Yue Xi

2.0k total citations · 2 hit papers
57 papers, 1.5k citations indexed

About

Yue Xi is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yue Xi has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 9 papers in Artificial Intelligence and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yue Xi's work include Advanced Memory and Neural Computing (48 papers), Ferroelectric and Negative Capacitance Devices (33 papers) and Semiconductor materials and devices (15 papers). Yue Xi is often cited by papers focused on Advanced Memory and Neural Computing (48 papers), Ferroelectric and Negative Capacitance Devices (33 papers) and Semiconductor materials and devices (15 papers). Yue Xi collaborates with scholars based in China, United States and Singapore. Yue Xi's co-authors include Huaqiang Wu, Bin Gao, He Qian, Jianshi Tang, Peng Yao, Qingtian Zhang, Zhengwu Liu, Xinyi Li, Yijun Li and Meiran Zhao and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yue Xi

51 papers receiving 1.5k citations

Hit Papers

A memristor-based analogue reservoir computing system for... 2022 2026 2023 2024 2022 2025 50 100 150 200

Peers

Yue Xi
Comparison fields: 5 of 86
  • Electrical and Electronic Engineering 1.3k
  • Cellular and Molecular Neuroscience 366
  • Artificial Intelligence 303
  • Cognitive Neuroscience 211
  • Polymers and Plastics 209
Replace Sung‐Hyun Jo with:
Sung‐Hyun Jo South Korea
Byung Chul Jang South Korea
Zelin Cao China
Seung Ryul Lee South Korea
Matthew Jerry United States
Vikas Rana Germany
Luke Theogarajan United States
Xinyi Li China
Jong‐Ho Bae South Korea
Haijun Liu China
Sung‐Hyun Jo South Korea View profile →
Citations per field, relative to Yue Xi
Yue Xi · 1×
Citations per year, relative to Yue Xi
Yue Xi · 1×

Countries citing papers authored by Yue Xi

Since Specialization
Citations

This map shows the geographic impact of Yue Xi'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 Yue Xi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Xi more than expected).

Fields of papers citing papers by Yue Xi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yue Xi. 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 Yue Xi. The network helps show where Yue Xi may publish in the future.

Co-authorship network of co-authors of Yue Xi

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Xi. A scholar is included among the top collaborators of Yue Xi 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 Yue Xi. Yue Xi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
A memristor-based adaptive neuromorphic decoder for brain–computer interfaces breakdown →
27
2 0
3 3
4 1
5 3
6 46
7 5
8 1
9 3
10 46
11 2
12 89
13
A memristor-based analogue reservoir computing system for real-time and power-efficient signal processing breakdown →
221
14 15
15 11
16 151
17 25
18 56
19 18
20 48

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.

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