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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:

Visual Drift Detection for Event Sequence Data of Business Processes
Anton Yeshchenko, Claudio Di Ciccio, Jan Mendling, et al.
IEEE Transactions on Visualization and Computer Graphics (2021) Vol. 28, Iss. 8, pp. 3050-3068
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

PM4Py: A process mining library for Python
Alessandro Berti, Sebastiaan van Zelst, Daniel Schuster
Software Impacts (2023) Vol. 17, pp. 100556-100556
Open Access | Times Cited: 47
Creating business value with process mining
Peyman Badakhshan, Bastian Wurm, Thomas Grisold, et al.
The Journal of Strategic Information Systems (2022) Vol. 31, Iss. 4, pp. 101745-101745
Closed Access | Times Cited: 45
Theorizing Process Dynamics with Directed Graphs: A Diachronic Analysis of Digital Trace Data
Brian T. Pentland, Emmanuelle Vaast, Julie Ryan Wolf
MIS Quarterly (2021) Vol. 45, Iss. 2, pp. 967-984
Closed Access | Times Cited: 40
First Insights into the Impact of Concept Drift on Process Complexity
Maxim Vidgof
Lecture notes in business information processing (2025), pp. 332-337
Closed Access
Time Drift Detection Method Based on Isolation Forest Algorithm
Xiaoyu Rong, Haiyan Zhao, Jian Cao, et al.
Communications in computer and information science (2025), pp. 104-118
Closed Access
Anchorage: Visual Analysis of Satisfaction in Customer Service Videos Via Anchor Events
Kam Kwai Wong, Xingbo Wang, Yong Wang, et al.
IEEE Transactions on Visualization and Computer Graphics (2023) Vol. 30, Iss. 7, pp. 4008-4022
Open Access | Times Cited: 11
Defining and visualizing process execution variants from partially ordered event data
Daniel Schuster, Francesca Zerbato, Sebastiaan J. van Zelst, et al.
Information Sciences (2023) Vol. 657, pp. 119958-119958
Open Access | Times Cited: 5
Revisiting the Transition Matrix-Based Concept Drift Approach: Improving the Detection Task Reliability Through Additional Experimentation
Antonio Carlos Meira Neto, Rafael Gaspar de Sousa, Marcelo Fantinato, et al.
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 1
Adaptive goal recognition using process mining techniques
Zihang Su, Artem Polyvyanyy, Nir Lipovetzky, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108189-108189
Open Access | Times Cited: 1
Looking for Change: A Computer Vision Approach for Concept Drift Detection in Process Mining
A. Kraus, Han van der Aa
Lecture notes in computer science (2024), pp. 273-290
Closed Access | Times Cited: 1
A review of AI and machine learning contribution in business process management (process enhancement and process improvement approaches)
Mostafa Abbasi, Rahnuma Islam Nishat, Corey Bond, et al.
Business Process Management Journal (2024)
Closed Access | Times Cited: 1
Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality
Shahin Sharifi Noorian, Sihang Qiu, Burcu Sayin, et al.
(2023), pp. 650-663
Open Access | Times Cited: 4
Measuring the interestingness of temporal logic behavioral specifications in process mining
Alessio Cecconi, Giuseppe De Giacomo, Claudio Di Ciccio, et al.
Information Systems (2021) Vol. 107, pp. 101920-101920
Open Access | Times Cited: 10
Interactive log-delta analysis using multi-range filtering
Maxim Vidgof, Djordje Djurica, Saimir Bala, et al.
Software & Systems Modeling (2021) Vol. 21, Iss. 3, pp. 847-868
Open Access | Times Cited: 6
Interactive Reweighting for Mitigating Label Quality Issues
Weikai Yang, Yukai Guo, Jing Wu, et al.
IEEE Transactions on Visualization and Computer Graphics (2023) Vol. 30, Iss. 3, pp. 1837-1852
Open Access | Times Cited: 2
Event Data and Process Model Forecasting
Zhou Wenjun, Artem Polyvyanyy, James E. Bailey
Lecture notes in business information processing (2024), pp. 3-10
Closed Access
Process Variant Analysis Across Continuous Features: A Novel Framework
Ali Norouzifar, Majid Rafiei, Marcus Dees, et al.
Lecture notes in business information processing (2024), pp. 129-142
Closed Access
Leveraging Digital Trace Data to Investigate and Support Human-Centered Work Processes
Barbara Weber, Amine Abbad Andaloussi, Marco Franceschetti, et al.
Communications in computer and information science (2024), pp. 1-23
Closed Access
MDD: Process Drift Detection in Event Logs Integrating Multiple Perspectives
Yunuo Cao, Leilei Lin, Di Ying, et al.
(2024) Vol. 2703, pp. 1125-1134
Closed Access
Detecting and Understanding Branching Frequency Changes in Process Models
Yang Lu, Qifan Chen, Simon Poon
Lecture notes in business information processing (2021), pp. 39-46
Closed Access | Times Cited: 4
Handling Sudden and Recurrent Changes in Business Process Variability: Change Mining based Approach
Asmae Hmami, Hanae Sbaï, Mounia Fredj
International Journal of Advanced Computer Science and Applications (2021) Vol. 12, Iss. 4
Open Access | Times Cited: 4
Process Model Forecasting Using Time Series Analysis of Event Sequence Data
Johannes De Smedt, Anton Yeshchenko, Artem Polyvyanyy, et al.
Lecture notes in computer science (2021), pp. 47-61
Closed Access | Times Cited: 4
Process Drift Detection in Event Logs with Graph Convolutional Networks
Leilei Lin, Yumeng Jin, Lijie Wen, et al.
Lecture notes in computer science (2023), pp. 380-396
Closed Access | Times Cited: 1
An Intelligent Edge Dual-Structure Ensemble Method for Data Stream Detection and Releasing
Jiangjiang Zhang, Bei Gong, Qian Wang, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 1, pp. 863-879
Closed Access | Times Cited: 1
Dynamic Big Data Drift Visualization of CPU and Memory Resource Usage in Cloud Computing
Tajwar Mehmood, Seemab Latif
IFIP advances in information and communication technology (2022), pp. 27-36
Closed Access | Times Cited: 2
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