Xubo Song
- Computer Vision and Pattern Recognition top 1%
- Materials Chemistry top 5%
- Aerospace Engineering top 1%
- Electronic, Optical and Magnetic Materials top 5%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Andriy MyronenkoZhihong FengShujun CaiYuangang WangYuanjie LvShixiong LiangXingye ZhouXingguo Li
- Topics
- GaN-based semiconductor devices and materials (33 papers)Ga2O3 and related materials (23 papers)ZnO doping and properties (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaACS NanoApplied Physics Letters
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Xubo Song
69 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 1.2k
- Materials Chemistry 969
- Aerospace Engineering 816
- Electronic, Optical and Magnetic Materials 765
- Electrical and Electronic Engineering 670
Countries citing papers authored by Xubo Song
This map shows the geographic impact of Xubo Song'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 Xubo Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xubo Song more than expected).
Fields of papers citing papers by Xubo Song
This network shows the impact of papers produced by Xubo Song. 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 Xubo Song. The network helps show where Xubo Song may publish in the future.
Co-authorship network of co-authors of Xubo Song
This figure shows the co-authorship network connecting the top 25 collaborators of Xubo Song. A scholar is included among the top collaborators of Xubo Song 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 Xubo Song. Xubo Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 21 | |
| 8 | 136 | |
| 9 | 20 | |
| 10 | 31 | |
| 11 | 26 | |
| 12 | 8 | |
| 13 | 41 | |
| 14 | Point Set Registration: Coherent Point Driftbreakdown → | 1859 |
| 15 | 242 | |
| 16 | 20 | |
| 17 | 13 | |
| 18 | 14 | |
| 19 | 16 | |
| 20 | 31 |
About Xubo Song
Xubo Song is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 73 papers that have together received 3.5k indexed citations. Recurring topics across this work include GaN-based semiconductor devices and materials (33 papers), Ga2O3 and related materials (23 papers) and ZnO doping and properties (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Geology (266 citations) and Electronic, Optical and Magnetic Materials (765 citations). Xubo Song has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Andriy Myronenko, Zhihong Feng, Shujun Cai, Yuangang Wang, Yuanjie Lv, Shixiong Liang, Xingye Zhou, Xingguo Li, Jie Zheng and Guodong Gu. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Applied Physics Letters.
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.