Thu-Lan Dam

541 total citations
12 papers, 316 citations indexed

About

Thu-Lan Dam is a scholar working on Information Systems, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Thu-Lan Dam has authored 12 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 7 papers in Computational Theory and Mathematics and 6 papers in Signal Processing. Recurrent topics in Thu-Lan Dam's work include Rough Sets and Fuzzy Logic (7 papers), Data Mining Algorithms and Applications (7 papers) and Data Management and Algorithms (6 papers). Thu-Lan Dam is often cited by papers focused on Rough Sets and Fuzzy Logic (7 papers), Data Mining Algorithms and Applications (7 papers) and Data Management and Algorithms (6 papers). Thu-Lan Dam collaborates with scholars based in China, Norway and Vietnam. Thu-Lan Dam's co-authors include Quang-Huy Duong, Philippe Fournier‐Viger, Kenli Li, Kjetil Nørvåg, Heri Ramampiaro, Bo Liao, François Gagnon, Sean Chester, Jaroslav Frnda and Miroslav Vozňák and has published in prestigious journals such as IEEE Transactions on Communications, Knowledge-Based Systems and Soft Computing.

In The Last Decade

Thu-Lan Dam

12 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thu-Lan Dam China 8 275 212 164 97 30 12 316
Jieh-Shan Yeh Taiwan 7 269 1.0× 165 0.8× 168 1.0× 91 0.9× 18 0.6× 13 334
Azadeh Soltani Iran 3 231 0.8× 122 0.6× 156 1.0× 72 0.7× 14 0.5× 9 315
Yeong-Chyi Lee Taiwan 7 226 0.8× 186 0.9× 196 1.2× 35 0.4× 12 0.4× 7 290
Yu-Chiang Li Taiwan 9 238 0.9× 163 0.8× 184 1.1× 97 1.0× 17 0.6× 15 424
Aaron Ceglar Australia 5 168 0.6× 101 0.5× 101 0.6× 75 0.8× 6 0.2× 14 221
Ted Gueniche Canada 2 244 0.9× 136 0.6× 156 1.0× 81 0.8× 14 0.5× 2 305
Antonio Gomariz Spain 3 219 0.8× 117 0.6× 143 0.9× 70 0.7× 14 0.5× 4 281
Ricardo Corin Netherlands 14 250 0.9× 73 0.3× 277 1.7× 34 0.4× 17 0.6× 30 434
Jörg-Uwe Kietz Switzerland 8 149 0.5× 58 0.3× 310 1.9× 27 0.3× 2 0.1× 16 365
Adriano Peron Italy 10 40 0.1× 196 0.9× 206 1.3× 18 0.2× 3 0.1× 66 361

Countries citing papers authored by Thu-Lan Dam

Since Specialization
Citations

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

Fields of papers citing papers by Thu-Lan Dam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thu-Lan Dam. 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 Thu-Lan Dam. The network helps show where Thu-Lan Dam may publish in the future.

Co-authorship network of co-authors of Thu-Lan Dam

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

All Works

12 of 12 papers shown
1.
Duong, Quang-Huy, Heri Ramampiaro, Kjetil Nørvåg, & Thu-Lan Dam. (2021). Density Guarantee on Finding Multiple Subgraphs and Subtensors. ACM Transactions on Knowledge Discovery from Data. 15(5). 1–32. 1 indexed citations
2.
Dam, Thu-Lan, Sean Chester, Kjetil Nørvåg, & Quang-Huy Duong. (2020). Efficient top-k recently-frequent term querying over spatio-temporal textual streams. Information Systems. 97. 101687–101687. 6 indexed citations
3.
Fournier‐Viger, Philippe, Peng Yang, Jerry Chun‐Wei Lin, et al.. (2019). Discovering Periodic Itemsets Using Novel Periodicity Measures. Advances in Electrical and Electronic Engineering. 17(1). 3 indexed citations
4.
Dam, Thu-Lan, Heri Ramampiaro, Kjetil Nørvåg, & Quang-Huy Duong. (2018). Towards efficiently mining closed high utility itemsets from incremental databases. Knowledge-Based Systems. 165. 13–29. 21 indexed citations
5.
Duong, Quang-Huy, Heri Ramampiaro, Kjetil Nørvåg, Philippe Fournier‐Viger, & Thu-Lan Dam. (2018). High utility drift detection in quantitative data streams. Knowledge-Based Systems. 157. 34–51. 7 indexed citations
6.
Dam, Thu-Lan, Kenli Li, Philippe Fournier‐Viger, & Quang-Huy Duong. (2018). CLS-Miner: efficient and effective closed high-utility itemset mining. Frontiers of Computer Science. 13(2). 357–381. 49 indexed citations
7.
Duong, Quang-Huy, Philippe Fournier‐Viger, Heri Ramampiaro, Kjetil Nørvåg, & Thu-Lan Dam. (2017). Efficient high utility itemset mining using buffered utility-lists. Applied Intelligence. 48(7). 1859–1877. 81 indexed citations
8.
Dam, Thu-Lan, Kenli Li, Philippe Fournier‐Viger, & Quang-Huy Duong. (2017). An efficient algorithm for mining top-k on-shelf high utility itemsets. Knowledge and Information Systems. 52(3). 621–655. 24 indexed citations
9.
Dam, Thu-Lan, Kenli Li, & Philippe Fournier‐Viger. (2016). Chemical reaction optimization with unified tabu search for the vehicle routing problem. Soft Computing. 21(21). 6421–6433. 16 indexed citations
10.
Duong, Quang-Huy, Bo Liao, Philippe Fournier‐Viger, & Thu-Lan Dam. (2016). An efficient algorithm for mining the top- k high utility itemsets, using novel threshold raising and pruning strategies. Knowledge-Based Systems. 104. 106–122. 76 indexed citations
11.
Dam, Thu-Lan, Kenli Li, Philippe Fournier‐Viger, & Quang-Huy Duong. (2016). An efficient algorithm for mining top-rank-k frequent patterns. Applied Intelligence. 45(1). 96–111. 25 indexed citations
12.
Gagnon, François, et al.. (1995). Simplified designs for AAPP soft decision threshold decoders. IEEE Transactions on Communications. 43(2/3/4). 743–750. 7 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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