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:

ProcessGAN: Supporting the creation of business process improvement ideas through generative machine learning
Christopher van Dun, Linda Moder, Wolfgang Kratsch, et al.
Decision Support Systems (2022) Vol. 165, pp. 113880-113880
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Generative AI
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, et al.
Business & Information Systems Engineering (2023) Vol. 66, Iss. 1, pp. 111-126
Open Access | Times Cited: 299

Generative artificial intelligence
Leonardo Banh, Gero Strobel
Electronic Markets (2023) Vol. 33, Iss. 1
Open Access | Times Cited: 97

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
Hongyang Du, Ruichen Zhang, Yinqiu Liu, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 4, pp. 2611-2646
Open Access | Times Cited: 25

Building entrepreneurial resilience during crisis using generative AI: An empirical study on SMEs
Adam Shore, Manisha Tiwari, Priyanka Tandon, et al.
Technovation (2024) Vol. 135, pp. 103063-103063
Open Access | Times Cited: 19

ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence
Amin Beheshti, Jian Yang, Quan Z. Sheng, et al.
(2023), pp. 731-739
Open Access | Times Cited: 36

Entrepreneurship education in the era of generative artificial intelligence
Robin Bell, Heather Bell
Entrepreneurship Education (2023) Vol. 6, Iss. 3, pp. 229-244
Open Access | Times Cited: 27

Generative AI
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 22

A Taxonomy for Process Improvement and Innovation Systems
Tobias Fehrer, Linda Moder, Maximilian Röglinger
Business & Information Systems Engineering (2025)
Open Access | Times Cited: 1

Prediction of Leaf Break Resistance of Green and Dry Alfalfa Leaves by Machine Learning Methods
Uğur Ercan, Önder Kabaş, Georgiana Moiceanu
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1638-1638
Open Access | Times Cited: 6

Disentangling Human-AI Hybrids
Lukas Fabri, Björn Häckel, Anna Maria Oberländer, et al.
Business & Information Systems Engineering (2023) Vol. 65, Iss. 6, pp. 623-641
Open Access | Times Cited: 15

Fake it till you make it: Synthetic data for emerging carsharing programs
Tobias Albrecht, Robert Keller, Dominik Rebholz, et al.
Transportation Research Part D Transport and Environment (2024) Vol. 127, pp. 104067-104067
Open Access | Times Cited: 5

Digital transformation in wine business – from Marketing 5.0 to Industry 5.0 in the world of wine adopting artificial intelligence
Giuseppe Festa, Antonio D’Amato, Rosa Palladino, et al.
European Journal of Innovation Management (2025)
Closed Access

ChatGPT and Beyond: Exploring the Responsible Use of Generative AI in the Workplace
Matthias Söllner, Thomas Arnold, Alexander Benlian, et al.
Business & Information Systems Engineering (2025)
Open Access

Using Eye-Tracking to Detect Search and Inference During Process Model Comprehension
Amine Abbad Andaloussi, Clemens Schreiber, Barbara Weber
Lecture notes in computer science (2025), pp. 21-38
Closed Access

ProcessLLM: A Large Language Model Specialized in the Interpretation, Analysis, and Optimization of Business Processes
Alina Buss, Wolfgang Kratsch, Sebastian Johannes Schmid, et al.
Lecture notes in business information processing (2025), pp. 221-232
Closed Access

Design principles for process improvement and innovation systems
Linda Moder, Tobias Fehrer, Maximilian Röglinger
Business Process Management Journal (2025)
Closed Access

Case ID Revealed HERE: Hybrid Elusive Case Repair Method for Transformer-Driven Business Process Event Log Enhancement
Felix Zetzsche, Robert Andrews, Arthur H. M. ter Hofstede, et al.
Business & Information Systems Engineering (2025)
Open Access

Terpsichora: A Tool to Generate Synthetic MP-Declare Process Models
Wesley da Silva Santos, J. Coutinho, Fernanda Baião, et al.
Lecture notes in business information processing (2025), pp. 624-636
Open Access

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

On the cognitive and behavioral effects of abstraction and fragmentation in modularized process models
Clemens Schreiber, Amine Abbad Andaloussi, Barbara Weber
Information Systems (2024) Vol. 125, pp. 102424-102424
Open Access | Times Cited: 3

Everything at the proper time: Repairing identical timestamp errors in event logs with Generative Adversarial Networks
Sebastian Johannes Schmid, Linda Moder, Peter Hofmann, et al.
Information Systems (2023) Vol. 118, pp. 102246-102246
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

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