Ruiming Tang

7.2k total citations · 1 hit paper
150 papers, 2.2k citations indexed

About

Ruiming Tang is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruiming Tang has authored 150 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Information Systems, 100 papers in Artificial Intelligence and 40 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruiming Tang's work include Recommender Systems and Techniques (113 papers), Advanced Graph Neural Networks (46 papers) and Topic Modeling (44 papers). Ruiming Tang is often cited by papers focused on Recommender Systems and Techniques (113 papers), Advanced Graph Neural Networks (46 papers) and Topic Modeling (44 papers). Ruiming Tang collaborates with scholars based in China, Hong Kong and Canada. Ruiming Tang's co-authors include Xiuqiang He, Huifeng Guo, Weinan Zhang, Yong Yu, Wei Guo, Yingxue Zhang, Bo Chen, Xinyi Dai, Weiwen Liu and Chen Ma and has published in prestigious journals such as IEEE Access, Information Sciences and Neurocomputing.

In The Last Decade

Ruiming Tang

137 papers receiving 2.1k citations

Hit Papers

How Can Recommender Systems Benefit from Large Language M... 2024 2026 2025 2024 10 20 30 40 50
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. How Can Recommender Systems Benefit from Large Language Models: A Survey
    2024 53 citations Jianghao Lin, Xinyi Dai et al. ACM Transactions on Information Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruiming Tang China 26 1.6k 1.4k 548 483 205 150 2.2k
Xiuqiang He China 27 1.7k 1.1× 1.6k 1.2× 744 1.4× 463 1.0× 238 1.2× 99 2.5k
Vihan Jain United States 9 1.5k 0.9× 1.2k 0.9× 741 1.4× 336 0.7× 280 1.4× 12 2.2k
Xiaoqiang Zhu China 8 1.8k 1.1× 1.3k 0.9× 823 1.5× 453 0.9× 328 1.6× 15 2.3k
Ying Fan China 9 1.6k 1.0× 1.1k 0.8× 747 1.4× 374 0.8× 303 1.5× 24 2.1k
Wenwu Ou China 16 1.6k 1.0× 1.3k 0.9× 546 1.0× 454 0.9× 184 0.9× 30 2.1k
Jeremiah Harmsen United States 7 1.5k 0.9× 1.1k 0.8× 959 1.8× 283 0.6× 278 1.4× 7 2.4k
Peng Jiang China 18 1.5k 1.0× 1.2k 0.9× 476 0.9× 472 1.0× 135 0.7× 58 2.0k
Dawei Yin China 19 1.6k 1.0× 2.0k 1.4× 493 0.9× 199 0.4× 309 1.5× 66 2.7k
Huifeng Guo China 20 875 0.5× 753 0.5× 310 0.6× 217 0.4× 141 0.7× 78 1.3k
Changhua Pei China 10 1.2k 0.8× 988 0.7× 380 0.7× 339 0.7× 223 1.1× 30 1.6k

Countries citing papers authored by Ruiming Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ruiming Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiming Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiming Tang. A scholar is included among the top collaborators of Ruiming Tang 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 Ruiming Tang. Ruiming Tang 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
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Xia, Wei, et al.. (2025). RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation. 8103–8121. 1 indexed citations
3.
Li, Xianneng, Zhaocheng Du, Huifeng Guo, et al.. (2025). LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration. 3889–3900.
4.
Jiang, Yuxin, Chuhan Wu, Wanjun Zhong, et al.. (2024). Learning to Edit: Aligning LLMs with Knowledge Editing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4689–4705. 4 indexed citations
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Du, Zhaocheng, et al.. (2024). LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. 38–46. 1 indexed citations
7.
Lin, Jianghao, et al.. (2024). SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model. 632–642. 6 indexed citations
8.
Lin, Jianghao, Xinyi Dai, Weiwen Liu, et al.. (2024). How Can Recommender Systems Benefit from Large Language Models: A Survey. ACM Transactions on Information Systems. 43(2). 1–47. 53 indexed citations breakdown →
9.
Liu, Weiwen, Jianghao Lin, Hong Zhu, et al.. (2024). Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. 12–22. 36 indexed citations
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Lin, Jianghao, et al.. (2024). M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. 3844–3853. 2 indexed citations
12.
Liu, Qidong, Xiangyu Zhao, Zhaocheng Du, et al.. (2023). Diffusion Augmentation for Sequential Recommendation. 1576–1586. 47 indexed citations
13.
Lin, Jianghao, Weiwen Liu, Ruiming Tang, et al.. (2023). An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. 1057–1065. 9 indexed citations
14.
Lin, Jianghao, Weiwen Liu, Xinyi Dai, et al.. (2023). A Bird's-eye View of Reranking: From List Level to Page Level. 1075–1083. 16 indexed citations
15.
Liu, Weiwen, et al.. (2023). Integrated Ranking for News Feed with Reinforcement Learning. 480–484. 1 indexed citations
16.
Zhu, Jieming, Guohao Cai, Junjie Huang, et al.. (2023). ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. 5728–5738. 2 indexed citations
17.
Qin, Jiarui, Weinan Zhang, Weiwen Liu, et al.. (2023). Learning to Retrieve User Behaviors for Click-through Rate Estimation. ACM Transactions on Information Systems. 41(4). 1–31. 8 indexed citations
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Chen, Bo, Weiwen Liu, Xinyi Dai, et al.. (2023). Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. 4766–4772. 1 indexed citations
20.
Tang, Ruiming, Huayu Wu, Zhifeng Bao, Stéphane Bressan, & Patrick Valduriez. (2013). The price Is right: Models and algorithms for pricing data. eCite Digital Repository (University of Tasmania). 7 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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