Yunsheng Bai
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Information Systems top 10%
- Electrical and Electronic Engineering
- Co-authors
- Yizhou SunWei WangTing ChenHao DingSong BianAtefeh SohrabizadehJason CongXinxin Jin
- Topics
- Graph Theory and Algorithms (9 papers)Advanced Graph Neural Networks (9 papers)Machine Learning in Materials Science (4 papers)
- Journals
- Microwave and Optical Technology LettersarXiv (Cornell University)Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
- Partner nations
- United StatesChina
In The Last Decade
Yunsheng Bai
18 papers receiving 319 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 183
- Computer Vision and Pattern Recognition 130
- Molecular Biology 48
- Information Systems 48
- Electrical and Electronic Engineering 40
Countries citing papers authored by Yunsheng Bai
This map shows the geographic impact of Yunsheng Bai'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 Yunsheng Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunsheng Bai more than expected).
Fields of papers citing papers by Yunsheng Bai
This network shows the impact of papers produced by Yunsheng Bai. 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 Yunsheng Bai. The network helps show where Yunsheng Bai may publish in the future.
Co-authorship network of co-authors of Yunsheng Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Yunsheng Bai. A scholar is included among the top collaborators of Yunsheng Bai 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 Yunsheng Bai. Yunsheng Bai 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 | 1 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 12 | |
| 7 | 26 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning. | 2 |
| 12 | 6 | |
| 13 | 21 | |
| 14 | 49 | |
| 15 | Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity. | 4 |
| 16 | Neural Maximum Common Subgraph Detection with Guided Subgraph Extraction | 3 |
| 17 | 160 | |
| 18 | Graph Edit Distance Computation via Graph Neural Networks. | 4 |
| 19 | Convolutional Neural Networks for Fast Approximation of Graph Edit Distance. | 1 |
| 20 | 12 |
About Yunsheng Bai
Yunsheng Bai is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Software, having authored 20 papers that have together received 329 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (9 papers), Advanced Graph Neural Networks (9 papers) and Machine Learning in Materials Science (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (130 citations), Artificial Intelligence (183 citations) and Hardware and Architecture (33 citations). Yunsheng Bai has collaborated with scholars based in United States and China. Frequent co-authors include Yizhou Sun, Wei Wang, Ting Chen, Hao Ding, Song Bian, Atefeh Sohrabizadeh, Hao Ding, Jason Cong, Xinxin Jin and Yanqiao Zhu. Their work appears in journals such as Microwave and Optical Technology Letters, arXiv (Cornell University) and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
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.