Chi‐Wing Fu

21.4k total citations · 10 hit papers
211 papers, 11.2k citations indexed

About

Chi‐Wing Fu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Chi‐Wing Fu has authored 211 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Computer Vision and Pattern Recognition, 74 papers in Computational Mechanics and 73 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Chi‐Wing Fu's work include 3D Shape Modeling and Analysis (70 papers), Computer Graphics and Visualization Techniques (68 papers) and Advanced Vision and Imaging (39 papers). Chi‐Wing Fu is often cited by papers focused on 3D Shape Modeling and Analysis (70 papers), Computer Graphics and Visualization Techniques (68 papers) and Advanced Vision and Imaging (39 papers). Chi‐Wing Fu collaborates with scholars based in Hong Kong, China and Singapore. Chi‐Wing Fu's co-authors include Pheng‐Ann Heng, Jiaya Jia, Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Li Jiang, Lei Zhu, Xiaowei Hu and Daniel Cohen‐Or and has published in prestigious journals such as The Astrophysical Journal, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Chi‐Wing Fu

202 papers receiving 10.9k citations

Hit Papers

H-DenseUNet: Hybrid Dense... 2018 2026 2020 2023 2018 2019 2019 2020 2022 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
    2018 1.7k citations Xiaojuan Qi, Qi Dou et al. IEEE Transactions on Medical Imaging profile →
  2. Underexposed Photo Enhancement Using Deep Illumination Estimation
    2019 622 citations Ruixing Wang, Chi‐Wing Fu et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
  3. PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
    2019 525 citations Hengshuang Zhao, Li Jiang et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
  4. Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation
    2020 343 citations Chi‐Wing Fu, Pheng‐Ann Heng et al. profile →
  5. SNR-Aware Low-light Image Enhancement
    2022 306 citations Xiaogang Xu, Ruixing Wang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  6. SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
    2021 302 citations Li Jiang, Chi‐Wing Fu et al. profile →
  7. CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
    2019 295 citations Xiaowei Hu, Lei Zhu et al. IEEE Transactions on Medical Imaging profile →
  8. PU-GAN: A Point Cloud Upsampling Adversarial Network
    2019 287 citations Ruihui Li, Xianzhi Li et al. profile →
  9. PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
    2020 274 citations Li Jiang, Hengshuang Zhao et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
  10. CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
    2021 209 citations Li Jiang, Chi‐Wing Fu et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chi‐Wing Fu 6.8k 2.5k 1.7k 1.6k 1.5k 211 11.2k
Yuri Boykov 11.2k 1.7× 1.1k 0.4× 1.5k 0.9× 876 0.5× 1.8k 1.2× 67 14.6k
Fisher Yu 7.8k 1.1× 2.0k 0.8× 483 0.3× 893 0.5× 2.6k 1.8× 70 11.1k
Ron Kimmel 10.9k 1.6× 4.4k 1.7× 1.3k 0.8× 2.3k 1.4× 1.1k 0.8× 212 14.7k
Hengshuang Zhao 11.1k 1.6× 2.4k 0.9× 1.5k 0.9× 750 0.5× 4.3k 2.9× 66 18.5k
Ziwei Liu 12.5k 1.8× 3.6k 1.4× 627 0.4× 1.5k 0.9× 5.0k 3.4× 222 19.4k
Jan Kautz 13.4k 2.0× 2.4k 0.9× 711 0.4× 4.1k 2.5× 2.2k 1.5× 234 17.2k
Thomas Brox 10.7k 1.6× 1.5k 0.6× 836 0.5× 658 0.4× 2.4k 1.6× 155 13.9k
Michael Kass 11.1k 1.6× 3.1k 1.2× 2.0k 1.2× 2.6k 1.5× 1.5k 1.0× 35 16.0k
Vladimir Kolmogorov 11.4k 1.7× 968 0.4× 843 0.5× 875 0.5× 1.9k 1.3× 50 14.6k
Antonio Criminisi 10.2k 1.5× 585 0.2× 962 0.6× 1.1k 0.6× 1.9k 1.3× 153 13.6k

Countries citing papers authored by Chi‐Wing Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Wing Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi‐Wing Fu. 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 Chi‐Wing Fu. The network helps show where Chi‐Wing Fu may publish in the future.

Co-authorship network of co-authors of Chi‐Wing Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Wing Fu. A scholar is included among the top collaborators of Chi‐Wing Fu 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 Chi‐Wing Fu. Chi‐Wing Fu 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.
Xing, Jinbo, Cusuh Ham, Jiahui Huang, et al.. (2025). MotionCanvas: Cinematic Shot Design with Controllable Image-to-Video Generation. Monash University Research Portal (Monash University). 1–11. 1 indexed citations
2.
Cao, Rui, et al.. (2024). Uncertainty-Aware Suction Grasping for Cluttered Scenes. IEEE Robotics and Automation Letters. 9(6). 4934–4941. 2 indexed citations
3.
Liu, Zhengzhe, Xiaojuan Qi, & Chi‐Wing Fu. (2024). You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding. 2. 1 indexed citations
4.
Fu, Chi‐Wing, et al.. (2024). Learn to Create Simple LEGO Micro Buildings. ACM Transactions on Graphics. 43(6). 1–13. 1 indexed citations
5.
Liu, Zhengzhe, Jianming Zhang, Haitian Zheng, et al.. (2024). Object-level Scene Deocclusion. 1–11.
6.
Chen, Xin, Yunhai Wang, Han Bao, et al.. (2024). Visualization-Driven Illumination for Density Plots. IEEE Transactions on Visualization and Computer Graphics. 31(2). 1631–1644. 1 indexed citations
7.
8.
Wang, Yunhai, Xin Chen, Yue Zhao, et al.. (2023). OM3: An Ordered Multi-level Min-Max Representation for Interactive Progressive Visualization of Time Series. Proceedings of the ACM on Management of Data. 1(2). 1–24. 6 indexed citations
9.
Xu, Xiaogang, Ruixing Wang, Chi‐Wing Fu, & Jiaya Jia. (2022). SNR-Aware Low-light Image Enhancement. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17693–17703. 306 indexed citations breakdown →
10.
Li, Xianzhi, Rui Cao, Yidan Feng, et al.. (2022). A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking. IEEE Robotics and Automation Letters. 7(2). 3961–3968. 34 indexed citations
11.
Bai, Hualong, Shengdong Zhao, Chi‐Wing Fu, et al.. (2022). Kine-Appendage: Enhancing Freehand VR Interaction Through Transformations of Virtual Appendages. IEEE Transactions on Visualization and Computer Graphics. 30(7). 3298–3313. 8 indexed citations
12.
Li, Ruihui, et al.. (2022). CAFI-AR. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 6(4). 1–23. 4 indexed citations
13.
Li, Ruihui, Xianzhi Li, Tien‐Tsin Wong, & Chi‐Wing Fu. (2022). Point Set Self-Embedding. IEEE Transactions on Visualization and Computer Graphics. 29(7). 3226–3237. 1 indexed citations
14.
Jiang, Li, Shaoshuai Shi, Zhuotao Tian, et al.. (2021). Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6403–6412. 92 indexed citations
15.
Wang, Ruixing, Xiaogang Xu, Chi‐Wing Fu, et al.. (2021). Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset with Mechatronic Alignment. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 9680–9689. 67 indexed citations
16.
Jiang, Li, Hengshuang Zhao, Shaoshuai Shi, et al.. (2020). PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4866–4875. 274 indexed citations breakdown →
17.
Hu, Xiaowei, et al.. (2020). ψ-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure Segmentation. IEEE Transactions on Medical Imaging. 39(9). 2806–2817. 23 indexed citations
18.
Li, Ruihui, Xianzhi Li, Chi‐Wing Fu, Daniel Cohen‐Or, & Pheng‐Ann Heng. (2019). PU-GAN: A Point Cloud Upsampling Adversarial Network. 7202–7211. 287 indexed citations breakdown →
19.
Zhu, Lei, Jiaxing Chen, Xiaowei Hu, et al.. (2019). Aggregating Attentional Dilated Features for Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 30(10). 3358–3371. 55 indexed citations
20.
Hu, Xiaowei, Chi‐Wing Fu, Lei Zhu, Jing Qin, & Pheng‐Ann Heng. (2019). Direction-Aware Spatial Context Features for Shadow Detection and Removal. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(11). 2795–2808. 169 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yuri Boykov Breakdown of academic impact, for papers by Fisher Yu Breakdown of academic impact, for papers by Ron Kimmel Breakdown of academic impact, for papers by Hengshuang Zhao Breakdown of academic impact, for papers by Ziwei Liu Breakdown of academic impact, for papers by Jan Kautz Breakdown of academic impact, for papers by Thomas Brox Breakdown of academic impact, for papers by Michael Kass Breakdown of academic impact, for papers by Vladimir Kolmogorov Breakdown of academic impact, for papers by Antonio Criminisi
Rankless by CCL
2026