Nan C. Shu

23 total papers · 608 total citations
15 papers, 389 citations indexed

About

Nan C. Shu is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Nan C. Shu has authored 15 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 6 papers in Signal Processing and 3 papers in Information Systems. Recurrent topics in Nan C. Shu's work include Advanced Database Systems and Queries (9 papers), Data Management and Algorithms (6 papers) and Semantic Web and Ontologies (3 papers). Nan C. Shu is often cited by papers focused on Advanced Database Systems and Queries (9 papers), Data Management and Algorithms (6 papers) and Semantic Web and Ontologies (3 papers). Nan C. Shu collaborates with scholars based in United States and China. Nan C. Shu's co-authors include Barron C. Housel, Vincent Y. Lum, Diane C. P. Smith, Harry K. T. Wong, Wanqian Li, Liming Tao, Ruonan Li, Xianyang Liu, Zhengxuan Jiang and Zhi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Investigative Ophthalmology & Visual Science.

In The Last Decade

Nan C. Shu

15 papers receiving 326 citations

Author Peers

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

Author Last Decade Papers Cites
Nan C. Shu 176 128 109 71 64 15 389
Robert Duisberg 129 0.7× 122 1.0× 61 0.6× 35 0.5× 105 1.6× 9 385
Jiaping Gui 242 1.4× 96 0.8× 119 1.1× 89 1.3× 36 0.6× 19 407
Jeffrey Wong 164 0.9× 95 0.7× 256 2.3× 27 0.4× 67 1.0× 8 432
Allen L. Ambler 111 0.6× 178 1.4× 105 1.0× 30 0.4× 44 0.7× 34 380
Ernst A. Heinz 66 0.4× 132 1.0× 145 1.3× 18 0.3× 77 1.2× 21 380
Xianghang Mi 120 0.7× 141 1.1× 170 1.6× 114 1.6× 39 0.6× 17 332
Thomas Panas 88 0.5× 101 0.8× 265 2.4× 115 1.6× 99 1.5× 23 354
Dean Frederick Jerding 186 1.1× 179 1.4× 257 2.4× 44 0.6× 141 2.2× 12 422
Shaiful Chowdhury 198 1.1× 72 0.6× 214 2.0× 20 0.3× 25 0.4× 31 402
P.S. Yu 115 0.7× 254 2.0× 176 1.6× 47 0.7× 21 0.3× 14 435

Countries citing papers authored by Nan C. Shu

Since Specialization
Citations

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

Fields of papers citing papers by Nan C. Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan C. Shu. 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 Nan C. Shu. The network helps show where Nan C. Shu may publish in the future.

Co-authorship network of co-authors of Nan C. Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Nan C. Shu. A scholar is included among the top collaborators of Nan C. Shu 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 Nan C. Shu. Nan C. Shu 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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