Yuxiao Dong
- Artificial Intelligence top 0.2%
- Information Systems top 0.2%
- Statistical and Nonlinear Physics top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Molecular Biology
- Co-authors
- Nitesh V. ChawlaAnanthram SwamiKuansan WangJie TangYizhou SunZiniu HuYang YangZ. Shen
- Topics
- Advanced Graph Neural Networks (38 papers)Topic Modeling (34 papers)Complex Network Analysis Techniques (32 papers)
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaEnergy & Environmental Science
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yuxiao Dong
103 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Artificial Intelligence 3.7k
- Information Systems 1.6k
- Statistical and Nonlinear Physics 1.5k
- Computer Vision and Pattern Recognition 756
- Molecular Biology 677
Countries citing papers authored by Yuxiao Dong
This map shows the geographic impact of Yuxiao Dong'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 Yuxiao Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxiao Dong more than expected).
Fields of papers citing papers by Yuxiao Dong
This network shows the impact of papers produced by Yuxiao Dong. 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 Yuxiao Dong. The network helps show where Yuxiao Dong may publish in the future.
Co-authorship network of co-authors of Yuxiao Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Yuxiao Dong. A scholar is included among the top collaborators of Yuxiao Dong 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 Yuxiao Dong. Yuxiao Dong 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 10 | |
| 13 | 10 | |
| 14 | 22 | |
| 15 | 8 | |
| 16 | 9 | |
| 17 | 6 | |
| 18 | 44 | |
| 19 | OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs. | 1 |
| 20 | 25 |
About Yuxiao Dong
Yuxiao Dong is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computational Mathematics, having authored 115 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (38 papers), Topic Modeling (34 papers) and Complex Network Analysis Techniques (32 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.5k citations), Artificial Intelligence (3.7k citations) and Information Systems (1.6k citations). Yuxiao Dong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Nitesh V. Chawla, Ananthram Swami, Kuansan Wang, Jie Tang, Yizhou Sun, Ziniu Hu, Yang Yang, Z. Shen, Bai Wang and Tiancheng Lou. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Energy & Environmental Science.
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.