Guang Yu
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Maksims VolkovsTomi PoutanenZhiping CaiSiqi WangDong XuXinqiang WangGuanghui ZhangXinwang Liu
- Topics
- Anomaly Detection Techniques and Applications (10 papers)Network Security and Intrusion Detection (8 papers)Crystallization and Solubility Studies (4 papers)
In The Last Decade
Guang Yu
22 papers receiving 374 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 225
- Information Systems 142
- Computer Networks and Communications 103
- Computer Vision and Pattern Recognition 73
- Management Science and Operations Research 44
Countries citing papers authored by Guang Yu
This map shows the geographic impact of Guang 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 Guang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Yu more than expected).
Fields of papers citing papers by Guang Yu
This network shows the impact of papers produced by Guang 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 Guang Yu. The network helps show where Guang Yu may publish in the future.
Co-authorship network of co-authors of Guang Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Guang Yu. A scholar is included among the top collaborators of Guang Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guang Yu. Guang Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 9 | |
| 5 | 28 | |
| 6 | 8 | |
| 7 | 23 | |
| 8 | 3 | |
| 9 | 42 | |
| 10 | Guided Similarity Separation for Image Retrieval | 10 |
| 11 | DropoutNet: Addressing Cold Start in Recommender Systems | 86 |
| 12 | 51 | |
| 13 | 41 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 47 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 5 |
About Guang Yu
Guang Yu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Physical and Theoretical Chemistry, having authored 22 papers that have together received 389 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (10 papers), Network Security and Intrusion Detection (8 papers) and Crystallization and Solubility Studies (4 papers). The work is most often cited by research in Artificial Intelligence (225 citations), Information Systems (142 citations) and Computer Networks and Communications (103 citations). Guang Yu has collaborated with scholars based in China, Canada and Denmark. Frequent co-authors include Maksims Volkovs, Tomi Poutanen, Zhiping Cai, Siqi Wang, Dong Xu, Xinqiang Wang, Guanghui Zhang, Xinwang Liu, Anfeng Liu and Fang Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Surface Science and Journal of Applied Crystallography.
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.