Ruijie Quan
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- Multimodal Machine Learning Applications 6
- Face recognition and analysis 4
- Human Pose and Action Recognition 3
- Video Surveillance and Tracking Methods 3
- Signal Processing top 10%
- Advanced Malware Detection Techniques 3
- Automotive Engineering top 10%
- Media Technology top 10%
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- Network Security and Intrusion Detection 4
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- Domain Adaptation and Few-Shot Learning 4
- Anomaly Detection Techniques and Applications 2
Ruijie Quan
22 papers receiving 602 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 468
- Signal Processing 70
- Automotive Engineering 77
- Media Technology 53
- Safety, Risk, Reliability and Quality 45
Countries citing papers authored by Ruijie Quan
This map shows the geographic impact of Ruijie Quan'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 Ruijie Quan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruijie Quan more than expected).
Fields of papers citing papers by Ruijie Quan
This network shows the impact of papers produced by Ruijie Quan. 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 Ruijie Quan. The network helps show where Ruijie Quan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruijie Quan, 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 | 2 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 13 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 26 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 35 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 41 | |
| 16 | 2021 | 111 | |
| 17 | 2021 | 118 | |
| 18 | Thinking inside the Box: Differential Fault Localization for SDN Control Plane | 2019 | 3 |
| 19 | 2019 | 175 | |
| 20 | 2018 | 4 |
About Ruijie Quan
Ruijie Quan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 24 papers that have together received 614 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Face recognition and analysis (4 papers), Network Security and Intrusion Detection (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Human Pose and Action Recognition (3 papers), Video Surveillance and Tracking Methods (3 papers), Advanced Malware Detection Techniques (3 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (468 citations), Signal Processing (70 citations), Automotive Engineering (77 citations), Media Technology (53 citations) and Safety, Risk, Reliability and Quality (45 citations). Ruijie Quan has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Yi Yang, Linchao Zhu, Yu Wu, Xin Yu, Xuanyi Dong, Yuanzhi Liang, Wenguan Wang, Liulei Li, Tianfei Zhou and Xiaohan Wang. Their work appears in journals such as IEEE Transactions on Image Processing, Immunotechnology, Computers, materials & continua/Computers, materials & continua (Print), ACM Transactions on Multimedia Computing Communications and Applications and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.