Xinrui Cui

29 total papers · 1.5k total citations
17 papers, 1.3k citations indexed

About

Xinrui Cui is a scholar working on Mechanics of Materials, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Xinrui Cui has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanics of Materials, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Ocean Engineering. Recurrent topics in Xinrui Cui's work include Explainable Artificial Intelligence (XAI) (4 papers), Hydrocarbon exploration and reservoir analysis (4 papers) and Advanced Neural Network Applications (4 papers). Xinrui Cui is often cited by papers focused on Explainable Artificial Intelligence (XAI) (4 papers), Hydrocarbon exploration and reservoir analysis (4 papers) and Advanced Neural Network Applications (4 papers). Xinrui Cui collaborates with scholars based in Canada, China and United States. Xinrui Cui's co-authors include R.M. Bustin, A. M. M. Bustin, Daniel Ross, Dan Wang, Z. Jane Wang, Xun Chen, Peter I. Nábělek, Mengmeng Liu, Zhenwei Shi and Septimiu E. Salcudean and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Xinrui Cui

17 papers receiving 1.2k citations

Hit Papers

Measurements of gas perme... 2008 2026 2014 2020 2009 2008 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Xinrui Cui 992 723 604 195 175 17 1.3k
Zhilin Cheng 997 1.0× 716 1.0× 613 1.0× 226 1.2× 120 0.7× 68 1.6k
Nino Ripepi 1.0k 1.0× 910 1.3× 396 0.7× 370 1.9× 58 0.3× 49 1.4k
Ruarri J. Day-Stirrat 926 0.9× 442 0.6× 461 0.8× 65 0.3× 59 0.3× 34 1.3k
Harpreet Singh 1.2k 1.2× 1.1k 1.5× 1.0k 1.7× 187 1.0× 140 0.8× 60 1.8k
Jens-Oliver Schwarz 567 0.6× 621 0.9× 363 0.6× 40 0.2× 71 0.4× 20 1.1k
Xiaojiao Pang 1.4k 1.4× 721 1.0× 861 1.4× 45 0.2× 352 2.0× 24 1.6k
Weichao Yan 877 0.9× 558 0.8× 475 0.8× 31 0.2× 309 1.8× 62 1.2k
Xuqiang Fan 1.5k 1.5× 770 1.1× 889 1.5× 38 0.2× 400 2.3× 15 1.6k
Minhui Lee 597 0.6× 735 1.0× 436 0.7× 28 0.1× 45 0.3× 14 1.2k
Zhibo He 1.0k 1.0× 551 0.8× 638 1.1× 30 0.2× 245 1.4× 8 1.1k

Countries citing papers authored by Xinrui Cui

Since Specialization
Citations

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

Fields of papers citing papers by Xinrui Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinrui Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Xinrui Cui. A scholar is included among the top collaborators of Xinrui 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 Xinrui Cui. Xinrui 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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