Fangzhou Hong

1.8k citations
20 papers · 874 indexed · 3 hit papers · h-index 11

Fangzhou Hong

19 papers receiving 842 citations

Hit Papers

Cylindrical and Asymmetrical 3D Convolution Networks for ...2021202620222024202120222024100200300

Peers

Fangzhou Hong
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 581
  • Computational Mechanics 333
  • Environmental Engineering 210
  • Aerospace Engineering 183
  • Geology 155
Replace Suat Gedikli with:
Suat Gedikli Germany
Qiangeng Xu United States
Paul Guerrero United States
Ruihui Li China
Haiyu Zhao Singapore
Xumin Yu China
Raoul de Charette France
Qiangui Huang United States
Wentao Yuan United States
Jérémie Papon Germany
Fangzhou Hong relative to Suat Gedikli Germany Suat Gedikli's profile →
Citations per field
00.5×10×15.7×
Suat Gedikli · 1×
Citations per year

Countries citing papers authored by Fangzhou Hong

Since Specialization
Citations

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

Fields of papers citing papers by Fangzhou Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangzhou Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Fangzhou Hong. A scholar is included among the top collaborators of Fangzhou Hong 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 Fangzhou Hong. Fangzhou Hong 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 1
2 0
3 1
4 1
5 2
6 1
7
MotionDiffuse: Text-Driven Human Motion Generation With Diffusion Modelbreakdown →
83
8 15
9 2
10 19
11 30
12 16
13 40
14 8
15
AvatarCLIPbreakdown →
128
16 6
17 78
18
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentationbreakdown →
359
19 64
20 20

About Fangzhou Hong

Fangzhou Hong is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 20 papers that have together received 874 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (12 papers), Human Pose and Action Recognition (8 papers) and Human Motion and Animation (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (111 citations), Computer Vision and Pattern Recognition (581 citations) and Geology (155 citations). Fangzhou Hong has collaborated with scholars based in Singapore, China and Hong Kong. Frequent co-authors include Hongsheng Li, Hui Zhou, Xinge Zhu, Ziwei Liu, Yuexin Ma, Dahua Lin, Liang Pan, Tai Wang, Wei Li and Zhongang Cai. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.

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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