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:

The Self-Perception and Political Biases of ChatGPT
Jérôme Rutinowski, Sven Franke, Jan Endendyk, et al.
Human Behavior and Emerging Technologies (2024) Vol. 2024, pp. 1-9
Open Access | Times Cited: 61

Showing 26-50 of 61 citing articles:

Perils and Opportunities in Using Large Language Models in Psychological Research
Suhaib Abdurahman, Mohammad Atari, Farzan Karimi-Malekabadi, et al.
(2023)
Open Access | Times Cited: 7

The Personification of ChatGPT (GPT-4)—Understanding Its Personality and Adaptability
Leandro Stöckli, Luca Joho, Felix Lehner, et al.
Information (2024) Vol. 15, Iss. 6, pp. 300-300
Open Access | Times Cited: 2

Ethics and the use of generative AI in professional editing
Renée Otmar, Michael Rose, Sharon Mullins, et al.
AI and Ethics (2024)
Open Access | Times Cited: 2

Personality testing of large language models: limited temporal stability, but highlighted prosociality
Bojana Bodroža, Bojana M. Dinić, Ljubiša Bojić
Royal Society Open Science (2024) Vol. 11, Iss. 10
Open Access | Times Cited: 2

Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMs
Tanise Ceron, Neele Falk, Ana Barić, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 1378-1400
Open Access | Times Cited: 2

Perils and Opportunities in Using Large Language Models in Psychological Research
Suhaib Abdurahman, Mohammad Atari, Farzan Karimi-Malekabadi, et al.
(2023)
Open Access | Times Cited: 6

Digital Dissonance: Large Language Models' Unbalanced Political Narrative
Fábio Motoki, Valdemar Pinho Neto, Victor Rangel
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1

What Were the Causes of the American Civil War? A Study in Artificial Intelligence
Robert W. McGee
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1

Challenges and Opportunities of LLM-Based Synthetic Personae and Data in HCI
Mirjana Prpa, Giovanni Maria Troiano, Matthew Wood, et al.
(2024), pp. 1-5
Open Access | Times Cited: 1

Real-GPT: Efficiently Tailoring LLMs for Informed Decision-Making in the Real Estate Industry
Benedikt Gloria, Johannes Werner Melsbach, Sven Bienert, et al.
Journal of Real Estate Portfolio Management (2024), pp. 1-17
Closed Access | Times Cited: 1

Embracing generative artificial intelligence tools in higher education: a survey study at the Hong Kong University of Science and Technology
Alex Jingwei He, Zhuoni Zhang, Pritish Anand, et al.
Journal of Asian Public Policy (2024), pp. 1-25
Open Access | Times Cited: 1

Is ChatGPT a friend or foe in the war on misinformation?
Burgert Senekal, Susan Brokensha
Communicare Journal for Communication Studies in Africa (2023) Vol. 42, Iss. 2, pp. 3-16
Open Access | Times Cited: 3

The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
Abel Salinas, Parth Shah, Yuzhong Huang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2

Human Rights and Religious Intolerance of Mixed Marriages: A Case Study of Indonesia
Robert W. McGee
SSRN Electronic Journal (2024)
Closed Access

How Artificial Intelligence Can Influence Elections: Analyzing the Large Language Models (LLMs) Political Bias
George-Cristinel Rotaru, Sorin Anagnoste, Vasile-Marian Oancea
Proceedings of the ... International Conference on Business Excellence (2024) Vol. 18, Iss. 1, pp. 1882-1891
Closed Access

Benchmarking Trust: A Metric for Trustworthy Machine Learning
Jérôme Rutinowski, Simon Klüttermann, Jan Endendyk, et al.
Communications in computer and information science (2024), pp. 287-307
Closed Access

Analyzing AI Bias: The Discourse of Terror and Sport Ahead of Paris 2024 Olympics
Tal Samuel-Azran, Ilan Manor, Evyatar Yitzhak, et al.
American Behavioral Scientist (2024)
Closed Access

Optimization of Marketing Strategies Employing LLMs: A Systematic Review
Juan Guillermo Saurith Moreno, Daniel Camilo Blanco Galan, Sebastian Mindiola Garizado, et al.
Lúmina (2024) Vol. 25, Iss. 2, pp. E0058-E0058
Open Access

GPT-3.5 altruistic advice is sensitive to reciprocal concerns but not to strategic risk
Eva‐Madeleine Schmidt, Sara Bonati, Nils Köbis, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Challenges and Opportunities of LLM-Based Synthetic Personae and Data in HCI
Mirjana Prpa, Giovanni Maria Troiano, Bingsheng Yao, et al.
(2024), pp. 716-719
Open Access

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