Zujun Hou

1.5k total citations
59 papers, 1.1k citations indexed

About

Zujun Hou is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Zujun Hou has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 27 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Signal Processing. Recurrent topics in Zujun Hou's work include MRI in cancer diagnosis (19 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Medical Image Segmentation Techniques (11 papers). Zujun Hou is often cited by papers focused on MRI in cancer diagnosis (19 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Medical Image Segmentation Techniques (11 papers). Zujun Hou collaborates with scholars based in Singapore, China and Thailand. Zujun Hou's co-authors include Qingmao Hu, Wiesław L. Nowinski, Tong San Koh, Wei‐Yun Yau, Xinguo Ming, Yuanju Qu, Xianyu Zhang, Yeng Chai Soh, Vutipong Areekul and Zhihan Yan and has published in prestigious journals such as IEEE Transactions on Image Processing, Magnetic Resonance in Medicine and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Zujun Hou

52 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zujun Hou Singapore 16 486 304 157 152 102 59 1.1k
Yambem Jina Chanu India 8 438 0.9× 155 0.5× 48 0.3× 137 0.9× 41 0.4× 21 1.0k
Nameirakpam Dhanachandra India 5 404 0.8× 130 0.4× 48 0.3× 137 0.9× 24 0.2× 5 923
Xiaoguang Li China 16 404 0.8× 115 0.4× 27 0.2× 110 0.7× 47 0.5× 120 899
Yichen Zhou China 9 512 1.1× 79 0.3× 48 0.3× 138 0.9× 85 0.8× 31 1.0k
Jun Shi China 17 526 1.1× 197 0.6× 114 0.7× 218 1.4× 14 0.1× 114 1.2k
Guanghui Yue China 19 517 1.1× 241 0.8× 40 0.3× 190 1.3× 20 0.2× 87 1.0k
Ki‐Ryong Kwon South Korea 18 870 1.8× 140 0.5× 50 0.3× 73 0.5× 90 0.9× 170 1.4k
Abbas Cheddad Sweden 17 1.6k 3.3× 101 0.3× 57 0.4× 114 0.8× 103 1.0× 66 2.2k

Countries citing papers authored by Zujun Hou

Since Specialization
Citations

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

Fields of papers citing papers by Zujun Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zujun Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Zujun Hou. A scholar is included among the top collaborators of Zujun Hou 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 Zujun Hou. Zujun Hou 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.
Ye, Zhijun, Shujian Li, Zhihan Yan, et al.. (2024). A multicenter study of cervical cancer using quantitative diffusion-weighted imaging. Acta Radiologica. 65(7). 851–859.
2.
Zhang, Hongjiang, Jing Yang, Kunhua Wu, et al.. (2024). Comparison of tracer kinetic models in differentiating malignant from normal prostate tissue using dynamic contrast-enhanced MRI. Frontiers in Oncology. 14. 1450388–1450388.
3.
Gan, Meng, et al.. (2024). Noninvasive assessment of single kidney glomerular filtration rate using multiple diffusion weighted imaging models. Abdominal Radiology. 50(1). 336–345. 1 indexed citations
4.
Zhao, Kai, Guohua Zhao, Yu Zhang, et al.. (2024). Distributed parameter model of dynamic contrast-enhanced MRI in the identification of IDH mutation, 1p19q codeletion, and tumor cell proliferation in glioma patients. Frontiers in Oncology. 14. 1333798–1333798. 3 indexed citations
5.
He, Jie, et al.. (2023). Combined estimation of B1 and T1 for dynamic contrast-enhanced MRI by accounting for incomplete spoiling of transverse magnetization. Biomedical Physics & Engineering Express. 9(3). 37002–37002.
6.
7.
8.
Wang, Xue, Jiao Song, Yi Lü, et al.. (2021). A comparative study of methods for determining Intravoxel incoherent motion parameters in cervix cancer. Cancer Imaging. 21(1). 12–12. 8 indexed citations
9.
Wang, Xue, Meng Gan, Lan Li, et al.. (2021). MRI-based radiomics model for distinguishing endometrial carcinoma from benign mimics: A multicenter study. European Journal of Radiology. 146. 110072–110072. 17 indexed citations
10.
Mao, Yiting, Jiao Song, Yi Lü, et al.. (2019). A Comparative Study of Two-Compartment Exchange Models for Dynamic Contrast-Enhanced MRI in Characterizing Uterine Cervical Carcinoma. Contrast Media & Molecular Imaging. 2019. 1–13. 8 indexed citations
11.
Hou, Zujun, et al.. (2014). Automatic region-of-interest segmentation and registration of dynamic contrast-enhanced images of colorectal tumors. Physics in Medicine and Biology. 59(23). 7361–7381. 2 indexed citations
12.
Wang, Z., et al.. (2012). Antitumor effects of bladder cancer-specific adenovirus carrying E1A-androgen receptor in bladder cancer. Gene Therapy. 19(11). 1065–1074. 18 indexed citations
13.
Wang, Yue, et al.. (2011). Real-Time Video Stabilization for Unmanned Aerial Vehicles. Machine Vision and Applications. 336–339. 18 indexed citations
14.
Koh, Tong San, et al.. (2011). Issues of discontinuity in the impulse residue function for deconvolution analysis of dynamic contrast‐enhanced MRI data. Magnetic Resonance in Medicine. 66(3). 886–892. 20 indexed citations
15.
Yau, Wei‐Yun, et al.. (2010). Enhancing IPTV personalization. 4. 71–74.
16.
Hou, Zujun & Wei‐Yun Yau. (2010). Relative gradients for image lighting correction. 1374–1377. 8 indexed citations
17.
Hou, Zujun, Su Huang, Qingmao Hu, & Wiesław L. Nowinski. (2006). A Fast and Automatic Method to Correct Intensity Inhomogeneity in MR Brain Images. Lecture notes in computer science. 9(Pt 2). 324–331. 14 indexed citations
18.
Hou, Zujun. (2006). A Review on MR Image Intensity Inhomogeneity Correction. International Journal of Biomedical Imaging. 2006(1). 49515–49515. 138 indexed citations
19.
Hou, Zujun & Tong San Koh. (2005). Wavelet Shrinkage Prefiltering for Brain Tissue Segmentation. PubMed. 8. 1604–1606. 1 indexed citations
20.
Koh, Tong San, et al.. (2003). A physiologic model of capillary-tissue exchange for dynamic contrast-enhanced imaging of tumor microcirculation. IEEE Transactions on Biomedical Engineering. 50(2). 159–167. 59 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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