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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Efficient approach of high average utility pattern mining with indexed list-based structure in dynamic environments
Hyeonmo Kim, Hanju Kim, Myungha Cho, et al.
Information Sciences (2023) Vol. 657, pp. 119924-119924
Closed Access | Times Cited: 18

Showing 18 citing articles:

Advanced incremental erasable pattern mining from the time-sensitive data stream
Hanju Kim, Myungha Cho, Hyoju Nam, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112001-112001
Closed Access | Times Cited: 7
Review of malicious code detection in data mining applications: challenges, algorithms, and future direction
Abdul Razaque, Gulnara Bektemyssova, Joon Yoo, et al.
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access
Efficient mining of closed high-utility itemsets in dynamic and incremental databases
Mahnaz Naderi Vlashejerdi, Negin Daneshpour
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110081-110081
Closed Access
Damped weighted erasable itemset mining with time sensitive dynamic environments
Hanju Kim, Myungha Cho, Seungwan Park, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Multi-level high utility-itemset hiding
Loan T. T. Nguyen, Huong-Lam Duong, An Mai, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0317427-e0317427
Open Access
An efficient algorithm for fast discovery of high-efficiency patterns
Irfan Yildirim
Knowledge-Based Systems (2025), pp. 113157-113157
Closed Access
Efficient Fuzzy-based High Utility Pattern Computing and Analyzing Approach with Temporal Properties
Unil Yun, Hyeonmo Kim, Hanju Kim, et al.
Applied Soft Computing (2025), pp. 112902-112902
Closed Access
Efficient mining top-k high utility itemsets in incremental databases based on threshold raising strategies and pre-large concept
N. T. Tung, Loan T. T. Nguyen, Trinh D. D. Nguyen, et al.
Knowledge-Based Systems (2025), pp. 113273-113273
Closed Access
An efficient method for mining top-k multi-level high utility itemsets
Loan T. T. Nguyen, Loan T. T. Nguyen, Bay Vo
Knowledge-Based Systems (2025), pp. 113359-113359
Closed Access
A review of meta-heuristic high utility patterns mining methods
Meng Han, Wenyan Yang, Zhenlong Dai, et al.
Knowledge and Information Systems (2025)
Closed Access
Temporal fuzzy utility-based data analysis on data streams
Hanju Kim, Myungha Cho, Seungwan Park, et al.
Expert Systems with Applications (2025), pp. 127836-127836
Closed Access
Mining Interesting Sequential Patterns using a Novel Balanced Utility Measure
Hai Duong, Tin Truong, Bac Le, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111796-111796
Closed Access | Times Cited: 3
Incremental high average-utility itemset mining: survey and challenges
Jing Chen, Shengyi Yang, Weiping Ding, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Regularity-driven pattern extraction and analysis approach by the pre-pruning technique without pattern loss
Heonho Kim, Hanju Kim, Myungha Cho, et al.
Future Generation Computer Systems (2024), pp. 107670-107670
Closed Access | Times Cited: 1
Incremental mining algorithms for generating and updating frequent patterns for dynamic databases against insert, update, and support changes
Sivaiah Borra, R. Rajeswara Rao
International Journal of Data Science and Analytics (2024)
Closed Access
High Average-Utility Pattern Mining Based on Genetic Algorithm with a Novel Pruning Strategy
Qiao Chen, Wei Fang
Lecture notes in computer science (2024), pp. 3-13
Closed Access
High utility itemset mining in data stream using elephant herding optimization
Meng Han, Feifei He, Ruihua Zhang, et al.
Knowledge and Information Systems (2024)
Closed Access
Enabling knowledge discovery through low utility itemset mining
Xiaojie Zhang, Guoting Chen, Linqi Song, et al.
Expert Systems with Applications (2024), pp. 125955-125955
Closed Access
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