Liang Xuan
- Radiology, Nuclear Medicine and Imaging top 5%
- Cognitive Neuroscience top 10%
- Electrical and Electronic Engineering
- Mechanics of Materials
- Mechanical Engineering
- Co-authors
- Brian T. GoldJoseph A. HelpernJens H. JensenDavid K. PowellCharles D. SmithGregory A. JichaMariana LazarЛалита Удпа
- Topics
- Non-Destructive Testing Techniques (7 papers)Advanced MRI Techniques and Applications (7 papers)Polymer composites and self-healing (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Liang Xuan
32 papers receiving 575 citations
Peers
Comparison fields: 5 of 105
- Radiology, Nuclear Medicine and Imaging 261
- Cognitive Neuroscience 188
- Electrical and Electronic Engineering 84
- Mechanics of Materials 81
- Mechanical Engineering 76
Countries citing papers authored by Liang Xuan
This map shows the geographic impact of Liang Xuan'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 Liang Xuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Xuan more than expected).
Fields of papers citing papers by Liang Xuan
This network shows the impact of papers produced by Liang Xuan. 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 Liang Xuan. The network helps show where Liang Xuan may publish in the future.
Co-authorship network of co-authors of Liang Xuan
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Xuan. A scholar is included among the top collaborators of Liang Xuan 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 Liang Xuan. Liang Xuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 9 | |
| 12 | [Anatomical characteristics of the pelvic floor muscles in young nulliparous women based on three-dimensional MRI]. | 2 |
| 13 | 41 | |
| 14 | 4 | |
| 15 | 130 | |
| 16 | 100 | |
| 17 | 97 | |
| 18 | 50 | |
| 19 | Effects of germanium on the growth of the main tissues and organs of the broilers | 1 |
| 20 | 3 |
About Liang Xuan
Liang Xuan is a scholar working on Process Chemistry and Technology, Metals and Alloys and Polymers and Plastics, having authored 34 papers that have together received 590 indexed citations. Recurring topics across this work include Non-Destructive Testing Techniques (7 papers), Advanced MRI Techniques and Applications (7 papers) and Polymer composites and self-healing (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (261 citations), Cognitive Neuroscience (188 citations) and Computational Mathematics (5 citations). Liang Xuan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Brian T. Gold, Joseph A. Helpern, Jens H. Jensen, David K. Powell, Charles D. Smith, Gregory A. Jicha, Mariana Lazar, Лалита Удпа, Peter Hardy and David K. Powell. Their work appears in journals such as Magnetic Resonance in Medicine, Chemistry - A European Journal and Neuropsychologia.
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.