Liquan Chen

243 total papers · 1.9k total citations
144 papers, 1.4k citations indexed

About

Liquan Chen is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Liquan Chen has authored 144 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 37 papers in Electrical and Electronic Engineering and 34 papers in Computer Networks and Communications. Recurrent topics in Liquan Chen's work include Cryptography and Data Security (32 papers), Blockchain Technology Applications and Security (19 papers) and Wireless Communication Security Techniques (18 papers). Liquan Chen is often cited by papers focused on Cryptography and Data Security (32 papers), Blockchain Technology Applications and Security (19 papers) and Wireless Communication Security Techniques (18 papers). Liquan Chen collaborates with scholars based in China, United Kingdom and Australia. Liquan Chen's co-authors include Chaoying Zhao, Zhezhuang Xu, Cailian Chen, Xinping Guan, Tianyu Lu, Suhui Liu, Xiaojie Liu, Chengsheng Yang, Frieder Scheiba and Christina Roth and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Applied Materials & Interfaces and IEEE Access.

In The Last Decade

Liquan Chen

124 papers receiving 1.3k citations

Hit Papers

Integration of Sentinel-1... 2021 2026 2022 2024 2021 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Liquan Chen 395 270 269 267 253 144 1.4k
Qi Zhang 176 0.4× 222 0.8× 254 0.9× 73 0.3× 439 1.7× 103 1.6k
Huiqiang Wang 297 0.8× 610 2.3× 230 0.9× 73 0.3× 368 1.5× 225 1.7k
Shuai Zhang 248 0.6× 108 0.4× 175 0.7× 148 0.6× 137 0.5× 71 1.2k
Shen Shen 447 1.1× 287 1.1× 125 0.5× 31 0.1× 172 0.7× 408 1.7k
Yixin Su 546 1.4× 92 0.3× 89 0.3× 51 0.2× 276 1.1× 137 1.6k
Shaohua Gao 455 1.2× 208 0.8× 307 1.1× 54 0.2× 107 0.4× 87 1.5k
Desheng Wang 608 1.5× 200 0.7× 189 0.7× 34 0.1× 86 0.3× 87 1.7k
Chao Zhu 416 1.1× 429 1.6× 62 0.2× 27 0.1× 160 0.6× 106 1.5k
Yubai Li 542 1.4× 170 0.6× 52 0.2× 150 0.6× 45 0.2× 116 1.3k
Haibin Wang 901 2.3× 137 0.5× 25 0.1× 126 0.5× 157 0.6× 113 1.4k

Countries citing papers authored by Liquan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Liquan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liquan Chen

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