Curtis Yu

689 total citations
6 papers, 229 citations indexed

About

Curtis Yu is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Curtis Yu has authored 6 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 3 papers in Information Systems and 2 papers in Artificial Intelligence. Recurrent topics in Curtis Yu's work include Cloud Computing and Resource Management (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Advanced Data Storage Technologies (2 papers). Curtis Yu is often cited by papers focused on Cloud Computing and Resource Management (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Advanced Data Storage Technologies (2 papers). Curtis Yu collaborates with scholars based in United States, Japan and South Korea. Curtis Yu's co-authors include Harsha V. Madhyastha, Zhe Wu, Anupam Das, Guofei Jiang, Yueping Zhang, Vishal Singh, Cristian Lumezanu, Nitin Agrawal, Cristian Ungureanu and Dimitrios Gunopulos and has published in prestigious journals such as IEEE/ACM Transactions on Networking.

In The Last Decade

Curtis Yu

6 papers receiving 223 citations

Peers

Curtis Yu
Shahin Shayandeh United States
Stephanos Matsumoto United States
Thyla van der Merwe United Kingdom
Curtis Yu
Citations per year, relative to Curtis Yu Curtis Yu (= 1×) peers Karima Boudaoud

Countries citing papers authored by Curtis Yu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Curtis Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Curtis Yu. A scholar is included among the top collaborators of Curtis Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Curtis Yu. Curtis Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Wu, Zhe, Curtis Yu, & Harsha V. Madhyastha. (2015). CosTLO: cost-effective redundancy for lower latency variance on cloud storage services. 543–557. 64 indexed citations
2.
Agrawal, Nitin, et al.. (2015). Simba. 1–16. 21 indexed citations
3.
Yu, Curtis, et al.. (2014). LASTor: A Low-Latency AS-Aware Tor Client. IEEE/ACM Transactions on Networking. 22(6). 1742–1755. 21 indexed citations
4.
Das, Anupam, Cristian Lumezanu, Yueping Zhang, et al.. (2013). Transparent and Flexible Network Management for Big Data Processing in the Cloud. 44 indexed citations
5.
Yu, Curtis, et al.. (2012). LASTor: A Low-Latency AS-Aware Tor Client. 476–490. 67 indexed citations
6.
Kalogeraki, Vana, et al.. (2011). Data Clustering on a Network of Mobile Smartphones. 1. 118–127. 12 indexed citations

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.

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