Shi‐Xia Liu
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.2%
- Materials Chemistry top 2%
- Electrical and Electronic Engineering top 2%
- Electronic, Optical and Magnetic Materials top 1%
- Topics
- Magnetism in coordination complexes (102 papers)Organic and Molecular Conductors Research (70 papers)Data Visualization and Analytics (64 papers)
- Cited by
- Computer Vision and Pattern RecognitionElectronic, Optical and Magnetic MaterialsArtificial Intelligence
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPhysical Review Letters
- Partner nations
- SwitzerlandChinaUnited States
In The Last Decade
Shi‐Xia Liu
361 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Computer Vision and Pattern Recognition 3.3k
- Artificial Intelligence 2.8k
- Materials Chemistry 2.6k
- Electrical and Electronic Engineering 2.3k
- Electronic, Optical and Magnetic Materials 2.2k
Countries citing papers authored by Shi‐Xia Liu
This map shows the geographic impact of Shi‐Xia Liu'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 Shi‐Xia Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi‐Xia Liu more than expected).
Fields of papers citing papers by Shi‐Xia Liu
This network shows the impact of papers produced by Shi‐Xia Liu. 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 Shi‐Xia Liu. The network helps show where Shi‐Xia Liu may publish in the future.
Co-authorship network of co-authors of Shi‐Xia Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shi‐Xia Liu. A scholar is included among the top collaborators of Shi‐Xia Liu 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 Shi‐Xia Liu. Shi‐Xia Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 34 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 123 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | 15 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 12 | |
| 17 | 25 | |
| 18 | 5 | |
| 19 | 29 | |
| 20 | 166 |
About Shi‐Xia Liu
Shi‐Xia Liu is a scholar working on Electronic, Optical and Magnetic Materials, Computer Vision and Pattern Recognition and Inorganic Chemistry, having authored 366 papers that have together received 12.0k indexed citations. Recurring topics across this work include Magnetism in coordination complexes (102 papers), Organic and Molecular Conductors Research (70 papers) and Data Visualization and Analytics (64 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.3k citations), Electronic, Optical and Magnetic Materials (2.2k citations) and Artificial Intelligence (2.8k citations). Shi‐Xia Liu has collaborated with scholars based in Switzerland, China and United States. Frequent co-authors include Silvio Decurtins, Yingcai Wu, Mengchen Liu, Weiwei Cui, Jun Zhu, Yangqiu Song, A. Neels, Huamin Qu, Furu Wei and Xiting Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review 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.