Jie Lü

23.7k total citations · 4 hit papers
631 papers, 16.8k citations indexed

About

Jie Lü is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Jie Lü has authored 631 papers receiving a total of 16.8k indexed citations (citations by other indexed papers that have themselves been cited), including 286 papers in Artificial Intelligence, 135 papers in Information Systems and 122 papers in Management Science and Operations Research. Recurrent topics in Jie Lü's work include Recommender Systems and Techniques (74 papers), Data Stream Mining Techniques (71 papers) and Domain Adaptation and Few-Shot Learning (63 papers). Jie Lü is often cited by papers focused on Recommender Systems and Techniques (74 papers), Data Stream Mining Techniques (71 papers) and Domain Adaptation and Few-Shot Learning (63 papers). Jie Lü collaborates with scholars based in Australia, China and United States. Jie Lü's co-authors include Guangquan Zhang, Dianshuang Wu, Hua Zuo, Mingsong Mao, Feng Liu, Vahid Behbood, Qusai Y. Shambour, Jun Ma, Qian Zhang and Da Ruan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Environmental Science & Technology.

In The Last Decade

Jie Lü

594 papers receiving 16.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recommender system application developments: A survey

2015 1.1k citations Jie Lü, Guangquan Zhang et al. profile →
Transfer learning using computational intelligence: A survey

2015 743 citations Jie Lü, Vahid Behbood et al. Knowledge-Based Systems profile →
Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors

2020 455 citations Jie Lü et al. profile →
Artificial intelligence in recommender systems

2020 235 citations Qian Zhang, Jie Lü et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jie Lü Australia	67	6.8k	4.2k	2.7k	2.3k	1.8k	631	16.8k
Guangquan Zhang Australia	63	5.9k 0.9×	3.0k 0.7×	2.6k 1.0×	1.8k 0.8×	1.7k 1.0×	521	13.2k
Hui Xiong China	68	10.6k 1.6×	6.0k 1.4×	1.8k 0.7×	3.7k 1.6×	1.5k 0.9×	624	26.5k
C. Lee Giles United States	74	11.5k 1.7×	7.3k 1.8×	2.3k 0.8×	3.7k 1.6×	829 0.5×	507	23.2k
Lior Rokach Israel	51	7.2k 1.1×	4.1k 1.0×	998 0.4×	2.1k 0.9×	605 0.3×	283	16.7k
Hamido Fujita Japan	82	9.0k 1.3×	3.6k 0.9×	4.5k 1.7×	2.9k 1.3×	1.6k 0.9×	439	22.6k
Ron Kohavi United States	36	9.6k 1.4×	4.2k 1.0×	1.2k 0.4×	3.6k 1.6×	769 0.4×	66	21.8k
Chengqi Zhang China	56	6.6k 1.0×	2.9k 0.7×	875 0.3×	2.6k 1.2×	1.0k 0.6×	616	15.3k
A. A. Zaidan Malaysia	67	2.7k 0.4×	2.6k 0.6×	2.2k 0.8×	2.7k 1.2×	625 0.4×	260	13.0k
Charų C. Aggarwal United States	76	14.3k 2.1×	5.8k 1.4×	1.3k 0.5×	3.7k 1.6×	914 0.5×	363	23.7k
Qing Li China	63	7.7k 1.1×	4.9k 1.2×	1.1k 0.4×	5.6k 2.5×	767 0.4×	1.3k	22.2k

Countries citing papers authored by Jie Lü

Since Specialization

Citations

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

Fields of papers citing papers by Jie Lü

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Lü

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

Lü, Jie, et al.. (2025). A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems. ACM Transactions on Intelligent Systems and Technology. 16(4). 1–25.

Lü, Jie, et al.. (2025). Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems. ACM Transactions on Information Systems. 43(6). 1–30.

Wang, Luyao, et al.. (2024). 3D simulation in a fixed bed coupled pervaporation reactor for biodiesel production. Chemical Engineering Journal. 496. 153854–153854. 11 indexed citations

Zhang, Guangquan, et al.. (2024). Novelty-aware concept drift detection for neural networks. Neurocomputing. 617. 128933–128933. 4 indexed citations

Lü, Jie, et al.. (2024). Neuropathology and neuroinflammation in Alzheimer’s disease via bidirectional lung–brain axis. Frontiers in Aging Neuroscience. 16. 1449575–1449575. 2 indexed citations

Lü, Jie, et al.. (2024). Empirical Analysis of Catering Service Satisfaction in Scenic Spots and the Construction of 4Ps Improving Paths. 系统科学与信息学报(英文). 12(4). 554–574.

Wang, Kun, Jie Lü, Anjin Liu, & Guangquan Zhang. (2024). TS-DM: A Time Segmentation-Based Data Stream Learning Method for Concept Drift Adaptation. IEEE Transactions on Cybernetics. 54(10). 6000–6011. 5 indexed citations

Shi, Shaoshuai, et al.. (2023). Prediction of tunnel water inflow based on stochastic deterministic three-dimensional fracture network. Tunnelling and Underground Space Technology. 135. 104997–104997. 12 indexed citations

Jin, Xiu, Jianghui Xiong, Yuan Rao, et al.. (2023). TranNas-NirCR: A method for improving the diagnosis of asymptomatic wheat scab with transfer learning and neural architecture search. Computers and Electronics in Agriculture. 213. 108271–108271. 6 indexed citations

10.

Li, Boyang, et al.. (2023). Effect of a rotatable water-drop plate on vortex-induced vibration of cylinder. Ocean Engineering. 292. 116558–116558. 3 indexed citations

11.

Zhang, Guizhi, et al.. (2023). Excitation and modulation of long-range surface plasmons based on InSb multilayer structure. Physics Letters A. 481. 128989–128989. 1 indexed citations

12.

He, Peng, et al.. (2023). Altitude and slope aspects as the key factors affecting the change of C:N:P stoichiometry in the leaf-litter-soil system of alpine timberline ecotones of the Sygera Mountains in Southeast Tibet, China. Geoderma Regional. 32. e00602–e00602. 11 indexed citations

13.

Wu, Mengjia, Yi Zhang, Qian Zhang, et al.. (2023). Artificial intelligence-driven biomedical genomics. Knowledge-Based Systems. 279. 110937–110937. 24 indexed citations

14.

Gama, João, Concha Bielza, Salvador García, et al.. (2021). DSAA 2021. IEEE Computational Intelligence Magazine. 16(2). C3–C3. 1 indexed citations

15.

Zuo, Hua, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, & Jie Lü. (2017). Granular Fuzzy Regression Domain Adaptation in Takagi–Sugeno Fuzzy Models. IEEE Transactions on Fuzzy Systems. 26(2). 847–858. 71 indexed citations

16.

Deng, Liping, Sandy C. Li, & Jie Lü. (2017). Supporting collaborative group projects with Web 2.0 tools: A holistic approach. Innovations in Education and Teaching International. 55(6). 724–734. 6 indexed citations

17.

Zuo, Hua, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, & Jie Lü. (2016). Fuzzy Regression Transfer Learning in Takagi–Sugeno Fuzzy Models. IEEE Transactions on Fuzzy Systems. 25(6). 1795–1807. 119 indexed citations

18.

Lü, Jie, Guangquan Zhang, & Da Ruan. (2007). Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques. IMPERIAL COLLEGE PRESS eBooks. 3(3). 331–4. 230 indexed citations

19.

Lü, Jie, Guangquan Zhang, Da Ruan, & Fengjie Wu. (2007). Multi-Objective Group Decision Making:Methods, Software and Applications with Fuzzy Set Techniques(With CD-ROM).

20.

Lü, Jie, Chenggen Shi, Guangquan Zhang, & Da Ruan. (2005). MULTI-FOLLOWER LINEAR BILEVEL PROGRAMMING: MODEL AND KUHN-TUCKER APPROACH. UTS ePRESS (University of Technology Sydney). 81–88. 4 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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