S.Y.W. Su

863 citations
49 papers · 496 · h-index 12

Impact in

Papers in

S.Y.W. Su

42 papers receiving 446 citations

Peers

S.Y.W. Su
Comparison fields: 5 of 47
  • Signal Processing 159
  • Computer Networks and Communications 311
  • Management Information Systems 112
  • Information Systems 179
  • Artificial Intelligence 242
Replace Dennis R. McCarthy with:
Dennis R. McCarthy United States
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Fred J. Maryanski United States
Andreas Geppert Switzerland
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Rafael Corchuelo Spain
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S.Y.W. Su relative to Dennis R. McCarthy United States Dennis R. McCarthy's profile →
Citations per field
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Citations per year

Countries citing papers authored by S.Y.W. Su

Since Specialization
Citations

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

Fields of papers citing papers by S.Y.W. Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.Y.W. Su. 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 S.Y.W. Su. The network helps show where S.Y.W. Su may publish in the future.

Co-authors

The 25 scholars most cited alongside S.Y.W. Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S.Y.W. Su Line = papers co-authored together S.Y.W. Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
OQL: a query language for manipulating object-oriented databases
1989101
2 200356
3
Proceedings of the 5th International Conference on Web Information Systems Engineering (WISE 2004)
200437
4 199136
5 199333
6 200520
7 199817
8 200416
9 197614
10 197612
11 197912
12 200311
13 199510
14 19889
15 20029
16
GTOOLS: an active GUI toolset for an object-oriented KBMS
19928
17 19888
18 20007
19 19977
20 20027

About S.Y.W. Su

S.Y.W. Su is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Management Information Systems, having authored 49 papers that have together received 496 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (27 papers), Data Management and Algorithms (19 papers), Semantic Web and Ontologies (14 papers), Service-Oriented Architecture and Web Services (13 papers), Business Process Modeling and Analysis (8 papers), Distributed systems and fault tolerance (7 papers), Parallel Computing and Optimization Techniques (6 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Signal Processing (159 citations), Computer Networks and Communications (311 citations), Management Information Systems (112 citations), Information Systems (179 citations) and Artificial Intelligence (242 citations). S.Y.W. Su has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Herman Lam, Jie Meng, Sumi Helal, Ho-Pun Lam, R. Newman-Wolfe, J. Hammer, Xiaomei Zhou, Keith Jeffery, Maria E. Orłowska and M. Papazoglou. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering, Journal of Parallel and Distributed Computing, IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Communications.

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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