Qingni Shen
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Zhonghai WuYang ZhangShiqing MaDingfan ChenCong LiMichael BackesAhmed SalemWu Luo
- Topics
- Cloud Data Security Solutions (25 papers)Security and Verification in Computing (23 papers)Cryptography and Data Security (21 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qingni Shen
60 papers receiving 345 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 255
- Information Systems 184
- Computer Networks and Communications 133
- Signal Processing 63
- Computer Vision and Pattern Recognition 36
Countries citing papers authored by Qingni Shen
This map shows the geographic impact of Qingni Shen'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 Qingni Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingni Shen more than expected).
Fields of papers citing papers by Qingni Shen
This network shows the impact of papers produced by Qingni Shen. 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 Qingni Shen. The network helps show where Qingni Shen may publish in the future.
Co-authorship network of co-authors of Qingni Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Qingni Shen. A scholar is included among the top collaborators of Qingni Shen 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 Qingni Shen. Qingni Shen 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 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 17 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | Container-IMA: A privacy-preserving Integrity Measurement Architecture for Containers | 8 |
| 16 | 17 | |
| 17 | OpenStack Security Modules: A Least-Invasive Access Control Framework for the Cloud | 0 |
| 18 | Micro-cluster-based online network abnormal detection method | 3 |
| 19 | 2 | |
| 20 | Research on intrusion detection based on an improved GHSOM | 2 |
About Qingni Shen
Qingni Shen is a scholar working on Artificial Intelligence, Information Systems and Hardware and Architecture, having authored 72 papers that have together received 365 indexed citations. Recurring topics across this work include Cloud Data Security Solutions (25 papers), Security and Verification in Computing (23 papers) and Cryptography and Data Security (21 papers). The work is most often cited by research in Information Systems (184 citations), Artificial Intelligence (255 citations) and Signal Processing (63 citations). Qingni Shen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhonghai Wu, Yang Zhang, Shiqing Ma, Dingfan Chen, Cong Li, Michael Backes, Ahmed Salem, Wu Luo, Yuejian Fang and Xinyu Feng. Their work appears in journals such as Information Sciences, IEEE Transactions on Computers and Journal of Psychiatric Research.
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.