Yingjie Xue
- Information Systems top 2%
- Cloud Data Security Solutions 9
- Blockchain Technology Applications and Security 4
- Artificial Intelligence top 5%
- Cryptography and Data Security 9
- Privacy-Preserving Technologies in Data 9
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- Digital Media Forensic Detection 10
- Advanced Steganography and Watermarking Techniques 9
- Chaos-based Image/Signal Encryption 6
- Media Technology top 10%
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- Distributed systems and fault tolerance 3
- Co-authors
- Kaiping XueJianan HongDavid S. L. WeiWei LuYuileong YeungPeilin HongNenghai YuHongmei Liu
- Journals
- Multimedia Tools and Applications (5 papers)IEEE Transactions on Information Forensics and Security (4 papers)IEEE Transactions on Circuits and Systems for Video Technology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yingjie Xue
32 papers receiving 750 citations
Peers
Comparison fields: 5 of 53
- Information Systems 352
- Artificial Intelligence 450
- Computer Vision and Pattern Recognition 234
- Media Technology 43
- Computer Networks and Communications 88
Countries citing papers authored by Yingjie Xue
This map shows the geographic impact of Yingjie Xue'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 Yingjie Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingjie Xue more than expected).
Fields of papers citing papers by Yingjie Xue
This network shows the impact of papers produced by Yingjie Xue. 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 Yingjie Xue. The network helps show where Yingjie Xue may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yingjie Xue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 16 | |
| 7 | 2021 | 3 | |
| 8 | 2019 | 25 | |
| 9 | 2019 | 9 | |
| 10 | 2019 | 29 | |
| 11 | 2019 | 73 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 4 | |
| 14 | 2018 | 15 | |
| 15 | 2018 | 39 | |
| 16 | 2018 | 13 | |
| 17 | 2017 | 104 | |
| 18 | 2016 | 17 | |
| 19 | 2015 | 101 | |
| 20 | 2014 | 22 |
About Yingjie Xue
Yingjie Xue is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Business and International Management, having authored 34 papers that have together received 777 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (10 papers), Cloud Data Security Solutions (9 papers), Cryptography and Data Security (9 papers), Advanced Steganography and Watermarking Techniques (9 papers), Privacy-Preserving Technologies in Data (9 papers), Chaos-based Image/Signal Encryption (6 papers), Blockchain Technology Applications and Security (4 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Information Systems (352 citations), Artificial Intelligence (450 citations) and Computer Vision and Pattern Recognition (234 citations). Yingjie Xue has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kaiping Xue, Jianan Hong, David S. L. Wei, Wei Lu, Yuileong Yeung, Peilin Hong, Nenghai Yu, Hongmei Liu, Hao Yue and Wei Li. Their work appears in journals such as Multimedia Tools and Applications, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Services Computing and Applied Surface Science.
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.