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Julian J. McAuley

Active 2006–2026

420
Papers
30,800
Citations
68
h-index
209
i10-index

Citations

Citations per year for Julian J. McAuley1976: 1 citations1998: 3 citations2000: 2 citations2001: 1 citations2002: 2 citations2004: 4 citations2005: 1 citations2006: 5 citations2007: 3 citations2008: 9 citations2009: 9 citations2010: 26 citations2011: 37 citations2012: 46 citations2013: 114 citations2014: 232 citations2015: 364 citations2016: 543 citations2017: 751 citations2018: 997 citations2019: 1,259 citations2020: 1,447 citations2021: 1,743 citations2022: 1,691 citations2023: 2,077 citations2024: 2,643 citations2025: 3,150 citations2026: 1,479 citations2027: 1 citations1977–1997: no citations, so these years are not shown1999: no citations, so this year is not shown2003: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 5,385 citing papers, 31.2% of this breakdownUnited States: 3,394 citing papers, 19.6% of this breakdownAustralia: 703 citing papers, 4.1% of this breakdownUnited Kingdom: 682 citing papers, 3.9% of this breakdownHong Kong: 591 citing papers, 3.4% of this breakdownSingapore: 522 citing papers, 3% of this breakdownIndia: 499 citing papers, 2.9% of this breakdownGermany: 489 citing papers, 2.8% of this breakdownCanada: 402 citing papers, 2.3% of this breakdownItaly: 372 citing papers, 2.2% of this breakdownJapan: 361 citing papers, 2.1% of this breakdownSouth Korea: 352 citing papers, 2% of this breakdown
0%31.2%Other 20.5%

Institutions

Fields

  • Computer Science77.8%
  • Physics and Astronomy8.9%
  • Social Sciences3.8%
  • Engineering2.1%
  • Decision Sciences1.5%
  • Medicine1.2%
  • Other4.7%

Topics

  • Recommender Systems and Techniques11.2%
  • Topic Modeling8.9%
  • Advanced Graph Neural Networks7.2%
  • Complex Network Analysis Techniques4.4%
  • Sentiment Analysis and Opinion Mining3.1%
  • Natural Language Processing Techniques2.6%
  • Other62.6%

Coauthors

All papers

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  1. Image-Based Recommendations on Styles and Substitutes

    Authors: Julian J. McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel - SIGIR Conference on Research and Development in Information Retrieval 2015 cited by 2,290

  2. Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects

    Authors: Jianmo Ni, Jiacheng Li, Julian J. McAuley - Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), EMNLP/IJCNLP (1) 2019 cited by 1,145

  3. The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

    Authors: Ling Liu, Ryen W. White, Amin Mantrach, Fabrizio Silvestri, Julian J. McAuley, Ricardo Baeza-Yates, Leila Zia - WWW 2019 cited by 917

  4. Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

    Authors: Yupeng Hou, Jiacheng Li, Xiangjun Fu, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley - ACL (1) 2026 cited by 346

  5. Intent Contrastive Learning for Sequential Recommendation

    Authors: Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong - Web Conference 2022, WWW 2022 cited by 398

  6. Time Interval Aware Self-Attention for Sequential Recommendation

    Authors: Jiacheng Li, Yujie Wang, Julian J. McAuley - Conference on Web Search and Data Mining, WSDM 2020 cited by 613

  7. RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems

    Authors: Tianyang Liu, Canwen Xu, Julian J. McAuley - ICLR 2024 cited by 407

  8. Hidden factors and hidden topics: understanding rating dimensions with review text

    Authors: Julian J. McAuley, Jure Leskovec - conference on Recommender systems, Proceedings of the 7th ACM conference on Recommender systems 2013 cited by 1,594

  9. Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data

    Authors: Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley - Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 cited by 193

  10. Self-Attentive Sequential Recommendation

    Authors: Wang-Cheng Kang, Julian J. McAuley - IEEE International Conference on Data Mining (ICDM) 2018 cited by 2,730

  11. Large Language Models are Zero-Shot Rankers for Recommender Systems

    Authors: Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao - Lecture notes in computer science, ECIR (2) 2024 cited by 234

  12. GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation

    Authors: An Yan, Zhengyuan Yang, Wanrong Zhu, Kevin Lin, Linjie Li, Jianfeng Wang, Jianwei Yang, Yiwu Zhong, Julian J. McAuley, Jianfeng Gao, Zicheng Liu, Lijuan Wang - arXiv (Cornell University), CoRR 2023 cited by 130

  13. Large Language Models as Zero-Shot Conversational Recommenders

    Authors: Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley - International Conference on Information and Knowledge Management, CIKM 2023 cited by 130

  14. From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews

    Authors: Julian J. McAuley, Jure Leskovec - conference on World Wide Web, WWW 2013 cited by 519

  15. Deep reinforcement learning in recommender systems: A survey and new perspectives

    Authors: Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang - Knowledge-Based Systems, Knowl. Based Syst. 2023 cited by 168

  16. Learning to Discover Social Circles in Ego Networks

    Authors: Julian J. McAuley, Jure Leskovec - Neural Information Processing Systems, NIPS 2012 cited by 2,297

  17. Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

    Authors: Yuanzhe Hu, Yu Wang, Julian J. McAuley - ArXiv.org, CoRR 2025 cited by 92

  18. How to Train Data-Efficient LLMs

    Authors: Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng - arXiv (Cornell University), CoRR 2024 cited by 92

  19. Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

    Authors: Zhiwei Liu, Yongjun Chen, Jia Li, Philip S. Yu, Julian J. McAuley, Caiming Xiong - arXiv (Cornell University), CoRR 2021 cited by 142

  20. Translation-based Recommendation

    Authors: Ruining He, Wang-Cheng Kang, Julian J. McAuley - Eleventh ACM Conference on Recommender Systems, RecSys 2017 cited by 429

  21. Item recommendation on monotonic behavior chains

    Authors: Mengting Wan, Julian J. McAuley - Conference on Recommender Systems, RecSys 2018 cited by 239

  22. Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

    Authors: Sihem Amer-Yahia, Mohammad Mahdian, Ashish Goel, Geert-Jan Houben, Kristina Lerman, Julian J. McAuley, Ricardo Baeza-Yates, Leila Zia - WWW (Companion Volume) 2019 cited by 184

  23. Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey

    Authors: Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang - Findings of the Association for Computational Linguistics: NAACL 2025, NAACL (Findings) 2025 cited by 73

  24. Mem-α: Learning Memory Construction via Reinforcement Learning

    Authors: Yu Wang, Ryuichi Takanobu, Zhiqi Liang, Yuzhen Mao, Yuanzhe Hu, Julian J. McAuley, Xiaojian Wu - ArXiv.org, CoRR 2025 cited by 71