Ruocheng Guo

2.2k total citations
52 papers, 781 citations indexed

About

Ruocheng Guo is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Ruocheng Guo has authored 52 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 18 papers in Information Systems and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Ruocheng Guo's work include Recommender Systems and Techniques (12 papers), Complex Network Analysis Techniques (11 papers) and Advanced Causal Inference Techniques (10 papers). Ruocheng Guo is often cited by papers focused on Recommender Systems and Techniques (12 papers), Complex Network Analysis Techniques (11 papers) and Advanced Causal Inference Techniques (10 papers). Ruocheng Guo collaborates with scholars based in United States, Hong Kong and China. Ruocheng Guo's co-authors include Huan Liu, Raha Moraffah, Jundong Li, Lu Cheng, Adrienne Raglin, Mansooreh Karami, Paulo Shakarian, Jing Ma, Xiangyu Zhao and Aidong Zhang and has published in prestigious journals such as ACM Computing Surveys, Briefings in Bioinformatics and ACM Transactions on Information Systems.

In The Last Decade

Ruocheng Guo

50 papers receiving 773 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruocheng Guo United States	18	485	197	92	79	78	52	781
Isabel Valera Germany	14	613 1.3×	73 0.4×	69 0.8×	42 0.5×	66 0.8×	39	945
Josiane Mothe France	15	492 1.0×	268 1.4×	46 0.5×	15 0.2×	83 1.1×	103	792
Henrik Legind Larsen Denmark	15	298 0.6×	126 0.6×	42 0.5×	38 0.5×	36 0.5×	65	589
Junhui Wang United States	18	653 1.3×	421 2.1×	94 1.0×	200 2.5×	159 2.0×	54	1.2k
Pavlos S. Efraimidis Greece	13	314 0.6×	229 1.2×	26 0.3×	32 0.4×	120 1.5×	59	710
Andrea G. B. Tettamanzi Italy	18	519 1.1×	69 0.4×	29 0.3×	53 0.7×	45 0.6×	87	893
James R. Foulds United States	16	591 1.2×	194 1.0×	82 0.9×	13 0.2×	75 1.0×	41	1.1k
Paul Whitney United States	10	359 0.7×	151 0.8×	95 1.0×	44 0.6×	81 1.0×	32	833
Kamal Ali United States	11	476 1.0×	336 1.7×	22 0.2×	25 0.3×	59 0.8×	22	877
William Webber Australia	14	656 1.4×	615 3.1×	75 0.8×	24 0.3×	47 0.6×	35	1.2k

Countries citing papers authored by Ruocheng Guo

Since Specialization

Citations

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

Fields of papers citing papers by Ruocheng Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruocheng Guo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Guo, Ruocheng, Wanyu Wang, Xuetao Wei, et al.. (2025). STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation. 1530–1540.

Wang, Maolin, Xiangyu Zhao, Kai Zhang, et al.. (2025). Stepwise Reasoning Disruption Attack of LLMs. CityU Scholars. 5040–5058. 1 indexed citations

Zhao, Xiangyu, Ruocheng Guo, Yao Zhao, et al.. (2024). DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems. 591–600. 2 indexed citations

Zhao, Yao, et al.. (2024). Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation. 235–244. 5 indexed citations

Cheng, Lu, et al.. (2024). Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. 1–10. 4 indexed citations

Sun, Jiankai, et al.. (2023). Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems. arXiv (Cornell University). 3865–3876. 2 indexed citations

Ma, Jing, Ruocheng Guo, Aidong Zhang, & Jundong Li. (2023). Learning for Counterfactual Fairness from Observational Data. arXiv (Cornell University). 1620–1630. 2 indexed citations

Zhao, Xiangyu, Muyang Li, Minghao Zhao, et al.. (2023). SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations. ACM Transactions on Information Systems. 42(3). 1–23. 16 indexed citations

Huang, Qiang, Jing Ma, Jundong Li, et al.. (2023). Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data. ACM Transactions on Knowledge Discovery from Data. 18(3). 1–21. 1 indexed citations

10.

Wang, Song, Zhen Tan, Ruocheng Guo, & Jundong Li. (2023). Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. 12528–12540. 2 indexed citations

11.

Ma, Jing, Ruocheng Guo, Mengting Wan, et al.. (2022). Learning Fair Node Representations with Graph Counterfactual Fairness. arXiv (Cornell University). 695–703. 42 indexed citations

12.

Li, Muyang, et al.. (2022). MLP4Rec: A Pure MLP Architecture for Sequential Recommendations. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 2138–2144. 26 indexed citations

13.

Cheng, Lu, et al.. (2022). Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication. Proceedings of the International AAAI Conference on Web and Social Media. 16. 67–78. 5 indexed citations

14.

Cheng, Lu, Ruocheng Guo, & Huan Liu. (2021). Long-Term Effect Estimation with Surrogate Representation. 274–282. 4 indexed citations

15.

Guo, Ruocheng, Lu Cheng, Jundong Li, P. Richard Hahn, & Huan Liu. (2020). A Survey of Learning Causality with Data. ACM Computing Surveys. 53(4). 1–37. 39 indexed citations

16.

Guo, Ruocheng, Jundong Li, & Huan Liu. (2019). Learning Individual Treatment Effects from Networked Observational Data.. arXiv (Cornell University). 1 indexed citations

17.

Beigi, Ghazaleh, et al.. (2019). Protecting User Privacy. 213–221. 17 indexed citations

18.

Li, Jundong, Liang Wu, Ruocheng Guo, Chenghao Liu, & Huan Liu. (2019). Multi-level network embedding with boosted low-rank matrix approximation. 49–56. 20 indexed citations

19.

Guo, Ruocheng, et al.. (2018). Detecting Pathogenic Social Media Accounts without Content or Network Structure. 57–64. 10 indexed citations

20.

Guo, Ruocheng & Paulo Shakarian. (2016). A comparison of methods for cascade prediction. 591–598. 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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