Xinyu Que

32 total papers · 484 total citations
17 papers, 276 citations indexed

About

Xinyu Que is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Xinyu Que has authored 17 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 10 papers in Hardware and Architecture and 6 papers in Information Systems. Recurrent topics in Xinyu Que's work include Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (7 papers) and Cloud Computing and Resource Management (6 papers). Xinyu Que is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (7 papers) and Cloud Computing and Resource Management (6 papers). Xinyu Que collaborates with scholars based in United States, Switzerland and China. Xinyu Que's co-authors include Fabrizio Petrini, Fabio Checconi, Weikuan Yu, John A. Gunnels, Yandong Wang, Yan‐Dong Wang, Xing Liu, Cong Xu, Prakash Murali and Yogish Sabharwal and has published in prestigious journals such as Computer, IEEE Transactions on Computers and Journal of Chemical Information and Modeling.

In The Last Decade

Xinyu Que

15 papers receiving 260 citations

Author Peers

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

Author						Papers	Cites
Xinyu Que	172	117	75	55	54	17	276
Kamer Kaya	86 0.5×	70 0.6×	97 1.3×	28 0.5×	70 1.3×	12	222
Mihai Capotă	176 1.0×	112 1.0×	91 1.2×	36 0.7×	109 2.0×	23	313
Weiren Yu	92 0.5×	79 0.7×	153 2.0×	35 0.6×	79 1.5×	18	319
Zhipeng Zeng	100 0.6×	141 1.2×	114 1.5×	60 1.1×	23 0.4×	16	287
Cécile Germain‐Renaud	139 0.8×	98 0.8×	118 1.6×	36 0.7×	15 0.3×	21	297
Tao Li	192 1.1×	151 1.3×	63 0.8×	103 1.9×	40 0.7×	11	313
Daniel Waddington	229 1.3×	62 0.5×	81 1.1×	82 1.5×	14 0.3×	32	304
Moriyoshi Ohara	175 1.0×	149 1.3×	63 0.8×	41 0.7×	58 1.1×	20	270
Erik M. Ferragut	127 0.7×	98 0.8×	129 1.7×	17 0.3×	26 0.5×	22	269
Yangyu Tao	111 0.6×	138 1.2×	172 2.3×	13 0.2×	68 1.3×	14	311

Countries citing papers authored by Xinyu Que

Since Specialization

Citations

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

Fields of papers citing papers by Xinyu Que

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyu Que

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyu Que. A scholar is included among the top collaborators of Xinyu Que 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 Xinyu Que. Xinyu Que 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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