Heungmo Ryang

993 total citations
21 papers, 778 citations indexed

About

Heungmo Ryang is a scholar working on Information Systems, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Heungmo Ryang has authored 21 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 15 papers in Computational Theory and Mathematics and 12 papers in Artificial Intelligence. Recurrent topics in Heungmo Ryang's work include Data Mining Algorithms and Applications (17 papers), Rough Sets and Fuzzy Logic (15 papers) and Imbalanced Data Classification Techniques (7 papers). Heungmo Ryang is often cited by papers focused on Data Mining Algorithms and Applications (17 papers), Rough Sets and Fuzzy Logic (15 papers) and Imbalanced Data Classification Techniques (7 papers). Heungmo Ryang collaborates with scholars based in South Korea, United States and Japan. Heungmo Ryang's co-authors include Unil Yun, Gangin Lee, Keun Ho Ryu, Hamido Fujita, Il Keun Kwon, Kyungmin Lee, Dong-Gyu Kim, Jiwon Kim, Eunchul Yoon and Chulhong Kim and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Heungmo Ryang

18 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heungmo Ryang South Korea 14 724 539 470 238 56 21 778
Guo-Cheng Lan Taiwan 15 663 0.9× 505 0.9× 357 0.8× 284 1.2× 57 1.0× 42 719
Gangin Lee South Korea 19 776 1.1× 542 1.0× 564 1.2× 266 1.1× 90 1.6× 29 880
Tin Truong Vietnam 15 606 0.8× 411 0.8× 375 0.8× 195 0.8× 77 1.4× 36 663
Bai En Shie Taiwan 6 912 1.3× 696 1.3× 477 1.0× 333 1.4× 71 1.3× 7 944
Karam Gouda Egypt 8 866 1.2× 620 1.2× 498 1.1× 371 1.6× 148 2.6× 20 1.0k
Hua-Fu Li Taiwan 13 511 0.7× 283 0.5× 336 0.7× 287 1.2× 141 2.5× 38 638
Manuel Calimlim United States 6 573 0.8× 404 0.7× 279 0.6× 231 1.0× 116 2.1× 8 652
Nicolas Pasquier France 8 740 1.0× 700 1.3× 396 0.8× 359 1.5× 109 1.9× 18 962
Rafik Taouil France 8 730 1.0× 709 1.3× 395 0.8× 365 1.5× 113 2.0× 11 935
Ching-Jui Hsiao Taiwan 4 462 0.6× 339 0.6× 214 0.5× 200 0.8× 88 1.6× 8 543

Countries citing papers authored by Heungmo Ryang

Since Specialization
Citations

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

Fields of papers citing papers by Heungmo Ryang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heungmo Ryang

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

All Works

20 of 20 papers shown
1.
Yun, Unil, Heungmo Ryang, Gangin Lee, & Hamido Fujita. (2017). An efficient algorithm for mining high utility patterns from incremental databases with one database scan. Knowledge-Based Systems. 124. 188–206. 77 indexed citations
2.
Yun, Unil, et al.. (2016). Android-Based Real-Time Calculation Game Design and Development. Advanced Science Letters. 22(9). 2386–2390. 1 indexed citations
3.
Ryang, Heungmo & Unil Yun. (2016). Indexed list-based high utility pattern mining with utility upper-bound reduction and pattern combination techniques. Knowledge and Information Systems. 51(2). 627–659. 52 indexed citations
4.
Yun, Unil, Heungmo Ryang, & Il Keun Kwon. (2016). Monitoring vehicle outliers based on clustering technique. Applied Soft Computing. 49. 845–860. 18 indexed citations
5.
Ryang, Heungmo & Unil Yun. (2016). High utility pattern mining over data streams with sliding window technique. Expert Systems with Applications. 57. 214–231. 85 indexed citations
6.
Lee, Gangin, Unil Yun, Heungmo Ryang, & Dong-Gyu Kim. (2016). Approximate Maximal Frequent Pattern Mining with Weight Conditions and Error Tolerance. International Journal of Pattern Recognition and Artificial Intelligence. 30(6). 1650012–1650012. 22 indexed citations
7.
Ryang, Heungmo & Unil Yun. (2016). Performance Analysis of Siding Window based Stream High Utility Pattern Mining Methods. Journal of Internet Computing and services. 17(6). 53–59.
8.
Yun, Unil, et al.. (2016). Mining recent high average utility patterns based on sliding window from stream data. Journal of Intelligent & Fuzzy Systems. 30(6). 3605–3617. 30 indexed citations
9.
Ryang, Heungmo, Unil Yun, & Keun Ho Ryu. (2016). Fast algorithm for high utility pattern mining with the sum of item quantities. Intelligent Data Analysis. 20(2). 395–415. 34 indexed citations
10.
Lee, Gangin, Unil Yun, & Heungmo Ryang. (2015). Mining weighted erasable patterns by using underestimated constraint-based pruning technique. Journal of Intelligent & Fuzzy Systems. 28(3). 1145–1157. 38 indexed citations
11.
Ryang, Heungmo, Unil Yun, & Chulhong Kim. (2015). Performance Analysis of Top-K High Utility Pattern Mining Methods. Journal of Internet Computing and services. 16(6). 89–95. 1 indexed citations
12.
13.
Lee, Gangin, Unil Yun, & Heungmo Ryang. (2015). An uncertainty-based approach: Frequent itemset mining from uncertain data with different item importance. Knowledge-Based Systems. 90. 239–256. 41 indexed citations
14.
Ryang, Heungmo, Unil Yun, & Keun Ho Ryu. (2014). Discovering high utility itemsets with multiple minimum supports. Intelligent Data Analysis. 18(6). 1027–1047. 42 indexed citations
15.
Ryang, Heungmo & Unil Yun. (2014). Top-k high utility pattern mining with effective threshold raising strategies. Knowledge-Based Systems. 76. 109–126. 96 indexed citations
16.
Ryang, Heungmo, et al.. (2014). Ranking algorithm for book reviews with user tendency and collective intelligence. Multimedia Tools and Applications. 74(16). 6209–6227. 4 indexed citations
17.
Yun, Unil & Heungmo Ryang. (2014). Incremental high utility pattern mining with static and dynamic databases. Applied Intelligence. 42(2). 323–352. 68 indexed citations
18.
Yun, Unil, Heungmo Ryang, & Keun Ho Ryu. (2013). High utility itemset mining with techniques for reducing overestimated utilities and pruning candidates. Expert Systems with Applications. 41(8). 3861–3878. 115 indexed citations
19.
Kim, Jiwon, Unil Yun, Heungmo Ryang, et al.. (2013). A blog ranking algorithm using analysis of both blog influence and characteristics of blog posts. Cluster Computing. 18(1). 157–164. 12 indexed citations
20.
Ryang, Heungmo & Unil Yun. (2013). Performance Analysis of Frequent Pattern Mining with Multiple Minimum Supports. Journal of Internet Computing and services. 14(6). 1–8. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Guo-Cheng Lan Breakdown of academic impact, for papers by Gangin Lee Breakdown of academic impact, for papers by Tin Truong Breakdown of academic impact, for papers by Bai En Shie Breakdown of academic impact, for papers by Karam Gouda Breakdown of academic impact, for papers by Hua-Fu Li Breakdown of academic impact, for papers by Manuel Calimlim Breakdown of academic impact, for papers by Nicolas Pasquier Breakdown of academic impact, for papers by Rafik Taouil Breakdown of academic impact, for papers by Ching-Jui Hsiao
Rankless by CCL
2026