Fuchao Wu

3.4k total citations · 1 hit paper
75 papers, 2.2k citations indexed

About

Fuchao Wu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Fuchao Wu has authored 75 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 28 papers in Aerospace Engineering and 15 papers in Media Technology. Recurrent topics in Fuchao Wu's work include Advanced Vision and Imaging (29 papers), Robotics and Sensor-Based Localization (26 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Fuchao Wu is often cited by papers focused on Advanced Vision and Imaging (29 papers), Robotics and Sensor-Based Localization (26 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Fuchao Wu collaborates with scholars based in China, Hong Kong and Singapore. Fuchao Wu's co-authors include Bin Fan, Zhanyi Hu, Yurun Tian, Hengliang Luo, Yi Yang, Zhiheng Wang, Huarong Xu, Bin Fan, Guanghui Wang and Hung-Tat Tsui and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Fuchao Wu

66 papers receiving 2.1k citations

Hit Papers

L2-Net: Deep Learning of Discriminative Patch Descriptor ... 2017 2026 2020 2023 2017 100 200 300
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. L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space
    2017 377 citations Bin Fan, Fuchao Wu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fuchao Wu China 21 1.9k 979 442 178 144 75 2.2k
Zhanyi Hu China 27 2.3k 1.2× 1.3k 1.4× 427 1.0× 485 2.7× 176 1.2× 162 2.8k
Nabil Aouf United Kingdom 21 1.0k 0.5× 1.4k 1.4× 90 0.2× 134 0.8× 334 2.3× 186 2.2k
Xingyu Jiang China 17 1.7k 0.9× 1.1k 1.1× 655 1.5× 95 0.5× 193 1.3× 36 2.3k
Rafael Grompone von Gioi France 12 1.9k 1.0× 1.1k 1.1× 392 0.9× 448 2.5× 80 0.6× 59 2.5k
Manolis Lourakis Greece 18 1.2k 0.7× 1.1k 1.1× 87 0.2× 540 3.0× 93 0.6× 63 2.1k
Tian Fang China 18 1.6k 0.8× 707 0.7× 176 0.4× 431 2.4× 137 1.0× 71 2.0k
René Ranftl Switzerland 15 1.6k 0.9× 455 0.5× 468 1.1× 165 0.9× 231 1.6× 25 2.3k
David Eigen United States 6 2.0k 1.0× 343 0.4× 665 1.5× 79 0.4× 451 3.1× 9 2.3k
F. Schaffalitzky United Kingdom 8 2.2k 1.2× 1.3k 1.3× 260 0.6× 121 0.7× 117 0.8× 9 2.4k
Agostino Martinelli France 22 1.8k 1.0× 1.9k 2.0× 149 0.3× 376 2.1× 362 2.5× 69 2.9k

Countries citing papers authored by Fuchao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fuchao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuchao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fuchao Wu. A scholar is included among the top collaborators of Fuchao Wu 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 Fuchao Wu. Fuchao Wu 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.
Fan, Bin, et al.. (2022). Seeing Through Darkness: Visual Localization at Night via Weakly Supervised Learning of Domain Invariant Features. IEEE Transactions on Multimedia. 25. 1713–1726. 25 indexed citations
2.
Fan, Bin, Junjie Zhou, Huayan Pu, et al.. (2022). Learning Semantic-Aware Local Features for Long Term Visual Localization. IEEE Transactions on Image Processing. 31. 4842–4855. 22 indexed citations
3.
Yue, Jiguang, et al.. (2022). A surrogate-assisted multi-objective optimization method for preliminary design of horizontal tail control system. 2022 34th Chinese Control and Decision Conference (CCDC). 28. 2989–2994.
4.
Fan, Bin, et al.. (2017). Multiple Cayley-Klein metric learning. PLoS ONE. 12(9). e0184865–e0184865. 1 indexed citations
5.
Wu, Fuchao, Ming Zhang, Guanghui Wang, & Zhanyi Hu. (2015). Algebraic Error Based Triangulation and Metric of Lines. PLoS ONE. 10(7). e0132354–e0132354.
6.
Wang, Zhiheng, Fuchao Wu, & Xuguang Wang. (2014). Corner Detection and Sub-pixel Localization Based on Local Orientation Distribution*.
7.
Comte, G., A-Li Luo, Yongheng Zhao, et al.. (2014). Emission lines properties of the radio-loud quasar LAMOST J1131+3114. Astronomy and Astrophysics. 564. A89–A89. 4 indexed citations
8.
Dong, Qiulei, et al.. (2012). Weighted Similarity-Invariant Linear Algorithm for Camera Calibration With Rotating 1-D Objects. IEEE Transactions on Image Processing. 21(8). 3806–3812. 11 indexed citations
9.
Fan, Bin, Fuchao Wu, & Zhanyi Hu. (2011). Rotationally Invariant Descriptors Using Intensity Order Pooling. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(10). 2031–2045. 118 indexed citations
10.
Tu, Liangping, A-Li Luo, Fuchao Wu, & Yongheng Zhao. (2010). A method of searching for supernova candidates from massive galaxy spectra. Science China Physics Mechanics and Astronomy. 53(10). 1928–1938. 7 indexed citations
11.
Wang, Zhiheng, Hongmin Liu, & Fuchao Wu. (2009). HLD: A robust descriptor for line matching. 128–133. 11 indexed citations
12.
Li, Xiangru, et al.. (2007). [Celestial spectrum flux standardization for classification].. PubMed. 27(7). 1448–51. 3 indexed citations
13.
Wu, Chao, et al.. (2007). Automated Spectral Classification of Broad-line and Narrow-line Active Galactic Nuclei Based on the K-nearest Neighbor Method. Chinese Astronomy and Astrophysics. 31(4). 352–362. 2 indexed citations
14.
Xu, Xin, et al.. (2006). [Spectra classification based on generalized discriminant analysis].. PubMed. 26(10). 1960–4. 3 indexed citations
15.
Wu, Yihong, Xinju Li, Fuchao Wu, & Zhanyi Hu. (2006). Coplanar circles, quasi-affine invariance and calibration. Image and Vision Computing. 24(4). 319–326. 29 indexed citations
16.
Wang, Guanghui, et al.. (2006). Euclidean reconstruction of a circular truncated cone only from its uncalibrated contours. Image and Vision Computing. 24(8). 810–818. 6 indexed citations
17.
Wang, Guanghui, Zhanyi Hu, & Fuchao Wu. (2004). Single view based measurement on space planes. Journal of Computer Science and Technology. 19(3). 374–382. 11 indexed citations
18.
Wang, Guanghui, Fuchao Wu, & Zhanyi Hu. (2002). Novel approach to circular-points-based camera calibration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4875. 830–830. 6 indexed citations
19.
Yuan, Bo, et al.. (1998). <title>Image interpolation correspondence with viewpoint</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3545. 304–308.
20.
Zhang, Ling, et al.. (1994). A Forward-Propagation Learning Algorithm of Multilayered Feedforward Neural Networks. International Conference on Neural Information Processing. 3(1). 597–602.

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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