Yijun Cui

44 papers receiving 438 citations

Peers

Yijun Cui
Comparison fields: 5 of 23
  • Hardware and Architecture 391
  • Cellular and Molecular Neuroscience 145
  • Electrical and Electronic Engineering 351
  • Biophysics 26
  • Signal Processing 47
Replace Phuong Ha Nguyen with:
Phuong Ha Nguyen United States
Durga Prasad Sahoo India
Matthias Hiller Germany
Georg T. Becker Germany
Dominik Merli Germany
Fatemeh Tehranipoor United States
Vincent van der Leest Netherlands
Lilas Alrahis United States
Bicky Shakya United States
Ahmed Khairy Mahmoud Egypt
Yijun Cui relative to Phuong Ha Nguyen United States Phuong Ha Nguyen's profile →
Citations per field
00.5×1.5×1.9×
Phuong Ha Nguyen · 1×
Citations per year

Countries citing papers authored by Yijun Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yijun Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yijun 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 Yijun Cui Line = papers co-authored together Yijun Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201966
2 201646
3 201633
4 201531
5 201829
6 202120
7 201819
8 202018
9 202017
10 202013
11 202113
12 202213
13 202312
14 202012
15 202210
16 20217
17 20227
18 20197
19 20236
20 20196

About Yijun Cui

Yijun Cui is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Cellular and Molecular Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 443 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (37 papers), Integrated Circuits and Semiconductor Failure Analysis (30 papers), Advanced Memory and Neural Computing (19 papers), Neuroscience and Neural Engineering (16 papers), Cryptography and Data Security (6 papers), Coding theory and cryptography (6 papers), Cryptographic Implementations and Security (4 papers) and Quantum Computing Algorithms and Architecture (3 papers). The work is most often cited by research in Hardware and Architecture (391 citations), Cellular and Molecular Neuroscience (145 citations), Electrical and Electronic Engineering (351 citations), Biophysics (26 citations) and Signal Processing (47 citations). Yijun Cui has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Weiqiang Liu, Chongyan Gu, Chenghua Wang, Máire O׳Neill, Fabrizio Lombardi, Neil Hanley, Yifei Yu, Jiang Li, Máire O’Neill and Dongsheng Liu. Their work appears in journals such as IEEE Transactions on Nanotechnology, IEEE Transactions on Emerging Topics in Computing, Electronics, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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