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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 sliding window-based high average-utility pattern mining with list structures
Chanhee Lee, Taewoong Ryu, Hyeonmo Kim, et al.
Knowledge-Based Systems (2022) Vol. 256, pp. 109702-109702
Closed Access | Times Cited: 23

Showing 23 citing articles:

Pre-large based high utility pattern mining for transaction insertions in incremental database
Hyeonmo Kim, Chanhee Lee, Taewoong Ryu, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110478-110478
Closed Access | Times Cited: 21
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: 16
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
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
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
The utility of hyperplane angle metric in detecting financial concept drift
ZhiPeng Jiang, Dengyi Zhang, Xiaolei Luo, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed 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
Mining Repetitive Negative Sequential Patterns With Gap Constraints
Yan Li, Zhulin Wang, Jing Liu, et al.
ACM Transactions on Knowledge Discovery from Data (2025)
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
RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining
Meng Geng, Youxi Wu, Yan Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 9, pp. 4874-4889
Closed Access | Times Cited: 7
An efficient strategy for mining high-efficiency itemsets in quantitative databases
Bao Huynh, N. T. Tung, Trinh D. D. Nguyen, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112035-112035
Closed Access | Times Cited: 2
Empirical model, capacity recovery-identification correction and machine learning co-driven Li-ion battery remaining useful life prediction
Zhigang Lv, Zhiwen Chen, Peng Wang, et al.
Journal of Energy Storage (2024) Vol. 103, pp. 114274-114274
Open Access | Times Cited: 2
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
Effective approaches for mining correlated and low-average-cost patterns
Xuan Liu, Genlang Chen, Shiting Wen, et al.
Knowledge-Based Systems (2024) Vol. 302, pp. 112376-112376
Closed Access | Times Cited: 1
Advanced approach for mining utility occupancy patterns in incremental environment
Myungha Cho, Hanju Kim, Seungwan Park, et al.
Knowledge-Based Systems (2024) Vol. 306, pp. 112713-112713
Closed 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
FCHM-stream: fast closed high utility itemsets mining over data streams
Muhang Li, Meng Han, Zhiqiang Chen, et al.
Knowledge and Information Systems (2023) Vol. 65, Iss. 6, pp. 2509-2539
Open Access | Times Cited: 3
A residual utility-based concept for high-utility itemset mining
Pushp Sra, Satish Chand
Knowledge and Information Systems (2023) Vol. 66, Iss. 1, pp. 211-235
Closed Access | Times Cited: 2
F-RFM-Miner: an efficient algorithm for mining fuzzy patterns using the recency-frequency-monetary model
Yanlin Qi, Fuyin Lai, Guoting Chen, et al.
Applied Intelligence (2023) Vol. 53, Iss. 22, pp. 27892-27911
Closed Access | Times Cited: 2
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 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
Mining Top-k High Average-Utility Sequential Patterns for Resource Transformation
Kai Cao, Yucong Duan
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12340-12340
Open Access | Times Cited: 1
Mining actionable combined high utility incremental and associated sequential patterns
Min Shi, Yongshun Gong, Tiantian Xu, et al.
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0283365-e0283365
Open Access
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