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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:

The evolution of citation graphs in artificial intelligence research
Morgan R. Frank, Dashun Wang, Manuel Cebrián, et al.
Nature Machine Intelligence (2019) Vol. 1, Iss. 2, pp. 79-85
Closed Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

Are we preparing for a good AI society? A bibliometric review and research agenda
Samuel Fosso Wamba, Ransome Epie Bawack, Cameron Guthrie, et al.
Technological Forecasting and Social Change (2020) Vol. 164, pp. 120482-120482
Closed Access | Times Cited: 158
Non-White scientists appear on fewer editorial boards, spend more time under review, and receive fewer citations
Fengyuan Liu, Talal Rahwan, Bedoor AlShebli
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 13
Open Access | Times Cited: 86
A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
Bharti Khemani, Shruti Patil, Ketan Kotecha, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 78
Gender inequality and self-publication are common among academic editors
Fengyuan Liu, Petter Holme, Matteo Chiesa, et al.
Nature Human Behaviour (2023) Vol. 7, Iss. 3, pp. 353-364
Open Access | Times Cited: 53
Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021
Stefan Hajkowicz, Conrad Sanderson, Sarvnaz Karimi, et al.
Technology in Society (2023) Vol. 74, pp. 102260-102260
Open Access | Times Cited: 53
AI for social science and social science of AI: A survey
R. F. Xu, Yingfei Sun, Mengjie Ren, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103665-103665
Open Access | Times Cited: 30
Blockchain for explainable and trustworthy artificial intelligence
Mohamed Nassar, Khaled Salah, Muhammad Habib ur Rehman, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2019) Vol. 10, Iss. 1
Closed Access | Times Cited: 118
Biochar in the 21st century: A data-driven visualization of collaboration, frontier identification, and future trend
Fanzhi Qin, Jialing Li, Chen Zhang, et al.
The Science of The Total Environment (2021) Vol. 818, pp. 151774-151774
Closed Access | Times Cited: 100
AI and the Future of Skills, Volume 1

Educational research and innovation (2021)
Open Access | Times Cited: 95
The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research
Nur Ahmed, Muntasir Wahed
arXiv (Cornell University) (2020)
Open Access | Times Cited: 76
Research community dynamics behind popular AI benchmarks
Fernando Martínez‐Plumed, Pablo Barredo, Seán Ó hÉigeartaigh, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 7, pp. 581-589
Open Access | Times Cited: 57
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network
Mario Krenn, Lorenzo Buffoni, Bruno Coutinho, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 11, pp. 1326-1335
Open Access | Times Cited: 34
Epidemic effects in the diffusion of emerging digital technologies: evidence from artificial intelligence adoption
Johannes Dahlke, Mathias Beck, Jan Kinne, et al.
Research Policy (2023) Vol. 53, Iss. 2, pp. 104917-104917
Open Access | Times Cited: 23
Hello, World
Jamie Berryhill, Kévin Kok Heang, Rob Clogher, et al.
OECD working papers on public governance (2019)
Open Access | Times Cited: 66
Digital Pharmaceutical Sciences
Safa A. Damiati
AAPS PharmSciTech (2020) Vol. 21, Iss. 6
Open Access | Times Cited: 65
The pace of artificial intelligence innovations: Speed, talent, and trial-and-error
Xuli Tang, Xin Li, Ying Ding, et al.
Journal of Informetrics (2020) Vol. 14, Iss. 4, pp. 101094-101094
Open Access | Times Cited: 63
Reinventing Innovation Management: The Impact of Self-Innovating Artificial Intelligence
Philip Hutchinson
IEEE Transactions on Engineering Management (2020) Vol. 68, Iss. 2, pp. 628-639
Closed Access | Times Cited: 61
Validity of machine learning in biology and medicine increased through collaborations across fields of expertise
Maria Littmann, Katharina Selig, Liel Cohen-Lavi, et al.
Nature Machine Intelligence (2020) Vol. 2, Iss. 1, pp. 18-24
Closed Access | Times Cited: 59
Autonomous Vehicles and Avoiding the Trolley (Dilemma): Vehicle Perception, Classification, and the Challenges of Framing Decision Ethics
Martin Cunneen, Martin Mullins, Finbarr Murphy, et al.
Cybernetics & Systems (2019) Vol. 51, Iss. 1, pp. 59-80
Open Access | Times Cited: 56
Artificial intelligence application for rapid fabrication of size-tunable PLGA microparticles in microfluidics
Safa A. Damiati, Damiano Rossi, Haakan N. Joensson, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 50
Quantifying the use and potential benefits of artificial intelligence in scientific research
Jian Gao, Dashun Wang
Nature Human Behaviour (2024)
Closed Access | Times Cited: 7
Pasteur’s quadrant in AI: do patent-cited papers have higher scientific impact?
Xingyu Gao, Qiang Wu, Yuanyuan Liu, et al.
Scientometrics (2024) Vol. 129, Iss. 2, pp. 909-932
Closed Access | Times Cited: 6
Patterns in the Growth and Thematic Evolution of Artificial Intelligence Research: A Study Using Bradford Distribution of Productivity and Path Analysis
Solanki Gupta, Anurag Kanaujia, Hiran H. Lathabai, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-26
Open Access | Times Cited: 5
Open-Source AI Community as 'Trading Zone': The Role of Open-Source Models in the Diffusion of Artificial Intelligence Innovation Completed Research Paper
Kaige Gao, Youngjin Yoo, Aaron Schecter
(2025)
Closed Access
Discovering AI adoption patterns from big academic graph data
Sang-Yoon Kim, Won Kyung Lee, Su Jung Jee, et al.
Scientometrics (2025)
Closed Access
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