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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:

Mining actionable behavioral rules
Su Peng, Wenji Mao, Daniel Zeng, et al.
Decision Support Systems (2012) Vol. 54, Iss. 1, pp. 142-152
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Actionable strategies in three-way decisions
Cong Gao, Yiyu Yao
Knowledge-Based Systems (2017) Vol. 133, pp. 141-155
Closed Access | Times Cited: 47
CBC: An associative classifier with a small number of rules
Houtao Deng, George C. Runger, Eugene Tuv, et al.
Decision Support Systems (2013) Vol. 59, pp. 163-170
Closed Access | Times Cited: 34
Computational techniques to counter terrorism: a systematic survey
Jaspal Kaur Saini, Divya Bansal
Multimedia Tools and Applications (2023) Vol. 83, Iss. 1, pp. 1189-1214
Closed Access | Times Cited: 5
A New Approach for Resolving Conflicts in Actionable Behavioral Rules
Peng Su, Dan Zhu, Daniel Zeng
The Scientific World JOURNAL (2014) Vol. 2014, pp. 1-9
Open Access | Times Cited: 12
Mining stable patterns in multiple correlated databases
Yaojin Lin, Xuegang Hu, Xiaomei Li, et al.
Decision Support Systems (2013) Vol. 56, pp. 202-210
Closed Access | Times Cited: 11
Action extraction from social networks
Nasrin Kalanat, Eynollah Khanjari
Journal of Intelligent Information Systems (2019) Vol. 54, Iss. 2, pp. 317-339
Closed Access | Times Cited: 11
An observation-weighting method for mining actionable behavioral rules
Peng Su, Lei Wang, Daniel Zeng, et al.
(2015)
Closed Access | Times Cited: 7
An overview of actionable knowledge discovery techniques
Nasrin Kalanat
Journal of Intelligent Information Systems (2021) Vol. 58, Iss. 3, pp. 591-611
Closed Access | Times Cited: 7
Mining Actionable Behavioral Rules Based on Decision Tree Classifier
Peng Su, Jian Yang, Zhenpeng Li, et al.
(2017), pp. 139-143
Closed Access | Times Cited: 7
Extracting actionable knowledge from social networks with node attributes
Nasrin Kalanat, Eynollah Khanjari
Expert Systems with Applications (2020) Vol. 152, pp. 113382-113382
Closed Access | Times Cited: 7
Analyzing Behavior of ISIS and Al-Qaeda using Association Rule Mining
Tamanna Goyal, Jaspal Kaur Saini, Divya Bansal
Lecture notes in networks and systems (2018), pp. 669-675
Closed Access | Times Cited: 4
Power-function-based observation-weighting method for mining actionable behavioral rules
Peng Su, Wenji Mao
(2015), pp. 188-188
Closed Access | Times Cited: 3
A Random-function-based Observation-weighting Method for Mining Actionable Behavioral Rules
Yuan Liu
(2024), pp. 362-366
Closed Access
Transforming knowledge-sharing intentions into behaviour: the role of ambidextrous knowledge-sharing activities on mobile platforms
Chun-Yi Lu, Mavis Yi-Ching Chen, Hsing‐Er Lin
Knowledge Management Research & Practice (2024), pp. 1-17
Closed Access
Improving B2B customer churn through action rule mining
Emil Guliyev, Juliana Sanchez Ramirez, Arno De Caigny, et al.
Industrial Marketing Management (2024) Vol. 125, pp. 1-11
Closed Access
Mining Spatio-Temporal Semantic Trajectory for Groups Identification
Yang Cao, Yunfei Si, Zhi Cai, et al.
2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (2018), pp. 308-313
Closed Access | Times Cited: 3
A Unified Statistical Framework for Evaluating Predictive Methods
Patrick Urbanke, Johann Kranz, Lutz M. Kolbe
International Conference on Information Systems (2014)
Closed Access | Times Cited: 2
Actionable knowledge discovery from social networks using causal structures of structural features
Nasrin Kalanat, Alireza Khanshan, Eynollah Khanjari
Journal of Intelligent & Fuzzy Systems (2020) Vol. 39, Iss. 1, pp. 489-501
Closed Access | Times Cited: 2
An Empirical Study of Observation-weighting Method for Mining Actionable Behavioral Rules
Peng Su, Yufeng Wang
Journal of Physics Conference Series (2020) Vol. 1550, Iss. 3, pp. 032169-032169
Open Access | Times Cited: 2
Predictive User Modeling with Actionable Attributes
Indrė Žliobaitė, Mykola Pechenizkiy
arXiv (Cornell University) (2013)
Open Access | Times Cited: 1
A new pruning method for resolving conflicts in actionable behavioral rules
Peng Su, Dan Zhu, Daniel Zeng
(2013), pp. 274-274
Closed Access | Times Cited: 1
Actionable Strategies in Three-Way Decisions with Rough Sets
Cong Gao, Yiyu Yao
Lecture notes in computer science (2017), pp. 183-199
Closed Access | Times Cited: 1
WITHDRAWN: Extracting actionable knowledge from social networks with node attributes
Nasrin Kalanat, Eynollah Khanjari
Expert Systems with Applications X (2019) Vol. 3, pp. 100013-100013
Open Access | Times Cited: 1
What can be improved? Identifying actionable items from patient narratives
Lili Shang, Meiyun Zuo
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020), pp. 1119-1123
Closed Access | Times Cited: 1
Handling numeric behavioral attributes in actionable behavioral rules mining
Peng Su, Jian Yang, Zhenpeng Li, et al.
(2016), pp. 178-183
Closed Access
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