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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:

Utilizing domain knowledge in data-driven process discovery: A literature review
Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Computers in Industry (2022) Vol. 137, pp. 103612-103612
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study
Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
Lecture notes in business information processing (2024), pp. 427-439
Closed Access | Times Cited: 21
Large Process Models: A Vision for Business Process Management in the Age of Generative AI
Timotheus Kampik, Christian Warmuth, Adrian Rebmann, et al.
KI - Künstliche Intelligenz (2024)
Open Access | Times Cited: 15
Cortado: A dedicated process mining tool for interactive process discovery
Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
SoftwareX (2023) Vol. 22, pp. 101373-101373
Open Access | Times Cited: 17
A point selection method in map generalization using graph convolutional network model
Tianyuan Xiao, Tinghua Ai, Huafei Yu, et al.
Cartography and Geographic Information Science (2023) Vol. 51, Iss. 1, pp. 20-40
Closed Access | Times Cited: 16
INTEGRATED SIMULATION FRAMEWORKS FOR ASSESSING THE ENVIRONMENTAL IMPACT OF CHEMICAL POLLUTANTS IN AQUATIC SYSTEMS
Ayodeji Abatan, Alexander Obaigbena, Ejike David Ugwuanyi, et al.
Engineering Science & Technology Journal (2024) Vol. 5, Iss. 2, pp. 543-554
Open Access | Times Cited: 7
Machine Learning in Reservoir Engineering: A Review
Wensheng Zhou, Chen Liu, Yuandong Liu, et al.
Processes (2024) Vol. 12, Iss. 6, pp. 1219-1219
Open Access | Times Cited: 4
Bridging Domain Knowledge and Process Discovery Using Large Language Models
Ali Norouzifar, Humam Kourani, Marcus Dees, et al.
Lecture notes in business information processing (2025), pp. 44-56
Closed Access
Arquitetura híbrida baseada em Business Process Management, arquitetura corporativa e mineração de processos para apoiar o mapeamento e o redesenho inteligente de processos organizacionais
Márcio Romero, Dacyr Dante de Oliveira Gatto, Nityananda Portellada, et al.
Revista de Gestão e Secretariado (Management and Administrative Professional Review) (2025) Vol. 16, Iss. 2, pp. e4730-e4730
Open Access
Enhancing Bottleneck Analysis in Ship Manufacturing with Knowledge Graphs and Large Language Models
Yanjun Ma, Tao Wu, Bin Zhou, et al.
Machines (2025) Vol. 13, Iss. 3, pp. 224-224
Open Access
From Failure to Fusion: A Survey on Learning from Bad Machine Learning Models
M.Z. Naser
Information Fusion (2025), pp. 103122-103122
Open Access
Prediction of fire mass loss rate of multi-source hydrocarbon pool fires based on deep learning of risk interaction
Lei Deng, Congling Shi, Haoran Li, et al.
Reliability Engineering & System Safety (2025), pp. 111073-111073
Closed Access
How Can Interactive Process Discovery Address Data Quality Issues in Real Business Settings? Evidence from a Case Study in Healthcare
Elisabetta Benevento, Davide Aloini, Wil M. P. van der Aalst
Journal of Biomedical Informatics (2022) Vol. 130, pp. 104083-104083
Open Access | Times Cited: 18
Analyzing Healthcare Processes with Incremental Process Discovery: Practical Insights from a Real-World Application
Daniel Schuster, Elisabetta Benevento, Davide Aloini, et al.
Journal of Healthcare Informatics Research (2024) Vol. 8, Iss. 3, pp. 523-554
Open Access | Times Cited: 3
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
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
Imposing Rules in Process Discovery: An Inductive Mining Approach
Ali Norouzifar, Marcus Dees, Wil M. P. van der Aalst
Lecture notes in business information processing (2024), pp. 220-236
Closed Access | Times Cited: 1
Towards Modeling Process Mining for Graphical Editors
MohammadHadi Dehghani, Luca Berardinelli, Manuel Wimmer
2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) (2023), pp. 929-933
Closed Access | Times Cited: 3
A Methodology for Aligning Process Model Abstraction Levels and Stakeholder Needs
Dennis G. J. C. Maneschijn, Rob Bemthuis, Faiza Allah Bukhsh, et al.
(2022)
Open Access | Times Cited: 5
Mining Frequent Infix Patterns from Concurrency-Aware Process Execution Variants
Michael Martini, Daniel Schuster, Wil M. P. van der Aalst
Proceedings of the VLDB Endowment (2023) Vol. 16, Iss. 10, pp. 2666-2678
Closed Access | Times Cited: 2
Bridging Signals and Human Intelligence
David Graf, Werner Retschitzegger, Wieland Schwinger, et al.
Lecture notes in computer science (2022), pp. 571-585
Closed Access | Times Cited: 3
Text2EL + : Expert Guided Event Log Enrichment Using Unstructured Text
Dakshi Kapugama Geeganage, Moe Thandar Wynn, Arthur H. M. ter Hofstede
Journal of Data and Information Quality (2024) Vol. 16, Iss. 1, pp. 1-28
Closed Access
Self-supervised data lakes discovery through unsupervised metadata-driven weighted similarity
I Made Putrama, Péter Martinek
Information Sciences (2024) Vol. 662, pp. 120242-120242
Open Access
Abstract Algebraic Approach to the Formation of Computational Environments for Solving Problems in Object Formulations
Vladimir V. Suvorov
Lecture notes in networks and systems (2024), pp. 35-42
Closed Access
Patterns for Trace Enrichment: Collecting General Patterns for Enriching Event Data
Mark van der Pas
SSRN Electronic Journal (2024)
Closed Access
Domain Knowledge Injection Guidance for Predictive Maintenance
Lameya Afroze, Silke Merkelbach, Sebastian von Enzberg, et al.
Technologien für die intelligente Automation (2024), pp. 75-87
Open Access
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