Nan C. Shu

610 total citations
16 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 16 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, Zhengxuan Jiang, Shengping Hou, Zhi Zhang, Ruonan Li, Xianyang Liu and Qi 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

Peers

Nan C. Shu

CNC

AI

IS

SP

CVPR

Robert Duisberg United States

P.S. Yu United States

David S. Kosbie United States

David Umphress United States

Tsung‐Hsiang Chang United States

Joshua Bloch United States

Brad Vander Zanden United States

Andrew Mickish United States

Warren Teitelman United States

Larry Koved United States

Robert Duisberg United States

Nan C. Shu

129 ×0.7

CNC

122 ×1.0

AI

61 ×0.6

IS

35 ×0.5

SP

105 ×1.6

CVPR

Citations per year, relative to Nan C. Shu Nan C. Shu (= 1×) peers Robert Duisberg

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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16 of 16 papers shown

1.

Lei, Li, et al.. (2025). Comparison of binocular visual function among patients with different types of anisometropia. PubMed. 5(3). 182–188.

2.

Shu, Nan C., Zhi Zhang, Xiaotang Wang, et al.. (2023). Apigenin Alleviates Autoimmune Uveitis by Inhibiting Microglia M1 Pro-Inflammatory Polarization. Investigative Ophthalmology & Visual Science. 64(5). 21–21. 23 indexed citations

3.

Wang, Xuemin, Wei Fan, Qi Zhang, et al.. (2022). SOX2‐positive retinal stem cells are identified in adult human pars plicata by single‐cell transcriptomic analyses. SHILAP Revista de lepidopterología. 4(1). e198–e198. 3 indexed citations

4.

Shu, Nan C., et al.. (2014). Complete sequence of an esophageal carcinoma inbred Sprague-Dawley rat model mitochondrial genome. Mitochondrial DNA Part A. 27(3). 1604–1605. 2 indexed citations

5.

Shu, Nan C.. (1988). Visual programming. 215 indexed citations

6.

Shu, Nan C.. (1987). Automatic data transformation and restructuring. 173–180. 6 indexed citations

7.

Shu, Nan C., Harry K. T. Wong, & Vincent Y. Lum. (1983). Forms approach to requirements specification for database design. ACM SIGMOD Record. 13(4). 161–172. 1 indexed citations

8.

Shu, Nan C., Harry K. T. Wong, & Vincent Y. Lum. (1983). Forms approach to requirements specification for database design. 161–161. 9 indexed citations

9.

Shu, Nan C.. (1976). An Approach to Data Migration in Computer Networks.. 197. 3 indexed citations

10.

Housel, Barron C., Vincent Y. Lum, & Nan C. Shu. (1976). Architecture to an interactive migration system (AIMS). 157–169. 18 indexed citations

11.

Housel, Barron C. & Nan C. Shu. (1976). A high-level data manipulation language for hierarchical data structures. 155–169. 18 indexed citations

12.

Housel, Barron C. & Nan C. Shu. (1976). A high-level data manipulation language for hierarchical data structures. ACM SIGMOD Record. 8(2). 155–169. 1 indexed citations

13.

Shu, Nan C., Barron C. Housel, & Vincent Y. Lum. (1975). CONVERT: A High Level Translation Definition Language for Data Conversion (Abstract).. International Conference on Management of Data. 111. 3 indexed citations

14.

Shu, Nan C., Barron C. Housel, & Vincent Y. Lum. (1975). CONVERT. Communications of the ACM. 18(10). 557–567. 75 indexed citations

15.

Shu, Nan C., Barron C. Housel, & Vincent Y. Lum. (1975). CONVERT. 111–111. 2 indexed citations

16.

Housel, Barron C., Diane C. P. Smith, Nan C. Shu, & Vincent Y. Lum. (1975). DEFINE: A Non-Procedural Data Description Language for Defining Information Easily.. 62–70. 10 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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