Curtis Yu
Impact in
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- Caching and Content Delivery
- Network Security and Intrusion Detection
- Advanced Data Storage Technologies
- Software-Defined Networks and 5G
- IoT and Edge/Fog Computing
- Distributed systems and fault tolerance
- Information Systems top 5%
- Cloud Computing and Resource Management
Papers in
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- Caching and Content Delivery 2
- Advanced Data Storage Technologies 2
- Network Security and Intrusion Detection 2
- IoT and Edge/Fog Computing 1
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- Cloud Computing and Resource Management 3
- Co-authors
- Harsha V. Madhyastha (4 shared papers)Zhe Wu (1 shared paper)Guofei Jiang (1 shared paper)Yueping Zhang (1 shared paper)Vishal Singh (1 shared paper)Anupam Das (1 shared paper)Cristian Lumezanu (1 shared paper)Nitin Agrawal (1 shared paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Curtis Yu
6 papers receiving 223 citations
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 188
- Information Systems 112
- Artificial Intelligence 92
- Signal Processing 19
- Hardware and Architecture 9
Countries citing papers authored by Curtis Yu
This map shows the geographic impact of Curtis Yu'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 Curtis Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curtis Yu more than expected).
Fields of papers citing papers by Curtis Yu
This network shows the impact of papers produced by Curtis Yu. 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 Curtis Yu. The network helps show where Curtis Yu may publish in the future.
Co-authors
The 12 scholars most cited alongside Curtis Yu, 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 | 2012 | 67 | |
| 2 | CosTLO: cost-effective redundancy for lower latency variance on cloud storage services | 2015 | 64 |
| 3 | Transparent and Flexible Network Management for Big Data Processing in the Cloud | 2013 | 44 |
| 4 | 2014 | 21 | |
| 5 | 2015 | 21 | |
| 6 | 2011 | 12 |
About Curtis Yu
Curtis Yu is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering, having authored 6 papers that have together received 229 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Caching and Content Delivery (2 papers), Advanced Data Storage Technologies (2 papers), Network Security and Intrusion Detection (2 papers), Privacy-Preserving Technologies in Data (1 paper), Green IT and Sustainability (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Computer Networks and Communications (188 citations), Information Systems (112 citations), Artificial Intelligence (92 citations), Signal Processing (19 citations) and Hardware and Architecture (9 citations). Curtis Yu has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Harsha V. Madhyastha, Zhe Wu, Guofei Jiang, Yueping Zhang, Vishal Singh, Anupam Das, Cristian Lumezanu, Nitin Agrawal, Cristian Ungureanu and Vana Kalogeraki. Their work appears in journals such as IEEE/ACM Transactions on Networking.
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.