Yupeng Hou

3.9k total citations · 3 hit papers
29 papers, 1.2k citations indexed

About

Yupeng Hou is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yupeng Hou has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 20 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yupeng Hou's work include Recommender Systems and Techniques (20 papers), Topic Modeling (14 papers) and Advanced Graph Neural Networks (10 papers). Yupeng Hou is often cited by papers focused on Recommender Systems and Techniques (20 papers), Topic Modeling (14 papers) and Advanced Graph Neural Networks (10 papers). Yupeng Hou collaborates with scholars based in China, United States and Singapore. Yupeng Hou's co-authors include Wayne Xin Zhao, Changxin Tian, Zihan Lin, Ji-Rong Wen, Fang Chen, Gangliang Huang, Shanlei Mu, Yaliang Li, Julian McAuley and Bolin Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and ACM Transactions on Information Systems.

In The Last Decade

Yupeng Hou

26 papers receiving 1.2k citations

Hit Papers

Improving Graph Collaborative Filtering with Neighborhood... 2021 2026 2022 2024 2022 2021 2022 50 100 150 200 250
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. Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
    2022 297 citations Zihan Lin, Changxin Tian et al. Proceedings of the ACM Web Conference 2022 profile →
  2. RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
    2021 220 citations Wayne Xin Zhao, Shanlei Mu et al. profile →
  3. Towards Universal Sequence Representation Learning for Recommender Systems
    2022 123 citations Yupeng Hou, Shanlei Mu 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
Yupeng Hou China 12 850 741 197 132 106 29 1.2k
Key‐Sun Choi South Korea 17 398 0.5× 1.1k 1.5× 221 1.1× 77 0.6× 94 0.9× 140 1.5k
Manuel J. Barranco Spain 10 278 0.3× 137 0.2× 72 0.4× 84 0.6× 19 0.2× 17 569
Hieu Le United States 18 129 0.2× 262 0.4× 46 0.2× 40 0.3× 57 0.5× 36 1.1k
Antonio Bahamonde Spain 17 165 0.2× 380 0.5× 130 0.7× 53 0.4× 42 0.4× 48 793
Tomaž Požrl Slovenia 14 272 0.3× 125 0.2× 54 0.3× 65 0.5× 234 2.2× 30 847
Noam Koenigstein Israel 16 647 0.8× 515 0.7× 409 2.1× 173 1.3× 22 0.2× 68 1.1k
Guanying Wang China 18 245 0.3× 118 0.2× 141 0.7× 24 0.2× 155 1.5× 64 1.2k
Ting Bai China 12 296 0.3× 246 0.3× 96 0.5× 98 0.7× 11 0.1× 31 471
Yu-Xiao Zhu China 14 318 0.4× 209 0.3× 40 0.2× 34 0.3× 9 0.1× 25 730

Countries citing papers authored by Yupeng Hou

Since Specialization
Citations

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

Fields of papers citing papers by Yupeng Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yupeng Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Yupeng Hou. A scholar is included among the top collaborators of Yupeng Hou 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 Yupeng Hou. Yupeng Hou 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.
Hou, Yupeng, et al.. (2025). Review-Enhanced Universal Sequence Representation Learning for Recommender Systems. ACM Transactions on Information Systems. 43(3). 1–31.
2.
Hou, Yupeng, An Zhang, Jiancan Wu, et al.. (2025). Towards Large Generative Recommendation: A Tokenization Perspective. 6821–6824.
3.
Hou, Yupeng, et al.. (2025). Generative Recommendation Models: Progress and Directions. 13–16. 1 indexed citations
4.
Wu, Junda, Tong Yu, Zhankui He, et al.. (2024). CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. 3391–3401. 7 indexed citations
5.
Hou, Yupeng, Ruobing Xie, Julian McAuley, et al.. (2024). AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. 3679–3689. 23 indexed citations
6.
Dai, Sunhao, Yupeng Hou, Wayne Xin Zhao, et al.. (2024). Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. arXiv (Cornell University). 3714–3723.
7.
Xie, Ruobing, et al.. (2024). Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. ACM Transactions on Information Systems. 43(5). 1–37. 39 indexed citations
8.
9.
Hou, Yupeng, et al.. (2024). Multi-Behavior Generative Recommendation. 1575–1585. 11 indexed citations
10.
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
11.
Hou, Yupeng, et al.. (2023). Reciprocal Sequential Recommendation. 89–100. 3 indexed citations
12.
Hou, Yupeng, et al.. (2023). Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. 2837–2847. 13 indexed citations
13.
Hou, Yupeng, et al.. (2023). Multi-grained hypergraph interest modeling for conversational recommendation. SHILAP Revista de lepidopterología. 4. 154–164. 4 indexed citations
14.
Hou, Yupeng, et al.. (2022). Field rapid detection method of wind turbine blade fixing bolt defects based on FPGA. Optoelectronics Letters. 18(9). 541–546. 2 indexed citations
15.
Hou, Yupeng, et al.. (2022). An Improved Temporal Fusion Transformers Model for Predicting Supply Air Temperature in High-Speed Railway Carriages. Entropy. 24(8). 1111–1111. 8 indexed citations
16.
Lin, Zihan, Changxin Tian, Yupeng Hou, & Wayne Xin Zhao. (2022). Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. Proceedings of the ACM Web Conference 2022. 2320–2329. 297 indexed citations breakdown →
17.
Zhao, Wayne Xin, Shanlei Mu, Yupeng Hou, et al.. (2021). RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. 4653–4664. 220 indexed citations breakdown →
18.
Zhao, Wayne Xin, et al.. (2020). Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale. ACM Transactions on Information Systems. 38(2). 1–30. 2 indexed citations
19.
Chen, Fang, et al.. (2019). Antioxidant activity of Momordica charantia polysaccharide and its derivatives. International Journal of Biological Macromolecules. 138. 673–680. 193 indexed citations
20.
Li, Yijun, et al.. (2006). Research on Freight Traffic Forecast Based on Wavelet and Support Vector Machine. 26. 2524–2530. 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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