Feihu Zhang

2.6k total citations · 1 hit paper
18 papers, 843 citations indexed

About

Feihu Zhang is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Artificial Intelligence. According to data from OpenAlex, Feihu Zhang has authored 18 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Environmental Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Feihu Zhang's work include Advanced Vision and Imaging (6 papers), Remote Sensing and LiDAR Applications (5 papers) and Advanced Image Processing Techniques (4 papers). Feihu Zhang is often cited by papers focused on Advanced Vision and Imaging (6 papers), Remote Sensing and LiDAR Applications (5 papers) and Advanced Image Processing Techniques (4 papers). Feihu Zhang collaborates with scholars based in China, United Kingdom and Germany. Feihu Zhang's co-authors include Philip H. S. Torr, Song Bai, Victor Adrian Prisacariu, Ruigang Yang, Jin Fang, Alois Knoll, Benjamin W. Wah, Oliver J. Woodford, Dingfu Zhou and Feilong Yan and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Industrial Informatics.

In The Last Decade

Feihu Zhang

17 papers receiving 824 citations

Hit Papers

Hypergraph convolution and hypergraph attention 2020 2026 2022 2024 2020 100 200 300 400
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. Hypergraph convolution and hypergraph attention
    2020 427 citations Song Bai, Feihu Zhang et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feihu Zhang China 11 403 275 106 104 101 18 843
Li He China 16 524 1.3× 222 0.8× 44 0.4× 35 0.3× 175 1.7× 92 1.1k
Xuefeng Yan China 19 627 1.6× 114 0.4× 61 0.6× 26 0.3× 146 1.4× 76 1.1k
Changqing Zou China 20 959 2.4× 497 1.8× 62 0.6× 25 0.2× 104 1.0× 63 1.5k
Yuan Yang China 18 202 0.5× 375 1.4× 41 0.4× 33 0.3× 195 1.9× 114 1.3k
Lixin Fan China 17 485 1.2× 398 1.4× 102 1.0× 23 0.2× 150 1.5× 91 969
Da Yang China 15 510 1.3× 111 0.4× 52 0.5× 26 0.3× 60 0.6× 40 833
Matthew J. Rutherford United States 16 306 0.8× 158 0.6× 48 0.5× 148 1.4× 535 5.3× 78 1.3k

Countries citing papers authored by Feihu Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Feihu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feihu Zhang

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

All Works

18 of 18 papers shown
1.
Zhang, Junge, et al.. (2024). NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 7178–7186. 23 indexed citations
2.
Cao, Xun, et al.. (2024). Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer. 121859–121881. 1 indexed citations
3.
4.
Zhang, Feihu, Philip H. S. Torr, René Ranftl, & Stephan R. Richter. (2021). Looking Beyond Single Images for Contrastive Semantic Segmentation Learning. Oxford University Research Archive (ORA) (University of Oxford). 34. 9 indexed citations
5.
Zhang, Feihu, Oliver J. Woodford, Victor Adrian Prisacariu, & Philip H. S. Torr. (2021). Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 10787–10797. 64 indexed citations
6.
Zhang, Feihu, Chenye Guan, Jin Fang, et al.. (2020). Instance Segmentation of LiDAR Point Clouds. Oxford University Research Archive (ORA) (University of Oxford). 9448–9455. 37 indexed citations
7.
Fang, Jin, Dingfu Zhou, Feilong Yan, et al.. (2020). Augmented LiDAR Simulator for Autonomous Driving. IEEE Robotics and Automation Letters. 5(2). 1931–1938. 95 indexed citations
8.
Bai, Song, Feihu Zhang, & Philip H. S. Torr. (2020). Hypergraph convolution and hypergraph attention. Pattern Recognition. 110. 107637–107637. 427 indexed citations breakdown →
9.
Zhang, Feihu, Shibiao Xu, & Xiaopeng Zhang. (2020). High accuracy correspondence field estimation via MST based patch matching. Multimedia Tools and Applications. 79(19-20). 13291–13309. 1 indexed citations
10.
Fang, Jin, Feilong Yan, Feihu Zhang, et al.. (2018). Simulating LIDAR Point Cloud for Autonomous Driving using Real-world Scenes and Traffic Flows.. arXiv (Cornell University). 20 indexed citations
11.
Chen, Long, et al.. (2018). High-Speed Scene Flow on Embedded Commercial Off-the-Shelf Systems. IEEE Transactions on Industrial Informatics. 15(4). 1843–1852. 10 indexed citations
12.
Zhang, Feihu & Benjamin W. Wah. (2017). Fundamental Principles on Learning New Features for Effective Dense Matching. IEEE Transactions on Image Processing. 27(2). 822–836. 34 indexed citations
13.
Zhang, Feihu & Benjamin W. Wah. (2017). Supplementary Meta-Learning: Towards a Dynamic Model for Deep Neural Networks. 41. 4354–4363. 1 indexed citations
14.
André, Daniel, et al.. (2016). Synthetic aperture radar for lane boundary detection in driver assistance systems. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 238–243. 13 indexed citations
15.
Xu, Shibiao, et al.. (2015). PM-PM: PatchMatch With Potts Model for Object Segmentation and Stereo Matching. IEEE Transactions on Image Processing. 24(7). 2182–2196. 37 indexed citations
16.
Dai, Longquan, Feihu Zhang, Xing Mei, & Xiaopeng Zhang. (2014). Fast Minimax Path-Based Joint Depth Interpolation. IEEE Signal Processing Letters. 22(5). 623–627. 5 indexed citations
17.
Zhang, Feihu, et al.. (2014). Vehicle detection based on LiDAR and camera fusion. 1620–1625. 53 indexed citations
18.
Zhang, Feihu, et al.. (2013). A lane marking extraction approach based on Random Finite Set Statistics. 9. 1143–1148. 13 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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