Ying Sheng

18 total papers · 1.2k total citations
6 papers, 303 citations indexed

About

Ying Sheng is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ying Sheng has authored 6 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in Ying Sheng's work include Logic, programming, and type systems (2 papers), Software Engineering Research (2 papers) and Formal Methods in Verification (2 papers). Ying Sheng is often cited by papers focused on Logic, programming, and type systems (2 papers), Software Engineering Research (2 papers) and Formal Methods in Verification (2 papers). Ying Sheng collaborates with scholars based in United States, Israel and France. Ying Sheng's co-authors include Ion Stoica, Woosuk Kwon, Joseph E. Gonzalez, Siyuan Zhuang, Cody Hao Yu, L Zheng, Yoni Zohar, Andrew Reynolds, Shaz Qadeer and Pascal Fontaine and has published in prestigious journals such as Journal of Automated Reasoning.

In The Last Decade

Ying Sheng

4 papers receiving 294 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Efficient Memory Management for Large Language Model Serving with PagedAttention

2023 298 citations Woosuk Kwon, Siyuan Zhuang et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ying Sheng	152	69	50	48	40	6	303
Mary Campione	96 0.6×	90 1.3×	27 0.5×	81 1.7×	29 0.7×	9	264
Michał Podstawski	159 1.0×	110 1.6×	102 2.0×	115 2.4×	49 1.2×	6	338
Lluís-Miquel Munguía	83 0.5×	55 0.8×	66 1.3×	32 0.7×	33 0.8×	9	264
Graham A Stephen	155 1.0×	51 0.7×	75 1.5×	52 1.1×	59 1.5×	8	343
Philip London	193 1.3×	61 0.9×	13 0.3×	30 0.6×	26 0.7×	7	254
S. Cahon	168 1.1×	111 1.6×	14 0.3×	27 0.6×	23 0.6×	9	310
Qinkai Zheng	140 0.9×	60 0.9×	70 1.4×	132 2.8×	20 0.5×	7	349
Qi Wang	105 0.7×	118 1.7×	24 0.5×	94 2.0×	10 0.3×	4	241
Andrew Or	79 0.5×	231 3.3×	47 0.9×	145 3.0×	30 0.8×	7	299
Rodney Thayer	121 0.8×	113 1.6×	35 0.7×	74 1.5×	13 0.3×	7	249

Countries citing papers authored by Ying Sheng

Since Specialization

Citations

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

Fields of papers citing papers by Ying Sheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Sheng

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

All Works

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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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