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 — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hansu Gu United States 14 237 201 67 43 43 51 360
Suhas Ranganath United States 9 189 0.8× 129 0.6× 79 1.2× 45 1.0× 35 0.8× 19 304
Pavlos Kefalas Greece 11 309 1.3× 235 1.2× 38 0.6× 56 1.3× 39 0.9× 19 420
Huaizhen Kou China 8 152 0.6× 193 1.0× 66 1.0× 118 2.7× 39 0.9× 20 393
Yeon-Chang Lee South Korea 12 254 1.1× 266 1.3× 131 2.0× 44 1.0× 71 1.7× 35 429
Yuhan Quan China 5 342 1.4× 344 1.7× 109 1.6× 53 1.2× 29 0.7× 7 498
Yu Lei Hong Kong 11 310 1.3× 261 1.3× 112 1.7× 87 2.0× 31 0.7× 15 481
Hengliang Luo China 11 215 0.9× 148 0.7× 44 0.7× 24 0.6× 13 0.3× 22 300
Jiangzhou Deng China 10 243 1.0× 122 0.6× 110 1.6× 46 1.1× 17 0.4× 18 326
Nan Zheng China 7 173 0.7× 85 0.4× 81 1.2× 29 0.7× 19 0.4× 16 253
Jiayu Han China 13 191 0.8× 273 1.4× 58 0.9× 37 0.9× 17 0.4× 30 387

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

20 of 20 papers shown
1.
Li, Dongsheng, Hansu Gu, Peng Zhang, et al.. (2025). AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations. 2566–2571.
2.
Zhang, Peng, et al.. (2025). WePilot: Integrating Younger Family Members and Chatbot to Support Older Adults Learning Smartphone Usage. Proceedings of the ACM on Human-Computer Interaction. 9(7). 1–34.
3.
Li, Dongsheng, Hansu Gu, Tun Lu, et al.. (2025). Frequency-aware Graph Signal Processing for Collaborative Filtering. 1417–1421.
4.
Zhang, Peng, Dongsheng Li, Hansu Gu, et al.. (2025). Filtering Discomforting Recommendations with Large Language Models. 3639–3650.
5.
Li, Dongsheng, Hansu Gu, Tun Lu, et al.. (2025). Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation. 363–372.
6.
Li, Dongsheng, et al.. (2025). FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation. 1687–1696. 1 indexed citations
7.
Li, Yaqiong, et al.. (2025). DeMod: A Holistic Tool with Explainable Detection and Personalized Modification for Toxicity Censorship. Proceedings of the ACM on Human-Computer Interaction. 9(2). 1–24.
8.
Li, Dongsheng, Hansu Gu, Peng Zhang, et al.. (2025). Improving LLM-powered Recommendations with Personalized Information. 2560–2565.
9.
10.
Li, Dongsheng, Hansu Gu, Tun Lu, et al.. (2024). Hierarchical Graph Signal Processing for Collaborative Filtering. 3229–3240. 4 indexed citations
11.
Li, Dongsheng, et al.. (2024). Simulating News Recommendation Ecosystems for Insights and Implications. IEEE Transactions on Computational Social Systems. 11(5). 5699–5713. 8 indexed citations
12.
Zhang, Peng, et al.. (2024). DeLink: An Adversarial Framework for Defending against Cross-site User Identity Linkage. ACM Transactions on the Web. 18(2). 1–34. 1 indexed citations
13.
Gu, Hansu, et al.. (2024). RAH! RecSys–Assistant–Human: A Human-Centered Recommendation Framework With LLM Agents. IEEE Transactions on Computational Social Systems. 11(5). 6759–6770. 15 indexed citations
14.
Li, Dongsheng, et al.. (2024). Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation. ACM Transactions on the Web. 18(3). 1–33. 6 indexed citations
15.
Li, Dongsheng, Hansu Gu, Tun Lu, et al.. (2024). Neural Kalman Filtering for Robust Temporal Recommendation. 836–845. 4 indexed citations
16.
Liu, S. B., Hansu Gu, Dongsheng Li, et al.. (2023). AutoSeqRec: Autoencoder for Efficient Sequential Recommendation. 1493–1502. 17 indexed citations
17.
Li, Dongsheng, Hansu Gu, Tun Lu, et al.. (2023). Personalized Graph Signal Processing for Collaborative Filtering. arXiv (Cornell University). 1264–1272. 17 indexed citations
18.
Li, Dongsheng, Hansu Gu, Tun Lu, et al.. (2023). Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. 1086–1095. 5 indexed citations
19.
Gu, Hansu, et al.. (2023). Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. 2523–2533. 15 indexed citations
20.
Zhang, Peng, et al.. (2022). Jointly Predicting Future Content in Multiple Social Media Sites Based on Multi-task Learning. ACM Transactions on Information Systems. 40(4). 1–28. 2 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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