Linyan Cui

1.1k citations
58 papers · 923 · h-index 15

Impact in

Papers in

Linyan Cui

55 papers receiving 876 citations

Peers

Linyan Cui
Comparison fields: 5 of 39
  • Atomic and Molecular Physics, and Optics 351
  • Computer Vision and Pattern Recognition 229
  • Aerospace Engineering 185
  • Acoustics and Ultrasonics 8
  • Electrical and Electronic Engineering 323
Replace Jack N. Cederquist with:
Jack N. Cederquist United States
Robert E. Hufnagel United States
Eric C. Kintner United Kingdom
Aladin H. Kamel United States
Gilbert V. April Canada
Ning Zhou China
Charles L. Matson United States
Victor Filippovich Kravchenko Russia
David G. Falconer United States
C. J. Palermo United States
Linyan Cui relative to Jack N. Cederquist United States Jack N. Cederquist's profile →
Citations per field
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Jack N. Cederquist · 1×
Citations per year

Countries citing papers authored by Linyan Cui

Since Specialization
Citations

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

Fields of papers citing papers by Linyan Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Linyan 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 Linyan Cui Line = papers co-authored together Linyan Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017167
2 2019125
3 201565
4 201151
5 201540
6 202036
7 201135
8 202231
9 201130
10 201229
11 201427
12 201119
13 201319
14 201617
15 201416
16 201415
17 201214
18 201414
19 201514
20 201614

About Linyan Cui

Linyan Cui is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 58 papers that have together received 923 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (38 papers), Optical Wireless Communication Technologies (23 papers), 3D Shape Modeling and Analysis (7 papers), Robotics and Sensor-Based Localization (6 papers), Image and Video Stabilization (2 papers), Space Satellite Systems and Control (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (351 citations), Computer Vision and Pattern Recognition (229 citations), Aerospace Engineering (185 citations), Acoustics and Ultrasonics (8 citations) and Electrical and Electronic Engineering (323 citations). Linyan Cui has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Bindang Xue, Fugen Zhou, Xiangzhi Bai, Xiang Bai, Cong Yao, Shijian Lu, Baoguang Shi, Minghui Liao, Serge Belongie and Mingkun Yang. Their work appears in journals such as Optik, Journal of the Optical Society of America A, Optics Express, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

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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