Xiao Wu
- Electrical and Electronic Engineering
- Materials Chemistry
- Biomedical Engineering
- Electronic, Optical and Magnetic Materials
- Mechanical Engineering
- Co-authors
- Yongyuan ZangDavid BlaauwTian‐Ling RenDennis SylvesterDavid V. PlantHongwei ZhuDan XieYu Chen
- Topics
- Advanced Memory and Neural Computing (5 papers)Genomics and Phylogenetic Studies (4 papers)Transition Metal Oxide Nanomaterials (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersJournal of Applied Physics
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xiao Wu
31 papers receiving 517 citations
Peers
Comparison fields: 5 of 85
- Electrical and Electronic Engineering 209
- Materials Chemistry 169
- Biomedical Engineering 150
- Electronic, Optical and Magnetic Materials 142
- Mechanical Engineering 60
Countries citing papers authored by Xiao Wu
This map shows the geographic impact of Xiao Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Wu more than expected).
Fields of papers citing papers by Xiao Wu
This network shows the impact of papers produced by Xiao Wu. 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 Wu. The network helps show where Xiao Wu may publish in the future.
Co-authorship network of co-authors of Xiao Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Wu. A scholar is included among the top collaborators of Xiao Wu 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 Wu. Xiao Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | Energy Efficient Circuits and System for Internet of Things and Hardware Accelerator Design for Genome Sequencing | 1 |
| 9 | 34 | |
| 10 | 31 | |
| 11 | 5 | |
| 12 | 45 | |
| 13 | 48 | |
| 14 | 6 | |
| 15 | 13 | |
| 16 | 25 | |
| 17 | 4 | |
| 18 | 98 | |
| 19 | The Scientific Uplink and User Support System for SIRTF | 1 |
| 20 | 9 |
About Xiao Wu
Xiao Wu is a scholar working on Polymers and Plastics, Artificial Intelligence and Electronic, Optical and Magnetic Materials, having authored 32 papers that have together received 527 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), Genomics and Phylogenetic Studies (4 papers) and Transition Metal Oxide Nanomaterials (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (142 citations), Radiation (41 citations) and Polymers and Plastics (54 citations). Xiao Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yongyuan Zang, David Blaauw, Tian‐Ling Ren, Dennis Sylvester, David V. Plant, Hongwei Zhu, Dan Xie, Yu Chen, Kyojin Choo and Yejoong Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters 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.