Xiaofang Hu
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Cellular and Molecular Neuroscience
- Topics
- Neural Networks Stability and Synchronization (17 papers)Advanced Memory and Neural Computing (12 papers)Advanced ceramic materials synthesis (6 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsElectrical and Electronic Engineering
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaofang Hu
48 papers receiving 589 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Electrical and Electronic Engineering 308
- Computer Networks and Communications 222
- Artificial Intelligence 117
- Statistical and Nonlinear Physics 106
- Cellular and Molecular Neuroscience 82
Countries citing papers authored by Xiaofang Hu
This map shows the geographic impact of Xiaofang 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 Xiaofang Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofang Hu more than expected).
Fields of papers citing papers by Xiaofang Hu
This network shows the impact of papers produced by Xiaofang 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 Xiaofang Hu. The network helps show where Xiaofang Hu may publish in the future.
Co-authorship network of co-authors of Xiaofang Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofang Hu. A scholar is included among the top collaborators of Xiaofang 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 Xiaofang Hu. Xiaofang 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 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 22 | |
| 10 | 51 | |
| 11 | 2 | |
| 12 | Full hardware implementation of neuromorphic visual system based on multimodal optoelectronic resistive memory arrays for versatile image processingbreakdown → | 129 |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 24 | |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 21 | |
| 19 | 0 | |
| 20 | 0 |
About Xiaofang Hu
Xiaofang Hu is a scholar working on Ceramics and Composites, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 58 papers that have together received 608 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (17 papers), Advanced Memory and Neural Computing (12 papers) and Advanced ceramic materials synthesis (6 papers). The work is most often cited by research in Computer Networks and Communications (222 citations), Statistical and Nonlinear Physics (106 citations) and Electrical and Electronic Engineering (308 citations). Xiaofang Hu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Leimin Wang, Lidan Wang, Shukai Duan, Yong He, Chuan‐Ke Zhang, Feng Xu, Bai Sun, Qunliang Song, Guangdong Zhou and Feichi Zhou. Their work appears in journals such as Nature Communications, Advanced Functional Materials and Carbon.
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.