidisciplinary profile spanning Computer Science, Materials Science, and Engineering. Their research outputs emphasize intersections between advanced imaging techniques and materials chemistry, reflecting a broad expertise across theoretical and applied domains.

Their scientific contributions include a significant number of publications in reputable venues. Frequent publication venues include arXiv (Cornell University) with 30 publications, Advanced Functional Materials and Ceramics International each with 4, SSRN Electronic Journal with 4, and Nature Communications with 3 papers.

The scientist's core research fields cover:

  • Computer Science
  • Materials Science
  • Engineering

The subfields in which they are active include:

  • Computer Vision and Pattern Recognition
  • Materials Chemistry
  • Electrical and Electronic Engineering
  • Biomedical Engineering
  • Molecular Biology

Main topics addressed in their research are:

  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Ferroelectric and Piezoelectric Materials
  • Image and Signal Denoising Methods
  • Microwave Dielectric Ceramics Synthesis
  • Image Processing Techniques and Applications
  • 2D Materials and Applications

Notable recent papers by Jiangbo Lu include:

  • Homotypic clustering of L1 and B1/Alu repeats compartmentalizes the 3D genome, 2021, Cell Research
  • Air-Stable 2D Cr5Te8 Nanosheets with Thickness-Tunable Ferromagnetism, 2021, Advanced Materials
  • Phase separation of RNA-binding protein promotes polymerase binding and transcription, 2021, Nature Chemical Biology
  • Video Frame Interpolation with Transformer, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Unravelling the C C coupling in CO2 photocatalytic reduction with H2O on Au/TiO2-x: Combination of plasmonic excitation and oxygen vacancy, 2021, Applied Catalysis B: Environmental

Frequent co-authors collaborating with Jiangbo Lu include:

  • Wenbo Li
  • Jiaya Jia
  • Nianjuan Jiang
  • Xiaoguang Han
  • Xiaolian Chao

Best Publications

  • Rain Streak Removal Using Layer Priors

    Yu Li;Robby T. Tan;Xiaojie Guo;Jiangbo Lu

  • Cross-Based Local Stereo Matching Using Orthogonal Integral Images

    Ke Zhang;Jiangbo Lu;G. Lafruit

  • Fast global image smoothing based on weighted least squares.

    Dongbo Min;Sunghwan Choi;Jiangbo Lu;Bumsub Ham

  • Depth Video Enhancement Based on Weighted Mode Filtering

    Dongbo Min;Jiangbo Lu;M. N. Do

  • SEAGULL: Seam-Guided Local Alignment for Parallax-Tolerant Image Stitching

    Kaimo Lin;Nianjuan Jiang;Loong-Fah Cheong;Minh N. Do

  • Cross-based local multipoint filtering

    Jiangbo Lu;Keyang Shi;Dongbo Min;Liang Lin

  • Patch Match Filter: Efficient Edge-Aware Filtering Meets Randomized Search for Fast Correspondence Field Estimation

    Jiangbo Lu;Hongsheng Yang;Dongbo Min;Minh N. Do

  • Weakly Supervised Fine-Grained Categorization With Part-Based Image Representation

    Yu Zhang;Xiu-Shen Wei;Jianxin Wu;Jianfei Cai

  • MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution

    Liying Lu;Wenbo Li;Xin Tao;Jiangbo Lu

  • MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution

    Wenbo Li;Xin Tao;Taian Guo;Lu Qi

  • HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation

    Kun Zhou;Xiaoguang Han;Nianjuan Jiang;Kui Jia

  • LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond

    Wenbo Li;Kun Zhou;Lu Qi;Nianjuan Jiang

  • CODE: Coherence Based Decision Boundaries for Feature Correspondence

    Wen-Yan Lin;Fan Wang;Ming-Ming Cheng;Sai-Kit Yeung

  • A revisit to cost aggregation in stereo matching: How far can we reduce its computational redundancy?

    Dongbo Min;Jiangbo Lu;Minh N. Do

  • Video Frame Interpolation with Transformer

    Unknown

  • A revisit to MRF-based depth map super-resolution and enhancement

    Jiangbo Lu;Dongbo Min;Ramanpreet Singh Pahwa;Minh N. Do

  • PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors

    Keyang Shi;Keze Wang;Jiangbo Lu;Liang Lin

  • DAISY Filter Flow: A Generalized Discrete Approach to Dense Correspondences

    Hongsheng Yang;Wen-Yan Lin;Jiangbo Lu

  • PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures With Edge-Preserving Coherence

    Keze Wang;Liang Lin;Jiangbo Lu;Chenglong Li

  • Fast guided global interpolation for depth and motion

    Yu Li;Dongbo Min;Minh N. Do;Jiangbo Lu

  • SPM-BP: Sped-Up PatchMatch Belief Propagation for Continuous MRFs

    Yu Li;Dongbo Min;Michael S. Brown;Minh N. Do

  • An Epipolar Geometry-Based Fast Disparity Estimation Algorithm for Multiview Image and Video Coding

    Jiangbo Lu;Hua Cai;Jian-Guang Lou;Jiang Li

Frequent Co-Authors

Minh N. Do
Minh N. Do University of Illinois at Urbana-Champaign
Dongbo Min
Dongbo Min Ewha Womans University
Kui Jia
Kui Jia South China University of Technology
Xiaoguang Han
Xiaoguang Han Chinese University of Hong Kong
Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Jianfei Cai
Jianfei Cai Monash University
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Liang Lin
Liang Lin Sun Yat-sen University
Junsong Yuan
Junsong Yuan University at Buffalo, State University of New York

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