Hsien-Yu Meng

402 citations
4 papers · 223 · 1 hit paper · h-index 3

Impact in

Papers in

Hsien-Yu Meng

4 papers receiving 218 citations

Hsien-Yu Meng's Hit Papers

VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation 2019 · 184 citations
1840+2+4Years since publication50100150

Peers

Hsien-Yu Meng
Comparison fields: 5 of 34
  • Geology 120
  • Computer Graphics and Computer-Aided Design 41
  • Environmental Engineering 107
  • Computational Mechanics 144
  • Computer Vision and Pattern Recognition 71
Replace Yizhak Ben-Shabat with:
Yizhak Ben-Shabat Israel
Amin Zheng Hong Kong
Gusi Te China
Cho-Ying Wu United States
Tung M. Luu South Korea
Xavier Roynard France
Haoxi Ran China
Matthias Niesner Germany
Alireza Javaheri Portugal
Biao Gao China
Hsien-Yu Meng relative to Yizhak Ben-Shabat Israel Yizhak Ben-Shabat's profile →
Citations per field
00.5×1.5×
Yizhak Ben-Shabat · 1×
Citations per year

Countries citing papers authored by Hsien-Yu Meng

Since Specialization
Citations

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

Fields of papers citing papers by Hsien-Yu Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsien-Yu Meng. 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 Hsien-Yu Meng. The network helps show where Hsien-Yu Meng may publish in the future.

Co-authors

The 6 scholars most cited alongside Hsien-Yu Meng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hsien-Yu Meng Line = papers co-authored together Hsien-Yu Meng links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation
Hit paper breakdown →
2019184
2 202032
3 20206
4 20211

About Hsien-Yu Meng

Hsien-Yu Meng is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Geology, Control and Systems Engineering and Signal Processing, having authored 4 papers that have together received 223 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers), 3D Surveying and Cultural Heritage (2 papers), Speech and Audio Processing (1 paper), Music and Audio Processing (1 paper), Speech Recognition and Synthesis (1 paper) and Human Motion and Animation (1 paper). The work is most often cited by research in Geology (120 citations), Computer Graphics and Computer-Aided Design (41 citations), Environmental Engineering (107 citations), Computational Mechanics (144 citations) and Computer Vision and Pattern Recognition (71 citations). Hsien-Yu Meng has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Lin Gao, Yu‐Kun Lai, Dinesh Manocha, Lingxiao Zhang, Leif Kobbelt and Zhenyu Tang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, arXiv (Cornell University) and ORCA Online Research @Cardiff (Cardiff University).

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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