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:
Predictive Process Monitoring
Chiara Di Francescomarino, Chiara Ghidini
Lecture notes in business information processing (2022), pp. 320-346
Open Access | Times Cited: 59
Chiara Di Francescomarino, Chiara Ghidini
Lecture notes in business information processing (2022), pp. 320-346
Open Access | Times Cited: 59
Showing 1-25 of 59 citing articles:
A Discussion on Generalization in Next-Activity Prediction
Luka Abb, Péter Pfeiffer, Peter Fettke, et al.
Lecture notes in business information processing (2024), pp. 18-30
Closed Access | Times Cited: 4
Luka Abb, Péter Pfeiffer, Peter Fettke, et al.
Lecture notes in business information processing (2024), pp. 18-30
Closed Access | Times Cited: 4
Interpretability in Predictive Process Monitoring Using Process Models: An Expert Evaluation of the VisInter4PPM Framework
Ana Rocío Cárdenas Maita, Marcelo Fantinato, Sarajane Marques Peres, et al.
KI - Künstliche Intelligenz (2025)
Closed Access
Ana Rocío Cárdenas Maita, Marcelo Fantinato, Sarajane Marques Peres, et al.
KI - Künstliche Intelligenz (2025)
Closed Access
Towards Fairness-Aware Predictive Process Monitoring: Evaluating Bias Mitigation Techniques
Mickaelle Caldeira da Silva, Marcelo Fantinato, Sarajane Marques Peres
Lecture notes in computer science (2025), pp. 150-166
Closed Access
Mickaelle Caldeira da Silva, Marcelo Fantinato, Sarajane Marques Peres
Lecture notes in computer science (2025), pp. 150-166
Closed Access
Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction?
Katharina Brennig, Sascha Kaltenpoth, Oliver Müller
Lecture notes in business information processing (2025), pp. 197-208
Closed Access
Katharina Brennig, Sascha Kaltenpoth, Oliver Müller
Lecture notes in business information processing (2025), pp. 197-208
Closed Access
Graph Neural Networks for PPM: Review and Benchmark for Next Activity Predictions
Sebastiano Dissegna, Chiara Di Francescomarino
Lecture notes in business information processing (2025), pp. 31-43
Closed Access
Sebastiano Dissegna, Chiara Di Francescomarino
Lecture notes in business information processing (2025), pp. 31-43
Closed Access
A Deep Study on Discriminative Supervised Learning Approach
Garima Jain, Sanat Jain, Harshlata Vishwakarma, et al.
(2025), pp. 259-279
Closed Access
Garima Jain, Sanat Jain, Harshlata Vishwakarma, et al.
(2025), pp. 259-279
Closed Access
Predictive Process Monitoring for Airport Operational Support
Björn Rafn Gunnarsson, Seppe vanden Broucke, Thibault Verhoeven, et al.
KI - Künstliche Intelligenz (2025)
Closed Access
Björn Rafn Gunnarsson, Seppe vanden Broucke, Thibault Verhoeven, et al.
KI - Künstliche Intelligenz (2025)
Closed Access
Learning from the Data to Predict the Process
Péter Pfeiffer, Luka Abb, Peter Fettke, et al.
Business & Information Systems Engineering (2025)
Open Access
Péter Pfeiffer, Luka Abb, Peter Fettke, et al.
Business & Information Systems Engineering (2025)
Open Access
Unstructured Data in Process Mining: A Systematic Literature Review
Fabian König, Andreas Egger, Wolfgang Kratsch, et al.
ACM Transactions on Management Information Systems (2025)
Closed Access
Fabian König, Andreas Egger, Wolfgang Kratsch, et al.
ACM Transactions on Management Information Systems (2025)
Closed Access
On the Impact of Low-Quality Activity Labels in Predictive Process Monitoring
Marco Comuzzi, Sungkyu Kim, Jonghyeon Ko, et al.
Lecture notes in business information processing (2025), pp. 201-213
Open Access
Marco Comuzzi, Sungkyu Kim, Jonghyeon Ko, et al.
Lecture notes in business information processing (2025), pp. 201-213
Open Access
CC-HIT: Creating Counterfactuals from High-Impact Transitions
Zhicong Xian, Ludwig Zellner, Gabriel Marques Tavares, et al.
Lecture notes in business information processing (2025), pp. 267-278
Open Access
Zhicong Xian, Ludwig Zellner, Gabriel Marques Tavares, et al.
Lecture notes in business information processing (2025), pp. 267-278
Open Access
Foundations of Process Event Data
Jochen De Weerdt, Moe Thandar Wynn
Lecture notes in business information processing (2022), pp. 193-211
Open Access | Times Cited: 20
Jochen De Weerdt, Moe Thandar Wynn
Lecture notes in business information processing (2022), pp. 193-211
Open Access | Times Cited: 20
Modelling Data-Aware Stochastic Processes - Discovery and Conformance Checking
Felix Mannhardt, Sander J. J. Leemans, Christopher T. Schwanen, et al.
Lecture notes in computer science (2023), pp. 77-98
Closed Access | Times Cited: 11
Felix Mannhardt, Sander J. J. Leemans, Christopher T. Schwanen, et al.
Lecture notes in computer science (2023), pp. 77-98
Closed Access | Times Cited: 11
Data- & compute-efficient deviance mining via active learning and fast ensembles
Francesco Folino, Gianluigi Folino, Massimo Guarascio, et al.
Journal of Intelligent Information Systems (2024) Vol. 62, Iss. 4, pp. 995-1019
Open Access | Times Cited: 4
Francesco Folino, Gianluigi Folino, Massimo Guarascio, et al.
Journal of Intelligent Information Systems (2024) Vol. 62, Iss. 4, pp. 995-1019
Open Access | Times Cited: 4
An Experiment on Transfer Learning for Suffix Prediction on Event Logs
Mathieu van Luijken, István Ketykó, Felix Mannhardt
Lecture notes in business information processing (2024), pp. 31-43
Closed Access | Times Cited: 3
Mathieu van Luijken, István Ketykó, Felix Mannhardt
Lecture notes in business information processing (2024), pp. 31-43
Closed Access | Times Cited: 3
Runtime Integration of Machine Learning and Simulation for Business Processes
Francesca Meneghello, Chiara Di Francescomarino, Chiara Ghidini
(2023)
Closed Access | Times Cited: 7
Francesca Meneghello, Chiara Di Francescomarino, Chiara Ghidini
(2023)
Closed Access | Times Cited: 7
An Event Log Repair Method Based on Masked Transformer Model
Ping Wu, Xianwen Fang, Huan Fang, et al.
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 2
Ping Wu, Xianwen Fang, Huan Fang, et al.
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 2
Predictive business process monitoring with AutoML for next activity prediction
Savvas Kaftantzis, Alexandros Bousdekis, Γεωργία Θεοδωροπούλου, et al.
Intelligent Decision Technologies (2024) Vol. 18, Iss. 3, pp. 1965-1980
Closed Access | Times Cited: 2
Savvas Kaftantzis, Alexandros Bousdekis, Γεωργία Θεοδωροπούλου, et al.
Intelligent Decision Technologies (2024) Vol. 18, Iss. 3, pp. 1965-1980
Closed Access | Times Cited: 2
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: 2
Mostafa Abbasi, Rahnuma Islam Nishat, Corey Bond, et al.
Business Process Management Journal (2024)
Closed Access | Times Cited: 2
Genetic Algorithms for AutoML in Process Predictive Monitoring
Nahyun Kwon, Marco Comuzzi
Lecture notes in business information processing (2023), pp. 242-254
Open Access | Times Cited: 5
Nahyun Kwon, Marco Comuzzi
Lecture notes in business information processing (2023), pp. 242-254
Open Access | Times Cited: 5
Automatically reconciling the trade-off between prediction accuracy and earliness in prescriptive business process monitoring
Andreas Metzger, Tristan Kley, Aristide Rothweiler, et al.
Information Systems (2023) Vol. 118, pp. 102254-102254
Open Access | Times Cited: 5
Andreas Metzger, Tristan Kley, Aristide Rothweiler, et al.
Information Systems (2023) Vol. 118, pp. 102254-102254
Open Access | Times Cited: 5
Executable Digital Process Twins: Towards the Enhancement of Process-Driven Systems
Flavio Corradini, Sara Pettinari, Barbara Re, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 3, pp. 139-139
Open Access | Times Cited: 5
Flavio Corradini, Sara Pettinari, Barbara Re, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 3, pp. 139-139
Open Access | Times Cited: 5
Structural positional encoding for knowledge integration in transformer-based medical process monitoring and trace classification
Christopher Irwin, Marco Dossena, Giorgio Leonardi, et al.
Progress in Artificial Intelligence (2024)
Closed Access | Times Cited: 1
Christopher Irwin, Marco Dossena, Giorgio Leonardi, et al.
Progress in Artificial Intelligence (2024)
Closed Access | Times Cited: 1
Model-Agnostic Event Log Augmentation for Predictive Process Monitoring
Martin Käppel, Stefan Jablonski
Lecture notes in computer science (2023), pp. 381-397
Closed Access | Times Cited: 4
Martin Käppel, Stefan Jablonski
Lecture notes in computer science (2023), pp. 381-397
Closed Access | Times Cited: 4
Does This Make Sense? Machine Learning-Based Detection of Semantic Anomalies in Business Processes
J. Caspary, Adrian Rebmann, Han van der Aa
Lecture notes in computer science (2023), pp. 163-179
Closed Access | Times Cited: 4
J. Caspary, Adrian Rebmann, Han van der Aa
Lecture notes in computer science (2023), pp. 163-179
Closed Access | Times Cited: 4
