Sau Dan Lee

1.0k total citations
18 papers, 507 citations indexed

About

Sau Dan Lee is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Sau Dan Lee has authored 18 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 10 papers in Signal Processing and 5 papers in Computer Networks and Communications. Recurrent topics in Sau Dan Lee's work include Data Mining Algorithms and Applications (11 papers), Data Management and Algorithms (10 papers) and Advanced Database Systems and Queries (5 papers). Sau Dan Lee is often cited by papers focused on Data Mining Algorithms and Applications (11 papers), Data Management and Algorithms (10 papers) and Advanced Database Systems and Queries (5 papers). Sau Dan Lee collaborates with scholars based in Hong Kong, Germany and China. Sau Dan Lee's co-authors include Ben Kao, David W. Cheung, Reynold Cheng, David W. Cheung, Wai-Shing Ho, Jiangtao Ren, Liang Wang, Xuan Yang, Kevin Y. Yip and Eric Lo and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Knowledge and Data Engineering and BMC Genomics.

In The Last Decade

Sau Dan Lee

18 papers receiving 468 citations

Peers

Sau Dan Lee
Le Gruenwald United States
Christoph F. Eick United States
Jian Zhu China
Hannah Bast Germany
Sau Dan Lee
Citations per year, relative to Sau Dan Lee Sau Dan Lee (= 1×) peers Lihua Zhou

Countries citing papers authored by Sau Dan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sau Dan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sau Dan Lee. 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 Sau Dan Lee. The network helps show where Sau Dan Lee may publish in the future.

Co-authorship network of co-authors of Sau Dan Lee

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

All Works

18 of 18 papers shown
2.
Cao, Qin, et al.. (2014). VAS: a convenient web portal for efficient integration of genomic features with millions of genetic variants. BMC Genomics. 15(1). 886–886. 1 indexed citations
3.
Lee, Sau Dan, et al.. (2014). ECplot: an online tool for making standardized plots from large datasets for bioinformatics publications. Bioinformatics. 30(10). 1467–1468. 2 indexed citations
4.
Bernecker, Thomas, Reynold Cheng, David W. Cheung, et al.. (2012). Model-based probabilistic frequent itemset mining. Knowledge and Information Systems. 37(1). 181–217. 12 indexed citations
5.
Yip, Kevin Y., et al.. (2011). Mining Order-Preserving Submatrices from Data with Repeated Measurements. IEEE Transactions on Knowledge and Data Engineering. 25(7). 1587–1600. 5 indexed citations
6.
Wang, Liang, David W. Cheung, Reynold Cheng, Sau Dan Lee, & Xuan Yang. (2011). Efficient Mining of Frequent Item Sets on Large Uncertain Databases. IEEE Transactions on Knowledge and Data Engineering. 24(12). 2170–2183. 62 indexed citations
7.
Bi, Bin, Sau Dan Lee, Ben Kao, & Reynold Cheng. (2011). CubeLSI: An effective and efficient method for searching resources in social tagging systems. The HKU Scholars Hub (University of Hong Kong). 4011. 27–38. 10 indexed citations
8.
Kao, Ben, et al.. (2010). Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index. IEEE Transactions on Knowledge and Data Engineering. 22(9). 1219–1233. 60 indexed citations
9.
Wang, Liang, Reynold Cheng, Sau Dan Lee, & David W. Cheung. (2010). Accelerating probabilistic frequent itemset mining. The HKU Scholars Hub (University of Hong Kong). 429–438. 42 indexed citations
10.
Kao, Ben, Reynold Cheng, Michael Chau, et al.. (2010). Metric and trigonometric pruning for clustering of uncertain data in 2D geometric space. Information Systems. 36(2). 476–497. 10 indexed citations
11.
Ren, Jiangtao, et al.. (2009). Naive Bayes Classification of Uncertain Data. The HKU Scholars Hub (University of Hong Kong). 944–949. 135 indexed citations
12.
Lo, Eric, et al.. (2008). OLAP on sequence data. The HKU Scholars Hub (University of Hong Kong). 649–660. 50 indexed citations
13.
Kao, Ben, et al.. (2008). Mining Order-Preserving Submatrices from Data with Repeated Measurements. The HKU Scholars Hub (University of Hong Kong). 133–142. 8 indexed citations
14.
Kao, Ben, et al.. (2008). Clustering Uncertain Data Using Voronoi Diagrams. The HKU Scholars Hub (University of Hong Kong). 333–342. 47 indexed citations
15.
Raedt, Luc De, Martin Jaeger, Sau Dan Lee, & Heikki Mannila. (2003). A theory of inductive query answering. Lirias (KU Leuven). 123–130. 11 indexed citations
16.
Lee, Sau Dan & Luc De Raedt. (2002). Constraint based mining of first order sequences in SeqLog. 76–92. 2 indexed citations
17.
Cheung, David W., et al.. (2001). Towards the building of a dense-region-based OLAP system. Data & Knowledge Engineering. 36(1). 1–27. 10 indexed citations
18.
Lee, Sau Dan & David W. Cheung. (1997). Maintenance of Discovered Association Rules: When to update?. 0. 21 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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