Sau Dan Lee

26 total papers · 998 total citations
18 papers, 504 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 504 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, China and Germany. 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 464 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sau Dan Lee 247 244 201 129 123 18 504
Le Gruenwald 203 0.8× 110 0.5× 227 1.1× 100 0.8× 82 0.7× 24 455
Ada W. C. Fu 352 1.4× 168 0.7× 366 1.8× 86 0.7× 257 2.1× 16 596
Marc Boullé 140 0.6× 79 0.3× 326 1.6× 31 0.2× 85 0.7× 34 478
George Almpanidis 135 0.5× 80 0.3× 266 1.3× 49 0.4× 30 0.2× 14 600
Fabian Mörchen 222 0.9× 350 1.4× 248 1.2× 88 0.7× 109 0.9× 19 595
Igor V. Cadez 220 0.9× 174 0.7× 230 1.1× 67 0.5× 24 0.2× 12 493
Suhrid Balakrishnan 260 1.1× 200 0.8× 228 1.1× 57 0.4× 17 0.1× 18 551
Filip Železný 158 0.6× 55 0.2× 270 1.3× 50 0.4× 87 0.7× 48 578
Funda Ergün 74 0.3× 43 0.2× 282 1.4× 250 1.9× 252 2.0× 31 564
Martin Pfeifle 149 0.6× 296 1.2× 308 1.5× 101 0.8× 28 0.2× 29 546

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

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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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