Fugen Zhou

4.6k total citations · 1 hit paper
179 papers, 3.5k citations indexed

About

Fugen Zhou is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Fugen Zhou has authored 179 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Computer Vision and Pattern Recognition, 53 papers in Aerospace Engineering and 45 papers in Electrical and Electronic Engineering. Recurrent topics in Fugen Zhou's work include Infrared Target Detection Methodologies (38 papers), Advanced Measurement and Detection Methods (30 papers) and Advanced Image Fusion Techniques (25 papers). Fugen Zhou is often cited by papers focused on Infrared Target Detection Methodologies (38 papers), Advanced Measurement and Detection Methods (30 papers) and Advanced Image Fusion Techniques (25 papers). Fugen Zhou collaborates with scholars based in China, United States and Australia. Fugen Zhou's co-authors include Xiangzhi Bai, Bindang Xue, Linyan Cui, Changming Sun, Bo Liu, Yu Zhang, Meng Cai, Xuanang Xu, Zhaoying Liu and Dongshan Fu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Fugen Zhou

170 papers receiving 3.4k citations

Hit Papers

Analysis of new top-hat transformation and the applicatio... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fugen Zhou China 30 1.4k 1.3k 1.2k 921 493 179 3.5k
Xiangzhi Bai China 34 2.1k 1.5× 2.1k 1.6× 2.0k 1.7× 1.2k 1.3× 441 0.9× 197 4.8k
Barbara Zitová Czechia 14 4.1k 2.9× 1.6k 1.2× 1.1k 1.0× 186 0.2× 536 1.1× 54 5.6k
Joaquím Salví Spain 31 3.6k 2.5× 1.5k 1.2× 869 0.7× 747 0.8× 116 0.2× 131 5.3k
Steven S. Beauchemin Canada 15 3.5k 2.5× 654 0.5× 589 0.5× 289 0.3× 289 0.6× 45 4.5k
John J. Soraghan United Kingdom 33 936 0.7× 1.4k 1.0× 303 0.3× 752 0.8× 103 0.2× 304 3.8k
Pratul P. Srinivasan United States 25 5.7k 4.0× 958 0.7× 457 0.4× 180 0.2× 720 1.5× 46 7.8k
Sim Heng Ong Singapore 32 1.9k 1.3× 479 0.4× 407 0.4× 498 0.5× 669 1.4× 174 3.8k
Steven D. Blostein Canada 23 2.0k 1.4× 1.9k 1.4× 200 0.2× 1.7k 1.8× 260 0.5× 198 5.1k
Nahum Kiryati Israel 35 2.8k 2.0× 401 0.3× 754 0.6× 194 0.2× 364 0.7× 115 3.9k
Iuri Frosio Italy 14 1.5k 1.0× 261 0.2× 642 0.6× 244 0.3× 300 0.6× 53 2.5k

Countries citing papers authored by Fugen Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Fugen Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fugen Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Fugen Zhou. A scholar is included among the top collaborators of Fugen Zhou 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 Fugen Zhou. Fugen Zhou 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.
2.
Jin, Shuo, Siyuan Wang, Jianping Zeng, et al.. (2024). A shape-supervised feature fusion U-Net for tubular structure segmentation. Computers & Electrical Engineering. 119. 109522–109522. 2 indexed citations
3.
Liu, Bo, et al.. (2024). Image Intrinsic-Based Unsupervised Monocular Depth Estimation in Endoscopy. IEEE Journal of Biomedical and Health Informatics. 29(12). 9084–9094. 1 indexed citations
4.
Zhu, Miao, et al.. (2024). RT-SRTS: Angle-agnostic real-time simultaneous 3D reconstruction and tumor segmentation from single X-ray projection. Computers in Biology and Medicine. 173. 108390–108390. 1 indexed citations
5.
Li, Zhenyu, Wei Wang, Wenjie Wu, et al.. (2022). Deep learning-based two-step organs at risk auto-segmentation model for brachytherapy planning in parotid gland carcinoma. Journal of Contemporary Brachytherapy. 14(6). 527–535. 3 indexed citations
6.
Meng, Cai, et al.. (2022). Image-based deformation modeling and force estimation of the front end of vascular interventional surgical apparatus. Journal of Image and Graphics. 27(3). 1001–1008.
7.
Zhang, Xile, et al.. (2022). Does radiation therapy need more than two photon energies from Linac?. Frontiers in Oncology. 12. 1009553–1009553.
8.
Ma, Zhengfei, Bo Liu, Fugen Zhou, & Jing‐Heng Chen. (2018). Point Reg Net: Invariant Features for Point Cloud Registration Using in Image-Guided Radiation Therapy. Journal of Computer and Communications. 6(11). 116–125. 2 indexed citations
9.
Xu, Xuanang, Fugen Zhou, & Bo Liu. (2018). Automatic bladder segmentation from CT images using deep CNN and 3D fully connected CRF-RNN. International Journal of Computer Assisted Radiology and Surgery. 13(7). 967–975. 34 indexed citations
10.
Sharma, Gaurav, Fugen Zhou, & Jennifer Liu. (2014). International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition. 9301. 5 indexed citations
11.
Liu, Bo, Justus Adamson, Anna Rodrigues, et al.. (2013). A novel technique for VMAT QA with EPID in cine mode on a Varian TrueBeam linac. Physics in Medicine and Biology. 58(19). 6683–6700. 32 indexed citations
12.
Li, Kai, Hongbin Han, Kai Zhu, et al.. (2013). Real-time magnetic resonance imaging visualization and quantitative assessment of diffusion in the cerebral extracellular space of C6 glioma-bearing rats. Neuroscience Letters. 543. 84–89. 28 indexed citations
13.
Bai, Xiangzhi, Fugen Zhou, & Bindang Xue. (2012). Multiple linear feature detection based on multiple-structuring-element center-surround top-hat transform. Applied Optics. 51(21). 5201–5201. 10 indexed citations
14.
Zhou, Fugen. (2011). Comprehensive Experimental Design of Amplitude Modulation and Demodulation Based on Matlab/Simulink. Research and Exploration in Laboratory. 1 indexed citations
15.
Bai, Xiangzhi, Fugen Zhou, & Bindang Xue. (2011). Fusion of infrared and visual images through region extraction by using multi scale center-surround top-hat transform. Optics Express. 19(9). 8444–8444. 93 indexed citations
16.
Xue, Bindang, et al.. (2011). Generalized modified atmospheric spectral model for optical wave propagating through non-Kolmogorov turbulence. Journal of the Optical Society of America A. 28(5). 912–912. 50 indexed citations
17.
Shi, Zhenwei, Zhiguo Jiang, & Fugen Zhou. (2008). A fixed-point algorithm for blind source separation with nonlinear autocorrelation. Journal of Computational and Applied Mathematics. 223(2). 908–915. 19 indexed citations
18.
Shi, Zhenwei, Zhiguo Jiang, Fugen Zhou, & Jihao Yin. (2008). Blind source separation with nonlinear autocorrelation and non-Gaussianity. Journal of Computational and Applied Mathematics. 229(1). 240–247. 11 indexed citations
19.
Zhou, Fugen. (2004). Approach of hyper-spectrum image compression based on in-frame decorrelation. Infrared and Laser Engineering. 1 indexed citations
20.
Zhou, Fugen. (2003). CALIBRATION ERROR ANALYSIS FOR BINOCULAR STEREO VISION SYSTEM. 1 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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