Zhiping Gu

597 total citations
9 papers, 413 citations indexed

About

Zhiping Gu is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Zhiping Gu has authored 9 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 6 papers in Artificial Intelligence and 2 papers in Management Science and Operations Research. Recurrent topics in Zhiping Gu's work include Recommender Systems and Techniques (8 papers), Advanced Graph Neural Networks (2 papers) and Advanced Bandit Algorithms Research (2 papers). Zhiping Gu is often cited by papers focused on Recommender Systems and Techniques (8 papers), Advanced Graph Neural Networks (2 papers) and Advanced Bandit Algorithms Research (2 papers). Zhiping Gu collaborates with scholars based in China, Australia and United States. Zhiping Gu's co-authors include Liang Hu, Longbing Cao, Guandong Xu, Jian Cao, Can Zhu, Wei Cao, Shoujin Wang, Qingkui Chen, Songlei Jian and Jie Wang and has published in prestigious journals such as ACM Transactions on Information Systems, UTS ePRESS (University of Technology Sydney) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Zhiping Gu

9 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiping Gu China 7 379 269 86 81 49 9 413
Balázs Hidasi Hungary 7 419 1.1× 288 1.1× 113 1.3× 148 1.8× 45 0.9× 14 488
Refuoe Mokhosi China 5 540 1.4× 455 1.7× 166 1.9× 113 1.4× 50 1.0× 9 602
Yukihiro Tagami Japan 5 308 0.8× 309 1.1× 38 0.4× 110 1.4× 35 0.7× 15 418
Xuezhi Cao China 10 241 0.6× 300 1.1× 71 0.8× 84 1.0× 39 0.8× 21 408
Aghiles Salah Singapore 10 210 0.6× 181 0.7× 42 0.5× 107 1.3× 22 0.4× 14 305
Roberto Mirizzi Italy 7 268 0.7× 240 0.9× 38 0.4× 66 0.8× 42 0.9× 16 353
Qiang Cui China 8 264 0.7× 169 0.6× 40 0.5× 57 0.7× 41 0.8× 13 343

Countries citing papers authored by Zhiping Gu

Since Specialization
Citations

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

Fields of papers citing papers by Zhiping Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiping Gu

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

All Works

9 of 9 papers shown
1.
Hu, Liang, et al.. (2019). HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3830–3837. 39 indexed citations
2.
Hu, Liang, Longbing Cao, Shoujin Wang, et al.. (2017). Diversifying Personalized Recommendation with User-session Context. 1858–1864. 67 indexed citations
3.
Hu, Liang, Longbing Cao, Jian Cao, et al.. (2017). Improving the Quality of Recommendations for Users and Items in the Tail of Distribution. ACM Transactions on Information Systems. 35(3). 1–37. 18 indexed citations
4.
Hu, Liang, Longbing Cao, Jian Cao, et al.. (2016). Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains. ACM Transactions on Information Systems. 35(2). 1–37. 23 indexed citations
5.
Hu, Liang, Wei Cao, Jian Cao, et al.. (2014). Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages. 1. 851–856. 2 indexed citations
6.
Hu, Liang, et al.. (2014). Deep Modeling of Group Preferences for Group-Based Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 75 indexed citations
7.
Hu, Liang, Jian Cao, Guandong Xu, et al.. (2013). Personalized recommendation via cross-domain triadic factorization. 595–606. 178 indexed citations
8.
Hu, Liang, Jian Cao, Guandong Xu, et al.. (2013). Cross-domain collaborative filtering via bilinear multilevel analysis. UTS ePRESS (University of Technology Sydney). 2626–2632. 8 indexed citations
9.
Cao, Jian, et al.. (2008). Modeling Semantic Web Service using Semantic Templates. 1. 165–172. 3 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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