Yangrui Chen

8 total papers · 754 total citations
3 papers, 500 citations indexed

About

Yangrui Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Yangrui Chen has authored 3 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Computer Networks and Communications and 1 paper in Information Systems. Recurrent topics in Yangrui Chen's work include Advanced Neural Network Applications (2 papers), Brain Tumor Detection and Classification (1 paper) and Machine Learning and ELM (1 paper). Yangrui Chen is often cited by papers focused on Advanced Neural Network Applications (2 papers), Brain Tumor Detection and Classification (1 paper) and Machine Learning and ELM (1 paper). Yangrui Chen collaborates with scholars based in Hong Kong. Yangrui Chen's co-authors include Chuanxiong Guo, Chuan Wu, Yixin Bao, Yanghua Peng, Yibo Zhu, Chang Lan and Bairen Yi and has published in prestigious journals such as .

In The Last Decade

Yangrui Chen

3 papers receiving 489 citations

Hit Papers

Optimus 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Optimus
    2018 270 citations Yanghua Peng, Yixin Bao et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Yangrui Chen 268 246 228 204 93 3 500
Meghan Cowan 132 0.5× 249 1.0× 51 0.2× 311 1.5× 223 2.4× 6 564
Suchit Subhaschandra 171 0.6× 144 0.6× 54 0.2× 222 1.1× 213 2.3× 8 517
Andrew Ng 63 0.2× 294 1.2× 45 0.2× 229 1.1× 62 0.7× 4 529
Harold Lim 459 1.7× 142 0.6× 471 2.1× 85 0.4× 66 0.7× 7 610
Subarno Banerjee 310 1.2× 92 0.4× 147 0.6× 119 0.6× 302 3.2× 10 520
Pratyush Mishra 153 0.6× 431 1.8× 178 0.8× 80 0.4× 21 0.2× 11 613
Wei Dai 199 0.7× 207 0.8× 110 0.5× 162 0.8× 23 0.2× 12 580
Gabriel Weisz 184 0.7× 154 0.6× 57 0.3× 206 1.0× 247 2.7× 11 501
Xiumin Zhou 367 1.4× 125 0.5× 298 1.3× 96 0.5× 93 1.0× 13 605
Adnan Mohsin Abdulazeez Brifcani 232 0.9× 337 1.4× 43 0.2× 86 0.4× 18 0.2× 11 488

Countries citing papers authored by Yangrui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yangrui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangrui Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yangrui Chen. A scholar is included among the top collaborators of Yangrui Chen 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 Yangrui Chen. Yangrui Chen 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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2026