Saiyu Qi
Impact in
- Information Systems top 2%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
Papers in
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- Cryptography and Data Security 27
- Privacy-Preserving Technologies in Data 21
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- Blockchain Technology Applications and Security 16
- Cloud Data Security Solutions 15
- User Authentication and Security Systems 7
- Co-authors
- Yuanqing Zheng (11 shared papers)Yong Qi (37 shared papers)Youshui Lu (8 shared papers)Xiaofeng Chen (6 shared papers)Wei Wei (10 shared papers)Mo Li (6 shared papers)Jianfeng Wang (10 shared papers)Jinli Qiu (2 shared papers)
In The Last Decade
Saiyu Qi
61 papers receiving 641 citations
Peers
Comparison fields: 5 of 62
- Information Systems 351
- Artificial Intelligence 337
- Computer Networks and Communications 214
- Media Technology 76
- Computer Science Applications 31
Countries citing papers authored by Saiyu Qi
This map shows the geographic impact of Saiyu Qi'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 Saiyu Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saiyu Qi more than expected).
Fields of papers citing papers by Saiyu Qi
This network shows the impact of papers produced by Saiyu Qi. 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 Saiyu Qi. The network helps show where Saiyu Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Saiyu Qi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 83 | |
| 2 | 2020 | 59 | |
| 3 | 2016 | 49 | |
| 4 | 2021 | 30 | |
| 5 | 2020 | 22 | |
| 6 | 2019 | 20 | |
| 7 | 2016 | 20 | |
| 8 | 2021 | 19 | |
| 9 | 2022 | 18 | |
| 10 | 2014 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 16 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2020 | 13 | |
| 17 | 2014 | 13 | |
| 18 | 2021 | 13 | |
| 19 | 2023 | 12 | |
| 20 | 2023 | 11 |
About Saiyu Qi
Saiyu Qi is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Media Technology, having authored 65 papers that have together received 653 indexed citations. Recurring topics across this work include Cryptography and Data Security (27 papers), Privacy-Preserving Technologies in Data (21 papers), Blockchain Technology Applications and Security (16 papers), Cloud Data Security Solutions (15 papers), RFID technology advancements (11 papers), IoT and Edge/Fog Computing (7 papers), User Authentication and Security Systems (7 papers) and Advanced Authentication Protocols Security (6 papers). The work is most often cited by research in Information Systems (351 citations), Artificial Intelligence (337 citations), Computer Networks and Communications (214 citations), Media Technology (76 citations) and Computer Science Applications (31 citations). Saiyu Qi has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Yuanqing Zheng, Yong Qi, Youshui Lu, Xiaofeng Chen, Wei Wei, Mo Li, Jianfeng Wang, Jinli Qiu, Yunhao Liu and Qian Li. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, Future Generation Computer Systems, IEEE Transactions on Mobile Computing, Knowledge-Based Systems and IEEE Internet of Things Journal.
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.