Quan Lu

482 total citations
24 papers, 229 citations indexed

About

Quan Lu is a scholar working on Artificial Intelligence, Information Systems and Marketing. According to data from OpenAlex, Quan Lu has authored 24 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Information Systems and 5 papers in Marketing. Recurrent topics in Quan Lu's work include Recommender Systems and Techniques (8 papers), Advanced Graph Neural Networks (5 papers) and Consumer Market Behavior and Pricing (4 papers). Quan Lu is often cited by papers focused on Recommender Systems and Techniques (8 papers), Advanced Graph Neural Networks (5 papers) and Consumer Market Behavior and Pricing (4 papers). Quan Lu collaborates with scholars based in China, United States and Singapore. Quan Lu's co-authors include Longtao Huang, He Zhao, Rong Zhang, Hui Xue, Hongxia Yang, Junwei Pan, Shengjun Pan, Liang Wang, Kuang-Chih Lee and Liangyue Li and has published in prestigious journals such as IEEE Access, Engineering Applications of Artificial Intelligence and ACM Transactions on Information Systems.

In The Last Decade

Quan Lu

20 papers receiving 221 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Quan Lu China	8	165	55	35	25	23	24	229
Deqing Yang China	9	177 1.1×	120 2.2×	28 0.8×	8 0.3×	35 1.5×	34	232
Guglielmo Faggioli Italy	8	135 0.8×	99 1.8×	38 1.1×	12 0.5×	23 1.0×	30	204
Konstantin Bauman United States	6	150 0.9×	153 2.8×	19 0.5×	14 0.6×	21 0.9×	18	229
Sarik Ghazarian United States	6	137 0.8×	93 1.7×	13 0.4×	9 0.4×	46 2.0×	11	202
Parikshit Sondhi United States	9	193 1.2×	95 1.7×	14 0.4×	8 0.3×	23 1.0×	18	256
Nabil Alami Morocco	9	222 1.3×	71 1.3×	13 0.4×	8 0.3×	20 0.9×	22	275
Marko Krema United States	5	152 0.9×	99 1.8×	23 0.7×	36 1.4×	14 0.6×	6	220
Zhangming Chan China	11	206 1.2×	103 1.9×	19 0.5×	12 0.5×	86 3.7×	16	276
Ngo Xuan Bach Vietnam	11	247 1.5×	98 1.8×	23 0.7×	5 0.2×	28 1.2×	31	301
Nasim Sonboli United States	7	77 0.5×	126 2.3×	59 1.7×	29 1.2×	16 0.7×	16	177

Countries citing papers authored by Quan Lu

Since Specialization

Citations

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

Fields of papers citing papers by Quan Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Lu. A scholar is included among the top collaborators of Quan Lu 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 Quan Lu. Quan Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lu, Quan, et al.. (2025). Quantum-enhanced deep lightweight object detection model for power tower base occlusion detection. Engineering Applications of Artificial Intelligence. 160. 111972–111972.

Lu, Quan, et al.. (2024). Parallel GhostNet classification prediction method for supercapacitor remaining useful life prediction. Advanced Engineering Informatics. 62. 102916–102916.

Lu, Xinyuan, et al.. (2024). From Stress to Screen: Understanding Cyberloafing through Cognitive and Affective Pathways. Behavioral Sciences. 14(3). 249–249. 7 indexed citations

Li, Liangyue, et al.. (2023). MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation. 517–525. 7 indexed citations

Zhu, Ruihao, et al.. (2023). LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation. 779–789. 4 indexed citations

Liu, Jingping, et al.. (2023). What Image do You Need? A Two-stage Framework for Image Selection in E-commerce. 452–456. 1 indexed citations

Zhang, Fan, et al.. (2022). SASNet: Stage-aware Sequential Matching for Online Travel Recommendation. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 3725–3734. 2 indexed citations

Lu, Quan, et al.. (2022). A Graph Representation Learning Algorithm for Approximate Local Symmetry Feature Extraction to Enhance Malicious Device Detection Preprocessing. IEEE Access. 10. 53418–53432.

Li, Liangyue, Zenan Li, Yuan Yao, et al.. (2022). On the Vulnerability of Graph Learning-based Collaborative Filtering. ACM Transactions on Information Systems. 41(4). 1–28. 2 indexed citations

10.

Li, Liangyue, et al.. (2022). SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8476–8484. 10 indexed citations

11.

Xu, Jia, et al.. (2022). G2NET: A General Geography-Aware Representation Network for Hotel Search Ranking. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4237–4247. 4 indexed citations

12.

Lu, Quan, et al.. (2021). A Multi-Label Classification Model with Two-Stage Transfer Learning. Shuju fenxi yu zhishi faxian. 5(7). 91–100. 2 indexed citations

13.

Zhao, He, Longtao Huang, Rong Zhang, Quan Lu, & Hui Xue. (2020). SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction. 3239–3248. 121 indexed citations

14.

Huang, Longtao, et al.. (2020). Towards Linking Camouflaged Descriptions to Implicit Products in E-commerce. 901–910. 2 indexed citations

15.

Wang, Liang, Kuang-Chih Lee, & Quan Lu. (2016). Improving Advertisement Recommendation by Enriching User Browser Cookie Attributes. 2401–2404. 3 indexed citations

16.

Yang, Hongxia, et al.. (2016). Large Scale CVR Prediction through Dynamic Transfer Learning of Global and Local Features. 103–119. 3 indexed citations

17.

Xu, Jian, et al.. (2016). Lift-Based Bidding in Ad Selection. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 11 indexed citations

18.

Yang, Hongxia, et al.. (2016). Estimating rates of rare events through a multidimensional dynamic hierarchical Bayesian framework. Applied Stochastic Models in Business and Industry. 32(3). 340–353. 1 indexed citations

19.

Ormándi, Róbert, Hongxia Yang, & Quan Lu. (2015). Scalable Multidimensional Hierarchical Bayesian modeling on Spark. 33–48. 3 indexed citations

20.

Lu, Quan. (2003). Fast Algorithm of the Triangular Factorization for the Symmetric Loewner Type Matrix. Gongcheng shuxue xuebao. 1 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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