Xinxin Niu
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Computer Networks and Communications top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Computer Vision and Pattern Recognition top 2%
- Topics
- Advanced Steganography and Watermarking Techniques (51 papers)Cryptography and Data Security (35 papers)Chaos-based Image/Signal Encryption (31 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Xinxin Niu
193 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 1.6k
- Information Systems 920
- Computer Networks and Communications 877
- Atomic and Molecular Physics, and Optics 652
- Computer Vision and Pattern Recognition 554
Countries citing papers authored by Xinxin Niu
This map shows the geographic impact of Xinxin Niu'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 Xinxin Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinxin Niu more than expected).
Fields of papers citing papers by Xinxin Niu
This network shows the impact of papers produced by Xinxin Niu. 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 Xinxin Niu. The network helps show where Xinxin Niu may publish in the future.
Co-authorship network of co-authors of Xinxin Niu
This figure shows the co-authorship network connecting the top 25 collaborators of Xinxin Niu. A scholar is included among the top collaborators of Xinxin Niu 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 Xinxin Niu. Xinxin Niu 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 | 3 | |
| 5 | 75 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 21 | |
| 11 | 1 | |
| 12 | Provable secure mutual authentication protocol for RFID in the standard model | 3 |
| 13 | Routing lookup algorithm based on parallel BP neural network | 1 |
| 14 | Study on Electronic Signature Technology based on Combined Public Key | 2 |
| 15 | Reversible Watermark Algorithm for Large-capacity Vector Map | 1 |
| 16 | Steganalysis of LSB matching based on regional correlation | 0 |
| 17 | An Improved Combination Rule of Conflict Evidence | 1 |
| 18 | Trusted digital rights management protocol supporting for time and space constraint | 7 |
| 19 | 38 | |
| 20 | AERA Algorithm on Speech Hiding System | 1 |
About Xinxin Niu
Xinxin Niu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 219 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (51 papers), Cryptography and Data Security (35 papers) and Chaos-based Image/Signal Encryption (31 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Information Systems (920 citations) and Computer Networks and Communications (877 citations). Xinxin Niu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Yixian Yang, Xiu‐Bo Chen, Kangfeng Zheng, Xu Wang, Wei Ni, Ren Ping Liu, Xuan F. Zha, Y. Jay Guo, Zhaofeng Ma and Ming‐Xing Luo. Their work appears in journals such as Scientific Reports, IEEE Access and Frontiers in Microbiology.
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.