Ying Niu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Co-authors
- Xuncai ZhangGuangzhao CuiLingfei WangYanfeng WangJin XuYan‐Feng WangKai ZhaoHongying Yang
- Topics
- Advanced Steganography and Watermarking Techniques (19 papers)Chaos-based Image/Signal Encryption (18 papers)DNA and Biological Computing (13 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational Theory and MathematicsArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsScientific Reports
- Partner nations
- China
In The Last Decade
Ying Niu
39 papers receiving 731 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 543
- Artificial Intelligence 240
- Computational Theory and Mathematics 157
- Molecular Biology 110
- Electrical and Electronic Engineering 86
Countries citing papers authored by Ying Niu
This map shows the geographic impact of Ying 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 Ying Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Niu more than expected).
Fields of papers citing papers by Ying Niu
This network shows the impact of papers produced by Ying 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 Ying Niu. The network helps show where Ying Niu may publish in the future.
Co-authorship network of co-authors of Ying Niu
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Niu. A scholar is included among the top collaborators of Ying 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 Ying Niu. Ying 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 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 34 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 22 | |
| 9 | 5 | |
| 10 | 21 | |
| 11 | 2 | |
| 12 | 71 | |
| 13 | 44 | |
| 14 | 9 | |
| 15 | 30 | |
| 16 | 40 | |
| 17 | 25 | |
| 18 | 0 | |
| 19 | 68 | |
| 20 | 1 |
About Ying Niu
Ying Niu is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Artificial Intelligence, having authored 42 papers that have together received 776 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (19 papers), Chaos-based Image/Signal Encryption (18 papers) and DNA and Biological Computing (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (543 citations), Computational Theory and Mathematics (157 citations) and Artificial Intelligence (240 citations). Ying Niu has collaborated with scholars based in China. Frequent co-authors include Xuncai Zhang, Guangzhao Cui, Lingfei Wang, Yanfeng Wang, Jin Xu, Yan‐Feng Wang, Kai Zhao, Hongying Yang, Xiangyang Wang and Yunan Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.
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.