Xiaojuan Wang
- Biomedical Engineering
- Materials Chemistry
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Xingyuan WangNing MinHelin NiuQianwang ChenLiang XuHao FengBin WangZhenfeng Zhang
- Topics
- Laser-Plasma Interactions and Diagnostics (7 papers)Magnetic confinement fusion research (6 papers)Protein Structure and Dynamics (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionNuclear and High Energy PhysicsBiomedical Engineering
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaojuan Wang
45 papers receiving 591 citations
Peers
Comparison fields: 5 of 85
- Biomedical Engineering 175
- Materials Chemistry 117
- Molecular Biology 110
- Computer Vision and Pattern Recognition 93
- Atomic and Molecular Physics, and Optics 79
Countries citing papers authored by Xiaojuan Wang
This map shows the geographic impact of Xiaojuan 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 Xiaojuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojuan Wang more than expected).
Fields of papers citing papers by Xiaojuan Wang
This network shows the impact of papers produced by Xiaojuan 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 Xiaojuan Wang. The network helps show where Xiaojuan Wang may publish in the future.
Co-authorship network of co-authors of Xiaojuan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojuan Wang. A scholar is included among the top collaborators of Xiaojuan 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 Xiaojuan Wang. Xiaojuan 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 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 19 | |
| 13 | Large Hadron Electron Colliderでの異常FCNCトップ-HiggsのYukawa結合の探索 | 2 |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 62 | |
| 19 | 1 | |
| 20 | 1 |
About Xiaojuan Wang
Xiaojuan Wang is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Fluid Flow and Transfer Processes, having authored 48 papers that have together received 611 indexed citations. Recurring topics across this work include Laser-Plasma Interactions and Diagnostics (7 papers), Magnetic confinement fusion research (6 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (93 citations), Nuclear and High Energy Physics (57 citations) and Biomedical Engineering (175 citations). Xiaojuan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xingyuan Wang, Ning Min, Helin Niu, Qianwang Chen, Liang Xu, Hao Feng, Bin Wang, Zhenfeng Zhang, Jianfeng Zhao and Xicheng Wang. Their work appears in journals such as The Journal of Physical Chemistry B, Bioresource Technology and Chemical 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.