Shangping Zhong

608 total citations
54 papers, 423 citations indexed

About

Shangping Zhong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shangping Zhong has authored 54 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Shangping Zhong's work include Advanced Steganography and Watermarking Techniques (20 papers), Digital Media Forensic Detection (15 papers) and Chaos-based Image/Signal Encryption (7 papers). Shangping Zhong is often cited by papers focused on Advanced Steganography and Watermarking Techniques (20 papers), Digital Media Forensic Detection (15 papers) and Chaos-based Image/Signal Encryption (7 papers). Shangping Zhong collaborates with scholars based in China, Singapore and United States. Shangping Zhong's co-authors include Kaizhi Chen, Yang Yang, Ximeng Liu, Robert H. Deng, Xueqi Cheng, Xianghan Zheng, Victor Chang, Yuzhen Niu, Jing Li and Danping Wu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Pattern Recognition.

In The Last Decade

Shangping Zhong

50 papers receiving 409 citations

Peers

Shangping Zhong
Shangping Zhong
Citations per year, relative to Shangping Zhong Shangping Zhong (= 1×) peers Balasubramanian Prabhu Kavin

Countries citing papers authored by Shangping Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Shangping Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangping Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Shangping Zhong. A scholar is included among the top collaborators of Shangping 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 Shangping Zhong. Shangping Zhong 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
2.
Zhong, Shangping, et al.. (2024). W-WaveNet: A multi-site water quality prediction model incorporating adaptive graph convolution and CNN-LSTM. PLoS ONE. 19(3). e0276155–e0276155. 10 indexed citations
3.
Chen, Kaizhi, et al.. (2023). Coronary heart disease prediction method fusing domain-adaptive transfer learning with graph convolutional networks (GCN). Scientific Reports. 13(1). 14276–14276. 7 indexed citations
5.
Zhong, Shangping, et al.. (2022). Multi-source data fusion for insider threat detection using residual networks. 359–366. 2 indexed citations
6.
Zhong, Shangping, et al.. (2021). A Method with Pre-trained Word Vectors for Detecting Wordlist-based Malicious Domain Names. Journal of Physics Conference Series. 1757(1). 12171–12171. 2 indexed citations
7.
Yang, Yang, et al.. (2019). Chinese Multi-Keyword Fuzzy Rank Search over Encrypted Cloud Data based on Locality-Sensitive Hashing.. Journal of information science and engineering. 35. 137–158. 7 indexed citations
8.
Zhong, Shangping, et al.. (2018). A novel steganalysis method with deep learning for different texture complexity images. Multimedia Tools and Applications. 78(7). 8017–8039. 7 indexed citations
9.
Zhong, Shangping, et al.. (2016). A novel method of stone surface texture image recognition. 36. 146–150. 1 indexed citations
10.
Zhong, Shangping, et al.. (2015). A novel chicken voice recognition method using the orthogonal matching pursuit algorithm. 1266–1271. 5 indexed citations
11.
Zhong, Shangping, et al.. (2015). A Classifier Ensemble Algorithm Based on Improved RSM for High Dimensional Steganalysis.. J. Inf. Hiding Multim. Signal Process.. 6. 198–210. 1 indexed citations
12.
Chen, Kaizhi, et al.. (2015). A parallel SRM feature extraction algorithm for steganalysis based on GPU architecture. Computer Science and Information Systems. 12(4). 1345–1359. 2 indexed citations
14.
Zhong, Shangping, et al.. (2014). Steganalysis Against Equivalent Transformation Based Steganographic Algorithm for PDF Files.
15.
Zhong, Shangping, et al.. (2014). Fast Gaussian kernel learning for classification tasks based on specially structured global optimization. Neural Networks. 57. 51–62. 30 indexed citations
16.
Zhong, Shangping, et al.. (2013). Optimizing the Gaussian kernel function with the formulated kernel target alignment criterion for two-class pattern classification. Pattern Recognition. 46(7). 2045–2054. 30 indexed citations
18.
Zhong, Shangping, et al.. (2009). Blind steganalysis method for BMP images based on statistical MWCF and F-score method. 5. 442–447. 6 indexed citations
19.
Zhong, Shangping, et al.. (2007). Data Hiding in a Kind of PDF Texts for Secret Communication. International journal of network security. 4. 17–26. 28 indexed citations
20.
Zhong, Shangping, et al.. (2006). Information Steganography Algorithm Based on PDF Documents. Jisuanji gongcheng. 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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