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:
The impact of biased sampling of event logs on the performance of process discovery
Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Computing (2021) Vol. 103, Iss. 6, pp. 1085-1104
Open Access | Times Cited: 20
Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Computing (2021) Vol. 103, Iss. 6, pp. 1085-1104
Open Access | Times Cited: 20
Showing 20 citing articles:
Representative Sampling in Process Mining: Two Novel Sampling Algorithms for Event Logs
Frederik Fonger, Niclas Nebelung, Arvid Lepsien, et al.
Lecture notes in business information processing (2025), pp. 44-56
Open Access
Frederik Fonger, Niclas Nebelung, Arvid Lepsien, et al.
Lecture notes in business information processing (2025), pp. 44-56
Open Access
Performance-preserving event log sampling for predictive monitoring
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, et al.
Journal of Intelligent Information Systems (2023) Vol. 61, Iss. 1, pp. 53-82
Open Access | Times Cited: 8
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, et al.
Journal of Intelligent Information Systems (2023) Vol. 61, Iss. 1, pp. 53-82
Open Access | Times Cited: 8
Complex Process Modeling in Process Mining: A Systematic Review
Mohammad Imran, Maizatul Akmar Ismail, Suraya Hamid, et al.
IEEE Access (2022) Vol. 10, pp. 101515-101536
Open Access | Times Cited: 12
Mohammad Imran, Maizatul Akmar Ismail, Suraya Hamid, et al.
IEEE Access (2022) Vol. 10, pp. 101515-101536
Open Access | Times Cited: 12
PROMISE: Coupling predictive process mining to process discovery
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, et al.
Information Sciences (2022) Vol. 606, pp. 250-271
Closed Access | Times Cited: 9
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, et al.
Information Sciences (2022) Vol. 606, pp. 250-271
Closed Access | Times Cited: 9
Vnode: Low-Overhead Transparent Tracing of Node.js-Based Microservice Architectures
Herve Kabamba Mbikayi, Matthew Khouzam, Michel Dagenais
Future Internet (2023) Vol. 16, Iss. 1, pp. 13-13
Open Access | Times Cited: 5
Herve Kabamba Mbikayi, Matthew Khouzam, Michel Dagenais
Future Internet (2023) Vol. 16, Iss. 1, pp. 13-13
Open Access | Times Cited: 5
Event Log Sampling for Predictive Monitoring
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, et al.
Lecture notes in business information processing (2022), pp. 154-166
Open Access | Times Cited: 7
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, et al.
Lecture notes in business information processing (2022), pp. 154-166
Open Access | Times Cited: 7
Selecting Representative Sample Traces from Large Event Logs
Gaël Bernard, Periklis Andritsos
(2021), pp. 56-63
Closed Access | Times Cited: 9
Gaël Bernard, Periklis Andritsos
(2021), pp. 56-63
Closed Access | Times Cited: 9
Sampling What Matters: Relevance-guided Sampling of Event Logs
Martin Kabierski, Hoang Lam Nguyen, Lars Grunske, et al.
(2021), pp. 64-71
Closed Access | Times Cited: 6
Martin Kabierski, Hoang Lam Nguyen, Lars Grunske, et al.
(2021), pp. 64-71
Closed Access | Times Cited: 6
STARDUST: A Novel Process Mining Approach to Discover Evolving Models From Trace Streams
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, et al.
IEEE Transactions on Services Computing (2022) Vol. 16, Iss. 4, pp. 2970-2984
Closed Access | Times Cited: 4
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, et al.
IEEE Transactions on Services Computing (2022) Vol. 16, Iss. 4, pp. 2970-2984
Closed Access | Times Cited: 4
Discovery of effective infrequent sequences based on maximum probability path
Ke Lu, Xianwen Fang, Na Fang, et al.
Connection Science (2021) Vol. 34, Iss. 1, pp. 63-82
Open Access | Times Cited: 5
Ke Lu, Xianwen Fang, Na Fang, et al.
Connection Science (2021) Vol. 34, Iss. 1, pp. 63-82
Open Access | Times Cited: 5
Generating High Quality Samples of Process Cases in Internal Audit
Yaguang Sun, Lyth AI-Khazrage, Ömer Özümerzifon
Lecture notes in business information processing (2021), pp. 263-279
Closed Access | Times Cited: 4
Yaguang Sun, Lyth AI-Khazrage, Ömer Özümerzifon
Lecture notes in business information processing (2021), pp. 263-279
Closed Access | Times Cited: 4
A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery
Vincenzo Pasquadibisceglie, Donato Lucente, Donato Malerba
Lecture notes in computer science (2024), pp. 136-145
Closed Access
Vincenzo Pasquadibisceglie, Donato Lucente, Donato Malerba
Lecture notes in computer science (2024), pp. 136-145
Closed Access
A Process Mining Method Aware of Waist Event in Power System
Lei Cui, Zhenyue Long, Chaosheng Yao, et al.
(2024), pp. 1858-1867
Closed Access
Lei Cui, Zhenyue Long, Chaosheng Yao, et al.
(2024), pp. 1858-1867
Closed Access
On Process Discovery Experimentation
Jana-Rebecca Rehse, Sander J. J. Leemans, Peter Fettke, et al.
ACM Transactions on Software Engineering and Methodology (2024)
Open Access
Jana-Rebecca Rehse, Sander J. J. Leemans, Peter Fettke, et al.
ACM Transactions on Software Engineering and Methodology (2024)
Open Access
Validation of an interactive process mining methodology for clinical epidemiology through a cohort study on chronic kidney disease progression
K.C. Chen, Farhad Abtahi, Juan Jesús Carrero, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
K.C. Chen, Farhad Abtahi, Juan Jesús Carrero, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Sampling Simulation in Process Discovery
Hanung Nindito Prasetyo, R. Sarno, D. R. Wijaya, et al.
International Journal of Simulation Modelling (2023) Vol. 22, Iss. 1, pp. 17-28
Open Access | Times Cited: 1
Hanung Nindito Prasetyo, R. Sarno, D. R. Wijaya, et al.
International Journal of Simulation Modelling (2023) Vol. 22, Iss. 1, pp. 17-28
Open Access | Times Cited: 1
A TRACE CLUSTERING FRAMEWORK FOR IMPROVING THE BEHAVIORAL AND STRUCTURAL QUALITY OF PROCESS MODELS IN PROCESS MINING
Mohammad Imran, Maizatul Akmar Ismail, Suraya Hamid, et al.
Malaysian Journal of Computer Science (2023) Vol. 36, Iss. 3, pp. 223-241
Open Access | Times Cited: 1
Mohammad Imran, Maizatul Akmar Ismail, Suraya Hamid, et al.
Malaysian Journal of Computer Science (2023) Vol. 36, Iss. 3, pp. 223-241
Open Access | Times Cited: 1
On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization
Julian Theis, Ilia Mokhtarian, Houshang Darabi
Lecture notes in business information processing (2022), pp. 281-293
Open Access | Times Cited: 1
Julian Theis, Ilia Mokhtarian, Houshang Darabi
Lecture notes in business information processing (2022), pp. 281-293
Open Access | Times Cited: 1
A Systematic Literature Review on Process-Aware Recommender Systems.
Mansoureh Yari Eili, Jalal Rezaeenour, Mohammadreza Fani Sani
arXiv (Cornell University) (2021)
Closed Access
Mansoureh Yari Eili, Jalal Rezaeenour, Mohammadreza Fani Sani
arXiv (Cornell University) (2021)
Closed Access
Process Model Enhancement Through Capturing Important Behaviors and Rating Trace Variants
Mimi Wang, Xudong He, Peihai Zhao
IEEE Access (2021) Vol. 9, pp. 143634-143660
Open Access
Mimi Wang, Xudong He, Peihai Zhao
IEEE Access (2021) Vol. 9, pp. 143634-143660
Open Access
