Liuhao Ge

3.1k total citations · 2 hit papers
10 papers, 1.4k citations indexed

About

Liuhao Ge is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering. According to data from OpenAlex, Liuhao Ge has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Human-Computer Interaction and 6 papers in Control and Systems Engineering. Recurrent topics in Liuhao Ge's work include Hand Gesture Recognition Systems (10 papers), Human Pose and Action Recognition (10 papers) and Robot Manipulation and Learning (6 papers). Liuhao Ge is often cited by papers focused on Hand Gesture Recognition Systems (10 papers), Human Pose and Action Recognition (10 papers) and Robot Manipulation and Learning (6 papers). Liuhao Ge collaborates with scholars based in Singapore, United States and Switzerland. Liuhao Ge's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Cybernetics.

In The Last Decade

Liuhao Ge

10 papers receiving 1.3k citations

Hit Papers

Exploiting Spatial-Temporal Relationships for 3D Pose Est... 2019 2026 2021 2023 2019 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liuhao Ge Singapore 10 1.2k 856 498 187 152 10 1.4k
Oleksandr Sotnychenko Germany 9 1.9k 1.6× 734 0.9× 493 1.0× 333 1.8× 215 1.4× 10 2.1k
Franziska Mueller Germany 11 771 0.7× 514 0.6× 268 0.5× 103 0.6× 68 0.4× 22 993
Srinath Sridhar Germany 3 713 0.6× 278 0.3× 213 0.4× 129 0.7× 88 0.6× 5 846
Srinath Sridhar United States 11 874 0.7× 498 0.6× 245 0.5× 108 0.6× 106 0.7× 35 1.2k
Mohammad Shafiei Iran 4 806 0.7× 186 0.2× 170 0.3× 139 0.7× 84 0.6× 11 956
Dimitrios Tzionas Germany 11 1.1k 0.9× 459 0.5× 549 1.1× 137 0.7× 42 0.3× 21 1.3k
Georgios Pavlakos United States 15 1.7k 1.4× 354 0.4× 365 0.7× 334 1.8× 175 1.2× 27 1.9k
Chris Bregler United States 9 786 0.7× 203 0.2× 168 0.3× 106 0.6× 204 1.3× 14 914
Umar Iqbal United States 11 616 0.5× 177 0.2× 264 0.5× 111 0.6× 94 0.6× 20 755
Hanbyul Joo South Korea 13 1.3k 1.1× 190 0.2× 280 0.6× 158 0.8× 107 0.7× 29 1.6k

Countries citing papers authored by Liuhao Ge

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

10 of 10 papers shown
1.
Cai, Yujun, et al.. (2020). 3D Hand Pose Estimation Using Synthetic Data and Weakly Labeled RGB Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(11). 3739–3753. 36 indexed citations
2.
Tu, Zhigang, et al.. (2019). SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning. 6960–6969. 71 indexed citations
3.
Ge, Liuhao, Zhou Ren, Yuncheng Li, et al.. (2019). 3D Hand Shape and Pose Estimation From a Single RGB Image. 10825–10834. 272 indexed citations breakdown →
4.
Cai, Yujun, Liuhao Ge, Jun Liu, et al.. (2019). Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks. DR-NTU (Nanyang Technological University). 2272–2281. 314 indexed citations breakdown →
5.
Ge, Liuhao, Hui Liang, Junsong Yuan, & Daniël Thalmann. (2018). Real-Time 3D Hand Pose Estimation with 3D Convolutional Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(4). 956–970. 68 indexed citations
6.
Ge, Liuhao, Hui Liang, Junsong Yuan, & Daniël Thalmann. (2018). Robust 3D Hand Pose Estimation From Single Depth Images Using Multi-View CNNs. IEEE Transactions on Image Processing. 27(9). 4422–4436. 56 indexed citations
7.
Ge, Liuhao, Yujun Cai, Junwu Weng, & Junsong Yuan. (2018). Hand PointNet: 3D Hand Pose Estimation Using Point Sets. 8417–8426. 193 indexed citations
8.
Liang, Hui, Junsong Yuan, Jun Lee, Liuhao Ge, & Daniël Thalmann. (2017). Hough Forest With Optimized Leaves for Global Hand Pose Estimation With Arbitrary Postures. IEEE Transactions on Cybernetics. 49(2). 527–541. 18 indexed citations
9.
Ge, Liuhao, Hui Liang, Junsong Yuan, & Daniël Thalmann. (2017). 3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation from Single Depth Images. DR-NTU (Nanyang Technological University). 5679–5688. 181 indexed citations
10.
Ge, Liuhao, Hui Liang, Junsong Yuan, & Daniël Thalmann. (2016). Robust 3D Hand Pose Estimation in Single Depth Images: From Single-View CNN to Multi-View CNNs. 3593–3601. 155 indexed citations

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.

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