Liuhao Ge
- Computer Vision and Pattern Recognition top 1%
- Human-Computer Interaction top 0.2%
- Control and Systems Engineering top 2%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Co-authors
- Junsong YuanHui LiangDaniël ThalmannYujun CaiJianfei CaiJunwu WengTat‐Jen ChamNadia Magnenat‐Thalmann
- Topics
- Hand Gesture Recognition Systems (10 papers)Human Pose and Action Recognition (10 papers)Robot Manipulation and Learning (6 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Transactions on Cybernetics
- Partner nations
- SingaporeUnited StatesSwitzerland
In The Last Decade
Liuhao Ge
10 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 1.2k
- Human-Computer Interaction 856
- Control and Systems Engineering 498
- Biomedical Engineering 187
- Artificial Intelligence 152
Countries citing papers authored by Liuhao Ge
This map shows the geographic impact of Liuhao Ge'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 Liuhao Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liuhao Ge more than expected).
Fields of papers citing papers by Liuhao Ge
This network shows the impact of papers produced by Liuhao Ge. 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 Liuhao Ge. The network helps show where Liuhao Ge may publish in the future.
Co-authorship network of co-authors of Liuhao Ge
This figure shows the co-authorship network connecting the top 25 collaborators of Liuhao Ge. A scholar is included among the top collaborators of Liuhao Ge based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liuhao Ge. Liuhao Ge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 71 | |
| 3 | 3D Hand Shape and Pose Estimation From a Single RGB Imagebreakdown → | 272 |
| 4 | Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networksbreakdown → | 314 |
| 5 | 68 | |
| 6 | 56 | |
| 7 | 193 | |
| 8 | 18 | |
| 9 | 181 | |
| 10 | 155 |
About Liuhao Ge
Liuhao Ge is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (10 papers), Human Pose and Action Recognition (10 papers) and Robot Manipulation and Learning (6 papers). The work is most often cited by research in Human-Computer Interaction (856 citations), Computer Vision and Pattern Recognition (1.2k citations) and Control and Systems Engineering (498 citations). Liuhao Ge has collaborated with scholars based in Singapore, United States and Switzerland. Frequent co-authors include Junsong Yuan, Hui Liang, Daniël Thalmann, Yujun Cai, Jianfei Cai, Junwu Weng, Tat‐Jen Cham, Nadia Magnenat‐Thalmann, Jun Liu and Zhou Ren. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Cybernetics.
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.