Kian Win Ong

593 citations
18 papers · 337 indexed · h-index 9

Kian Win Ong

17 papers receiving 320 citations

Peers

Kian Win Ong
Comparison fields: 5 of 34
  • Signal Processing 153
  • Computer Networks and Communications 261
  • Information Systems 125
  • Artificial Intelligence 139
  • Software 12
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Countries citing papers authored by Kian Win Ong

Since Specialization
Citations

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

Fields of papers citing papers by Kian Win Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kian Win Ong. 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 Kian Win Ong. The network helps show where Kian Win Ong may publish in the future.

Co-authorship network

The 22 scholars most cited alongside Kian Win Ong, 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 Kian Win Ong Line = papers co-authored together Kian Win Ong links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20240
2 201710
3 201788
4 20158
5
The SQL++ Semi-structured Data Model and Query Language: A Capabilities Survey of SQL-on-Hadoop, NoSQL and NewSQL Databases.
201429
6 20142
7
The SQL++ Unifying Semi-structured Query Language, and an Expressiveness Benchmark of SQL-on-Hadoop, NoSQL and NewSQL Databases
201423
8
Declarative Ajax Web Applications through SQL++ on a Unified Application State
20131
9
The SQL-based all-declarative FORWARD web application development framework.
20118
10 20106
11
Web application creation made easy: a sql-driven rapid development framework and a do-it-yourself platform
20103
12
Do-It-Yourself custom forms-driven workflow applications.
200910
13
FORWARD: Design Specification Techniques for Do-It-Yourself Application Platforms.
20092
14 20073
15 20051
16 20052
17 2003133
18 20038

About Kian Win Ong

Kian Win Ong is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 18 papers that have together received 337 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (8 papers), Web Applications and Data Management (5 papers), Semantic Web and Ontologies (5 papers), Service-Oriented Architecture and Web Services (3 papers), Web Data Mining and Analysis (3 papers), Cloud Computing and Resource Management (2 papers) and Mobile and Web Applications (2 papers). The work is most often cited by research in Signal Processing (153 citations), Computer Networks and Communications (261 citations) and Information Systems (125 citations). Kian Win Ong has collaborated with scholars based in United States, Hong Kong and Singapore. Frequent co-authors include Andrew Lim, Qun Chen, Yannis Papakonstantinou, Jonathan Mace, Yee Jiun Song, Kaushik Veeraraghavan, Kevin Zhao, Michalis Petropoulos, Alin Deutsch and Yannis Katsis. Their work appears in journals such as Proceedings of the VLDB Endowment, Data & Knowledge Engineering and arXiv (Cornell University).

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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