Yukui Luo

503 citations
28 papers · 316 · h-index 10

Impact in

Papers in

    • Adversarial Robustness in Machine Learning 8
    • Cryptographic Implementations and Security 7
    • Security and Verification in Computing 7
    • Cryptography and Data Security 4
    • Privacy-Preserving Technologies in Data 4
    • Advanced Memory and Neural Computing 4

Yukui Luo

28 papers receiving 308 citations

Peers

Yukui Luo
Comparison fields: 5 of 56
  • Hardware and Architecture 115
  • Artificial Intelligence 144
  • Computer Vision and Pattern Recognition 72
  • Signal Processing 32
  • Pollution 29
Replace Thomas Shrimpton with:
Thomas Shrimpton United States
Jim Nilsson Sweden
Hiroshi Saito Japan
Vincent Hwang United States
E. Filippi Italy
Russell Knight United States
Qifan Zhang China
Christian Schilling Germany
Yukui Luo relative to Thomas Shrimpton United States Thomas Shrimpton's profile →
Citations per field
00.5×3.7×
Thomas Shrimpton · 1×
Citations per year

Countries citing papers authored by Yukui Luo

Since Specialization
Citations

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

Fields of papers citing papers by Yukui Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202078
2 202048
3 202030
4 202129
5 201924
6 202117
7 202013
8 202310
9 202310
10 20209
11 20188
12 20245
13 20205
14 20174
15 20224
16 20213
17 20243
18 20202
19 20172
20 20212

About Yukui Luo

Yukui Luo is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Hardware and Architecture, Computer Vision and Pattern Recognition and Signal Processing, having authored 28 papers that have together received 316 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (12 papers), Adversarial Robustness in Machine Learning (8 papers), Cryptographic Implementations and Security (7 papers), Security and Verification in Computing (7 papers), Advanced Neural Network Applications (5 papers), Cryptography and Data Security (4 papers), Advanced Memory and Neural Computing (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Hardware and Architecture (115 citations), Artificial Intelligence (144 citations), Computer Vision and Pattern Recognition (72 citations), Signal Processing (32 citations) and Pollution (29 citations). Yukui Luo has collaborated with scholars based in United States, Mexico and China. Frequent co-authors include Xiaolin Xu, Wenwen Fang, Zhili He, Philippe Juneau, Qihong Lu, Shanquan Wang, Nandakishor Yadav, Zhiwei Liang, Wenhao Wang and Sheng Wei. Their work appears in journals such as ACM Transactions on Design Automation of Electronic Systems, IEEE Access, Journal of Hazardous Materials, IEEE Transactions on Circuits and Systems I Regular Papers and Electronics.

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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