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:

Distinguishing academic science writing from humans or ChatGPT with over 99% accuracy using off-the-shelf machine learning tools
Heather Desaire, Aleesa E. Chua, Madeline Isom, et al.
Cell Reports Physical Science (2023) Vol. 4, Iss. 6, pp. 101426-101426
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

First-year students AI-competence as a predictor for intended and de facto use of AI-tools for supporting learning processes in higher education
Jan Delcker, Joana Heil, Dirk Ifenthaler, et al.
International Journal of Educational Technology in Higher Education (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 35

Unveiling the landscape of generative artificial intelligence in education: a comprehensive taxonomy of applications, challenges, and future prospects
Agariadne Dwinggo Samala, Soha Rawas, Tianchong Wang, et al.
Education and Information Technologies (2024)
Closed Access | Times Cited: 23

The Effectiveness of Software Designed to Detect AI-Generated Writing: A Comparison of 16 AI Text Detectors
William H. Walters
Open Information Science (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 36

An Analysis of AI-Generated Laboratory Reports across the Chemistry Curriculum and Student Perceptions of ChatGPT
Joseph K. West, Jeanne L. Franz, Sara M. Hein, et al.
Journal of Chemical Education (2023) Vol. 100, Iss. 11, pp. 4351-4359
Open Access | Times Cited: 35

Risks of abuse of large language models, like ChatGPT, in scientific publishing: Authorship, predatory publishing, and paper mills
Graham Kendall, Jaime A. Teixeira da Silva
Learned Publishing (2023) Vol. 37, Iss. 1, pp. 55-62
Closed Access | Times Cited: 32

Accurately detecting AI text when ChatGPT is told to write like a chemist
Heather Desaire, Aleesa E. Chua, Min Kim, et al.
Cell Reports Physical Science (2023) Vol. 4, Iss. 11, pp. 101672-101672
Open Access | Times Cited: 27

Analysis of ChatGPT Responses to Ophthalmic Cases: Can ChatGPT Think Like an Ophthalmologist?
Jimmy Chen, Akshay J Reddy, Eman Al-Sharif, et al.
Ophthalmology Science (2024) Vol. 5, Iss. 1, pp. 100600-100600
Open Access | Times Cited: 9

How to fight fake papers: a review on important information sources and steps towards solution of the problem
Jonathan Wittau, Roland Seifert
Naunyn-Schmiedeberg s Archives of Pharmacology (2024) Vol. 397, Iss. 12, pp. 9281-9294
Open Access | Times Cited: 8

Assessing text comprehension proficiency: Indonesian higher education students vs ChatGPT
Juanda Juanda, Iswan Afandi
XLinguae (2024) Vol. 17, Iss. 1, pp. 49-68
Open Access | Times Cited: 7

Perfect detection of computer-generated text faces fundamental challenges
Martin Májovský, Martin Černý, David Netuka, et al.
Cell Reports Physical Science (2024) Vol. 5, Iss. 1, pp. 101769-101769
Open Access | Times Cited: 6

ChatGPT and generative AI are revolutionizing the scientific community: A Janus‐faced conundrum
Zhongji Pu, Chun‐Lin Shi, Che Ok Jeon, et al.
iMeta (2024) Vol. 3, Iss. 2
Open Access | Times Cited: 6

Balancing Innovation and Integrity: The Role of AI in Research and Scientific Writing
Ahmed S. BaHammam
Nature and Science of Sleep (2023) Vol. Volume 15, pp. 1153-1156
Open Access | Times Cited: 16

Why technical solutions for detecting AI-generated content in research and education are insufficient
Jahna Otterbacher
Patterns (2023) Vol. 4, Iss. 7, pp. 100796-100796
Open Access | Times Cited: 15

‘ChatGPT detector’ catches AI-generated papers with unprecedented accuracy
McKenzie Prillaman
Nature (2023)
Closed Access | Times Cited: 13

Mitigating Bias in Clinical Machine Learning Models
Julio C. Perez-Downes, Andrew S. Tseng, Keith McConn, et al.
Current Treatment Options in Cardiovascular Medicine (2024) Vol. 26, Iss. 3, pp. 29-45
Closed Access | Times Cited: 5

AI or Human? Finding and Responding to Artificial Intelligence in Student Work
Gary D. Fisk
Teaching of Psychology (2024)
Closed Access | Times Cited: 5

Implementation and Evaluation of a ChatGPT-Assisted Special Topics Writing Assignment in Biochemistry
Manik R. Reddy, Nils G. Walter, Yulia V. Sevryugina
Journal of Chemical Education (2024) Vol. 101, Iss. 7, pp. 2740-2748
Closed Access | Times Cited: 5

AI for dielectric capacitors
Run‐Lin Liu, Jian Wang, Zhonghui Shen, et al.
Energy storage materials (2024) Vol. 71, pp. 103612-103612
Closed Access | Times Cited: 5

Generative AI detection in higher education assessments
Cesare Giulio Ardito
New Directions for Teaching and Learning (2024)
Open Access | Times Cited: 5

Leveraging ChatGPT and Bard: What does it convey for water treatment/desalination and harvesting sectors?
Saikat Sinha Ray, Pranav R. T. Peddinti, Rohit Kumar Verma, et al.
Desalination (2023) Vol. 570, pp. 117085-117085
Closed Access | Times Cited: 12

Unveiling ChatGPT text using writing style
Lamia Berriche, Souad Larabi-Marie-Sainte
Heliyon (2024) Vol. 10, Iss. 12, pp. e32976-e32976
Open Access | Times Cited: 4

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