Rui Wang
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- Advanced Image and Video Retrieval Techniques 24
- Advanced Neural Network Applications 17
- Advanced Image Processing Techniques 16
- Multimodal Machine Learning Applications 11
- Media Technology top 0.5%
- Advanced Image Fusion Techniques 14
- Signal Processing top 1%
- Advanced Malware Detection Techniques 22
- Software top 5%
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning 12
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- Network Security and Intrusion Detection 11
Rui Wang
207 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Computer Vision and Pattern Recognition 1.4k
- Media Technology 531
- Signal Processing 522
- Software 90
- Artificial Intelligence 731
Countries citing papers authored by Rui Wang
This map shows the geographic impact of Rui Wang'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 Rui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Wang more than expected).
Fields of papers citing papers by Rui Wang
This network shows the impact of papers produced by Rui Wang. 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 Rui Wang. The network helps show where Rui Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rui Wang, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 15 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 78 | |
| 15 | 2022 | 14 | |
| 16 | 2021 | 97 | |
| 17 | 2017 | 93 | |
| 18 | Brahmastra: driving apps to test the security of third-party components | 2014 | 76 |
| 19 | Explicating SDKs: uncovering assumptions underlying secure authentication and authorization | 2013 | 55 |
| 20 | 2012 | 89 |
About Rui Wang
Rui Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Artificial Intelligence and Information Systems, having authored 235 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (24 papers), Advanced Malware Detection Techniques (22 papers), Advanced Neural Network Applications (17 papers), Advanced Image Processing Techniques (16 papers), Advanced Image Fusion Techniques (14 papers), Domain Adaptation and Few-Shot Learning (12 papers), Network Security and Intrusion Detection (11 papers) and Multimodal Machine Learning Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Media Technology (531 citations), Signal Processing (522 citations), Software (90 citations) and Artificial Intelligence (731 citations). Rui Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaochun Cao, Xiaofeng Wang, Yuanfang Guo, Wenqi Ren, Shuo Chen, Yanyang Yan, Filiz Bunyak, Guna Seetharaman, Kannappan Palaniappan and Heng-Chao Li. Their work appears in journals such as International Journal of Biological Macromolecules, Food Hydrocolloids, Agronomy, LWT and ACM Transactions on Multimedia Computing Communications and Applications.
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.