Zuofeng Zhong

573 total citations
12 papers, 360 citations indexed

About

Zuofeng Zhong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Zuofeng Zhong has authored 12 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Zuofeng Zhong's work include Video Surveillance and Tracking Methods (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Machine Learning and ELM (3 papers). Zuofeng Zhong is often cited by papers focused on Video Surveillance and Tracking Methods (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Machine Learning and ELM (3 papers). Zuofeng Zhong collaborates with scholars based in China, Hong Kong and Macao. Zuofeng Zhong's co-authors include Yong Xu, Bob Zhang, Jian Yang, David Zhang, Jane You, Lunke Fei, Zheng Zhang, Jie Wen, Guangming Lu and Yong Zhao and has published in prestigious journals such as Medical Physics, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Zuofeng Zhong

12 papers receiving 354 citations

Peers

Zuofeng Zhong

CVPR

CM

AI

MT

SP

Yuanrong Xu China

Wangmeng Zuo China

Chia-Po Wei Taiwan

Phil Sallee United States

Yinfu Feng China

Uma Mudenagudi India

Xiangjun Zhang China

Dong Yin China

I‐Hong Jhuo Taiwan

Yuanrong Xu China

Zuofeng Zhong

240 ×0.8

CVPR

44 ×0.5

CM

95 ×1.1

AI

61 ×0.8

MT

90 ×1.7

SP

Citations per year, relative to Zuofeng Zhong Zuofeng Zhong (= 1×) peers Yuanrong Xu

Countries citing papers authored by Zuofeng Zhong

Since Specialization

Citations

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

Fields of papers citing papers by Zuofeng Zhong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zuofeng Zhong

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Wen, Jie, et al.. (2018). Adaptive Locality Preserving Regression. IEEE Transactions on Circuits and Systems for Video Technology. 30(1). 75–88. 54 indexed citations

2.

Zhong, Zuofeng, Jiajun Wen, Bob Zhang, & Yong Xu. (2018). A general moving detection method using dual-target nonparametric background model. Knowledge-Based Systems. 164. 85–95. 12 indexed citations

3.

Zhang, Zheng, Zuofeng Zhong, Jinrong Cui, & Lunke Fei. (2017). Learning robust latent subspace for discriminative regression. 1–4. 2 indexed citations

4.

Gu, Yifan, et al.. (2017). Enlarging Effective Receptive Field of Convolutional Neural Networks for Better Semantic Segmentation. 388–393. 6 indexed citations

5.

Wen, Jiajun, Zhihui Lai, Zhong Ming, Wai Keung Wong, & Zuofeng Zhong. (2017). Directional Gaussian Model for Automatic Speeding Event Detection. IEEE Transactions on Information Forensics and Security. 12(10). 2292–2307. 3 indexed citations

6.

Zhong, Zuofeng, et al.. (2017). Background modelling using discriminative motion representation. IET Computer Vision. 11(6). 463–470. 6 indexed citations

7.

Xu, Yong, Zuofeng Zhong, Jian Yang, Jane You, & David Zhang. (2016). A New Discriminative Sparse Representation Method for Robust Face Recognition via $l_{2}$ Regularization. IEEE Transactions on Neural Networks and Learning Systems. 28(10). 2233–2242. 142 indexed citations

8.

Fei, Lunke, Jie Wen, Zheng Zhang, Ke Yan, & Zuofeng Zhong. (2016). Local multiple directional pattern of palmprint image. 3013–3018. 22 indexed citations

9.

Zhong, Zuofeng, Bob Zhang, Guangming Lu, Yong Zhao, & Yong Xu. (2016). An Adaptive Background Modeling Method for Foreground Segmentation. IEEE Transactions on Intelligent Transportation Systems. 18(5). 1109–1121. 50 indexed citations

10.

Xu, Yong, Bob Zhang, & Zuofeng Zhong. (2015). Multiple representations and sparse representation for image classification. Pattern Recognition Letters. 68. 9–14. 60 indexed citations

11.

Zhong, Zuofeng, et al.. (2012). SU‐E‐J‐112: A Splatting Method to Generate DRRs for Deformed CT Volume. Medical Physics. 39(6Part7). 3678–3678. 1 indexed citations

12.

Zhong, Zuofeng. (2011). Video object tracking based on SURF features. 2 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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