Xuan Hu
- Electrical and Electronic Engineering top 10%
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Materials Chemistry
- Co-authors
- Joseph S. FriedmanJean Anne C. IncorviaChristopher H. BennettFelipe García‐SánchezMatthew MarinellaCan CuiM. PasqualeSébastien Cueff
- Topics
- Advanced Memory and Neural Computing (21 papers)Ferroelectric and Negative Capacitance Devices (14 papers)Neural Networks and Reservoir Computing (11 papers)
- Cited by
- Electrical and Electronic EngineeringAtomic and Molecular Physics, and OpticsArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaACS NanoApplied Physics Letters
- Partner nations
- United StatesSpainItaly
In The Last Decade
Xuan Hu
37 papers receiving 423 citations
Peers
Comparison fields: 5 of 36
- Electrical and Electronic Engineering 384
- Atomic and Molecular Physics, and Optics 144
- Artificial Intelligence 131
- Cellular and Molecular Neuroscience 58
- Materials Chemistry 28
Countries citing papers authored by Xuan Hu
This map shows the geographic impact of Xuan Hu'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 Xuan Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuan Hu more than expected).
Fields of papers citing papers by Xuan Hu
This network shows the impact of papers produced by Xuan Hu. 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 Xuan Hu. The network helps show where Xuan Hu may publish in the future.
Co-authorship network of co-authors of Xuan Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Xuan Hu. A scholar is included among the top collaborators of Xuan Hu 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 Xuan Hu. Xuan Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 30 | |
| 10 | 15 | |
| 11 | 0 | |
| 12 | 21 | |
| 13 | 44 | |
| 14 | 23 | |
| 15 | 29 | |
| 16 | 39 | |
| 17 | 23 | |
| 18 | 4 | |
| 19 | 8 | |
| 20 | 54 |
About Xuan Hu
Xuan Hu is a scholar working on Acoustics and Ultrasonics, Electrical and Electronic Engineering and Artificial Intelligence, having authored 41 papers that have together received 433 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (21 papers), Ferroelectric and Negative Capacitance Devices (14 papers) and Neural Networks and Reservoir Computing (11 papers). The work is most often cited by research in Electrical and Electronic Engineering (384 citations), Atomic and Molecular Physics, and Optics (144 citations) and Artificial Intelligence (131 citations). Xuan Hu has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Joseph S. Friedman, Jean Anne C. Incorvia, Christopher H. Bennett, Felipe García‐Sánchez, Matthew Marinella, Can Cui, M. Pasquale, Sébastien Cueff, Régis Orobtchouk and Pédro Rojo Romeo. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Applied 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.