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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

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

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
Xuming He
Xuming He Washington University in St. Louis
Ian Reid
Ian Reid University of Adelaide

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