Ying Cui

52 total papers · 603 total citations
26 papers, 292 citations indexed

About

Ying Cui is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Ying Cui has authored 26 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 12 papers in Computational Theory and Mathematics and 9 papers in Numerical Analysis. Recurrent topics in Ying Cui's work include Sparse and Compressive Sensing Techniques (12 papers), Optimization and Variational Analysis (10 papers) and Advanced Optimization Algorithms Research (9 papers). Ying Cui is often cited by papers focused on Sparse and Compressive Sensing Techniques (12 papers), Optimization and Variational Analysis (10 papers) and Advanced Optimization Algorithms Research (9 papers). Ying Cui collaborates with scholars based in United States, China and Singapore. Ying Cui's co-authors include Jong‐Shi Pang, Defeng Sun, Kim-Chuan Toh, Bodhisattva Sen, Xudong Li, Chenlei Leng, Xinyuan Zhao, Chao Ding, Ziyu He and Tsung‐Hui Chang and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Mathematical Programming and SIAM Journal on Optimization.

In The Last Decade

Ying Cui

24 papers receiving 279 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ying Cui	138	109	106	50	48	26	292
Pekka Neittaanmäki	131 0.9×	169 1.6×	100 0.9×	22 0.4×	14 0.3×	33	351
Yuyuan Ouyang	243 1.8×	105 1.0×	133 1.3×	39 0.8×	20 0.4×	17	346
Xiantao Xiao	78 0.6×	122 1.1×	124 1.2×	46 0.9×	14 0.3×	37	263
Michel Baes	62 0.4×	99 0.9×	94 0.9×	32 0.6×	14 0.3×	20	222
Dmitriy Drusvyatskiy	110 0.8×	202 1.9×	163 1.5×	18 0.4×	17 0.4×	37	316
Xingsi Li	39 0.3×	159 1.5×	141 1.3×	40 0.8×	15 0.3×	28	346
Mert Pilancı	186 1.3×	48 0.4×	49 0.5×	13 0.3×	71 1.5×	46	364
Saeed Ketabchi	49 0.4×	143 1.3×	169 1.6×	22 0.4×	8 0.2×	35	318
Pando Georgiev	43 0.3×	186 1.7×	83 0.8×	32 0.6×	16 0.3×	47	360
Charles Dossal	117 0.8×	62 0.6×	43 0.4×	9 0.2×	9 0.2×	18	233

Countries citing papers authored by Ying Cui

Since Specialization

Citations

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

Fields of papers citing papers by Ying Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Cui. A scholar is included among the top collaborators of Ying 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 Ying Cui. Ying Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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