Yuhao Yang
- Artificial Intelligence top 2%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Chao HuangLianghao XiaChenliang LiKangyi LinDa LuoYuxuan LiangYanwei YuWei Wei
- Topics
- Topic Modeling (9 papers)Advanced Graph Neural Networks (9 papers)Recommender Systems and Techniques (8 papers)
- Journals
- EURASIP Journal on Advances in Signal ProcessingThe HKU Scholars Hub (University of Hong Kong)arXiv (Cornell University)
In The Last Decade
Yuhao Yang
12 papers receiving 655 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 509
- Information Systems 477
- Computer Vision and Pattern Recognition 120
- Management Science and Operations Research 65
- Computer Networks and Communications 64
Countries citing papers authored by Yuhao Yang
This map shows the geographic impact of Yuhao Yang'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 Yuhao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhao Yang more than expected).
Fields of papers citing papers by Yuhao Yang
This network shows the impact of papers produced by Yuhao Yang. 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 Yuhao Yang. The network helps show where Yuhao Yang may publish in the future.
Co-authorship network of co-authors of Yuhao Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuhao Yang. A scholar is included among the top collaborators of Yuhao Yang 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 Yuhao Yang. Yuhao Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 22 | |
| 5 | GraphGPT: Graph Instruction Tuning for Large Language Modelsbreakdown → | 57 |
| 6 | 8 | |
| 7 | DiffKG: Knowledge Graph Diffusion Model for Recommendationbreakdown → | 43 |
| 8 | 14 | |
| 9 | 0 | |
| 10 | Debiased Contrastive Learning for Sequential Recommendationbreakdown → | 78 |
| 11 | Knowledge Graph Self-Supervised Rationalization for Recommendationbreakdown → | 77 |
| 12 | Knowledge Graph Contrastive Learning for Recommendationbreakdown → | 238 |
| 13 | 78 | |
| 14 | 12 | |
| 15 | 33 |
About Yuhao Yang
Yuhao Yang is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications, having authored 15 papers that have together received 661 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Advanced Graph Neural Networks (9 papers) and Recommender Systems and Techniques (8 papers). The work is most often cited by research in Information Systems (477 citations), Artificial Intelligence (509 citations) and Computer Vision and Pattern Recognition (120 citations). Yuhao Yang has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Chao Huang, Lianghao Xia, Chenliang Li, Kangyi Lin, Da Luo, Yuxuan Liang, Yanwei Yu, Wei Wei, Jiabin Tang and Dawei Yin. Their work appears in journals such as EURASIP Journal on Advances in Signal Processing, The HKU Scholars Hub (University of Hong Kong) and arXiv (Cornell University).
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.