Yu Gu
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
-
- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
Papers in
-
- Data Management and Algorithms 37
-
- Stochastic processes and statistical mechanics 19
- Co-authors
- Ge YuJianzhong QiRui ZhangGuillaume BalYubin BaoHao YangFan YeHui Lei
- Journals
- IEEE Transactions on Knowledge and Data Engineering (11 papers)Stochastic Partial Differential Equations Analysis and Computations (4 papers)Proceedings of the VLDB Endowment (4 papers)IEEE Transactions on Big Data (3 papers)World Wide Web (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yu Gu
113 papers receiving 857 citations
Peers
Comparison fields: 5 of 89
- Signal Processing 254
- Computer Networks and Communications 253
- Geography, Planning and Development 61
- Mathematical Physics 88
- Computer Vision and Pattern Recognition 191
Countries citing papers authored by Yu Gu
This map shows the geographic impact of Yu 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 Yu Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Gu more than expected).
Fields of papers citing papers by Yu Gu
This network shows the impact of papers produced by Yu 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 Yu Gu. The network helps show where Yu Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2022 | 1 | |
| 14 | 2018 | 5 | |
| 15 | A New DHT: Network Steganography Based on Distributed Coding. | 2018 | 3 |
| 16 | 2018 | 4 | |
| 17 | An Efficient Method for k Nearest Neighbor Searching in Obstructed Spatial Databases | 2014 | 10 |
| 18 | 2014 | 2 | |
| 19 | Optimal k-constraint coverage queries on spatial objects | 2012 | 1 |
| 20 | An empirical study of high availability in stream processing systems | 2009 | 39 |
About Yu Gu
Yu Gu is a scholar working on Signal Processing, Mathematical Physics, Geography, Planning and Development, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 130 papers that have together received 884 indexed citations. Recurring topics across this work include Data Management and Algorithms (37 papers), Graph Theory and Algorithms (19 papers), Stochastic processes and statistical mechanics (19 papers), Advanced Graph Neural Networks (17 papers), Advanced Image and Video Retrieval Techniques (13 papers), Advanced Database Systems and Queries (12 papers), Advanced Mathematical Modeling in Engineering (11 papers) and Geographic Information Systems Studies (11 papers). The work is most often cited by research in Signal Processing (254 citations), Computer Networks and Communications (253 citations), Geography, Planning and Development (61 citations), Mathematical Physics (88 citations) and Computer Vision and Pattern Recognition (191 citations). Yu Gu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ge Yu, Jianzhong Qi, Rui Zhang, Guillaume Bal, Yubin Bao, Hao Yang, Fan Ye, Hui Lei, Li Bao and Minkyong Kim. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Stochastic Partial Differential Equations Analysis and Computations, Proceedings of the VLDB Endowment, IEEE Transactions on Big Data and World Wide Web.
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.