Julian McAuley

25.1k total citations · 12 hit papers
203 papers, 11.5k citations indexed

About

Julian McAuley is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Julian McAuley has authored 203 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Artificial Intelligence, 66 papers in Information Systems and 55 papers in Computer Vision and Pattern Recognition. Recurrent topics in Julian McAuley's work include Topic Modeling (70 papers), Recommender Systems and Techniques (62 papers) and Advanced Graph Neural Networks (27 papers). Julian McAuley is often cited by papers focused on Topic Modeling (70 papers), Recommender Systems and Techniques (62 papers) and Advanced Graph Neural Networks (27 papers). Julian McAuley collaborates with scholars based in United States, Australia and China. Julian McAuley's co-authors include Jure Leskovec, Wang-Cheng Kang, Ruining He, Anton van den Hengel, Qinfeng Shi, Jianmo Ni, Jiacheng Li, Rahul Pandey, Mengting Wan and Tibério S. Caetano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Julian McAuley

185 papers receiving 11.1k citations

Hit Papers

Self-Attentive Sequential... 2012 2026 2016 2021 2018 2015 2012 2013 2019 400 800 1.2k
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.

  1. Self-Attentive Sequential Recommendation
    2018 1.4k citations Julian McAuley et al. profile →
  2. Image-Based Recommendations on Styles and Substitutes
    2015 1.3k citations Julian McAuley et al. profile →
  3. Learning to Discover Social Circles in Ego Networks
    2012 1.1k citations Julian McAuley et al. profile →
  4. Hidden factors and hidden topics
    2013 1.0k citations Julian McAuley et al. profile →
  5. Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
    2019 626 citations Jianmo Ni, Jiacheng Li et al. profile →
  6. VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
    2016 513 citations Julian McAuley et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  7. Inferring Networks of Substitutable and Complementary Products
    2015 402 citations Julian McAuley et al. profile →
  8. Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation
    2016 401 citations Julian McAuley et al. profile →
  9. Time Interval Aware Self-Attention for Sequential Recommendation
    2020 355 citations Julian McAuley et al. profile →
  10. From amateurs to connoisseurs
    2013 291 citations Julian McAuley et al. profile →
  11. Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering
    2014 270 citations Julian McAuley et al. profile →
  12. Intent Contrastive Learning for Sequential Recommendation
    2022 206 citations Julian McAuley et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julian McAuley United States 38 7.2k 6.3k 3.0k 1.4k 1.4k 203 11.5k
Xiangnan He China 68 11.5k 1.6× 10.8k 1.7× 5.0k 1.7× 2.1k 1.5× 1.0k 0.7× 275 17.3k
Irwin King Hong Kong 56 7.9k 1.1× 8.0k 1.3× 3.7k 1.2× 1.1k 0.8× 1.4k 1.0× 404 15.4k
Robert Bell United States 11 3.7k 0.5× 5.6k 0.9× 2.0k 0.7× 1.1k 0.8× 538 0.4× 37 7.5k
ChengXiang Zhai United States 66 11.4k 1.6× 8.0k 1.3× 2.4k 0.8× 930 0.7× 1.1k 0.8× 386 16.9k
Xueqi Cheng China 52 7.2k 1.0× 3.4k 0.5× 1.5k 0.5× 923 0.7× 2.5k 1.8× 517 11.6k
Ed H. United States 49 3.3k 0.5× 3.8k 0.6× 1.8k 0.6× 765 0.5× 1.2k 0.9× 174 9.8k
Jonathan L. Herlocker United States 15 3.2k 0.4× 7.0k 1.1× 2.3k 0.8× 1.3k 0.9× 703 0.5× 21 8.9k
Ji-Rong Wen China 54 7.0k 1.0× 6.2k 1.0× 2.9k 1.0× 986 0.7× 480 0.3× 425 11.8k
Maarten de Rijke Netherlands 50 9.7k 1.4× 5.7k 0.9× 1.4k 0.5× 1.2k 0.9× 677 0.5× 659 13.1k
Bamshad Mobasher United States 48 4.0k 0.6× 7.8k 1.2× 1.6k 0.5× 1.1k 0.8× 596 0.4× 180 10.0k

Countries citing papers authored by Julian McAuley

Since Specialization
Citations

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

Fields of papers citing papers by Julian McAuley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian McAuley

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

All Works

20 of 20 papers shown
1.
2.
3.
Hou, Yupeng, Ruobing Xie, Julian McAuley, et al.. (2024). AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. 3679–3689. 23 indexed citations
4.
Zeng, Huimin, Zhankui He, Zhenrui Yue, Julian McAuley, & Dong Wang. (2024). Fair Sequential Recommendation without User Demographics. 395–404.
5.
He, Zhankui, et al.. (2024). Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. 1490–1504. 4 indexed citations
6.
Xu, Canwen, et al.. (2024). Small Models are Valuable Plug-ins for Large Language Models. 283–294. 18 indexed citations
7.
Wang, Yu, Zexue He, Zhankui He, Hao Xu, & Julian McAuley. (2024). Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9133–9141. 1 indexed citations
8.
Xu, Canwen, Daya Guo, Nan Duan, & Julian McAuley. (2023). Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. 6268–6278. 59 indexed citations
9.
Chen, Zheng, Zhankui He, Yupeng Hou, et al.. (2023). The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. 5267–5270. 2 indexed citations
10.
Deldjoo, Yashar, et al.. (2023). A Review of Modern Fashion Recommender Systems. ACM Computing Surveys. 56(4). 1–37. 39 indexed citations
11.
Xu, Canwen & Julian McAuley. (2023). A Survey on Model Compression and Acceleration for Pretrained Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 10566–10575. 25 indexed citations
12.
Wang, Siyu, Xiaocong Chen, Julian McAuley, Sally Cripps, & Lina Yao. (2023). Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 1044–1055. 4 indexed citations
13.
Li, Yun, Zhe Liu, Lina Yao, et al.. (2022). An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology. 32(8). 5175–5186. 20 indexed citations
14.
Li, Jiacheng, Jingbo Shang, & Julian McAuley. (2022). UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6159–6169. 24 indexed citations
15.
Liu, Zhe, et al.. (2022). Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(1). 657–669. 7 indexed citations
16.
Li, S. X., et al.. (2022). Instilling Type Knowledge in Language Models via Multi-Task QA. 594–603. 4 indexed citations
17.
Donahue, Chris, Julian McAuley, & Miller Puckette. (2018). Synthesizing Audio with GANs.. International Conference on Learning Representations. 11 indexed citations
18.
Ni, Jianmo, Zachary C. Lipton, Sharad Vikram, & Julian McAuley. (2017). Estimating Reactions and Recommending Products with Generative Models of Reviews. International Joint Conference on Natural Language Processing. 1. 783–791. 16 indexed citations
19.
McAuley, Julian & Tibério S. Caetano. (2010). Exploiting Within-Clique Factorizations in Junction-Tree Algorithms. ANU Open Research (Australian National University). 525–532. 7 indexed citations
20.
McAuley, Julian, et al.. (2010). Exploiting Data-Independence for Fast Belief-Propagation. International Conference on Machine Learning. 767–774. 6 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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