Yu David Liu

1.2k total citations
55 papers, 750 citations indexed

About

Yu David Liu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Yu David Liu has authored 55 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Hardware and Architecture, 31 papers in Computer Networks and Communications and 22 papers in Information Systems. Recurrent topics in Yu David Liu's work include Parallel Computing and Optimization Techniques (32 papers), Green IT and Sustainability (19 papers) and Cloud Computing and Resource Management (18 papers). Yu David Liu is often cited by papers focused on Parallel Computing and Optimization Techniques (32 papers), Green IT and Sustainability (19 papers) and Cloud Computing and Resource Management (18 papers). Yu David Liu collaborates with scholars based in United States, Brazil and Canada. Yu David Liu's co-authors include Fernando Castor, Gustavo Pinto, Scott F. Smith, Michael E. Cohen, Guoqing Xu, Marjan Mernik, Tomaž Kosar, Zhendong Su, Kai Wang and Lukasz Ziarek and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM SIGPLAN Notices and IEEE Security & Privacy.

In The Last Decade

Yu David Liu

49 papers receiving 709 citations

Peers

Yu David Liu
Alex Shye United States
Carla Ellis United States
G.-C. Roman United States
Youngseok Lee South Korea
Aravind Machiry United States
Radhika Mittal United States
Yu David Liu
Citations per year, relative to Yu David Liu Yu David Liu (= 1×) peers Romain Rouvoy

Countries citing papers authored by Yu David Liu

Since Specialization
Citations

This map shows the geographic impact of Yu David Liu'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 David Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu David Liu more than expected).

Fields of papers citing papers by Yu David Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu David Liu. 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 David Liu. The network helps show where Yu David Liu may publish in the future.

Co-authorship network of co-authors of Yu David Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu David Liu. A scholar is included among the top collaborators of Yu David Liu 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 Yu David Liu. Yu David Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kosar, Tomaž, et al.. (2024). Computer Science Education in ChatGPT Era: Experiences from an Experiment in a Programming Course for Novice Programmers. Mathematics. 12(5). 629–629. 45 indexed citations
2.
Liu, Yu David, et al.. (2024). A Runtime System for Interruptible Query Processing: When Incremental Computing Meets Fine-Grained Parallelism. Proceedings of the ACM on Programming Languages. 8(OOPSLA2). 1729–1756.
3.
Liu, Yu David, et al.. (2024). VESTA: Power Modeling with Language Runtime Events. Proceedings of the ACM on Programming Languages. 8(PLDI). 621–646.
4.
Liu, Yu David, et al.. (2023). Vincent: Green hot methods in the JVM. Science of Computer Programming. 230. 102962–102962. 2 indexed citations
5.
Gandhi, Anshul, Dongyoon Lee, Zhenhua Liu, et al.. (2023). Metrics for Sustainability in Data Centers. 3(3). 40–46. 13 indexed citations
6.
Ko, Steven Y., et al.. (2022). A quantitative analysis of system bottlenecks in visual SLAM. 74–80. 6 indexed citations
7.
Liu, Yu David, et al.. (2020). Calm energy accounting for multithreaded Java applications. 976–988. 3 indexed citations
8.
Liu, Yu David, et al.. (2018). Stochastic energy optimization for mobile GPS applications. 703–713. 16 indexed citations
9.
Liu, Yu David, et al.. (2016). Lazy graph processing in Haskell. ACM SIGPLAN Notices. 51(12). 182–192. 1 indexed citations
10.
Liu, Yu David, et al.. (2016). Lazy graph processing in Haskell. 182–192. 1 indexed citations
11.
Liu, Yu David, et al.. (2015). A programming model for sustainable software. International Conference on Software Engineering. 1. 767–777. 22 indexed citations
12.
Wang, Kai, Guoqing Xu, Zhendong Su, & Yu David Liu. (2015). GraphQ: graph query processing with abstraction refinement: scalable and programmable analytics over very large graphs on a single PC. USENIX Annual Technical Conference. 387–401. 37 indexed citations
13.
Pinto, Gustavo, Fernando Castor, & Yu David Liu. (2014). Understanding energy behaviors of thread management constructs. ACM SIGPLAN Notices. 49(10). 345–360. 18 indexed citations
14.
Liu, Yu David, et al.. (2014). Rate types for stream programs. 213–232. 3 indexed citations
15.
Liu, Yu David, et al.. (2014). Energy-efficient work-stealing language runtimes. ACM SIGARCH Computer Architecture News. 42(1). 513–528. 7 indexed citations
16.
Liu, Yu David, et al.. (2013). Green streams for data-intensive software. International Conference on Software Engineering. 532–541. 18 indexed citations
17.
Liu, Yu David. (2012). Energy-efficient synchronization through program patterns. 35–40. 12 indexed citations
18.
Liu, Yu David, et al.. (2010). Task types for pervasive atomicity. ACM SIGPLAN Notices. 45(10). 671–690.
19.
Liu, Yu David, Christian Skalka, & Scott F. Smith. (2009). Type-specialized staged programming with process separation. 49–60. 3 indexed citations
20.
Liu, Yu David & Scott F. Smith. (2006). A formal framework for component deployment. 325–344. 16 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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