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:
A Survey on Concept Drift in Process Mining
Denise Maria Vecino Sato, Sheila Cristiana de Freitas, Jean Paul Barddal, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 9, pp. 1-38
Open Access | Times Cited: 73
Denise Maria Vecino Sato, Sheila Cristiana de Freitas, Jean Paul Barddal, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 9, pp. 1-38
Open Access | Times Cited: 73
Showing 1-25 of 73 citing articles:
A literature review of fault diagnosis based on ensemble learning
Zhibao Mian, Xiaofei Deng, Xiaohui Dong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107357-107357
Open Access | Times Cited: 47
Zhibao Mian, Xiaofei Deng, Xiaohui Dong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107357-107357
Open Access | Times Cited: 47
Explainable concept drift in process mining
Jan Niklas Adams, Sebastiaan J. van Zelst, Thomas Rose, et al.
Information Systems (2023) Vol. 114, pp. 102177-102177
Closed Access | Times Cited: 28
Jan Niklas Adams, Sebastiaan J. van Zelst, Thomas Rose, et al.
Information Systems (2023) Vol. 114, pp. 102177-102177
Closed Access | Times Cited: 28
Cyber security and beyond: Detecting malware and concept drift in AI-based sensor data streams using statistical techniques
Muhammad Amin, Feras Al‐Obeidat, Abdallah Tubaishat, et al.
Computers & Electrical Engineering (2023) Vol. 108, pp. 108702-108702
Closed Access | Times Cited: 19
Muhammad Amin, Feras Al‐Obeidat, Abdallah Tubaishat, et al.
Computers & Electrical Engineering (2023) Vol. 108, pp. 108702-108702
Closed Access | Times Cited: 19
Concept drift handling: A domain adaptation perspective
Mahmood Karimian, Hamid Beigy
Expert Systems with Applications (2023) Vol. 224, pp. 119946-119946
Closed Access | Times Cited: 18
Mahmood Karimian, Hamid Beigy
Expert Systems with Applications (2023) Vol. 224, pp. 119946-119946
Closed Access | Times Cited: 18
Dynamic feature selection model for adaptive cross site scripting attack detection using developed multi-agent deep Q learning model
Isam Kareem Thajeel, Khairulmizam Samsudin, Shaiful Jahari Hashim, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 6, pp. 101490-101490
Open Access | Times Cited: 17
Isam Kareem Thajeel, Khairulmizam Samsudin, Shaiful Jahari Hashim, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 6, pp. 101490-101490
Open Access | Times Cited: 17
Detecting Process Duration Drift Using Gamma Mixture Models in a Left-Truncated and Right-Censored Environment
Lingkai Yang, Sally McClean, Mark Donnelly, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 8, pp. 1-24
Open Access | Times Cited: 5
Lingkai Yang, Sally McClean, Mark Donnelly, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 8, pp. 1-24
Open Access | Times Cited: 5
Forging the LongSWORD: Exaptation and Enhancement of the SWORD Framework for Workaround Detection
Bernd Löhr, Christian Bartelheimer, Frank Köhne, et al.
Lecture notes in business information processing (2025), pp. 319-331
Closed Access
Bernd Löhr, Christian Bartelheimer, Frank Köhne, et al.
Lecture notes in business information processing (2025), pp. 319-331
Closed Access
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
Maxim Vidgof
Lecture notes in business information processing (2025), pp. 332-337
Closed Access
Modelling process durations with gamma mixtures for right-censored data: Applications in customer clustering, pattern recognition, drift detection, and rationalisation
Lingkai Yang, Sally McClean, Kevin Burke, et al.
Data & Knowledge Engineering (2025), pp. 102430-102430
Closed Access
Lingkai Yang, Sally McClean, Kevin Burke, et al.
Data & Knowledge Engineering (2025), pp. 102430-102430
Closed Access
A Storage and Classification Algorithm for Concept Drift Data Streams Based on OS-ELM
Ying Mei, Chengbo Lu, Chenghao Tang, et al.
Journal of Classification (2025)
Closed Access
Ying Mei, Chengbo Lu, Chenghao Tang, et al.
Journal of Classification (2025)
Closed Access
Concept drift and trace clustering: insights for managers from mining
Nikoo Ghourchian, Elham Akhondzadeh Noughabi
Management Decision (2025)
Closed Access
Nikoo Ghourchian, Elham Akhondzadeh Noughabi
Management Decision (2025)
Closed Access
Gradual Drift Detection in Process Models Using Conformance Metrics
Víctor Gallego-Fontenla, Pedro Gamallo-Fernandez, Juan C. Vidal, et al.
ACM Transactions on Knowledge Discovery from Data (2025)
Open Access
Víctor Gallego-Fontenla, Pedro Gamallo-Fernandez, Juan C. Vidal, et al.
ACM Transactions on Knowledge Discovery from Data (2025)
Open Access
Heterogeneous Event Matching Based on Event Structures
Xuewei Zhang, Deshuai Han, Zhiyuan Gao, et al.
Lecture notes in electrical engineering (2025), pp. 149-161
Closed Access
Xuewei Zhang, Deshuai Han, Zhiyuan Gao, et al.
Lecture notes in electrical engineering (2025), pp. 149-161
Closed Access
Explaining process dynamics: a Process Mining Context Taxonomy for sense-making
Sandro Franzoi, Sophie Hartl, Thomas Grisold, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Sandro Franzoi, Sophie Hartl, Thomas Grisold, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
A survey on the application of process discovery techniques to smart spaces data
Yannis Bertrand, Bram Van den Abbeele, Silvestro Veneruso, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106748-106748
Open Access | Times Cited: 10
Yannis Bertrand, Bram Van den Abbeele, Silvestro Veneruso, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106748-106748
Open Access | Times Cited: 10
Robotic process automation using process mining — A systematic literature review
Najah Mary El-Gharib, Daniel Amyot
Data & Knowledge Engineering (2023) Vol. 148, pp. 102229-102229
Open Access | Times Cited: 10
Najah Mary El-Gharib, Daniel Amyot
Data & Knowledge Engineering (2023) Vol. 148, pp. 102229-102229
Open Access | Times Cited: 10
Tuning Machine Learning to Address Process Mining Requirements
Paolo Ceravolo, Sylvio Barbon, Ernesto Damiani, et al.
IEEE Access (2024) Vol. 12, pp. 24583-24595
Open Access | Times Cited: 3
Paolo Ceravolo, Sylvio Barbon, Ernesto Damiani, et al.
IEEE Access (2024) Vol. 12, pp. 24583-24595
Open Access | Times Cited: 3
User journey games: automating user-centric analysis
Paul Kobialka, Silvia Lizeth Tapia Tarifa, Gunnar R. Bergersen, et al.
Software & Systems Modeling (2024) Vol. 23, Iss. 3, pp. 605-624
Open Access | Times Cited: 3
Paul Kobialka, Silvia Lizeth Tapia Tarifa, Gunnar R. Bergersen, et al.
Software & Systems Modeling (2024) Vol. 23, Iss. 3, pp. 605-624
Open Access | Times Cited: 3
Predictive Business Process Monitoring Approach Based on Hierarchical Transformer
Weijian Ni, Gang Zhao, Tong Liu, et al.
Electronics (2023) Vol. 12, Iss. 6, pp. 1273-1273
Open Access | Times Cited: 7
Weijian Ni, Gang Zhao, Tong Liu, et al.
Electronics (2023) Vol. 12, Iss. 6, pp. 1273-1273
Open Access | Times Cited: 7
Leveraging machine learning for automatic topic discovery and forecasting of process mining research: A literature review
Gyunam Park, Minsu Cho, Jiyoon Lee
Expert Systems with Applications (2023) Vol. 239, pp. 122435-122435
Closed Access | Times Cited: 7
Gyunam Park, Minsu Cho, Jiyoon Lee
Expert Systems with Applications (2023) Vol. 239, pp. 122435-122435
Closed Access | Times Cited: 7
Improving Process Mining Maturity – From Intentions to Actions
Jonathan Brock, Katharina Brennig, Bernd Löhr, et al.
Business & Information Systems Engineering (2024) Vol. 66, Iss. 5, pp. 585-605
Open Access | Times Cited: 2
Jonathan Brock, Katharina Brennig, Bernd Löhr, et al.
Business & Information Systems Engineering (2024) Vol. 66, Iss. 5, pp. 585-605
Open Access | Times Cited: 2
TS-DM: A Time Segmentation-Based Data Stream Learning Method for Concept Drift Adaptation
Kun Wang, Jie Lü, Anjin Liu, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 10, pp. 6000-6011
Closed Access | Times Cited: 2
Kun Wang, Jie Lü, Anjin Liu, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 10, pp. 6000-6011
Closed Access | Times Cited: 2
The L2 convergence of stream data mining algorithms based on probabilistic neural networks
Danuta Rutkowska, Piotr Duda, Jinde Cao, et al.
Information Sciences (2023) Vol. 631, pp. 346-368
Closed Access | Times Cited: 6
Danuta Rutkowska, Piotr Duda, Jinde Cao, et al.
Information Sciences (2023) Vol. 631, pp. 346-368
Closed Access | Times Cited: 6
An Experimental Evaluation of Process Concept Drift Detection
Jan Niklas Adams, Cameron Pitsch, Tobias Brockhoff, et al.
Proceedings of the VLDB Endowment (2023) Vol. 16, Iss. 8, pp. 1856-1869
Closed Access | Times Cited: 5
Jan Niklas Adams, Cameron Pitsch, Tobias Brockhoff, et al.
Proceedings of the VLDB Endowment (2023) Vol. 16, Iss. 8, pp. 1856-1869
Closed 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
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
