Yueh-Cheng Liu

524 total citations
7 papers, 223 citations indexed

About

Yueh-Cheng Liu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Mechanics of Materials. According to data from OpenAlex, Yueh-Cheng Liu has authored 7 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 1 paper in Mechanics of Materials. Recurrent topics in Yueh-Cheng Liu's work include Advanced Vision and Imaging (4 papers), 3D Shape Modeling and Analysis (3 papers) and Video Surveillance and Tracking Methods (1 paper). Yueh-Cheng Liu is often cited by papers focused on Advanced Vision and Imaging (4 papers), 3D Shape Modeling and Analysis (3 papers) and Video Surveillance and Tracking Methods (1 paper). Yueh-Cheng Liu collaborates with scholars based in Taiwan and Germany. Yueh-Cheng Liu's co-authors include Winston H. Hsu, Hung-Ting Su, Angela Dai, Matthias Nießner, Yu‐Cheng Chang, Yu-Hsiang Lin, Wen‐Chin Chen, Yu–Kai Huang, Tsung-Han Wu and Hsin-Ying Lee and has published in prestigious journals such as IEEE Transactions on Multimedia, IEEE Robotics and Automation Letters and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Yueh-Cheng Liu

7 papers receiving 214 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yueh-Cheng Liu Taiwan 6 151 61 52 45 42 7 223
Tuan-Hung Vu France 7 205 1.4× 121 2.0× 42 0.8× 50 1.1× 37 0.9× 8 288
Qiguang Miao China 10 153 1.0× 48 0.8× 77 1.5× 86 1.9× 80 1.9× 45 294
Khoi Nguyen United States 6 132 0.9× 32 0.5× 59 1.1× 34 0.8× 30 0.7× 14 180
Mingmin Zhen Hong Kong 5 151 1.0× 59 1.0× 55 1.1× 17 0.4× 21 0.5× 8 204
Maximilian Jaritz France 4 309 2.0× 75 1.2× 99 1.9× 50 1.1× 43 1.0× 4 379
Jason Ramapuram Switzerland 3 157 1.0× 75 1.2× 39 0.8× 21 0.5× 26 0.6× 3 210
Jia Xue United States 6 220 1.5× 56 0.9× 29 0.6× 10 0.2× 26 0.6× 12 326
Huy Tho Ho United States 7 227 1.5× 51 0.8× 34 0.7× 32 0.7× 21 0.5× 10 272
Shangzhan Zhang China 4 164 1.1× 31 0.5× 28 0.5× 37 0.8× 12 0.3× 9 240
Suryansh Kumar United States 11 248 1.6× 23 0.4× 105 2.0× 50 1.1× 46 1.1× 25 311

Countries citing papers authored by Yueh-Cheng Liu

Since Specialization
Citations

This map shows the geographic impact of Yueh-Cheng Liu'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 Yueh-Cheng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yueh-Cheng Liu more than expected).

Fields of papers citing papers by Yueh-Cheng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yueh-Cheng Liu. 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 Yueh-Cheng Liu. The network helps show where Yueh-Cheng Liu may publish in the future.

Co-authorship network of co-authors of Yueh-Cheng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yueh-Cheng Liu. A scholar is included among the top collaborators of Yueh-Cheng Liu 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 Yueh-Cheng Liu. Yueh-Cheng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Liu, Yueh-Cheng, et al.. (2023). ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes. 12–22. 64 indexed citations
2.
Liu, Yueh-Cheng, et al.. (2022). 360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation. IEEE Robotics and Automation Letters. 7(3). 6503–6510. 8 indexed citations
3.
Liu, Yueh-Cheng, et al.. (2021). Learning from 2D: Pixel-to-Point Knowledge Transfer for 3D Pretraining.. arXiv (Cornell University). 10 indexed citations
4.
Liu, Yueh-Cheng, Hung-Ting Su, Yu‐Cheng Chang, et al.. (2021). Dual-Awareness Attention for Few-Shot Object Detection. IEEE Transactions on Multimedia. 25. 291–301. 81 indexed citations
5.
Wu, Tsung-Han, Yueh-Cheng Liu, Yu–Kai Huang, et al.. (2021). ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15490–15499. 44 indexed citations
6.
Huang, Yu–Kai, Yueh-Cheng Liu, Tsung-Han Wu, et al.. (2021). S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation. 16701–16711. 15 indexed citations
7.
Chen, Chun‐Ta & Yueh-Cheng Liu. (2001). A Thermoelastic Analysis of a Steady-State Sliding Contact for Nonconforming Bodies. 10(1). 69–76. 1 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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