Yozen Liu

676 total citations · 1 hit paper
21 papers, 361 citations indexed

About

Yozen Liu is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Yozen Liu has authored 21 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 11 papers in Artificial Intelligence and 7 papers in Sociology and Political Science. Recurrent topics in Yozen Liu's work include Recommender Systems and Techniques (11 papers), Advanced Graph Neural Networks (8 papers) and Complex Network Analysis Techniques (7 papers). Yozen Liu is often cited by papers focused on Recommender Systems and Techniques (11 papers), Advanced Graph Neural Networks (8 papers) and Complex Network Analysis Techniques (7 papers). Yozen Liu collaborates with scholars based in United States, Netherlands and Singapore. Yozen Liu's co-authors include Neil Shah, Leonardo Neves, Tong Zhao, Meng Jiang, Oliver J. Woodford, Jun Yu, Aravind Sankar, Xiang Ren, Xiaolin Shi and Maarten W. Bos and has published in prestigious journals such as Computers in Human Behavior, Journal Of Big Data and arXiv (Cornell University).

In The Last Decade

Yozen Liu

20 papers receiving 354 citations

Hit Papers

Data Augmentation for Graph Neural Networks 2021 2026 2022 2024 2021 50 100 150 200
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. Data Augmentation for Graph Neural Networks
    2021 212 citations Tong Zhao, Yozen Liu et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yozen Liu United States 6 258 93 75 63 42 21 361
Sherine Rady Egypt 10 193 0.7× 131 1.4× 53 0.7× 30 0.5× 47 1.1× 56 364
Sandro Cavallari Singapore 6 387 1.5× 63 0.7× 84 1.1× 199 3.2× 48 1.1× 8 500
Leonardo Neves United States 9 511 2.0× 86 0.9× 171 2.3× 50 0.8× 30 0.7× 26 642
Jinpeng Wang China 10 168 0.7× 157 1.7× 78 1.0× 31 0.5× 24 0.6× 17 348
Seema Nagar India 13 251 1.0× 106 1.1× 53 0.7× 35 0.6× 41 1.0× 33 431
Rodica Potolea Romania 9 191 0.7× 90 1.0× 26 0.3× 19 0.3× 54 1.3× 91 332
Rushi Bhatt United States 7 91 0.4× 50 0.5× 34 0.5× 92 1.5× 48 1.1× 13 341
Ehab Abozinadah Saudi Arabia 10 137 0.5× 104 1.1× 25 0.3× 24 0.4× 59 1.4× 16 330

Countries citing papers authored by Yozen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yozen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yozen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yozen Liu. A scholar is included among the top collaborators of Yozen Liu 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 Yozen Liu. Yozen Liu 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.
Loveland, Donald, Yozen Liu, Xin Chen, et al.. (2025). GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. 357–369. 1 indexed citations
2.
Zhao, Tong, et al.. (2025). GiGL: Large-Scale Graph Neural Networks at Snapchat. 5225–5236. 1 indexed citations
3.
Papalexakis, Evangelos E., et al.. (2025). Improving Out-of-Vocabulary Hashing in Recommendation Systems. 2521–2530.
4.
Barbieri, Francesco, Yozen Liu, Dong Nguyen, et al.. (2024). General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. 2431–2436. 2 indexed citations
5.
Zhao, Tong, et al.. (2024). Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion. 2930–2934. 1 indexed citations
6.
Peters, Heinrich, et al.. (2024). Context-aware prediction of active and passive user engagement: Evidence from a large online social platform. Journal Of Big Data. 11(1). 1 indexed citations
7.
Dotsch, Ron, et al.. (2024). Congruence Affects Story Ad Engagement on Social Media. SSRN Electronic Journal. 2 indexed citations
8.
Shi, Xiaolin, et al.. (2023). Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study. 1–14. 3 indexed citations
9.
Liu, Yozen, et al.. (2023). Embedding Based Retrieval in Friend Recommendation. 3330–3334. 5 indexed citations
10.
Liu, Yozen, et al.. (2023). CARL-G: Clustering-Accelerated Representation Learning on Graphs. arXiv (Cornell University). 2036–2048. 2 indexed citations
11.
Silva, Vítor, Maarten W. Bos, Yozen Liu, et al.. (2023). SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. 2235–2246. 19 indexed citations
12.
Liu, Yozen, Heinrich Peters, Francesco Barbieri, et al.. (2023). Predicting Future Location Categories of Users in a Large Social Platform. Proceedings of the International AAAI Conference on Web and Social Media. 17. 47–58. 2 indexed citations
13.
Wang, Yiwei, Bryan Hooi, Yozen Liu, & Neil Shah. (2023). Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. 348–356. 2 indexed citations
14.
15.
Tang, Xianfeng, Yozen Liu, Xinran He, Suhang Wang, & Neil Shah. (2022). Friend Story Ranking with Edge-Contextual Local Graph Convolutions. 1007–1015. 5 indexed citations
16.
Zhao, Tong, Yozen Liu, Leonardo Neves, et al.. (2021). Data Augmentation for Graph Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 35(12). 11015–11023. 212 indexed citations breakdown →
17.
Liu, Yozen, et al.. (2021). CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms. Proceedings of the International AAAI Conference on Web and Social Media. 15. 117–128. 7 indexed citations
18.
Saha, Koustuv, Yozen Liu, Nicholas Vincent, et al.. (2021). AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media. 1–18. 13 indexed citations
19.
Sankar, Aravind, Yozen Liu, Jun Yu, & Neil Shah. (2021). Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. 2535–2546. 48 indexed citations
20.
Liu, Yozen, et al.. (2019). Characterizing and Forecasting User Engagement with In-App Action Graph. 2023–2031. 30 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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