Stephen Guo

820 total citations
16 papers, 413 citations indexed

About

Stephen Guo is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Stephen Guo has authored 16 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Information Systems and 4 papers in Management Science and Operations Research. Recurrent topics in Stephen Guo's work include Recommender Systems and Techniques (6 papers), Topic Modeling (4 papers) and Advanced Graph Neural Networks (4 papers). Stephen Guo is often cited by papers focused on Recommender Systems and Techniques (6 papers), Topic Modeling (4 papers) and Advanced Graph Neural Networks (4 papers). Stephen Guo collaborates with scholars based in United States, Australia and China. Stephen Guo's co-authors include Aditya Parameswaran, Héctor García-Molina, Jure Leskovec, Emre Kıcıman, Ming‐Wei Chang, Philip S. Yu, Xiaohan Li, Kannan Achan, Ziwei Fan and Zhiwei Liu and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Knowledge and Data Engineering and arXiv (Cornell University).

In The Last Decade

Stephen Guo

15 papers receiving 384 citations

Peers

Stephen Guo
Toby Walker United States
Mücahid Kutlu Türkiye
Katharina Siorpaes Austria
Silviu Maniu France
Uldis Bojārs Ireland
Hung‐Hsuan Chen Taiwan
Stefano Faralli Italy
Ba-Quy Vuong Singapore
Abdallah Yousif China
Toby Walker United States
Stephen Guo
Citations per year, relative to Stephen Guo Stephen Guo (= 1×) peers Toby Walker

Countries citing papers authored by Stephen Guo

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Guo

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

All Works

16 of 16 papers shown
1.
Xu, Shuyuan, et al.. (2024). Causal Structure Learning for Recommender System. 3(1). 1–23. 2 indexed citations
2.
3.
Liu, Bo, et al.. (2023). Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. arXiv (Cornell University). 1884–1888. 4 indexed citations
4.
Pang, Linsey, et al.. (2022). Applied Machine Learning Methods for Time Series Forecasting. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 5175–5176. 2 indexed citations
5.
Li, Xiaohan, et al.. (2022). Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. 2022 IEEE International Conference on Big Data (Big Data). 616–625. 5 indexed citations
6.
Pang, Linsey, Wei Liu, Keng-hao Chang, et al.. (2022). Deep Search Relevance Ranking in Practice. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4810–4811. 1 indexed citations
7.
Mantha, Aditya, et al.. (2021). Generating Rich Product Descriptions for Conversational E-commerce Systems. arXiv (Cornell University). 349–356. 2 indexed citations
8.
Li, Xiaohan, Zhiwei Liu, Stephen Guo, et al.. (2021). Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. 2021 IEEE International Conference on Big Data (Big Data). 457–468. 12 indexed citations
9.
Liu, Zhiwei, Xiaohan Li, Ziwei Fan, et al.. (2020). Basket Recommendation with Multi-Intent Translation Graph Neural Network. 728–737. 37 indexed citations
10.
Mao, Feng, et al.. (2019). Recovery-oriented Big Data Computing for Exactly Once Message Processing. 2923–2930. 1 indexed citations
11.
Mao, Feng, et al.. (2017). Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing. 80–89. 15 indexed citations
12.
Guo, Stephen, et al.. (2015). SociaLite: An Efficient Graph Query Language Based on Datalog. IEEE Transactions on Knowledge and Data Engineering. 27(7). 1824–1837. 15 indexed citations
13.
Guo, Stephen, Ming‐Wei Chang, & Emre Kıcıman. (2013). To Link or Not to Link? A Study on End-to-End Tweet Entity Linking. North American Chapter of the Association for Computational Linguistics. 1020–1030. 89 indexed citations
14.
Liu, Xiao, Samuel S. Gross, Andy Nguyễn, et al.. (2013). Automated cellular annotation for high-resolution images of adult Caenorhabditis elegans. Bioinformatics. 29(13). i18–i26. 5 indexed citations
15.
Guo, Stephen, Aditya Parameswaran, & Héctor García-Molina. (2012). So who won?. 385–396. 127 indexed citations
16.
Guo, Stephen, et al.. (2011). The role of social networks in online shopping. 157–166. 96 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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2026