Xinyi Li
- Electrical and Electronic Engineering top 2%
- Cellular and Molecular Neuroscience top 2%
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 5%
- Polymers and Plastics top 5%
- Topics
- Advanced Memory and Neural Computing (26 papers)Ferroelectric and Negative Capacitance Devices (13 papers)Neural dynamics and brain function (12 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringCognitive Neuroscience
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xinyi Li
30 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Electrical and Electronic Engineering 2.1k
- Cellular and Molecular Neuroscience 777
- Artificial Intelligence 772
- Cognitive Neuroscience 599
- Polymers and Plastics 298
Countries citing papers authored by Xinyi Li
This map shows the geographic impact of Xinyi Li'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 Xinyi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyi Li more than expected).
Fields of papers citing papers by Xinyi Li
This network shows the impact of papers produced by Xinyi Li. 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 Xinyi Li. The network helps show where Xinyi Li may publish in the future.
Co-authorship network of co-authors of Xinyi Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xinyi Li. A scholar is included among the top collaborators of Xinyi Li 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 Xinyi Li. Xinyi Li 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 | 16 | |
| 4 | 89 | |
| 5 | A memristor-based analogue reservoir computing system for real-time and power-efficient signal processingbreakdown → | 221 |
| 6 | 4 | |
| 7 | Dynamic memristor-based reservoir computing for high-efficiency temporal signal processingbreakdown → | 428 |
| 8 | 8 | |
| 9 | 26 | |
| 10 | 14 | |
| 11 | 135 | |
| 12 | 209 | |
| 13 | 55 | |
| 14 | 48 | |
| 15 | 85 | |
| 16 | 58 | |
| 17 | 20 | |
| 18 | 2 | |
| 19 | 126 | |
| 20 | 11 |
About Xinyi Li
Xinyi Li is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 31 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and Neural dynamics and brain function (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (777 citations), Electrical and Electronic Engineering (2.1k citations) and Cognitive Neuroscience (599 citations). Xinyi Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huaqiang Wu, He Qian, Bin Gao, Jianshi Tang, Ya‐Nan Zhong, Peng Yao, Yijun Li, J. Joshua Yang, Sen Song and Wenbin Zhang. Their work appears in journals such as Advanced Materials, Nature Communications and Nature Nanotechnology.
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.