Guangzhu Chen

99 total papers · 1.3k total citations
69 papers, 940 citations indexed

About

Guangzhu Chen is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guangzhu Chen has authored 69 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 18 papers in Materials Chemistry and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guangzhu Chen's work include Solid State Laser Technologies (23 papers), Luminescence Properties of Advanced Materials (18 papers) and Glass properties and applications (12 papers). Guangzhu Chen is often cited by papers focused on Solid State Laser Technologies (23 papers), Luminescence Properties of Advanced Materials (18 papers) and Glass properties and applications (12 papers). Guangzhu Chen collaborates with scholars based in China, United Kingdom and United States. Guangzhu Chen's co-authors include Changwei Miao, Yuanyuan Wu, Hang Yin, Lianhan Zhang, Gongbo Zhou, Xiaoming He, Zhencai Zhu, Hailing Fu, Yanjing Sun and Zhencai Zhu and has published in prestigious journals such as Optics Express, Sensors and Pattern Recognition.

In The Last Decade

Guangzhu Chen

64 papers receiving 906 citations

Hit Papers

Path planning optimizatio... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Guangzhu Chen 360 298 197 151 142 69 940
Tingting Sun 618 1.7× 177 0.6× 102 0.5× 120 0.8× 113 0.8× 119 1.1k
Yihui Feng 167 0.5× 165 0.6× 253 1.3× 212 1.4× 66 0.5× 55 1.2k
Koichi OZAKI 183 0.5× 330 1.1× 97 0.5× 138 0.9× 278 2.0× 166 963
Doo-Hyun Choi 245 0.7× 329 1.1× 297 1.5× 16 0.1× 35 0.2× 84 1.0k
Zhao Wang 182 0.5× 106 0.4× 162 0.8× 37 0.2× 46 0.3× 68 844
Stefan M. Holzer 172 0.5× 421 1.4× 131 0.7× 18 0.1× 334 2.4× 68 1.2k
R. Madhavan 375 1.0× 176 0.6× 302 1.5× 42 0.3× 284 2.0× 87 1.1k
Mohammad Danesh 117 0.3× 160 0.5× 323 1.6× 106 0.7× 190 1.3× 73 1.2k
Xinfang Zhang 454 1.3× 96 0.3× 401 2.0× 32 0.2× 235 1.7× 113 1.1k
Fenghua Wang 264 0.7× 130 0.4× 165 0.8× 84 0.6× 111 0.8× 107 939

Countries citing papers authored by Guangzhu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guangzhu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangzhu Chen

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