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:
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
Showing 7 citing articles:
Analysing and Improving Business Processes Through Hybrid Simulation Model: A Case Study
Francesca Meneghello, Massimo Coletti, Debora Di Marco, et al.
Lecture notes in business information processing (2025), pp. 533-545
Open Access
Francesca Meneghello, Massimo Coletti, Debora Di Marco, et al.
Lecture notes in business information processing (2025), pp. 533-545
Open Access
Discovering multi-agent systems for resource-centric business process simulation
Lukas Kirchdorfer, Robert Blümel, Timotheus Kampik, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Lukas Kirchdorfer, Robert Blümel, Timotheus Kampik, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Stochastic Directly-Follows Process Discovery Using Grammatical Inference
Hanan Alkhammash, Artem Polyvyanyy, Alistair Moffat
Lecture notes in computer science (2024), pp. 87-103
Closed Access | Times Cited: 3
Hanan Alkhammash, Artem Polyvyanyy, Alistair Moffat
Lecture notes in computer science (2024), pp. 87-103
Closed Access | Times Cited: 3
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
Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning
Francesca Meneghello, Jeroen Middelhuis, Laura Genga, et al.
Lecture notes in computer science (2024), pp. 167-184
Closed Access | Times Cited: 1
Francesca Meneghello, Jeroen Middelhuis, Laura Genga, et al.
Lecture notes in computer science (2024), pp. 167-184
Closed Access | Times Cited: 1
Predictive process monitoring: concepts, challenges, and future research directions
Paolo Ceravolo, Marco Comuzzi, Jochen De Weerdt, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 1
Paolo Ceravolo, Marco Comuzzi, Jochen De Weerdt, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 1
CoSMo: A Framework to Instantiate Conditioned Process Simulation Models
Rafael S. Oyamada, Gabriel Marques Tavares, Sylvio Barbon, et al.
Lecture notes in computer science (2024), pp. 328-344
Closed Access
Rafael S. Oyamada, Gabriel Marques Tavares, Sylvio Barbon, et al.
Lecture notes in computer science (2024), pp. 328-344
Closed Access
Robust solutions via optimisation and predictive process monitoring for the scheduling of the interventional radiology procedures
Matteo Di Cunzolo, Massimiliano Ronzani, Roberto Aringhieri, et al.
International Transactions in Operational Research (2024)
Open Access
Matteo Di Cunzolo, Massimiliano Ronzani, Roberto Aringhieri, et al.
International Transactions in Operational Research (2024)
Open Access
