Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A data quality approach to the identification of discrimination risk in automated decision making systems
Antonio Vetrò, Marco Torchiano, Mariachiara Mecati
Government Information Quarterly (2021) Vol. 38, Iss. 4, pp. 101619-101619
Closed Access | Times Cited: 21

Showing 21 citing articles:

Artificial-Intelligence-Supported Reduction of Employees’ Workload to Increase the Company’s Performance in Today’s VUCA Environment
Maja Rožman, Dijana Oreški, Polona Tominc
Sustainability (2023) Vol. 15, Iss. 6, pp. 5019-5019
Open Access | Times Cited: 48
Who gets the money? A qualitative analysis of fintech lending and credit scoring through the adoption of AI and alternative data
Maximilian Tigges, Sönke Mestwerdt, Sebastian Tschirner, et al.
Technological Forecasting and Social Change (2024) Vol. 205, pp. 123491-123491
Closed Access | Times Cited: 12
Automated decision-making
Stanislav Ivanov
foresight (2022) Vol. 25, Iss. 1, pp. 4-19
Closed Access | Times Cited: 37
Moral Machines or Tyranny of the Majority? A Systematic Review on Predictive Bias in Education
Lin Li, Lele Sha, Yuheng Li, et al.
(2023), pp. 499-508
Closed Access | Times Cited: 21
Automation bias in public administration – an interdisciplinary perspective from law and psychology
Hannah Ruschemeier, Lukas J. Hondrich
Government Information Quarterly (2024) Vol. 41, Iss. 3, pp. 101953-101953
Open Access | Times Cited: 5
A Record Linkage-Based Data Deduplication Framework with DataCleaner Extension
Otmane Azeroual, Meena Jha, Anastasija Nikiforova, et al.
Multimodal Technologies and Interaction (2022) Vol. 6, Iss. 4, pp. 27-27
Open Access | Times Cited: 18
Artificial intelligence governance: Understanding how public organizations implement it
Patricia Gomes Rêgo de Almeida, Carlos Denner dos Santos
Government Information Quarterly (2025) Vol. 42, Iss. 1, pp. 102003-102003
Closed Access
Experience: Bridging Data Measurement and Ethical Challenges with Extended Data Briefs
Marco Rondina, Antonio Vetrò, Alessandro Fabris, et al.
Journal of Data and Information Quality (2025)
Closed Access
Research and Development Agenda for the Use of AI in Parliaments
Jörn von Lucke, Fotios Fitsilis, Jan Etscheid
(2023)
Closed Access | Times Cited: 7
Examining Public Sector AI Adoption: Mechanisms for AI adoption in the absence of authoritative strategic direction
Antonio Molin
(2024), pp. 764-775
Closed Access | Times Cited: 2
EU Administrative Decision-Making Delegated to Machines – Legal Challenges and Issues
Pavlína Hubková
AUC IURIDICA (2024) Vol. 70, Iss. 2, pp. 101-119
Open Access | Times Cited: 1
Detecting Discrimination Risk in Automated Decision-Making Systems with Balance Measures on Input Data
Mariachiara Mecati, Antonio Vetrò, Marco Torchiano
2021 IEEE International Conference on Big Data (Big Data) (2021), pp. 4287-4296
Closed Access | Times Cited: 5
Detecting Risk of Biased Output with Balance Measures
Mariachiara Mecati, Antonio Vetrò, Marco Torchiano
Journal of Data and Information Quality (2022) Vol. 14, Iss. 4, pp. 1-7
Open Access | Times Cited: 3
Examining Value Creation in Public Sector AI Implementation
Antonio Molin, Daniel Rudmark, Dina Koutsikouri, et al.
Lecture notes in computer science (2024), pp. 317-333
Closed Access
Automated Decision-Making in the Public Sector: A Multidisciplinary Literature Review
Aya Rizk, Ida Lindgren
Lecture notes in computer science (2024), pp. 237-253
Closed Access
Measuring Imbalance on Intersectional Protected Attributes and on Target Variable to Forecast Unfair Classifications
Mariachiara Mecati, Marco Torchiano, Antonio Vetrò, et al.
IEEE Access (2023) Vol. 11, pp. 26996-27011
Open Access | Times Cited: 1
Enhancing Performance of Machine Learning Models in Healthcare: An Analytical Framework for Assessing and Improving Data Quality
Areen Al-Hgaish, Rodziah Atan, Yaakob Razali, et al.
Lecture notes in networks and systems (2024), pp. 137-153
Closed Access
Estimating the Risk of Individual Discrimination of Classifiers
Jonathan Vasquez, Xavier Gitiaux, Huzefa Rangwala
Lecture notes in computer science (2023), pp. 495-506
Closed Access
Advancing Trust In AI Algorithms: a State-of-the-Art Examination of Non-Knowledge Aware and Knowledge-Aware Aware Approaches
Ouissem Touameur, Fouzi Harrag
(2023), pp. 1-6
Closed Access
Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness
Mariachiara Mecati, Andrea Adrignola, Antonio Vetrò, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 4700-4709
Closed Access
Regulação da Inteligência Artificial: Ação Coletiva que Requer Governança
Patricia Gomes Rêgo de Almeida
Computação Brasil. (2022), Iss. 47, pp. 23-26
Open Access
Page 1

Scroll to top