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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
72
Citations
20287
World Ranking
1681
National Ranking
50

Hongdong Li 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 Hongdong Li 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: 298 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Hongdong Li 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 Hongdong Li 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: 72 D-Index — 89th percentile

89% 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 Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Hongdong Li is a researcher affiliated with the Australian National University in Australia. Their research primarily spans the fields of Energy and Engineering, with a focus on subfields including Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Materials Chemistry, Catalysis, and Organic Chemistry.

The scientific work of Hongdong Li covers several key topics, notably:

  • Electrocatalysts for Energy Conversion
  • Advanced battery technologies research
  • Catalytic Processes in Materials Science
  • Ammonia Synthesis and Nitrogen Reduction
  • Advanced Photocatalysis Techniques
  • CO2 Reduction Techniques and Catalysts
  • Nanomaterials for catalytic reactions

Among the frequent collaborators in their research are Lei Wang, Jianping Lai, Zuochao Wang, Dan Zhang, and Weiping Xiao.

Hongdong Li has contributed extensively to several scientific journals. The most common publication venues include:

  • Chemical Engineering Journal
  • arXiv (Cornell University)
  • Advanced Functional Materials
  • Journal of Materials Chemistry A
  • SSRN Electronic Journal

Recent published papers by Hongdong Li include:

  • Fast site-to-site electron transfer of high-entropy alloy nanocatalyst driving redox electrocatalysis (2020), published in Nature Communications
  • Multi-Sites Electrocatalysis in High-Entropy Alloys (2021), published in Advanced Functional Materials
  • The self-complementary effect through strong orbital coupling in ultrathin high-entropy alloy nanowires boosting pH-universal multifunctional electrocatalysis (2022), published in Applied Catalysis B: Environmental

Other notable related publications from collaborators in the field include:

  • Selective photocatalytic oxidation of methane by quantum-sized bismuth vanadate (2021), published in Nature Sustainability
  • Multi-Site Electrocatalysts Boost pH-Universal Nitrogen Reduction by High-Entropy Alloys (2020), published in Advanced Functional Materials

Best Publications

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration

    Jiaolong Yang;Hongdong Li;Dylan Campbell;Yunde Jia

  • Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring

    Hongguang Zhang;Yuchao Dai;Hongdong Li;Piotr Koniusz

  • Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison

    Dongxu Li;Cristian Rodriguez Opazo;Xin Yu;Hongdong Li

  • Go-ICP: Solving 3D Registration Efficiently and Globally Optimally

    Jiaolong Yang;Hongdong Li;Yunde Jia

  • Learning Trajectory Dependencies for Human Motion Prediction

    Wei Mao;Miaomiao Liu;Mathieu Salzmann;Hongdong Li

  • Neural Aggregation Network for Video Face Recognition

    Jiaolong Yang;Peiran Ren;Dongqing Zhang;Dong Chen

  • Deblurring by Realistic Blurring

    Kaihao Zhang;Wenhan Luo;Yiran Zhong;Lin Ma

  • A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization

    Yuchao Dai;Hongdong Li;Mingyi He

  • Deep Subspace Clustering Networks

    Pan Ji;Tong Zhang;Hongdong Li;Mathieu Salzmann

  • Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices

    Sadeep Jayasumana;Richard Hartley;Mathieu Salzmann;Hongdong Li

  • Learning To Estimate Hidden Motions With Global Motion Aggregation

    Shihao Jiang;Dylan Campbell;Yao Lu;Hongdong Li

  • Adversarial Spatio-Temporal Learning for Video Deblurring

    Kaihao Zhang;Wenhan Luo;Yiran Zhong;Lin Ma

  • Five-Point Motion Estimation Made Easy

    Hongdong Li;R. Hartley

  • Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

    Sadeep Jayasumana;Richard Hartley;Mathieu Salzmann;Hongdong Li

  • Lending Orientation to Neural Networks for Cross-View Geo-Localization

    Liu Liu;Hongdong Li

  • UPnP: An optimal O(n) solution to the absolute pose problem with universal applicability

    Laurent Kneip;Hongdong Li;Yongduek Seo

  • The 3D-3D Registration Problem Revisited

    Hongdong Li;R. Hartley

  • Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals

    Gao Zhu;Fatih Porikli;Hongdong Li

  • Multiple views gait recognition using View Transformation Model based on optimized Gait Energy Image

    Worapan Kusakunniran;Qiang Wu;Hongdong Li;Jian Zhang

  • Learning Image Matching by Simply Watching Video

    Gucan Long;Gucan Long;Laurent Kneip;Jose M. Alvarez;Jose M. Alvarez;Hongdong Li

  • Hierarchical Neural Architecture Search for Deep Stereo Matching

    Xuelian Cheng;Yiran Zhong;Mehrtash Harandi;Yuchao Dai

  • Rotation Averaging

    Unknown

Frequent Co-Authors

Richard Hartley
Richard Hartley Australian National University
Yuchao Dai
Yuchao Dai Northwestern Polytechnical University
Mathieu Salzmann
Mathieu Salzmann École Polytechnique Fédérale de Lausanne
Laurent Kneip
Laurent Kneip ShanghaiTech University
Jian Zhang
Jian Zhang University of Technology Sydney
Fatih Porikli
Fatih Porikli Australian National University
Chunhua Shen
Chunhua Shen Zhejiang University
Mehrtash Harandi
Mehrtash Harandi Monash University
Lei Wang
Lei Wang University of Wollongong
Xuming He
Xuming He Washington University in St. Louis

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