Guang Chen

529 total papers · 7.4k total citations
286 papers, 4.9k citations indexed

About

Guang Chen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Guang Chen has authored 286 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 65 papers in Electrical and Electronic Engineering and 54 papers in Artificial Intelligence. Recurrent topics in Guang Chen's work include Autonomous Vehicle Technology and Safety (28 papers), Advanced Memory and Neural Computing (26 papers) and Robotics and Sensor-Based Localization (25 papers). Guang Chen is often cited by papers focused on Autonomous Vehicle Technology and Safety (28 papers), Advanced Memory and Neural Computing (26 papers) and Robotics and Sensor-Based Localization (25 papers). Guang Chen collaborates with scholars based in China, Germany and Sweden. Guang Chen's co-authors include Alois Knoll, Zhijun Li, Manli Lu, Bing Xu, Nian‐Shing Chen, Jörg Conradt, Hu Cao, Florian Röhrbein, Yinlong Liu and Cheng Song and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Guang Chen

259 papers receiving 4.7k citations

Hit Papers

Exploring blockchain tech... 2018 2026 2020 2023 2018 2020 2024 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Guang Chen 1.2k 1.1k 637 624 548 286 4.9k
Reza Malekian 1.2k 1.0× 704 0.7× 1.1k 1.7× 516 0.8× 378 0.7× 197 5.2k
Wai Lok Woo 1.4k 1.2× 1.0k 1.0× 746 1.2× 844 1.4× 324 0.6× 446 6.6k
L.M. Patnaik 1.2k 1.0× 1.3k 1.2× 627 1.0× 2.0k 3.3× 596 1.1× 303 6.3k
Yue Wang 999 0.9× 1.1k 1.0× 1.3k 2.0× 1.1k 1.8× 672 1.2× 391 6.6k
Qi Hao 1.4k 1.2× 1.5k 1.4× 548 0.9× 929 1.5× 435 0.8× 217 6.0k
Tao Hai 1.5k 1.3× 2.8k 2.6× 495 0.8× 1.1k 1.8× 444 0.8× 367 7.8k
Jie Liu 706 0.6× 324 0.3× 900 1.4× 881 1.4× 276 0.5× 293 4.4k
Yong Guan 912 0.8× 629 0.6× 1.0k 1.6× 670 1.1× 196 0.4× 211 3.7k
Jinglin Li 1.1k 0.9× 335 0.3× 436 0.7× 457 0.7× 490 0.9× 175 3.1k
Meiqin Liu 1.1k 1.0× 614 0.6× 1.3k 2.1× 936 1.5× 529 1.0× 308 4.5k

Countries citing papers authored by Guang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Chen

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