Shangping Zhong
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Signal Processing
- Co-authors
- Kaizhi ChenYang YangXimeng LiuRobert H. DengXueqi ChengXianghan ZhengVictor ChangYuzhen Niu
- Topics
- Advanced Steganography and Watermarking Techniques (20 papers)Digital Media Forensic Detection (15 papers)Chaos-based Image/Signal Encryption (7 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Shangping Zhong
50 papers receiving 409 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 186
- Information Systems 138
- Computer Vision and Pattern Recognition 132
- Computer Networks and Communications 128
- Signal Processing 42
Countries citing papers authored by Shangping Zhong
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | Chinese Multi-Keyword Fuzzy Rank Search over Encrypted Cloud Data based on Locality-Sensitive Hashing. | 7 |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | A Classifier Ensemble Algorithm Based on Improved RSM for High Dimensional Steganalysis. | 1 |
| 12 | 2 | |
| 13 | 0 | |
| 14 | Steganalysis Against Equivalent Transformation Based Steganographic Algorithm for PDF Files | 0 |
| 15 | 30 | |
| 16 | 30 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | Data Hiding in a Kind of PDF Texts for Secret Communication | 28 |
| 20 | Information Steganography Algorithm Based on PDF Documents | 2 |
About Shangping Zhong
Shangping Zhong is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 54 papers that have together received 423 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (20 papers), Digital Media Forensic Detection (15 papers) and Chaos-based Image/Signal Encryption (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (132 citations), Information Systems (138 citations) and Artificial Intelligence (186 citations). Shangping Zhong has collaborated with scholars based in China, Singapore and United States. Frequent 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. Their work appears in journals such as PLoS ONE, Scientific Reports and Pattern Recognition.
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.