Xiaohan Yu
- Electronic, Optical and Magnetic Materials top 5%
- Condensed Matter Physics top 5%
- Materials Chemistry top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Topics
- Magnetic and transport properties of perovskites and related materials (38 papers)Advanced Condensed Matter Physics (28 papers)Multiferroics and related materials (16 papers)
- Cited by
- Condensed Matter PhysicsElectronic, Optical and Magnetic MaterialsComputer Vision and Pattern Recognition
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Xiaohan Yu
131 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 140
- Electronic, Optical and Magnetic Materials 566
- Condensed Matter Physics 415
- Materials Chemistry 401
- Computer Vision and Pattern Recognition 314
- Artificial Intelligence 241
Countries citing papers authored by Xiaohan Yu
This map shows the geographic impact of Xiaohan Yu'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 Xiaohan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohan Yu more than expected).
Fields of papers citing papers by Xiaohan Yu
This network shows the impact of papers produced by Xiaohan Yu. 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 Xiaohan Yu. The network helps show where Xiaohan Yu may publish in the future.
Co-authorship network of co-authors of Xiaohan Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohan Yu. A scholar is included among the top collaborators of Xiaohan Yu 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 Xiaohan Yu. Xiaohan Yu 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 25 | |
| 12 | 4 | |
| 13 | 17 | |
| 14 | 11 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | EPICS-based data acquisition system of hard X-ray microfocus station | 1 |
| 20 | The level structure of 76 Se from 76 Br γ decay | 1 |
About Xiaohan Yu
Xiaohan Yu is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Computer Vision and Pattern Recognition, having authored 145 papers that have together received 1.5k indexed citations. Recurring topics across this work include Magnetic and transport properties of perovskites and related materials (38 papers), Advanced Condensed Matter Physics (28 papers) and Multiferroics and related materials (16 papers). The work is most often cited by research in Condensed Matter Physics (415 citations), Electronic, Optical and Magnetic Materials (566 citations) and Computer Vision and Pattern Recognition (314 citations). Xiaohan Yu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Yongsheng Gao, Yang Zhao, Xiang Liu, Shengwu Xiong, Xiaoli Guan, Shuaizhao Jin, Xin Gu, Xingrui Pu, Kaili Chu and Hongjiang Li. Their work appears in journals such as Applied Physics Letters, Bioinformatics and Journal of Applied Physics.
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.