Weiren Yu
Impact in
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks
- Privacy-Preserving Technologies in Data
- Anomaly Detection Techniques and Applications
- Cryptography and Data Security
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- Complex Network Analysis Techniques
Papers in
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- Advanced Graph Neural Networks 22
- Topic Modeling 4
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- Advanced Image and Video Retrieval Techniques 8
- Graph Theory and Algorithms 6
- Image Retrieval and Classification Techniques 5
- Co-authors
- Julie A. McCann (16 shared papers)Xuemin Lin (10 shared papers)Wenjie Zhang (8 shared papers)Di Wu (6 shared papers)Xuetao Wei (2 shared papers)Xuebin Ren (3 shared papers)Shusen Yang (3 shared papers)Renfa Li (1 shared paper)
- Journals
- World Wide Web (3 papers)IEEE Access (3 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)Neurocomputing (2 papers)The VLDB Journal (2 papers)
- Partner nations
- United KingdomChinaAustralia
In The Last Decade
Weiren Yu
49 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 732
- Statistical and Nonlinear Physics 242
- Computer Science Applications 99
- Signal Processing 143
- Computer Vision and Pattern Recognition 260
Countries citing papers authored by Weiren Yu
This map shows the geographic impact of Weiren Yu'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 Weiren Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiren Yu more than expected).
Fields of papers citing papers by Weiren Yu
This network shows the impact of papers produced by Weiren Yu. 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 Weiren Yu. The network helps show where Weiren Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiren Yu, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 220 | |
| 2 | 2018 | 204 | |
| 3 | 2022 | 56 | |
| 4 | 2013 | 50 | |
| 5 | 2015 | 49 | |
| 6 | 2010 | 43 | |
| 7 | 2020 | 38 | |
| 8 | 2013 | 36 | |
| 9 | 2014 | 33 | |
| 10 | 2021 | 32 | |
| 11 | 2019 | 29 | |
| 12 | 2016 | 25 | |
| 13 | 2019 | 24 | |
| 14 | 2015 | 22 | |
| 15 | 2013 | 20 | |
| 16 | 2016 | 18 | |
| 17 | 2014 | 17 | |
| 18 | 2017 | 14 | |
| 19 | 2021 | 14 | |
| 20 | 2016 | 13 |
About Weiren Yu
Weiren Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Information Systems and Computer Networks and Communications, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (22 papers), Complex Network Analysis Techniques (17 papers), Advanced Image and Video Retrieval Techniques (8 papers), Graph Theory and Algorithms (6 papers), Image Retrieval and Classification Techniques (5 papers), Topic Modeling (4 papers), Stability and Control of Uncertain Systems (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Artificial Intelligence (732 citations), Statistical and Nonlinear Physics (242 citations), Computer Science Applications (99 citations), Signal Processing (143 citations) and Computer Vision and Pattern Recognition (260 citations). Weiren Yu has collaborated with scholars based in United Kingdom, China and Australia. Frequent co-authors include Julie A. McCann, Xuemin Lin, Wenjie Zhang, Di Wu, Xuetao Wei, Xuebin Ren, Shusen Yang, Renfa Li, Xiaofeng Xie and Chia-Mu Yu. Their work appears in journals such as World Wide Web, IEEE Access, IEEE Transactions on Intelligent Transportation Systems, Neurocomputing and The VLDB 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.