Lizhen Qu

159 total papers · 2.9k total citations
50 papers, 538 citations indexed

About

Lizhen Qu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lizhen Qu has authored 50 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 8 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lizhen Qu's work include Topic Modeling (24 papers), Natural Language Processing Techniques (16 papers) and Multimodal Machine Learning Applications (7 papers). Lizhen Qu is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (16 papers) and Multimodal Machine Learning Applications (7 papers). Lizhen Qu collaborates with scholars based in Australia, China and United States. Lizhen Qu's co-authors include Gerhard Weikum, Georgiana Ifrim, Qiongkai Xu, Gholamreza Haffari, Paul Montague, Zhuang Li, Olivier De Vel, Jiawan Zhang, Shaodi You and Zhenglu Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Epidemiology and IEEE Transactions on Software Engineering.

In The Last Decade

Lizhen Qu

43 papers receiving 515 citations

Author Peers

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

Author Last Decade Papers Cites
Lizhen Qu 382 181 75 72 57 50 538
S. M. M. Tahaghoghi 281 0.7× 284 1.6× 151 2.0× 125 1.7× 22 0.4× 28 555
Chongyang Shi 285 0.7× 234 1.3× 55 0.7× 45 0.6× 33 0.6× 48 464
Edison Marrese-Taylor 420 1.1× 158 0.9× 55 0.7× 26 0.4× 28 0.5× 31 531
Eric Neufeld 245 0.6× 116 0.6× 67 0.9× 31 0.4× 16 0.3× 56 549
Hongtao Liu 255 0.7× 317 1.8× 58 0.8× 80 1.1× 79 1.4× 42 489
Xudong Liu 281 0.7× 272 1.5× 36 0.5× 55 0.8× 97 1.7× 40 563
Anne De Roeck 384 1.0× 351 1.9× 21 0.3× 30 0.4× 62 1.1× 37 604
Bert R. Boyce 282 0.7× 285 1.6× 65 0.9× 43 0.6× 11 0.2× 41 595
Junyi Jessy Li 419 1.1× 134 0.7× 33 0.4× 20 0.3× 70 1.2× 49 544
Thomas Reichherzer 357 0.9× 171 0.9× 103 1.4× 49 0.7× 12 0.2× 44 598

Countries citing papers authored by Lizhen Qu

Since Specialization
Citations

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

Fields of papers citing papers by Lizhen Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lizhen Qu

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