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:

Employing large language models in survey research
Bernard J. Jansen, Soon‐gyo Jung, Joni Salminen
Natural Language Processing Journal (2023) Vol. 4, pp. 100020-100020
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Generative Pre-Trained Transformer (GPT) in Research: A Systematic Review on Data Augmentation
Fahim Sufi
Information (2024) Vol. 15, Iss. 2, pp. 99-99
Open Access | Times Cited: 27
Bibliometric Analysis on ChatGPT Research with CiteSpace
Dongyan Nan, Xiangying Zhao, Chaomei Chen, et al.
Information (2025) Vol. 16, Iss. 1, pp. 38-38
Open Access | Times Cited: 1
Opportunities, Challenges and School Strategies for Integrating Generative AI in Education
Davy Tsz Kit Ng, Emily Chan, Chung Kwan Lo
Computers and Education Artificial Intelligence (2025), pp. 100373-100373
Open Access | Times Cited: 1
Enhancing participatory planning with ChatGPT-assisted planning support systems: a hypothetical case study in Seoul
Steven Jige Quan, Syng‐Ook Lee
International Journal of Urban Sciences (2025), pp. 1-34
Closed Access | Times Cited: 1
Algorithmically-driven writing and academic integrity: exploring educators' practices, perceptions, and policies in AI era
Leah Gustilo, Ethel Ong, Minie Rose C. Lapinid
International Journal for Educational Integrity (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 11
A scoping review of ChatGPT research in accounting and finance
Mengming Dong, Theophanis C. Stratopoulos, Victor Xiaoqi Wang
International Journal of Accounting Information Systems (2024) Vol. 55, pp. 100715-100715
Open Access | Times Cited: 10
A Scoping Review of ChatGPT Research in Accounting and Finance
Mengming Dong, Theophanis C. Stratopoulos, Victor Xiaoqi Wang
SSRN Electronic Journal (2024)
Open Access | Times Cited: 8
A Large Language Model Approach to Educational Survey Feedback Analysis
Michael Parker, Caitlin Anderson, Claire Stone, et al.
International Journal of Artificial Intelligence in Education (2024)
Open Access | Times Cited: 7
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching
Cong Guo, Rui Zhang, Jiale Xu, et al.
(2024), pp. 450-466
Open Access | Times Cited: 6
Large language models can help boost food production, but be mindful of their risks
Djavan De Clercq, Elias Nehring, Harry Mayne, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 6
Collaboration between intelligent agents and large language models: A novel approach for enhancing code generation capability
Xingyuan Bai, Shaobin Huang, Chi Wei, et al.
Expert Systems with Applications (2025), pp. 126357-126357
Closed Access
Value‐sensitive design of chatbots in environmental education: Supporting identity, connectedness, well‐being and sustainability
Ha Nguyen, Victoria Nguyen, Sara Ludovise, et al.
British Journal of Educational Technology (2025)
Open Access
Coalesce: An Accessible Mixed-Initiative System for Designing Community-Centric Questionnaires
Cassandra Overney, Daniel Kessler, Suyash Fulay, et al.
(2025), pp. 366-389
Closed Access
MisCaltral: Reducing Numeric Hallucinations of Mistral with Precision Numeric Calculation
Shih-Wen Chen, Hsien-Jung Hsu
Research Square (Research Square) (2023)
Open Access | Times Cited: 15
RadioLab project: knowledge of radon gas in Italy
Fabrizio Ambrosino, Giuseppe La Verde, Michele Colucci, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Large language models and academic writing: Five tiers of engagement
Martin Bekker
South African Journal of Science (2024) Vol. 120, Iss. 1/2
Open Access | Times Cited: 4
Management Consulting in the Artificial Intelligence – LLM Era
Sai Krishnan Mohan
Management Consulting Journal (2024) Vol. 7, Iss. 1, pp. 9-24
Open Access | Times Cited: 4
Picturing the fictitious person: An exploratory study on the effect of images on user perceptions of AI-generated personas
Joni Salminen, João M. Santos, Soon‐gyo Jung, et al.
Computers in Human Behavior Artificial Humans (2024) Vol. 2, Iss. 1, pp. 100052-100052
Open Access | Times Cited: 4
Artificial Intelligence and Digital Tools for Assisting Low-Carbon Architectural Design: Merging the Use of Machine Learning, Large Language Models, and Building Information Modeling for Life Cycle Assessment Tool Development
Mateusz Płoszaj-Mazurek, Elżbieta Ryńska
Energies (2024) Vol. 17, Iss. 12, pp. 2997-2997
Open Access | Times Cited: 4
Large Language Model on Multi-Modal Data
Avi Aneja, Anuradha Dhull, Akansha Singh, et al.
(2025), pp. 63-78
Closed Access
Simulating Climate Change Discussion with Large Language Models: Considerations for Science Communication at Scale
Ha Nguyen, Victoria Nguyen, Saríah López-Fierro, et al.
(2024), pp. 28-38
Closed Access | Times Cited: 3
ChatReview: A ChatGPT-enabled natural language processing framework to study domain-specific user reviews
Brittany Ho, Ta’Rhonda Mayberry, Khanh Linh Nguyen, et al.
Machine Learning with Applications (2023) Vol. 15, pp. 100522-100522
Open Access | Times Cited: 7
Voices from the algorithm: Large language models in social research
Emily Cox, Fiona Shirani, Paul Rouse
Energy Research & Social Science (2024) Vol. 113, pp. 103559-103559
Open Access | Times Cited: 2
Addressing Data Scarcity in the Medical Domain: A GPT-Based Approach for Synthetic Data Generation and Feature Extraction
Fahim Sufi
Information (2024) Vol. 15, Iss. 5, pp. 264-264
Open Access | Times Cited: 2
Neurosymbolic AI for Personalized Sentiment Analysis
Luyao Zhu, Rui Mao, Erik Cambria, et al.
Lecture notes in computer science (2024), pp. 269-290
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top