Yupeng Hou

3.9k citations
29 papers · 1.2k indexed · 3 hit papers · h-index 12
Topics
Recommender Systems and Techniques (20 papers)Topic Modeling (14 papers)Advanced Graph Neural Networks (10 papers)

In The Last Decade

Yupeng Hou

26 papers receiving 1.2k citations

Hit Papers

Improving Graph Collaborative Filtering with Neighborhood...202120262022202420222021202250100150200250

Peers

Yupeng Hou
Comparison fields: 5 of 102
  • Information Systems 850
  • Artificial Intelligence 741
  • Computer Vision and Pattern Recognition 197
  • Management Science and Operations Research 132
  • Plant Science 106
Replace Noam Koenigstein with:
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Key‐Sun Choi South Korea
Manuel J. Barranco Spain
Hieu Le United States
Ting Bai China
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Eisa Alanazi Saudi Arabia
Yupeng Hou relative to Noam Koenigstein Israel Noam Koenigstein's profile →
Citations per field
00.5×5.5×
Noam Koenigstein · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 1
4 7
5 23
6 0
7 39
8 3
9 11
10 2
11 3
12 13
13 4
14 2
15 8
16
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learningbreakdown →
297
17
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithmsbreakdown →
220
18 2
19 193
20 4

About Yupeng Hou

Yupeng Hou is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (20 papers), Topic Modeling (14 papers) and Advanced Graph Neural Networks (10 papers). The work is most often cited by research in Information Systems (850 citations), Artificial Intelligence (741 citations) and Management Science and Operations Research (132 citations). Yupeng Hou has collaborated with scholars based in China, United States and Singapore. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and ACM Transactions on Information Systems.

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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