Guocheng Qian

1.5k citations
20 papers · 565 indexed · 1 hit paper · h-index 10

Guocheng Qian

19 papers receiving 552 citations

Hit Papers

PU-GCN: Point Cloud Upsampling using Graph Convolutional ...151202120262022202450100150

Peers

Guocheng Qian
Comparison fields: 5 of 80
  • Computer Graphics and Computer-Aided Design 84
  • Geology 110
  • Computer Vision and Pattern Recognition 258
  • Computational Mechanics 173
  • Environmental Engineering 80
Replace Zizhao Wu with:
Zizhao Wu China
Zhengzhe Liu Hong Kong
Zhongang Cai Singapore
Haggai Maron Israel
Xun Xu Singapore
Stephan R. Richter Germany
Lars Mescheder Germany
Pengfei Wan China
Vincent Casser United States
Guocheng Qian relative to Zizhao Wu China Zizhao Wu's profile →
Citations per field
00.5×
Zizhao Wu · 1×
Citations per year

Countries citing papers authored by Guocheng Qian

Since Specialization
Citations

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

Fields of papers citing papers by Guocheng Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20254
4 20254
5 202421
6 20242
7 20243
8 20246
9 202314
10 20234
11 202310
12 202232
13 20224
14 202213
15 2021130
16
PU-GCN: Point Cloud Upsampling using Graph Convolutional Networksbreakdown →
2021151
17
Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
20211
18 2020122
19
Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution.
201917
20 201925

About Guocheng Qian

Guocheng Qian is a scholar working on Computer Graphics and Computer-Aided Design, Geology, Computer Vision and Pattern Recognition, Instrumentation and Computational Mechanics, having authored 20 papers that have together received 565 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (3 papers), 3D Surveying and Cultural Heritage (3 papers), Image and Signal Denoising Methods (2 papers), Machine Learning in Materials Science (2 papers), Bioinformatics and Genomic Networks (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (84 citations), Geology (110 citations), Computer Vision and Pattern Recognition (258 citations), Computational Mechanics (173 citations) and Environmental Engineering (80 citations). Guocheng Qian has collaborated with scholars based in Saudi Arabia, United States and Canada. Frequent co-authors include Bernard Ghanem, Guohao Li, Ali Thabet, Matthias Müller, Matthias Mueller, Sicheng Chen, Lei Yang, Jinjin Gu, Jimmy Ren and Chao Dong. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Frontiers in Immunology, Advanced Science, Surface and Coatings Technology and arXiv (Cornell 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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