Hansu Gu

694 total citations
51 papers, 360 citations indexed

About

Hansu Gu is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Hansu Gu has authored 51 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 29 papers in Artificial Intelligence and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Hansu Gu's work include Recommender Systems and Techniques (25 papers), Topic Modeling (10 papers) and Advanced Graph Neural Networks (10 papers). Hansu Gu is often cited by papers focused on Recommender Systems and Techniques (25 papers), Topic Modeling (10 papers) and Advanced Graph Neural Networks (10 papers). Hansu Gu collaborates with scholars based in United States, China and United Kingdom. Hansu Gu's co-authors include Tun Lu, Ning Gu, Dongsheng Li, Peng Zhang, Qin Lv, Li Shang, Dirk Grunwald, Xing Xie, Yaoping Ruan and Mike Gartrell and has published in prestigious journals such as IEEE Access, Knowledge-Based Systems and ACM Transactions on Information Systems.

In The Last Decade

Hansu Gu

39 papers receiving 346 citations

Peers

Countries citing papers authored by Hansu Gu

Since Specialization

Citations

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

Fields of papers citing papers by Hansu Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hansu Gu

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

All Works

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations		Dongsheng Li, Hansu Gu et al.	0
2	WePilot: Integrating Younger Family Members and Chatbot to Support Older Adults Learning Smartphone Usage	Proceedings of the ACM on Human-Computer Interaction	Peng Zhang, Yan Chen et al.	0
3	Frequency-aware Graph Signal Processing for Collaborative Filtering		Dongsheng Li, Hansu Gu et al.	0
4	Filtering Discomforting Recommendations with Large Language Models		Peng Zhang, Dongsheng Li et al.	0
5	Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation		Dongsheng Li, Hansu Gu et al.	0
6	FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation		Dongsheng Li, Hansu Gu et al.	1
7	DeMod: A Holistic Tool with Explainable Detection and Personalized Modification for Toxicity Censorship	Proceedings of the ACM on Human-Computer Interaction	Yaqiong Li, Peng Zhang et al.	0
8	Improving LLM-powered Recommendations with Personalized Information		Dongsheng Li, Hansu Gu et al.	0
9	YouthCare: Building a Personalized Collaborative Video Censorship Tool to Support Parent-Child Joint Media Engagement		Peng Zhang, Hansu Gu et al.	0
10	Hierarchical Graph Signal Processing for Collaborative Filtering		Dongsheng Li, Hansu Gu et al.	4
11	Simulating News Recommendation Ecosystems for Insights and Implications	IEEE Transactions on Computational Social Systems	Dongsheng Li, Hansu Gu et al.	8
12	DeLink: An Adversarial Framework for Defending against Cross-site User Identity Linkage	ACM Transactions on the Web	Peng Zhang, Tun Lu et al.	1
13	RAH! RecSys–Assistant–Human: A Human-Centered Recommendation Framework With LLM Agents	IEEE Transactions on Computational Social Systems	Hansu Gu, Peng Zhang et al.	15
14	Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation	ACM Transactions on the Web	Dongsheng Li, Hansu Gu et al.	6
15	Neural Kalman Filtering for Robust Temporal Recommendation		Dongsheng Li, Hansu Gu et al.	4
16	AutoSeqRec: Autoencoder for Efficient Sequential Recommendation		S. B. Liu, Hansu Gu et al.	17
17	Personalized Graph Signal Processing for Collaborative Filtering	arXiv (Cornell University)	Dongsheng Li, Hansu Gu et al.	17
18	Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation		Dongsheng Li, Hansu Gu et al.	5
19	Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction		Hansu Gu, Dongsheng Li et al.	15
20	Jointly Predicting Future Content in Multiple Social Media Sites Based on Multi-task Learning	ACM Transactions on Information Systems	Peng Zhang, Tun Lu et al.	2

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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