Haiyang Yu
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Co-authors
- Shurui GuiShuiwang JiHao YuanZhen YangRichard SinnottXiaoyan ChuMinjuan WangWen Long
- Topics
- Cryptography and Data Security (18 papers)Cloud Data Security Solutions (13 papers)Privacy-Preserving Technologies in Data (12 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceExpert Systems with ApplicationsIEEE Access
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Haiyang Yu
56 papers receiving 929 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 511
- Information Systems 347
- Computer Networks and Communications 198
- Computer Vision and Pattern Recognition 105
- Human-Computer Interaction 80
Countries citing papers authored by Haiyang Yu
This map shows the geographic impact of Haiyang 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 Haiyang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyang Yu more than expected).
Fields of papers citing papers by Haiyang Yu
This network shows the impact of papers produced by Haiyang 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 Haiyang Yu. The network helps show where Haiyang Yu may publish in the future.
Co-authorship network of co-authors of Haiyang Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Haiyang Yu. A scholar is included among the top collaborators of Haiyang 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 Haiyang Yu. Haiyang 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 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 21 | |
| 11 | 19 | |
| 12 | 28 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | 31 | |
| 16 | Prediction of Comprehensive Performance of Concrete Based on BP Neural Network | 6 |
| 17 | 14 | |
| 18 | 1 | |
| 19 | 98 | |
| 20 | 7 |
About Haiyang Yu
Haiyang Yu is a scholar working on Artificial Intelligence, Information Systems and Health Informatics, having authored 60 papers that have together received 976 indexed citations. Recurring topics across this work include Cryptography and Data Security (18 papers), Cloud Data Security Solutions (13 papers) and Privacy-Preserving Technologies in Data (12 papers). The work is most often cited by research in Artificial Intelligence (511 citations), Information Systems (347 citations) and Human-Computer Interaction (80 citations). Haiyang Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shurui Gui, Shuiwang Ji, Hao Yuan, Zhen Yang, Richard Sinnott, Xiaoyan Chu, Minjuan Wang, Wen Long, Huan Liu and Ningyu Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.
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.