Hai Duong

542 total citations
27 papers, 316 citations indexed

About

Hai Duong is a scholar working on Information Systems, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Hai Duong has authored 27 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 24 papers in Computational Theory and Mathematics and 13 papers in Signal Processing. Recurrent topics in Hai Duong's work include Data Mining Algorithms and Applications (26 papers), Rough Sets and Fuzzy Logic (24 papers) and Data Management and Algorithms (12 papers). Hai Duong is often cited by papers focused on Data Mining Algorithms and Applications (26 papers), Rough Sets and Fuzzy Logic (24 papers) and Data Management and Algorithms (12 papers). Hai Duong collaborates with scholars based in Vietnam, China and South Korea. Hai Duong's co-authors include Tin Truong, Bac Le, Philippe Fournier‐Viger, Unil Yun, Bay Vo, Hamido Fujita and Tien Hoang and has published in prestigious journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based Systems.

In The Last Decade

Hai Duong

24 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hai Duong Vietnam	10	299	215	174	97	40	27	316
Heonho Kim South Korea	14	353 1.2×	236 1.1×	249 1.4×	105 1.1×	49 1.2×	21	397
Quang-Huy Duong Norway	7	271 0.9×	208 1.0×	163 0.9×	99 1.0×	20 0.5×	12	299
Zhigang Zheng Australia	7	347 1.2×	234 1.1×	181 1.0×	131 1.4×	68 1.7×	7	385
Ferenc Bodon Hungary	5	215 0.7×	133 0.6×	143 0.8×	88 0.9×	38 0.9×	6	273
Robert J. Hilderman Canada	10	203 0.7×	103 0.5×	154 0.9×	101 1.0×	45 1.1×	26	286
Aaron Ceglar Australia	5	168 0.6×	101 0.5×	101 0.6×	75 0.8×	28 0.7×	14	221
Jieh-Shan Yeh Taiwan	7	269 0.9×	165 0.8×	168 1.0×	91 0.9×	20 0.5×	13	334
John D. Holt United States	5	195 0.7×	70 0.3×	207 1.2×	51 0.5×	11 0.3×	10	271
Philipp Rümmer Sweden	11	136 0.5×	188 0.9×	220 1.3×	29 0.3×	45 1.1×	48	368
Jenny Y. Chiang Canada	7	261 0.9×	132 0.6×	112 0.6×	174 1.8×	109 2.7×	9	346

Countries citing papers authored by Hai Duong

Since Specialization

Citations

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

Fields of papers citing papers by Hai Duong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai Duong. 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 Hai Duong. The network helps show where Hai Duong may publish in the future.

Co-authorship network of co-authors of Hai Duong

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Duong. A scholar is included among the top collaborators of Hai Duong 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 Hai Duong. Hai Duong 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

Duong, Hai, Tin Truong, Tien Hoang, & Bac Le. (2024). U-HPAUSM: Mining high probability average utility sequences in uncertain quantitative sequential databases. Engineering Applications of Artificial Intelligence. 141. 109742–109742.

Duong, Hai, Tin Truong, Bac Le, & Philippe Fournier‐Viger. (2024). Mining Interesting Sequential Patterns using a Novel Balanced Utility Measure. Knowledge-Based Systems. 294. 111796–111796. 7 indexed citations

Duong, Hai, et al.. (2023). Efficient mining of concise and informative representations of frequent high utility itemsets. Engineering Applications of Artificial Intelligence. 126. 107111–107111. 2 indexed citations

Duong, Hai, et al.. (2023). High Average-Utility Itemset Mining with A Novel Vertical Weak Upper Bound. 342–347.

Duong, Hai, et al.. (2022). Efficient algorithms for mining closed and maximal high utility itemsets. Knowledge-Based Systems. 257. 109921–109921. 15 indexed citations

Duong, Hai, et al.. (2021). GIÁ TRỊ SIÊU ÂM TRONG CHẨN ĐOÁN CHẤN THƯƠNG VÀ VẾT THƯƠNG BỤNG. Tạp chí Y học Việt Nam. 502(2).

Truong, Tin, Hai Duong, Bac Le, Philippe Fournier‐Viger, & Unil Yun. (2021). Mining interesting sequences with low average cost and high average utility. Applied Intelligence. 52(7). 7136–7157. 7 indexed citations

Duong, Hai, et al.. (2021). Mining High Utility Sequences with a Novel Utility Function. 1904. 1–6. 1 indexed citations

Truong, Tin, Hai Duong, Bac Le, et al.. (2021). Efficient algorithms for mining frequent high utility sequences with constraints. Information Sciences. 568. 239–264. 16 indexed citations

10.

Duong, Hai, et al.. (2019). HUPSMT: AN EFFICIENT ALGORITHM FOR MINING HIGH UTILITY-PROBABILITY SEQUENCES IN UNCERTAIN DATABASES WITH MULTIPLE MINIMUM UTILITY THRESHOLDS. Journal of Computer Science and Cybernetics. 35(1). 1–20. 7 indexed citations

11.

Truong, Tin, Hai Duong, Bac Le, Philippe Fournier‐Viger, & Unil Yun. (2019). Efficient high average-utility itemset mining using novel vertical weak upper-bounds. Knowledge-Based Systems. 183. 104847–104847. 41 indexed citations

12.

Truong, Tin, Hai Duong, Bac Le, & Philippe Fournier‐Viger. (2019). EHAUSM: An efficient algorithm for high average utility sequence mining. Information Sciences. 515. 302–323. 22 indexed citations

13.

Truong, Tin, Hai Duong, Bac Le, & Philippe Fournier‐Viger. (2018). Efficient Vertical Mining of High Average-Utility Itemsets Based on Novel Upper-Bounds. IEEE Transactions on Knowledge and Data Engineering. 31(2). 301–314. 50 indexed citations

14.

Duong, Hai, Tin Truong, & Bac Le. (2018). An Efficient Parallel Algorithm for Mining Both Frequent Closed and Generator Sequences on Multi-core Processors. 154–159. 1 indexed citations

15.

Duong, Hai, Tin Truong, & Bac Le. (2017). Efficient algorithms for simultaneously mining concise representations of sequential patterns based on extended pruning conditions. Engineering Applications of Artificial Intelligence. 67. 197–210. 7 indexed citations

16.

Duong, Hai, et al.. (2016). Structure of frequent itemsets with extended double constraints. Vietnam Journal of Computer Science. 3(2). 119–135. 4 indexed citations

17.

Duong, Hai & Tin Truong. (2014). An efficient method for mining association rules based on minimum single constraints. Vietnam Journal of Computer Science. 2(2). 67–83. 8 indexed citations

18.

Duong, Hai, Tin Truong, & Bay Vo. (2013). An efficient method for mining frequent itemsets with double constraints. Engineering Applications of Artificial Intelligence. 27. 148–154. 32 indexed citations

19.

Truong, Tin, et al.. (2012). Mining Association Rules Restricted on Constraint. e78 d. 1–6. 4 indexed citations

20.

Duong, Hai, et al.. (2011). Efficient Algorithms for Mining Frequent Itemsets with Constraint. 19–25. 14 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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