Juncheng Gu
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Software-Defined Networks and 5G
Papers in
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- Caching and Content Delivery 4
- Advanced Data Storage Technologies 4
- IoT and Edge/Fog Computing 2
-
- Cloud Computing and Resource Management 8
- Co-authors
- Mosharaf Chowdhury (3 shared papers)Kang G. Shin (3 shared papers)Youngmoon Lee (2 shared papers)Longjun Liu (5 shared papers)Yibo Zhu (1 shared paper)Tao Li (5 shared papers)Yang Hu (5 shared papers)Junjie Qian (1 shared paper)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (1 paper)Reactive and Functional Polymers (1 paper)ACM SIGARCH Computer Architecture News (2 papers)Scholarworks@UNIST (Ulsan National Institute of Science and Technology) (1 paper)Networked Systems Design and Implementation (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Juncheng Gu
11 papers receiving 416 citations
Peers
Comparison fields: 5 of 45
- Hardware and Architecture 106
- Computer Networks and Communications 289
- Information Systems 232
- Artificial Intelligence 131
- Computer Vision and Pattern Recognition 69
Countries citing papers authored by Juncheng Gu
This map shows the geographic impact of Juncheng 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 Juncheng Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juncheng Gu more than expected).
Fields of papers citing papers by Juncheng Gu
This network shows the impact of papers produced by Juncheng 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 Juncheng Gu. The network helps show where Juncheng Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Juncheng 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 | Tiresias: A {GPU} Cluster Manager for Distributed Deep Learning | 2019 | 114 |
| 2 | Efficient memory disaggregation with INFINISWAP | 2017 | 91 |
| 3 | 2020 | 54 | |
| 4 | 2015 | 51 | |
| 5 | 2015 | 42 | |
| 6 | 2015 | 18 | |
| 7 | 2015 | 15 | |
| 8 | 2017 | 15 | |
| 9 | 2016 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2015 | 6 |
About Juncheng Gu
Juncheng Gu is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 423 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (8 papers), Caching and Content Delivery (4 papers), Advanced Data Storage Technologies (4 papers), Parallel Computing and Optimization Techniques (3 papers), Green IT and Sustainability (2 papers), IoT and Edge/Fog Computing (2 papers), Insect and Pesticide Research (1 paper) and Nuclear Materials and Properties (1 paper). The work is most often cited by research in Hardware and Architecture (106 citations), Computer Networks and Communications (289 citations), Information Systems (232 citations), Artificial Intelligence (131 citations) and Computer Vision and Pattern Recognition (69 citations). Juncheng Gu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Mosharaf Chowdhury, Kang G. Shin, Youngmoon Lee, Longjun Liu, Yibo Zhu, Tao Li, Yang Hu, Junjie Qian, Hongqiang Harry Liu and Chuanxiong Guo. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Reactive and Functional Polymers, ACM SIGARCH Computer Architecture News, Scholarworks@UNIST (Ulsan National Institute of Science and Technology) and Networked Systems Design and Implementation.
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.