Ruoran Liu

25 total papers · 1.2k total citations
19 papers, 790 citations indexed

About

Ruoran Liu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Ruoran Liu has authored 19 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Ruoran Liu's work include Photonic and Optical Devices (6 papers), Sentiment Analysis and Opinion Mining (4 papers) and Complex Network Analysis Techniques (4 papers). Ruoran Liu is often cited by papers focused on Photonic and Optical Devices (6 papers), Sentiment Analysis and Opinion Mining (4 papers) and Complex Network Analysis Techniques (4 papers). Ruoran Liu collaborates with scholars based in China, United States and Canada. Ruoran Liu's co-authors include Manuel Blum, Luis von Ahn, Qiudan Li, Shiry Ginosar, Daniel Zeng, Douglas Turnbull, Luke Barrington, Yongcheng Zhan, Gert Lanckriet and Scott J. Leischow and has published in prestigious journals such as Optics Letters, Journal of Medical Internet Research and Journal of Retailing and Consumer Services.

In The Last Decade

Ruoran Liu

17 papers receiving 727 citations

Hit Papers

Peekaboom 2006 2026 2012 2019 2006 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Ruoran Liu 266 245 212 116 98 19 790
Jing Zhao 123 0.5× 118 0.5× 164 0.8× 74 0.6× 195 2.0× 64 777
Ying-Hsun Lai 138 0.5× 104 0.4× 70 0.3× 128 1.1× 339 3.5× 50 882
Dino Schweitzer 177 0.7× 70 0.3× 127 0.6× 129 1.1× 18 0.2× 45 638
Amar Aggoun 302 1.1× 77 0.3× 28 0.1× 34 0.3× 111 1.1× 46 718
F. David Fracchia 432 1.6× 165 0.7× 34 0.2× 244 2.1× 12 0.1× 33 848
Jiangbo Shu 163 0.6× 227 0.9× 139 0.7× 238 2.1× 31 0.3× 38 714
Chris Brown 294 1.1× 108 0.4× 66 0.3× 135 1.2× 18 0.2× 58 738
Cheng-Kang Hsieh 235 0.9× 316 1.3× 53 0.3× 427 3.7× 98 1.0× 19 804
Lee Iverson 263 1.0× 96 0.4× 24 0.1× 127 1.1× 14 0.1× 27 685
Justin Talbot 424 1.6× 267 1.1× 27 0.1× 203 1.8× 20 0.2× 19 775

Countries citing papers authored by Ruoran Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ruoran Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoran Liu

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