Yu Guang Wang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Cancer Research
- Topics
- Advanced Graph Neural Networks (9 papers)Graph Theory and Algorithms (7 papers)Speech Recognition and Synthesis (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceAnalytical ChemistryApplied Microbiology and Biotechnology
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yu Guang Wang
66 papers receiving 859 citations
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 442
- Computer Vision and Pattern Recognition 173
- Molecular Biology 138
- Electrical and Electronic Engineering 112
- Cancer Research 59
Countries citing papers authored by Yu Guang Wang
This map shows the geographic impact of Yu Guang Wang'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 Yu Guang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Guang Wang more than expected).
Fields of papers citing papers by Yu Guang Wang
This network shows the impact of papers produced by Yu Guang Wang. 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 Yu Guang Wang. The network helps show where Yu Guang Wang may publish in the future.
Co-authorship network of co-authors of Yu Guang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Guang Wang. A scholar is included among the top collaborators of Yu Guang Wang 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 Yu Guang Wang. Yu Guang Wang 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 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 22 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 35 | |
| 14 | Grassmann Graph Embedding | 1 |
| 15 | 10 | |
| 16 | 51 | |
| 17 | Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide. | 2 |
| 18 | 11 | |
| 19 | 11 | |
| 20 | 11 |
About Yu Guang Wang
Yu Guang Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Numerical Analysis, having authored 73 papers that have together received 887 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (9 papers), Graph Theory and Algorithms (7 papers) and Speech Recognition and Synthesis (6 papers). The work is most often cited by research in Artificial Intelligence (442 citations), Computer Vision and Pattern Recognition (173 citations) and Cancer Research (59 citations). Yu Guang Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Feilong Cao, Yubo Yuan, Ming Li, Xiaosheng Zhuang, Zheng Ma, Yanfeng Wang, Dianhui Wang, Chenxin Xu, Xinchao Wang and Yu-Hong Tan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Analytical Chemistry and Applied Microbiology and Biotechnology.
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.