Weiyue Wang

3.2k citations
24 papers · 1.4k · 2 hit papers · h-index 13

Impact in

Papers in

Weiyue Wang

23 papers receiving 1.3k citations

Weiyue Wang's Hit Papers

Recurrent Slice Networks for 3D Segmentation of Point Clouds 2018 · 339 citations
3390+2+5Years since publication100200300

Peers

Weiyue Wang
Comparison fields: 5 of 90
  • Geology 508
  • Computer Graphics and Computer-Aided Design 198
  • Computational Mechanics 656
  • Computer Vision and Pattern Recognition 636
  • Environmental Engineering 367
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Citations per field
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Citations per year

Countries citing papers authored by Weiyue Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weiyue Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weiyue Wang. 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 Weiyue Wang. The network helps show where Weiyue Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Weiyue Wang, 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 Weiyue Wang Line = papers co-authored together Weiyue Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
Hit paper breakdown →
2018343
2
Recurrent Slice Networks for 3D Segmentation of Point Clouds
Hit paper breakdown →
2018339
3 2021113
4 2017106
5 2021103
6 201960
7 202051
8 201651
9 202150
10 202138
11 202035
12 202414
13 201712
14 202411
15 20229
16 20208
17 20247
18 20207
19 20244
20 20172

About Weiyue Wang

Weiyue Wang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Computer Graphics and Computer-Aided Design and Molecular Biology, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (5 papers), 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (3 papers), 3D Surveying and Cultural Heritage (2 papers), Catalytic Processes in Materials Science (2 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Geology (508 citations), Computer Graphics and Computer-Aided Design (198 citations), Computational Mechanics (656 citations), Computer Vision and Pattern Recognition (636 citations) and Environmental Engineering (367 citations). Weiyue Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ulrich Neumann, Qiangui Huang, Ronald Yu, Dragomir Anguelov, Suya You, Qiangeng Xu, Yin Zhou, Charles R. Qi, Chao Yang and Pei Sun. Their work appears in journals such as Environmental Pollution, Land Degradation and Development, Aerobiologia, New Journal of Chemistry 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.

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