Hang Chu

1.4k citations
21 papers · 675 indexed · 1 hit paper · h-index 13
Topics
3D Shape Modeling and Analysis (6 papers)Video Surveillance and Tracking Methods (5 papers)Manufacturing Process and Optimization (4 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Hang Chu

21 papers receiving 648 citations

Hit Papers

CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation202220262023202420224080120

Peers

Hang Chu
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 388
  • Computational Mechanics 190
  • Computer Graphics and Computer-Aided Design 112
  • Geology 94
  • Artificial Intelligence 89
Replace Ruizhen Hu with:
Ruizhen Hu China
R. R. Martin United Kingdom
Tianjia Shao China
Fangzhou Hong Singapore
Yue Qi China
Siyu Zhu China
Max Schwarz Germany
Yiyi Liao China
Suat Gedikli Germany
Ray Jarvis Australia
Hang Chu relative to Ruizhen Hu China Ruizhen Hu's profile →
Citations per field
00.5×1.7×
Ruizhen Hu · 1×
Citations per year

Countries citing papers authored by Hang Chu

Since Specialization
Citations

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

Fields of papers citing papers by Hang Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Chu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 21
2 1
3 2
4
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generationbreakdown →
130
5 36
6 1
7 81
8 2
9 7
10 35
11 70
12 52
13 8
14 110
15 18
16 15
17 1
18 19
19 42
20 8

About Hang Chu

Hang Chu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Industrial and Manufacturing Engineering, having authored 21 papers that have together received 675 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (6 papers), Video Surveillance and Tracking Methods (5 papers) and Manufacturing Process and Optimization (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (112 citations), Computer Vision and Pattern Recognition (388 citations) and Geology (94 citations). Hang Chu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Joseph G. Lambourne, Chin-Yi Cheng, Sanja Fidler, Aditya Sanghi, Karl D. D. Willis, Ye Wang, Raquel Urtasun, Yewen Pu, Wojciech Matusik and Armando Solar-Lezama. Their work appears in journals such as Molecules, ACM Transactions on Graphics and Journal of Ethnopharmacology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026