Xiaoxin Cui

974 citations
141 papers · 648 · h-index 12

Impact in

Papers in

Xiaoxin Cui

123 papers receiving 635 citations

Peers

Xiaoxin Cui
Comparison fields: 5 of 49
  • Hardware and Architecture 113
  • Electrical and Electronic Engineering 515
  • Cellular and Molecular Neuroscience 89
  • Cognitive Neuroscience 86
  • Artificial Intelligence 152
Replace Anh Tuan with:
Anh Tuan Singapore
Wenfeng Zhao United States
Richard Linderman United States
Visvesh Sathe United States
Alexandre Valentian France
Antonio J. Acosta Spain
Shuangchen Li China
Bo Marr United States
Phil Knag United States
Xiaoxin Cui relative to Anh Tuan Singapore Anh Tuan's profile →
Citations per field
00.5×1.5×2.3×
Anh Tuan · 1×
Citations per year

Countries citing papers authored by Xiaoxin Cui

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxin Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoxin Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoxin Cui Line = papers co-authored together Xiaoxin Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202147
2 201438
3 201723
4 202222
5 202320
6 202215
7 202314
8 202314
9 201913
10 201913
11 202112
12 201612
13 201411
14 202411
15 201311
16 202310
17 201610
18 201710
19 202210
20 20209

About Xiaoxin Cui

Xiaoxin Cui is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 141 papers that have together received 648 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (75 papers), Ferroelectric and Negative Capacitance Devices (47 papers), Neuroscience and Neural Engineering (22 papers), Physical Unclonable Functions (PUFs) and Hardware Security (22 papers), Semiconductor materials and devices (22 papers), Neural dynamics and brain function (22 papers), Neural Networks and Reservoir Computing (14 papers) and Integrated Circuits and Semiconductor Failure Analysis (13 papers). The work is most often cited by research in Hardware and Architecture (113 citations), Electrical and Electronic Engineering (515 citations), Cellular and Molecular Neuroscience (89 citations), Cognitive Neuroscience (86 citations) and Artificial Intelligence (152 citations). Xiaoxin Cui has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaole Cui, Dunshan Yu, Yuan Wang, Nan Liao, Kefei Liu, Kai Liao, Ru Huang, Kaisheng Ma, Xin’an Wang and Yi Zhong. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, Science China Information Sciences, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Journal of the Electron Devices Society and Frontiers in Neuroscience.

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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