Hansu Gu
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
- Artificial Intelligence top 5%
- Topic Modeling
- Advanced Graph Neural Networks
Papers in
-
- Topic Modeling 11
- Advanced Graph Neural Networks 10
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- Recommender Systems and Techniques 25
- Co-authors
- Tun Lu (45 shared papers)Ning Gu (44 shared papers)Dongsheng Li (21 shared papers)Peng Zhang (31 shared papers)Qin Lv (6 shared papers)Li Shang (12 shared papers)Dirk Grunwald (3 shared papers)Xing Xie (2 shared papers)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (5 papers)IEEE Transactions on Computational Social Systems (3 papers)ACM Transactions on the Web (3 papers)Science China Information Sciences (1 paper)ACM Transactions on Information Systems (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Hansu Gu
46 papers receiving 395 citations
Peers
Comparison fields: 5 of 72
- Information Systems 244
- Artificial Intelligence 213
- Transportation 44
- Computer Science Applications 31
- Statistical and Nonlinear Physics 45
Countries citing papers authored by Hansu Gu
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
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-authors
The 25 scholars most cited alongside Hansu Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 32 | |
| 2 | 2017 | 23 | |
| 3 | 2022 | 22 | |
| 4 | 2021 | 21 | |
| 5 | 2022 | 20 | |
| 6 | 2016 | 19 | |
| 7 | 2018 | 19 | |
| 8 | 2023 | 18 | |
| 9 | 2023 | 18 | |
| 10 | 2024 | 18 | |
| 11 | 2023 | 16 | |
| 12 | 2022 | 16 | |
| 13 | 2012 | 15 | |
| 14 | 2013 | 14 | |
| 15 | 2012 | 13 | |
| 16 | 2017 | 11 | |
| 17 | 2016 | 11 | |
| 18 | 2024 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2020 | 7 |
About Hansu Gu
Hansu Gu is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Computer Networks and Communications and Sociology and Political Science, having authored 56 papers that have together received 407 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (25 papers), Topic Modeling (11 papers), Advanced Graph Neural Networks (10 papers), Complex Network Analysis Techniques (10 papers), Caching and Content Delivery (8 papers), Human Mobility and Location-Based Analysis (7 papers), Social Media and Politics (6 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). The work is most often cited by research in Information Systems (244 citations), Artificial Intelligence (213 citations), Transportation (44 citations), Computer Science Applications (31 citations) and Statistical and Nonlinear Physics (45 citations). Hansu Gu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Tun Lu, Ning Gu, Dongsheng Li, Peng Zhang, Qin Lv, Li Shang, Dirk Grunwald, Xing Xie, Yaoping Ruan and Mike Gartrell. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, IEEE Transactions on Computational Social Systems, ACM Transactions on the Web, Science China Information Sciences and ACM Transactions on Information Systems.
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.