Fangzhou Hong

1.8k total citations · 3 hit papers
20 papers, 874 citations indexed

About

Fangzhou Hong is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Control and Systems Engineering. According to data from OpenAlex, Fangzhou Hong has authored 20 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 12 papers in Computational Mechanics and 4 papers in Control and Systems Engineering. Recurrent topics in Fangzhou Hong's work include 3D Shape Modeling and Analysis (12 papers), Human Pose and Action Recognition (8 papers) and Human Motion and Animation (4 papers). Fangzhou Hong is often cited by papers focused on 3D Shape Modeling and Analysis (12 papers), Human Pose and Action Recognition (8 papers) and Human Motion and Animation (4 papers). Fangzhou Hong collaborates with scholars based in Singapore, China and Hong Kong. Fangzhou Hong's co-authors include Hongsheng Li, Hui Zhou, Xinge Zhu, Ziwei Liu, Dahua Lin, Yuexin Ma, Tai Wang, Wei Li, Liang Pan and Zhongang Cai and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Fangzhou Hong

19 papers receiving 842 citations

Hit Papers

Cylindrical and Asymmetrical 3D Convolution Networks for ... 2021 2026 2022 2024 2021 2022 2024 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fangzhou Hong Singapore 11 581 333 210 183 155 20 874
Suat Gedikli Germany 7 613 1.1× 226 0.7× 167 0.8× 434 2.4× 264 1.7× 12 954
Paul Guerrero United States 12 479 0.8× 517 1.6× 151 0.7× 75 0.4× 246 1.6× 37 879
Qiangui Huang United States 7 437 0.8× 537 1.6× 311 1.5× 122 0.7× 445 2.9× 9 949
Jérémie Papon Germany 13 472 0.8× 150 0.5× 267 1.3× 321 1.8× 280 1.8× 23 968
Qiangeng Xu United States 7 537 0.9× 328 1.0× 141 0.7× 168 0.9× 187 1.2× 7 771
Ruihui Li China 12 421 0.7× 570 1.7× 170 0.8× 69 0.4× 276 1.8× 27 846
Raoul de Charette France 11 589 1.0× 107 0.3× 107 0.5× 171 0.9× 80 0.5× 23 816
Xumin Yu China 10 438 0.8× 516 1.5× 212 1.0× 80 0.4× 361 2.3× 12 945
Panagiotis Papadakis France 9 471 0.8× 258 0.8× 61 0.3× 223 1.2× 73 0.5× 23 630
Haiyu Zhao Singapore 9 878 1.5× 251 0.8× 82 0.4× 65 0.4× 162 1.0× 14 1.2k

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
1.
Tang, Jiaxiang, Yu Dong, Fangzhou Hong, et al.. (2025). 3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion. 26576–26586. 1 indexed citations
2.
Xie, Haozhe, Zhaoxi Chen, Fangzhou Hong, & Ziwei Liu. (2025). Generative Gaussian Splatting for Unbounded 3D City Generation. 6111–6120.
3.
Hong, Fangzhou, et al.. (2025). EgoLM: Multi-Modal Language Model of Egocentric Motions. 5344–5354. 1 indexed citations
4.
Hong, Fangzhou, Guojin He, Guizhou Wang, Zhaoming Zhang, & Yan Peng. (2025). AuxTransUNet: Enhancing Remote Sensing Image Segmentation of Open-Pit Mining Areas in Qinghai–Tibet Plateau. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 20348–20358. 1 indexed citations
5.
Cao, Ziang, Fangzhou Hong, Tong Wu, Liang Pan, & Ziwei Liu. (2025). DiffTF++: 3D-Aware Diffusion Transformer for Large-Vocabulary 3D Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(4). 3018–3030. 2 indexed citations
6.
Hu, Shoukang, et al.. (2025). HumanLiff: Layer-wise 3D Human Diffusion Model. International Journal of Computer Vision. 133(9). 5938–5957. 1 indexed citations
7.
Zhang, Mingyuan, Zhongang Cai, Liang Pan, et al.. (2024). MotionDiffuse: Text-Driven Human Motion Generation With Diffusion Model. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(6). 4115–4128. 83 indexed citations breakdown →
8.
Xie, Haozhe, Zhaoxi Chen, Fangzhou Hong, & Ziwei Liu. (2024). CityDreamer: Compositional Generative Model of Unbounded 3D Cities. 9666–9675. 15 indexed citations
9.
Hu, Tao, Fangzhou Hong, & Ziwei Liu. (2024). SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering. 6550–6560. 2 indexed citations
10.
Hong, Fangzhou, Lingdong Kong, Hui Zhou, et al.. (2024). Unified 3D and 4D Panoptic Segmentation via Dynamic Shifting Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 3480–3495. 19 indexed citations
11.
Hu, Shoukang, et al.. (2023). SHERF: Generalizable Human NeRF from a Single Image. 9318–9330. 30 indexed citations
12.
Hong, Fangzhou, Guojin He, Guizhou Wang, Zhaoming Zhang, & Yan Peng. (2023). Monitoring of Land Cover and Vegetation Changes in Juhugeng Coal Mining Area Based on Multi-Source Remote Sensing Data. Remote Sensing. 15(13). 3439–3439. 16 indexed citations
13.
Zhang, Mingyuan, Xinying Guo, Liang Pan, et al.. (2023). ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model. 364–373. 40 indexed citations
14.
Zhang, Junzhe, Shuai Yang, Fangzhou Hong, et al.. (2023). DeformToon3d: Deformable Neural Radiance Fields for 3D Toonification. 9110–9120. 8 indexed citations
15.
Hong, Fangzhou, Mingyuan Zhang, Liang Pan, et al.. (2022). AvatarCLIP. ACM Transactions on Graphics. 41(4). 1–19. 128 indexed citations breakdown →
16.
Hong, Fangzhou, Liang Pan, Zhongang Cai, & Ziwei Liu. (2022). Versatile Multi-Modal Pre-Training for Human-Centric Perception. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16135–16145. 6 indexed citations
17.
Zhu, Xinge, Hui Zhou, Tai Wang, et al.. (2021). Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6807–6822. 78 indexed citations
18.
Hong, Fangzhou, Hui Zhou, Xinge Zhu, Hongsheng Li, & Ziwei Liu. (2021). LiDAR-based Panoptic Segmentation via Dynamic Shifting Network. 13085–13094. 64 indexed citations
19.
Zhu, Xinge, Hui Zhou, Tai Wang, et al.. (2021). Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation. 9934–9943. 359 indexed citations breakdown →
20.
Liu, Xinhai, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, & Matthias Zwicker. (2020). LRC-Net: Learning discriminative features on point clouds by encoding local region contexts. Computer Aided Geometric Design. 79. 101859–101859. 20 indexed citations

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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