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:

Showing 26-50 of 110 citing articles:

Generative AI in the Wild: Prospects, Challenges, and Strategies
Yuan Sun, Eunchae Jang, Fenglong Ma, et al.
(2024), pp. 1-16
Open Access | Times Cited: 5

Artificial intelligence and graduate employability: What should we teach Generation AI?
Peter Waring
Journal of Applied Learning & Teaching (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 5

COVID-19 Misperceptions and Masking Compliance: A Support Marshaling Analysis
John P. Crowley, Amanda Denes, Amy Bleakley, et al.
Health Communication (2025), pp. 1-15
Closed Access

Not a Swiss Army Knife: Academics' Perceptions of Trade-Offs Around Generative Artificial Intelligence Use
Afsaneh Razi, Layla Bouzoubaa, Aria Pessianzadeh, et al.
Research Square (Research Square) (2025)
Open Access

AI for marketing: Enabler? Engager? Ersatz?
Sreedhar Madhavaram, Radha Appan
AMS Review (2025)
Closed Access

Towards AI-Assisted Mapmaking: Assessing the Capabilities of GPT-4o in Cartographic Design
Abdulkadir Memduhoğlu
ISPRS International Journal of Geo-Information (2025) Vol. 14, Iss. 1, pp. 35-35
Open Access

Artificial intelligence in the battle against disinformation and misinformation: a systematic review of challenges and approaches
Hamid Reza Saeidnia, Elaheh Hosseini, Brady Lund, et al.
Knowledge and Information Systems (2025)
Closed Access

Benchmarking exercise and identification of AI tool to detect false information on food
Guy Coene, Evangelos Konstantinis
EFSA Supporting Publications (2025) Vol. 22, Iss. 2
Open Access

Fact Checking AI Generated Content
Karen E. Sutherland
(2025), pp. 269-302
Closed Access

Towards Reflexive AI: A Comprehensive Exploration of Enhancing Social Science Research Through NLP
Shan Shan
Lecture notes in networks and systems (2025), pp. 765-792
Closed Access

Augmented intelligence in social engineering attacks: a diffusion of innovation perspectiv
Kennedy Njenga, Baswabile Matemane
International Journal of Business Ecosystem and Strategy (2687-2293) (2025) Vol. 7, Iss. 1, pp. 106-121
Open Access

Multitask Learning for Authenticity and Authorship Detection
Gurunameh Singh Chhatwal, Jiashu Zhao
Electronics (2025) Vol. 14, Iss. 6, pp. 1113-1113
Open Access

Contrasting Linguistic Patterns in Human and LLM-Generated News Text
Alberto Muñoz-Ortiz, Carlos Gómez‐Rodríguez, David Vilares
Research Square (Research Square) (2024)
Open Access | Times Cited: 4

Anatomy of an AI-powered malicious social botnet
Kai‐Cheng Yang, Filippo Menczer
arXiv (Cornell University) (2023)
Open Access | Times Cited: 10

Generative AI in User-Generated Content
Yiqing Hua, Shuo Niu, Jie Cai, et al.
(2024), pp. 1-7
Open Access | Times Cited: 3

GenAICHI 2024: Generative AI and HCI at CHI 2024
Michael Müller, Anna Kantosalo, Mary Lou Maher, et al.
(2024), pp. 1-7
Open Access | Times Cited: 3

Large Language Models and Biorisk
William D’Alessandro, Harry R. Lloyd, Nathaniel Sharadin
The American Journal of Bioethics (2023) Vol. 23, Iss. 10, pp. 115-118
Open Access | Times Cited: 9

More Than Data Stories: Broadening the Role of Visualization in Contemporary Journalism
Yu Fu, John Stasko
IEEE Transactions on Visualization and Computer Graphics (2023) Vol. 30, Iss. 8, pp. 5240-5259
Closed Access | Times Cited: 8

AI Through a CSR Lens: Consumer Issues and Public Policy
Shuili Du, Sankar Sen
Journal of Public Policy & Marketing (2023) Vol. 42, Iss. 4, pp. 351-353
Closed Access | Times Cited: 8

Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation
Jason Lucas, Adaku Uchendu, Michiharu Yamashita, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 8

A Survey of Reasoning with Foundation Models
Jiankai Sun, Chuanyang Zheng, Enze Xie, et al.
(2023)
Open Access | Times Cited: 8

Machine Advisors: Integrating Large Language Models into Democratic Assemblies
Petr Špecián
SSRN Electronic Journal (2024)
Open Access | Times Cited: 2

Scroll to top