Pak Chung Wong

2.7k total citations
79 papers, 1.8k citations indexed

About

Pak Chung Wong is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Pak Chung Wong has authored 79 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 17 papers in Statistical and Nonlinear Physics and 14 papers in Artificial Intelligence. Recurrent topics in Pak Chung Wong's work include Data Visualization and Analytics (45 papers), Complex Network Analysis Techniques (17 papers) and Data Management and Algorithms (10 papers). Pak Chung Wong is often cited by papers focused on Data Visualization and Analytics (45 papers), Complex Network Analysis Techniques (17 papers) and Data Management and Algorithms (10 papers). Pak Chung Wong collaborates with scholars based in United States, Taiwan and United Kingdom. Pak Chung Wong's co-authors include R. Daniel Bergeron, J. Joshua Thomas, H.P. Foote, Kwong‐Kwok Wong, Weiwei Cui, Huamin Qu, Hong Zhou, Xiaoming Li, Han‐Wei Shen and Paul Whitney and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Power Systems and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Pak Chung Wong

78 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pak Chung Wong United States	22	1.1k	511	400	264	224	79	1.8k
Alfred Inselberg Israel	14	1.4k 1.3×	770 1.5×	552 1.4×	140 0.5×	151 0.7×	46	2.3k
Kun He China	26	490 0.5×	1.3k 2.5×	277 0.7×	312 1.2×	165 0.7×	135	2.5k
Matthew O. Ward United States	27	2.0k 1.9×	929 1.8×	891 2.2×	157 0.6×	218 1.0×	99	2.7k
Wolfgang Aigner Austria	25	1.9k 1.7×	718 1.4×	730 1.8×	208 0.8×	181 0.8×	100	2.5k
James J. Thomas United States	11	988 0.9×	514 1.0×	244 0.6×	93 0.4×	189 0.8×	23	1.7k
Daniel Delling Germany	20	310 0.3×	359 0.7×	659 1.6×	543 2.1×	100 0.4×	55	1.9k
Hakan Ferhatosmanoğlu United States	21	423 0.4×	822 1.6×	584 1.5×	172 0.7×	425 1.9×	90	2.0k
Wei Lai Australia	16	628 0.6×	268 0.5×	215 0.5×	133 0.5×	307 1.4×	76	1.2k
Vladimir Estivill‐Castro Australia	19	244 0.2×	791 1.5×	298 0.7×	71 0.3×	299 1.3×	122	1.7k

Countries citing papers authored by Pak Chung Wong

Since Specialization

Citations

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

Fields of papers citing papers by Pak Chung Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pak Chung Wong. 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 Pak Chung Wong. The network helps show where Pak Chung Wong may publish in the future.

Co-authorship network of co-authors of Pak Chung Wong

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

All Works

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20 of 20 papers shown

Feo, John, et al.. (2011). A highly parallel implementation of k-means for multithreaded architecture. IEEE International Conference on High Performance Computing, Data, and Analytics. 33–39. 2 indexed citations

Wong, Pak Chung, et al.. (2011). Visualization and Data Analysis 2011. SPIE eBooks. 7868. 1 indexed citations

Wong, Pak Chung, et al.. (2011). A Space-Filling Visualization Technique for Multivariate Small-World Graphs. IEEE Transactions on Visualization and Computer Graphics. 18(5). 797–809. 14 indexed citations

Park, Jinah, Ming Hao, Pak Chung Wong, & Chaomei Chen. (2010). Visualization and Data Analysis 2010. 7530. 1 indexed citations

Ma, Jian, Yousu Chen, Zhenyu Huang, & Pak Chung Wong. (2010). Using state estimation residuals to detect abnormal SCADA data. 1–7. 4 indexed citations

Ma, Jian, et al.. (2010). Probabilistic vulnerability assessment based on power flow and voltage distribution. 1–8. 10 indexed citations

Wong, Pak Chung & Jim Thomas. (2009). Visual Analytics: Building a Vibrant and Resilient National Science. Information Visualization. 8(4). 302–308. 2 indexed citations

Huang, Zhenyu, Pak Chung Wong, Yousu Chen, et al.. (2008). Managing Complex Network Operation with Predictive Analytics. National Conference on Artificial Intelligence. 59–65. 11 indexed citations

Wong, Pak Chung, et al.. (2006). Graph Signatures for Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. 12(6). 1399–1413. 30 indexed citations

10.

Wong, Pak Chung, et al.. (2006). Generating Graphs for Visual Analytics through Interactive Sketching. IEEE Transactions on Visualization and Computer Graphics. 12(6). 1386–1398. 18 indexed citations

11.

Wong, Pak Chung, Beth Hetzler, Christian Posse, et al.. (2004). IN-SPIRE InfoVis 2004 Contest Entry. 216. 34 indexed citations

12.

Wong, Pak Chung, et al.. (2002). Dual multiresolution HyperSlice for multivariate data visualization. 74–75,. 5 indexed citations

13.

Andrews, Keith, Steven F. Roth, & Pak Chung Wong. (2001). IEEE Symposium on Information Visualization 2001 : INFOVIS 2001, 22-23 October, 2001, San Diego, California, USA. 3 indexed citations

14.

Wong, Pak Chung, et al.. (2000). Vector fields simplification — a case study of visualizing climate modeling and simulation data sets. IEEE Visualization. 485–488. 7 indexed citations

15.

Wong, Pak Chung. (1999). Visual data mining. IEEE Computer Graphics and Applications. 19(5). 20–21. 103 indexed citations

16.

Miller, Nancy E., Pak Chung Wong, Marcus E. Brewster, & H.P. Foote. (1998). TOPIC ISLANDS/sup TM/-a wavelet-based text visualization system. 189–196. 23 indexed citations

17.

Wong, Pak Chung & R. Daniel Bergeron. (1997). Multivariate visualization using metric scaling. IEEE Visualization. 111–118. 31 indexed citations

18.

Wong, Pak Chung. (1997). Adaptive multiresolution visualization of large multidimensional multivariate scientific datasets. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 1 indexed citations

19.

Wong, Pak Chung & R. Daniel Bergeron. (1996). Multiresolution multidimensional wavelet brushing. IEEE Visualization. 25(11). 141–148. 48 indexed citations

20.

Wong, Pak Chung & R. Daniel Bergeron. (1995). Authenticity analysis of wavelet approximations in visualization. IEEE Visualization. 184–191. 12 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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