Li Cui

793 citations
21 papers · 620 · 1 hit paper · h-index 10

Impact in

Papers in

Li Cui

18 papers receiving 608 citations

Li Cui's Hit Papers

Brain-Like Initial-Boosted Hyperchaos and Application in Biomedical Image Encryption 2022 · 236 citations
2360+1+2Years since publication50100150200

Peers

Li Cui
Comparison fields: 5 of 47
  • Statistical and Nonlinear Physics 361
  • Computer Vision and Pattern Recognition 236
  • Computer Networks and Communications 167
  • Cognitive Neuroscience 104
  • Artificial Intelligence 134
Replace Zinan Zhang with:
Zinan Zhang China
Zhiqiang Wan China
Qiuzhen Wan China
Xinxin Kong China
Xianming Wu China
Paul Didier Kamdem Kuate Cameroon
Recai Kılıç Türkiye
Li Cui relative to Zinan Zhang China Zinan Zhang's profile →
Citations per field
00.5×10×16×
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Citations per year

Countries citing papers authored by Li Cui

Since Specialization
Citations

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

Fields of papers citing papers by Li Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Brain-Like Initial-Boosted Hyperchaos and Application in Biomedical Image Encryption
Hit paper breakdown →
2022236
2 2022132
3 202062
4 202353
5 201931
6 202324
7 202018
8 202115
9 202111
10 20229
11 20217
12 20206
13 20185
14 20234
15 20133
16 20212
17 20181
18
Positive Solutions for p-Laplacian Singular Sturm-Liouville Boundary Value Problems
20021
19 20250
20 20210

About Li Cui

Li Cui is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, having authored 21 papers that have together received 620 indexed citations. Recurring topics across this work include Chaos control and synchronization (10 papers), Advanced Memory and Neural Computing (5 papers), stochastic dynamics and bifurcation (5 papers), Chaos-based Image/Signal Encryption (4 papers), Quantum chaos and dynamical systems (3 papers), Neural Networks and Applications (3 papers), HVDC Systems and Fault Protection (2 papers) and Neural Networks Stability and Synchronization (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (361 citations), Computer Vision and Pattern Recognition (236 citations), Computer Networks and Communications (167 citations), Cognitive Neuroscience (104 citations) and Artificial Intelligence (134 citations). Li Cui has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hairong Lin, Yichuang Sun, Chunhua Wang, Fei Yu, Cong Xu, Wei Yao, Xin Zhang, Jie Jin, Ming Lu and Hao Duan. Their work appears in journals such as Nonlinear Dynamics, Complexity, Chaos Solitons & Fractals, Inverse Problems and IEEE Transactions on Industrial Informatics.

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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