Yijun Li
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 5%
- Materials Chemistry top 10%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Topics
- Advanced Memory and Neural Computing (19 papers)Ferroelectric and Negative Capacitance Devices (10 papers)Advanced biosensing and bioanalysis techniques (9 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Yijun Li
38 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Electrical and Electronic Engineering 1.1k
- Cellular and Molecular Neuroscience 374
- Materials Chemistry 372
- Artificial Intelligence 311
- Biomedical Engineering 288
Countries citing papers authored by Yijun Li
This map shows the geographic impact of Yijun 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 Yijun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yijun Li more than expected).
Fields of papers citing papers by Yijun Li
This network shows the impact of papers produced by Yijun 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 Yijun Li. The network helps show where Yijun Li may publish in the future.
Co-authorship network of co-authors of Yijun Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yijun Li. A scholar is included among the top collaborators of Yijun 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 Yijun Li. Yijun 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 | A memristor-based adaptive neuromorphic decoder for brain–computer interfacesbreakdown → | 27 |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 46 | |
| 11 | 25 | |
| 12 | A memristor-based analogue reservoir computing system for real-time and power-efficient signal processingbreakdown → | 221 |
| 13 | 12 | |
| 14 | 35 | |
| 15 | 20 | |
| 16 | 4 | |
| 17 | 12 | |
| 18 | 77 | |
| 19 | 57 | |
| 20 | 7 |
About Yijun Li
Yijun Li is a scholar working on Nuclear Energy and Engineering, Electrical and Electronic Engineering and Bioengineering, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (19 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Advanced biosensing and bioanalysis techniques (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (374 citations), Electrical and Electronic Engineering (1.1k citations) and Polymers and Plastics (198 citations). Yijun Li has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Jianshi Tang, Huaqiang Wu, Bin Gao, He Qian, Xinyi Li, J. Joshua Yang, Yuhao Sun, Sen Song, Mingyi Rao and Guo‐Qiang Bi. Their work appears in journals such as Advanced Materials, Nature Communications and Environmental Science & Technology.
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.