Xiao Liu
- Biomedical Engineering top 0.5%
- Biomaterials top 0.5%
- Electrical and Electronic Engineering top 5%
- Materials Chemistry top 5%
- Automotive Engineering top 0.5%
- Co-authors
- Gordon G. WallaceYu Shrike ZhangZhilian YueNing HuFwu‐Shan SheuWei‐De ZhangPeng TianJeremy M. Crook
- Topics
- 3D Printing in Biomedical Research (36 papers)Neuroscience and Neural Engineering (22 papers)Advanced Sensor and Energy Harvesting Materials (17 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiao Liu
212 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Biomedical Engineering 3.3k
- Biomaterials 1.2k
- Electrical and Electronic Engineering 1.1k
- Materials Chemistry 1.0k
- Automotive Engineering 895
Countries citing papers authored by Xiao Liu
This map shows the geographic impact of Xiao 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 Xiao Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Liu more than expected).
Fields of papers citing papers by Xiao Liu
This network shows the impact of papers produced by Xiao 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 Xiao Liu. The network helps show where Xiao Liu may publish in the future.
Co-authorship network of co-authors of Xiao Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Liu. A scholar is included among the top collaborators of Xiao 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 Xiao Liu. Xiao 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 | 2 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | Monolithic three-dimensional tier-by-tier integration via van der Waals laminationbreakdown → | 71 |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 7 | |
| 11 | 24 | |
| 12 | Hyperspectral Image Classification Using Attention-Based Bidirectional Long Short-Term Memory Networkbreakdown → | 165 |
| 13 | 33 | |
| 14 | 7 | |
| 15 | 21 | |
| 16 | 66 | |
| 17 | 4 | |
| 18 | 12 | |
| 19 | The General-purpose Programming Design about 3 Layer BP Networks Based on VB | 1 |
| 20 | Research Advancement of Nano Metallic Materials | 1 |
About Xiao Liu
Xiao Liu is a scholar working on Biomaterials, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 222 papers that have together received 6.6k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (36 papers), Neuroscience and Neural Engineering (22 papers) and Advanced Sensor and Energy Harvesting Materials (17 papers). The work is most often cited by research in Biomaterials (1.2k citations), Automotive Engineering (895 citations) and Biomedical Engineering (3.3k citations). Xiao Liu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Gordon G. Wallace, Yu Shrike Zhang, Zhilian Yue, Ning Hu, Fwu‐Shan Sheu, Wei‐De Zhang, Peng Tian, Jeremy M. Crook, Ali Akpek and Marcel Alexander Heinrich. Their work appears in journals such as Nature, Advanced Materials and Angewandte Chemie International Edition.
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.