Xi Jin
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Polymers and Plastics
- Topics
- Advanced Memory and Neural Computing (12 papers)Parallel Computing and Optimization Techniques (9 papers)Ferroelectric and Negative Capacitance Devices (8 papers)
- Cited by
- Electrical and Electronic EngineeringHardware and ArchitectureCellular and Molecular Neuroscience
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xi Jin
46 papers receiving 694 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Electrical and Electronic Engineering 525
- Materials Chemistry 204
- Artificial Intelligence 96
- Cellular and Molecular Neuroscience 94
- Polymers and Plastics 68
Countries citing papers authored by Xi Jin
This map shows the geographic impact of Xi Jin'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 Xi Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Jin more than expected).
Fields of papers citing papers by Xi Jin
This network shows the impact of papers produced by Xi Jin. 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 Xi Jin. The network helps show where Xi Jin may publish in the future.
Co-authorship network of co-authors of Xi Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Xi Jin. A scholar is included among the top collaborators of Xi Jin 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 Xi Jin. Xi Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | High-precision and linear weight updates by subnanosecond pulses in ferroelectric tunnel junction for neuro-inspired computingbreakdown → | 162 |
| 10 | 11 | |
| 11 | 8 | |
| 12 | 239 | |
| 13 | 68 | |
| 14 | 10 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 16 | |
| 19 | 0 | |
| 20 | How to Adhere to "Faithfulness,Expressiveness and Elegance" in the Translation of English for Speciality | 1 |
About Xi Jin
Xi Jin is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 49 papers that have together received 721 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Parallel Computing and Optimization Techniques (9 papers) and Ferroelectric and Negative Capacitance Devices (8 papers). The work is most often cited by research in Electrical and Electronic Engineering (525 citations), Hardware and Architecture (43 citations) and Cellular and Molecular Neuroscience (94 citations). Xi Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Letian Zhao, Chao Ma, Yuewei Yin, Haoyang Sun, Zhen Luo, Chuanchuan Liu, Xiaoguang Li, Yue Lin, Weichuan Huang and Xiang Liu. Their work appears in journals such as Nature Communications, Energy & Environmental Science and Journal of Hazardous Materials.
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.