Youyang Qu
- Artificial Intelligence top 0.5%
- Privacy-Preserving Technologies in Data 62
- Cryptography and Data Security 27
- Internet Traffic Analysis and Secure E-voting 7
- Information Systems top 0.5%
- Blockchain Technology Applications and Security 25
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- IoT and Edge/Fog Computing 14
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- Mobile Crowdsensing and Crowdsourcing 12
- Health Informatics top 5%
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- Privacy, Security, and Data Protection 16
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- Vehicular Ad Hoc Networks (VANETs) 13
Youyang Qu
113 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Artificial Intelligence 1.6k
- Information Systems 1.1k
- Computer Networks and Communications 871
- Computer Science Applications 195
- Health Informatics 36
Countries citing papers authored by Youyang Qu
This map shows the geographic impact of Youyang Qu'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 Youyang Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youyang Qu more than expected).
Fields of papers citing papers by Youyang Qu
This network shows the impact of papers produced by Youyang Qu. 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 Youyang Qu. The network helps show where Youyang Qu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Youyang Qu, 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 42 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 74 | |
| 16 | 2022 | 26 | |
| 17 | 2021 | 25 | |
| 18 | 2021 | 52 | |
| 19 | A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networksbreakdown → | 2020 | 243 |
| 20 | 2019 | 22 |
About Youyang Qu
Youyang Qu is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems, Computer Networks and Communications and Biochemistry, having authored 129 papers that have together received 3.1k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (62 papers), Cryptography and Data Security (27 papers), Blockchain Technology Applications and Security (25 papers), Privacy, Security, and Data Protection (16 papers), IoT and Edge/Fog Computing (14 papers), Vehicular Ad Hoc Networks (VANETs) (13 papers), Mobile Crowdsensing and Crowdsourcing (12 papers) and Internet Traffic Analysis and Secure E-voting (7 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Information Systems (1.1k citations), Computer Networks and Communications (871 citations), Computer Science Applications (195 citations) and Health Informatics (36 citations). Youyang Qu has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Longxiang Gao, Yong Xiang, Shui Yu, Gang Xie, Chenhao Xu, Lei Cui, Tom H. Luan, Shiva Raj Pokhrel, Shigen Shen and Sahil Garg. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Access, IEEE Transactions on Services Computing, Big Data Mining and Analytics and IEEE Transactions on Mobile Computing.
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.