Xubin Ren

821 total citations · 2 hit papers
13 papers, 313 citations indexed

About

Xubin Ren is a scholar working on Artificial Intelligence, Information Systems and Transportation. According to data from OpenAlex, Xubin Ren has authored 13 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Information Systems and 2 papers in Transportation. Recurrent topics in Xubin Ren's work include Recommender Systems and Techniques (9 papers), Advanced Graph Neural Networks (9 papers) and Topic Modeling (7 papers). Xubin Ren is often cited by papers focused on Recommender Systems and Techniques (9 papers), Advanced Graph Neural Networks (9 papers) and Topic Modeling (7 papers). Xubin Ren collaborates with scholars based in Hong Kong, China and United States. Xubin Ren's co-authors include Chao Huang, Dawei Yin, Lianghao Xia, Wei Wei, Suqi Cheng, Lixin Su, Jiabin Tang, Qinyong Wang, Yong Xu and Jing Yi and has published in prestigious journals such as ACM Computing Surveys, ACM Transactions on Information Systems and Geotechnical and Geological Engineering.

In The Last Decade

Xubin Ren

13 papers receiving 311 citations

Hit Papers

LLMRec: Large Language Models with Graph Augmentation for... 2024 2026 2025 2024 2024 25 50 75
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. LLMRec: Large Language Models with Graph Augmentation for Recommendation
    2024 87 citations Wei Wei, Xubin Ren et al. profile →
  2. Representation Learning with Large Language Models for Recommendation
    2024 69 citations Xubin Ren, Wei Wei et al. The HKU Scholars Hub (University of Hong Kong) profile →

Peers

Xubin Ren
Xiaoying Zhang China
Li Jin China
Felice Antonio Merra Italy
Huobin Tan China
Cong Quan China
Teng Xiao China
Jiabin Tang China
Xiaoying Zhang China
Xubin Ren
Citations per year, relative to Xubin Ren Xubin Ren (= 1×) peers Xiaoying Zhang

Countries citing papers authored by Xubin Ren

Since Specialization
Citations

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

Fields of papers citing papers by Xubin Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xubin Ren

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

All Works

13 of 13 papers shown
1.
Xia, Lianghao, et al.. (2025). Urban Computing in the Era of Large Language Models. ACM Transactions on Intelligent Systems and Technology. 16(6). 1–43. 2 indexed citations
2.
Ren, Xubin, et al.. (2025). A Comprehensive Survey on Self-Supervised Learning for Recommendation. ACM Computing Surveys. 58(1). 1–38. 1 indexed citations
3.
Wei, Wei, Xubin Ren, Jiabin Tang, et al.. (2024). LLMRec: Large Language Models with Graph Augmentation for Recommendation. 806–815. 87 indexed citations breakdown →
4.
Ren, Xubin, et al.. (2024). SSLRec: A Self-Supervised Learning Framework for Recommendation. The HKU Scholars Hub (University of Hong Kong). 567–575. 22 indexed citations
5.
Ren, Xubin, Wei Wei, Lianghao Xia, et al.. (2024). Representation Learning with Large Language Models for Recommendation. The HKU Scholars Hub (University of Hong Kong). 3464–3475. 69 indexed citations breakdown →
6.
Ren, Xubin, et al.. (2024). XRec: Large Language Models for Explainable Recommendation. 391–402. 6 indexed citations
7.
Huang, Chao, Xubin Ren, Jiabin Tang, Dawei Yin, & Nitesh V. Chawla. (2024). Large Language Models for Graphs: Progresses and Directions. 1284–1287. 1 indexed citations
8.
Xia, Lianghao, et al.. (2023). How Expressive are Graph Neural Networks in Recommendation?. The HKU Scholars Hub (University of Hong Kong). 173–182. 5 indexed citations
9.
Xia, Lianghao, et al.. (2023). Graph Transformer for Recommendation. arXiv (Cornell University). 1680–1689. 28 indexed citations
10.
Yi, Jing, Xubin Ren, & Zhenzhong Chen. (2023). Multi-auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation. ACM Transactions on Information Systems. 41(4). 1–25. 10 indexed citations
11.
Ren, Xubin, et al.. (2023). Disentangled Contrastive Collaborative Filtering. arXiv (Cornell University). 1137–1146. 67 indexed citations
12.
Ren, Xubin, et al.. (2020). Downregulation of long non-coding RNA ZXF1 restricts cell survival by targeting miR-634-GRB2 in lung adenocarcinoma. Acta Biochimica Polonica. 67(1). 31–39. 2 indexed citations
13.
Ren, Xubin, et al.. (2014). Sensitivity Analysis of Bending and Toppling Deformation for Anti-slope Based on the Grey Relation Method. Geotechnical and Geological Engineering. 33(1). 35–41. 13 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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