Kee Siong Ng

704 total citations
16 papers, 322 citations indexed

About

Kee Siong Ng is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Kee Siong Ng has authored 16 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Signal Processing. Recurrent topics in Kee Siong Ng's work include Logic, Reasoning, and Knowledge (4 papers), Bayesian Modeling and Causal Inference (3 papers) and AI-based Problem Solving and Planning (3 papers). Kee Siong Ng is often cited by papers focused on Logic, Reasoning, and Knowledge (4 papers), Bayesian Modeling and Causal Inference (3 papers) and AI-based Problem Solving and Planning (3 papers). Kee Siong Ng collaborates with scholars based in Australia, Canada and Singapore. Kee Siong Ng's co-authors include Kun Li, Joseph M. Hellerstein, Daisy Zhe Wang, Florian Schoppmann, Arun Kumar, John W. Lloyd, Marcus Hütter, Joel Veness, Michael Bowling and William Uther and has published in prestigious journals such as ACM Computing Surveys, Proceedings of the VLDB Endowment and Autonomous Agents and Multi-Agent Systems.

In The Last Decade

Kee Siong Ng

14 papers receiving 295 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kee Siong Ng Australia	8	192	124	104	87	60	16	322
Tim Mattson United States	7	99 0.5×	169 1.4×	96 0.9×	58 0.7×	79 1.3×	13	279
Oliver Kennedy United States	10	126 0.7×	266 2.1×	110 1.1×	149 1.7×	34 0.6×	37	366
Abdul Quamar United States	12	217 1.1×	211 1.7×	204 2.0×	71 0.8×	118 2.0×	25	440
Zoi Kaoudi Germany	11	141 0.7×	214 1.7×	122 1.2×	92 1.1×	72 1.2×	43	339
Rico Bergmann Germany	2	89 0.5×	225 1.8×	204 2.0×	47 0.5×	74 1.2×	3	330
Ravi Ramamurthy United States	13	244 1.3×	253 2.0×	261 2.5×	74 0.9×	23 0.4×	25	430
Matthias J. Sax Germany	6	105 0.5×	277 2.2×	239 2.3×	63 0.7×	78 1.3×	6	389
Alex Galakatos United States	10	152 0.8×	274 2.2×	158 1.5×	137 1.6×	153 2.5×	14	448
Andrew Crotty United States	10	156 0.8×	278 2.2×	163 1.6×	138 1.6×	154 2.6×	16	459
Jingde Cheng Japan	10	174 0.9×	169 1.4×	190 1.8×	55 0.6×	38 0.6×	113	447

Countries citing papers authored by Kee Siong Ng

Since Specialization

Citations

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

Fields of papers citing papers by Kee Siong Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kee Siong Ng. 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 Kee Siong Ng. The network helps show where Kee Siong Ng may publish in the future.

Co-authorship network of co-authors of Kee Siong Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Kee Siong Ng. A scholar is included among the top collaborators of Kee Siong Ng 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 Kee Siong Ng. Kee Siong Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Purcell, Michael, et al.. (2023). Private Graph Data Release: A Survey. ACM Computing Surveys. 55(11). 1–39. 10 indexed citations

Lyu, Lingjuan, Yee Wei Law, Kee Siong Ng, et al.. (2020). Towards Distributed Privacy-Preserving Prediction. ANU Open Research (Australian National University). 4179–4184. 7 indexed citations

Taylor, Kerry, et al.. (2019). Private Digital Identity on Blockchain.. ANU Open Research (Australian National University). 5 indexed citations

Zhang, Yuhang, et al.. (2018). Scalable Entity Resolution Using Probabilistic Signatures on Parallel Databases. ANU Open Research (Australian National University). 2213–2221. 2 indexed citations

Hütter, Marcus, John W. Lloyd, Kee Siong Ng, & William Uther. (2013). Probabilities on Sentences in an Expressive Logic. Journal of Applied Logic. 11(4). 386–420. 1 indexed citations

Veness, Joel, Kee Siong Ng, Marcus Hütter, & Michael Bowling. (2012). Context Tree Switching. ANU Open Research (Australian National University). 47. 327–336. 15 indexed citations

Hellerstein, Joseph M., Florian Schoppmann, Daisy Zhe Wang, et al.. (2012). The MADlib analytics library. Proceedings of the VLDB Endowment. 5(12). 1700–1711. 232 indexed citations

Veness, Joel, Kee Siong Ng, Marcus Hütter, & Michael Bowling. (2011). Context Tree Switching. arXiv (Cornell University).

Lloyd, John W. & Kee Siong Ng. (2010). Declarative programming for agent applications. Autonomous Agents and Multi-Agent Systems. 23(2). 224–272. 2 indexed citations

10.

Veness, Joel, Kee Siong Ng, Marcus Hütter, & David Silver. (2010). Reinforcement Learning via AIXI Approximation. Proceedings of the AAAI Conference on Artificial Intelligence. 24(1). 605–611. 8 indexed citations

11.

Ng, Kee Siong, et al.. (2010). Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia. 613–622. 12 indexed citations

12.

Ng, Kee Siong & John W. Lloyd. (2008). Probabilistic reasoning in a classical logic. Journal of Applied Logic. 7(2). 218–238. 3 indexed citations

13.

Ng, Kee Siong, John W. Lloyd, & William Uther. (2008). Probabilistic modelling, inference and learning using logical theories. Annals of Mathematics and Artificial Intelligence. 54(1-3). 159–205. 10 indexed citations

14.

Gray, Matt J., et al.. (2005). Personalisation for user agents. 603–610. 8 indexed citations

15.

Ng, Kee Siong. (2004). Alkemy: A Learning System based on an Expressive Knowledge Representation Formalism. 1 indexed citations

16.

Lloyd, John W., et al.. (2003). Symbolic Learning for Adaptive Agents. 6 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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