Lizhen Qu

2.9k total citations
50 papers, 546 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 546 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, Zhenglu Yang, Jiawan Zhang and Shaodi You 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

45 papers receiving 524 citations

Peers

Lizhen Qu

CVPR

SOFTW

Junyi Jessy Li United States

Wafaa S. El-Kassas Egypt

Edison Marrese-Taylor Japan

Eric Breck United States

Ricardo Marcondes Marcacini Brazil

Seema Nagar India

Jichuan Zeng Hong Kong

Stella Biderman United States

Zhijing Jin United States

Chongyang Shi China

Junyi Jessy Li United States

Lizhen Qu

421 ×1.1

135 ×0.7

33 ×0.4

CVPR

20 ×0.3

70 ×1.2

SOFTW

Citations per year, relative to Lizhen Qu Lizhen Qu (= 1×) peers Junyi Jessy Li

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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20 of 20 papers shown

Qu, Lizhen, et al.. (2025). Using artificial intelligence to semi-automate trustworthiness assessment of randomized controlled trials: a case study. Journal of Clinical Epidemiology. 180. 111672–111672. 1 indexed citations

Li, Boying, Lizhen Qu, Julián Gutiérrez, et al.. (2025). NEUSIS: A Compositional Neuro-Symbolic Framework for Autonomous Perception, Reasoning, and Planning in Complex UAV Search Missions. IEEE Robotics and Automation Letters. 10(9). 9502–9509. 1 indexed citations

Zhang, Yukun, et al.. (2025). From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning. Neurocomputing. 647. 130572–130572.

Huang, Yujin, et al.. (2024). Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction. 8139–8156. 1 indexed citations

Wu, Minghao, et al.. (2024). Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. 14226–14240.

Wang, Weiqing, et al.. (2024). Scalable Frame-Based Construction of Sociocultural Norm Bases for Socially Aware Dialogues. ACM Transactions on Multimedia Computing Communications and Applications. 21(11). 1–17.

Burgess, Paul, et al.. (2024). Using Generative AI to Identify Arguments in Judges’ Reasons: Accuracy and Benefits for Students. SHILAP Revista de lepidopterología. 6(3). 5–22. 3 indexed citations

Feng, Tao, et al.. (2024). IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models. Monash University Research Portal (Monash University). 2625–2639.

Butler, Matthew, et al.. (2024). When Refreshable Tactile Displays Meet Conversational Agents: Investigating Accessible Data Presentation and Analysis with Touch and Speech. IEEE Transactions on Visualization and Computer Graphics. 31(1). 864–874. 5 indexed citations

10.

Feng, Tao, Lizhen Qu, Yi Ying, et al.. (2024). RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations. Monash University Research Portal (Monash University). 3104–3117. 3 indexed citations

11.

Lin, Chuang, Yi Jiang, Lizhen Qu, Zehuan Yuan, & Jianfei Cai. (2024). Generative Region-Language Pretraining for Open-Ended Object Detection. 13958–13968. 2 indexed citations

12.

Qu, Lizhen, et al.. (2024). Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues. 8047–8074. 1 indexed citations

13.

Zhang, Zhuo, Yuanhang Yang, Yong Dai, et al.. (2023). FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models. Monash University Research Portal (Monash University). 9963–9977. 35 indexed citations

14.

Li, Zhuang, et al.. (2023). The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning. Monash University Research Portal (Monash University). 9511–9528. 3 indexed citations

15.

Wang, Yufei, Linhao Luo, Tao Feng, et al.. (2023). SocialDial: A Benchmark for Socially-Aware Dialogue Systems. 2712–2722. 8 indexed citations

16.

Zhang, Zhuo, Xiangjing Hu, Jingyuan Zhang, et al.. (2023). FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP. Monash University Research Portal (Monash University). 3492–3507. 11 indexed citations

17.

Li, Zhuang, Terry Yue Zhuo, Lizhen Qu, et al.. (2023). FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing. Monash University Research Portal (Monash University). 6377–6390. 6 indexed citations

18.

Zhang, Zhuo, Xiangjing Hu, Lizhen Qu, Qifan Wang, & Zenglin Xu. (2022). Federated Model Decomposition with Private Vocabulary for Text Classification. Monash University Research Portal (Monash University). 6413–6425. 3 indexed citations

19.

Qu, Lizhen, Rainer Gemulla, & Gerhard Weikum. (2012). A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts. MPG.PuRe (Max Planck Society). 149–159. 14 indexed citations

20.

Qu, Lizhen, et al.. (2008). Sentence Level Subjectivity and Sentiment Analysis Experiments in NTCIR-7 MOAT Challenge.. TUbilio (Technical University of Darmstadt). 9 indexed citations

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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