Yuehai Xu

1.5k total citations · 1 hit paper
11 papers, 1.1k citations indexed

About

Yuehai Xu is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Yuehai Xu has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 7 papers in Information Systems and 4 papers in Hardware and Architecture. Recurrent topics in Yuehai Xu's work include Advanced Data Storage Technologies (10 papers), Cloud Computing and Resource Management (7 papers) and Caching and Content Delivery (6 papers). Yuehai Xu is often cited by papers focused on Advanced Data Storage Technologies (10 papers), Cloud Computing and Resource Management (7 papers) and Caching and Content Delivery (6 papers). Yuehai Xu collaborates with scholars based in United States, Hong Kong and Israel. Yuehai Xu's co-authors include Song Jiang, Eitan Frachtenberg, Xingbo Wu, Zili Shao, Song Jiang, Kei Davis, Xiaoning Ding, Song Jiang, Xuechen Zhang and Yizhe Wang and has published in prestigious journals such as IEEE Internet Computing, ACM SIGMETRICS Performance Evaluation Review and Performance Evaluation.

In The Last Decade

Yuehai Xu

11 papers receiving 1.1k citations

Hit Papers

Workload analysis of a large-scale key-value store 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuehai Xu United States 9 1.1k 668 382 79 57 11 1.1k
Mohammad Alisafaee Switzerland 8 790 0.7× 589 0.9× 559 1.5× 75 0.9× 100 1.8× 12 901
Cansu Kaynak United States 11 1.0k 1.0× 705 1.1× 792 2.1× 87 1.1× 139 2.4× 11 1.2k
Jinquan Dai United States 9 578 0.5× 504 0.8× 192 0.5× 94 1.2× 23 0.4× 15 651
Adam Manzanares United States 13 632 0.6× 519 0.8× 232 0.6× 43 0.5× 27 0.5× 33 699
Kushagra Vaid United States 12 580 0.5× 421 0.6× 340 0.9× 42 0.5× 150 2.6× 23 669
Xiaolin Wang China 16 574 0.5× 434 0.6× 338 0.9× 87 1.1× 39 0.7× 61 677
Stanko Novaković United Kingdom 12 636 0.6× 476 0.7× 275 0.7× 47 0.6× 55 1.0× 18 700
Brendan Cully Canada 12 748 0.7× 598 0.9× 194 0.5× 58 0.7× 49 0.9× 20 796
Michael Wei United States 12 501 0.5× 351 0.5× 236 0.6× 107 1.4× 43 0.8× 23 605
Austin T. Clements United States 9 708 0.7× 397 0.6× 452 1.2× 129 1.6× 32 0.6× 14 802

Countries citing papers authored by Yuehai Xu

Since Specialization
Citations

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

Fields of papers citing papers by Yuehai Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuehai Xu. 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 Yuehai Xu. The network helps show where Yuehai Xu may publish in the future.

Co-authorship network of co-authors of Yuehai Xu

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

All Works

11 of 11 papers shown
1.
Wu, Xingbo, Yuehai Xu, Zili Shao, & Song Jiang. (2015). LSM-trie: an LSM-tree-based ultra-large key-value store for small data. USENIX Annual Technical Conference. 71–82. 99 indexed citations
2.
Xu, Yuehai, et al.. (2015). A Penalty Aware Memory Allocation Scheme for Key-Value Cache. 124. 530–539. 8 indexed citations
3.
Xu, Yuehai, Eitan Frachtenberg, & Song Jiang. (2014). Building a high-performance key–value cache as an energy-efficient appliance. Performance Evaluation. 79. 24–37. 11 indexed citations
4.
Jiang, Song, Xiaoning Ding, Yuehai Xu, & Kei Davis. (2013). A Prefetching Scheme Exploiting both Data Layout and Access History on Disk. ACM Transactions on Storage. 9(3). 1–23. 17 indexed citations
5.
Xu, Yuehai, et al.. (2013). Characterizing Facebook's Memcached Workload. IEEE Internet Computing. 18(2). 41–49. 44 indexed citations
6.
Jiang, Song, Xiaoning Ding, Yuehai Xu, & Kei Davis. (2013). A Prefetching Scheme Exploiting both Data Layout and Access History on Disk. ACM Transactions on Storage. 9(3). 1–23. 31 indexed citations
7.
Xu, Yuehai, et al.. (2012). Workload analysis of a large-scale key-value store. 53–64. 672 indexed citations breakdown →
8.
Wang, Yizhe, et al.. (2012). iHarmonizer: Improving the Disk Efficiency of I/O-intensive Multithreaded Codes. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 921–932. 5 indexed citations
9.
Xu, Yuehai, et al.. (2012). Workload analysis of a large-scale key-value store. ACM SIGMETRICS Performance Evaluation Review. 40(1). 53–64. 194 indexed citations
10.
Xu, Yuehai & Song Jiang. (2011). A scheduling framework that makes any disk schedulers non-work-conserving solely based on request characteristics. File and Storage Technologies. 9–9. 26 indexed citations
11.
Zhang, Xuechen, Yuehai Xu, & Song Jiang. (2011). YouChoose. ACM Transactions on Storage. 7(3). 1–18. 5 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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