Yu Cui

2.3k total citations · 2 hit papers
54 papers, 1.4k citations indexed

About

Yu Cui is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Yu Cui has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 10 papers in Computer Networks and Communications. Recurrent topics in Yu Cui's work include Data Management and Algorithms (12 papers), Human Mobility and Location-Based Analysis (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Yu Cui is often cited by papers focused on Data Management and Algorithms (12 papers), Human Mobility and Location-Based Analysis (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Yu Cui collaborates with scholars based in China, United States and Australia. Yu Cui's co-authors include Beng Chin Ooi, Kian‐Lee Tan, H. V. Jagadish, Rui Zhang, Jianguo Zhu, Jun Lin, Jin Ma, Qing He, Chuishi Meng and Jing Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Transportation Research Part C Emerging Technologies.

In The Last Decade

Yu Cui

54 papers receiving 1.4k citations

Hit Papers

iDistance 2005 2026 2012 2019 2005 2021 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yu Cui China 14 611 486 378 330 230 54 1.4k
Mário A. Nascimento Canada 21 774 1.3× 520 1.1× 674 1.8× 407 1.2× 122 0.5× 127 1.8k
Guan Yuan China 19 332 0.5× 242 0.5× 168 0.4× 365 1.1× 238 1.0× 75 1.3k
Yingjie Xia China 22 229 0.4× 703 1.4× 312 0.8× 487 1.5× 211 0.9× 117 1.7k
Joachim Gudmundsson Australia 21 888 1.5× 429 0.9× 286 0.8× 216 0.7× 81 0.4× 111 1.7k
Muhammad Aamir Cheema Australia 21 869 1.4× 286 0.6× 465 1.2× 193 0.6× 105 0.5× 104 1.4k
Zhisong Pan China 16 217 0.4× 287 0.6× 227 0.6× 558 1.7× 134 0.6× 123 1.1k
Thomas Brinkhoff Germany 12 1.2k 2.0× 269 0.6× 737 1.9× 382 1.2× 88 0.4× 32 1.6k
Zhenhua Li China 23 324 0.5× 454 0.9× 783 2.1× 355 1.1× 280 1.2× 163 1.8k
Matthias Renz Germany 18 823 1.3× 237 0.5× 311 0.8× 301 0.9× 25 0.1× 98 1.2k

Countries citing papers authored by Yu Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yu Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Cui. A scholar is included among the top collaborators of Yu Cui 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 Yu Cui. Yu Cui 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
1.
Yan, Shaohui, et al.. (2024). A fractional-order hyperchaotic system that is period in integer-order case and its application in a novel high-quality color image encryption algorithm. Chaos Solitons & Fractals. 182. 114793–114793. 21 indexed citations
2.
Yan, Shaohui, et al.. (2024). Development of an Image Encryption Algorithm Based on Compressed Sensing and Chaotic Mapping. IEEE Multimedia. 31(4). 49–59. 4 indexed citations
3.
Cui, Yu, et al.. (2024). A Phenotypic Learning Classifier System for Problems with Continuous Features. Proceedings of the Genetic and Evolutionary Computation Conference. 349–357. 1 indexed citations
4.
Cheng, Yu‐Chen, Zhuoqun Li, Chengjiang Wang, et al.. (2024). Data encryption/decryption and medical image reconstruction based on a sustainable biomemristor designed logic gate circuit. Materials Today Bio. 29. 101257–101257. 7 indexed citations
5.
Yan, Shaohui, et al.. (2024). A novel plaintext-related dynamic DNA image encryption algorithm based on a 4D conservative chaotic system. Physica Scripta. 99(10). 105215–105215. 4 indexed citations
6.
Bian, Zheng, et al.. (2023). A new three-dimensional conservative system with non - Hamiltonian energy and its synchronization application. Integration. 94. 102075–102075. 7 indexed citations
7.
Yan, Shaohui, et al.. (2023). Dynamical analysis of a novel chaotic system and its application to image encryption. Microelectronic Engineering. 279. 112054–112054. 4 indexed citations
8.
Yan, Shaohui, et al.. (2023). A new locally active memristor and its chaotic system with infinite nested coexisting attractors. Nonlinear Dynamics. 111(18). 17547–17560. 11 indexed citations
9.
Wang, Haitao, Ning Wang, Haiyang Jiang, et al.. (2023). Optimal decision‐making method of transmission lines' maintenance sequence under extreme ice disasters. SHILAP Revista de lepidopterología. 4(3). 171–178. 3 indexed citations
10.
Liu, Yuyan, et al.. (2023). The Application of GIS Technology in the Construction of Smart City. Academic Journal of Science and Technology. 5(2). 183–186. 3 indexed citations
11.
Yan, Shaohui, et al.. (2023). A new fractional-order 5D memristive chaotic system with special extreme multistability and its application to image encryption. Physica Scripta. 98(12). 125234–125234. 5 indexed citations
13.
Liu, Lu, et al.. (2022). Three-Dimensional Dynamic Formation of Second-Order Multi-Agent System Based on Rigid Graphs. Processes. 10(10). 1961–1961. 2 indexed citations
14.
Cui, Yu, Qing He, & Ling Bian. (2021). Generating a synthetic probabilistic daily activity-location schedule using large-scale, long-term and low-frequency smartphone GPS data with limited activity information. Transportation Research Part C Emerging Technologies. 132. 103408–103408. 6 indexed citations
15.
Lin, Jun, Jin Ma, Jianguo Zhu, & Yu Cui. (2021). Short-term load forecasting based on LSTM networks considering attention mechanism. International Journal of Electrical Power & Energy Systems. 137. 107818–107818. 201 indexed citations breakdown →
16.
Meng, Chuishi, Yu Cui, Qing He, Lü Su, & Jing Gao. (2019). Towards the Inference of Travel Purpose with Heterogeneous Urban Data. IEEE Transactions on Big Data. 8(1). 166–177. 8 indexed citations
17.
Liu, Chao, et al.. (2015). The Influence of Igneous Intrusion to Detrital Reservoir: Advances and Outlook. Diqiu kexue jinzhan. 30(6). 654. 11 indexed citations
18.
Cui, Yu. (2009). Positive Solutions of Singular Boundary Value Problems of Fourth-Order Differential Equations. Journal of Mathematical Research and Exposition. 2 indexed citations
19.
Cui, Yu. (2002). High-dimensional indexing: transformational approaches to high-dimensional range and similarity searches. DIAL (Catholic University of Leuven). 13 indexed citations
20.
Cui, Yu, Beng Chin Ooi, Kian‐Lee Tan, & H. V. Jagadish. (2001). Indexing the Distance: An Efficient Method to KNN Processing. Very Large Data Bases. 421–430. 179 indexed citations

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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