Xinyu Que
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
Papers in
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- Advanced Data Storage Technologies 7
- Interconnection Networks and Systems 3
- Distributed and Parallel Computing Systems 2
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- Parallel Computing and Optimization Techniques 10
- Co-authors
- Fabrizio Petrini (6 shared papers)Fabio Checconi (8 shared papers)Weikuan Yu (6 shared papers)John A. Gunnels (3 shared papers)Yandong Wang (3 shared papers)Cong Xu (2 shared papers)Yan‐Dong Wang (1 shared paper)Xing Liu (1 shared paper)
- Journals
- Computer (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)Journal of Chemical Information and Modeling (1 paper)IEEE Transactions on Computers (1 paper)Computer Science - Research and Development (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Xinyu Que
16 papers receiving 270 citations
Peers
Comparison fields: 5 of 63
- Hardware and Architecture 55
- Computer Networks and Communications 175
- Information Systems 120
- Statistical and Nonlinear Physics 51
- Computer Vision and Pattern Recognition 54
Countries citing papers authored by Xinyu Que
This map shows the geographic impact of Xinyu Que'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 Xinyu Que with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyu Que more than expected).
Fields of papers citing papers by Xinyu Que
This network shows the impact of papers produced by Xinyu Que. 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 Xinyu Que. The network helps show where Xinyu Que may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinyu Que, 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 | 2015 | 91 | |
| 2 | 2011 | 76 | |
| 3 | 2016 | 36 | |
| 4 | 2013 | 16 | |
| 5 | 2014 | 16 | |
| 6 | 2016 | 15 | |
| 7 | 2015 | 12 | |
| 8 | 2020 | 5 | |
| 9 | 2017 | 4 | |
| 10 | 2015 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2012 | 3 | |
| 13 | 2016 | 3 | |
| 14 | 2011 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2010 | 1 | |
| 17 | 2018 | 0 |
About Xinyu Que
Xinyu Que is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 17 papers that have together received 287 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (7 papers), Cloud Computing and Resource Management (6 papers), Graph Theory and Algorithms (5 papers), Interconnection Networks and Systems (3 papers), Advanced Graph Neural Networks (3 papers), Distributed and Parallel Computing Systems (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (55 citations), Computer Networks and Communications (175 citations), Information Systems (120 citations), Statistical and Nonlinear Physics (51 citations) and Computer Vision and Pattern Recognition (54 citations). Xinyu Que has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Fabrizio Petrini, Fabio Checconi, Weikuan Yu, John A. Gunnels, Yandong Wang, Cong Xu, Yan‐Dong Wang, Xing Liu, Yogish Sabharwal and Venkatesan T. Chakaravarthy. Their work appears in journals such as Computer, IEEE Transactions on Parallel and Distributed Systems, Journal of Chemical Information and Modeling, IEEE Transactions on Computers and Computer Science - Research and Development.
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.