Shaojiang Deng
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Signal Processing top 5%
- Co-authors
- Di XiaoYantao LiXiaofeng LiaoGang ZhouLan GaoWei RenJing ChenChunqiang Hu
- Topics
- Chaos-based Image/Signal Encryption (16 papers)Advanced Malware Detection Techniques (12 papers)User Authentication and Security Systems (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Shaojiang Deng
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 632
- Artificial Intelligence 594
- Computer Networks and Communications 439
- Information Systems 370
- Signal Processing 241
Countries citing papers authored by Shaojiang Deng
This map shows the geographic impact of Shaojiang Deng'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 Shaojiang Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaojiang Deng more than expected).
Fields of papers citing papers by Shaojiang Deng
This network shows the impact of papers produced by Shaojiang Deng. 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 Shaojiang Deng. The network helps show where Shaojiang Deng may publish in the future.
Co-authorship network of co-authors of Shaojiang Deng
This figure shows the co-authorship network connecting the top 25 collaborators of Shaojiang Deng. A scholar is included among the top collaborators of Shaojiang Deng 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 Shaojiang Deng. Shaojiang Deng 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 27 | |
| 14 | 32 | |
| 15 | 25 | |
| 16 | 34 | |
| 17 | 31 | |
| 18 | 36 | |
| 19 | 11 | |
| 20 | Cryptanalysis and improvement of a block cryptographic scheme based on logistic map | 0 |
About Shaojiang Deng
Shaojiang Deng is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (16 papers), Advanced Malware Detection Techniques (12 papers) and User Authentication and Security Systems (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (632 citations), Signal Processing (241 citations) and Computer Networks and Communications (439 citations). Shaojiang Deng has collaborated with scholars based in China, United States and France. Frequent co-authors include Di Xiao, Yantao Li, Xiaofeng Liao, Gang Zhou, Xiaofeng Liao, Lan Gao, Wei Ren, Jing Chen, Chunqiang Hu and Huaqing Li. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.
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.