Qingyong Hu
- Geology top 0.05%
- 3D Surveying and Cultural Heritage 15
- Environmental Engineering top 0.5%
- Remote Sensing and LiDAR Applications 8
- Computational Mechanics top 0.5%
- 3D Shape Modeling and Analysis 17
-
- Video Surveillance and Tracking Methods 10
- Advanced Neural Network Applications 8
- Advanced Image and Video Retrieval Techniques 6
- Human Pose and Action Recognition 5
-
- Robotics and Sensor-Based Localization 8
- Co-authors
- Yulan GuoAndrew MarkhamBo YangHao LiuHanyun WangMohammed BennamounLi LiuNiki Trigoni
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (5 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Qingyong Hu
41 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Geology 1.9k
- Computer Graphics and Computer-Aided Design 430
- Environmental Engineering 1.7k
- Computational Mechanics 1.9k
- Computer Vision and Pattern Recognition 1.7k
Countries citing papers authored by Qingyong Hu
This map shows the geographic impact of Qingyong Hu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qingyong Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingyong Hu more than expected).
Fields of papers citing papers by Qingyong Hu
This network shows the impact of papers produced by Qingyong Hu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qingyong Hu. The network helps show where Qingyong Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qingyong Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 64 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 15 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 15 | |
| 12 | 2021 | 96 | |
| 13 | 2021 | 21 | |
| 14 | RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Cloudsbreakdown → | 2020 | 1288 |
| 15 | Deep Learning for 3D Point Clouds: A Surveybreakdown → | 2020 | 1394 |
| 16 | 2019 | 21 | |
| 17 | Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds | 2019 | 36 |
| 18 | 2018 | 10 | |
| 19 | 2017 | 22 | |
| 20 | 2017 | 9 |
About Qingyong Hu
Qingyong Hu is a scholar working on Geology, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 43 papers that have together received 4.0k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (17 papers), 3D Surveying and Cultural Heritage (15 papers), Video Surveillance and Tracking Methods (10 papers), Remote Sensing and LiDAR Applications (8 papers), Advanced Neural Network Applications (8 papers), Robotics and Sensor-Based Localization (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Geology (1.9k citations), Computer Graphics and Computer-Aided Design (430 citations) and Environmental Engineering (1.7k citations). Qingyong Hu has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Yulan Guo, Andrew Markham, Bo Yang, Hao Liu, Hanyun Wang, Mohammed Bennamoun, Li Liu, Niki Trigoni, Stefano Rosa and Linhai Xie. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.