Open Access Helper

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:

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 26-50 of 48 citing articles:

How Can Natural Language Processing and Generative AI Address Grand Challenges of Quantitative User Personas?
Joni Salminen, Soon‐gyo Jung, Hind Almerekhi, et al.
Lecture notes in computer science (2023), pp. 211-231
Closed Access | Times Cited: 6
ChatGPT Role in a Medical Survey
Abdel Rahman Feras AlSamhori, Jehad Feras AlSamhori, Ahmad Feras AlSamhori
High Yield Medical Reviews (2023) Vol. 1, Iss. 2
Open Access | Times Cited: 5
Evaluation of Code Generation for Simulating Participant Behavior in Experience Sampling Method by Iterative In-Context Learning of a Large Language Model
Alireza Khanshan, Pieter Van Gorp, Panos Markopoulos
Proceedings of the ACM on Human-Computer Interaction (2024) Vol. 8, Iss. EICS, pp. 1-19
Open Access | Times Cited: 1
Science in the era of ChatGPT, large language models and generative AI
Evangelos Pournaras
transcript Verlag eBooks (2023), pp. 275-290
Open Access | Times Cited: 2
Science in the era of ChatGPT, large language models and generative AI
Evangelos Pournaras
AI critique (2023), pp. 275-290
Open Access | Times Cited: 2
Developers’ Perspective on Trustworthiness of Code Generated by ChatGPT: Insights from Interviews
Zeinab Sadat Rabani, Hanieh Khorashadizadeh, Shirin Abdollahzade, et al.
Communications in computer and information science (2024), pp. 215-229
Closed Access
Understanding Human-AI Workflows for Generating Personas
Joongi Shin, Michael A. Hedderich, Bartłomiej Jakub Rey, et al.
Designing Interactive Systems Conference (2024), pp. 757-781
Closed Access
From Deep Learning to ChatGPT for Materials Design
Mohammed Mudabbiruddin, Amir Mosavi, Felde Imre
(2024), pp. 1-8
Closed Access
Automating the Conducting of Surveys Using Large Language Models
Trevon Tewari, Patrick Hosein
Communications in computer and information science (2024), pp. 136-151
Closed Access
XtremeLLMs: Towards Extremely Large Language Models
Ibomoiye Domor Mienye, Theo G. Swart, George Obaido
(2024)
Open Access
Multi-granularity contrastive zero-shot learning model based on attribute decomposition
Yuanlong Wang, Jing Wang, Yue Fan, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103898-103898
Closed Access
The Emergency of Chatbots and Student Learning Dilemma: A Comprehensive Review
Innocent Mudhombo
(2024), pp. 151-160
Closed Access
Keeping Users Engaged During Repeated Interviews by a Virtual Agent: Using Large Language Models to Reliably Diversify Questions
Hye Sun Yun, Mehdi Arjmand, Phillip Sherlock, et al.
(2024), pp. 1-10
Closed Access
Results-Based Management Model to Improve the Modernization of Public Management in Peruvian Local Governments
Lozano Ríos Marco Antonio, José Manuel Delgado Bardales
Deleted Journal (2024) Vol. 2024, Iss. 4, pp. 947-959
Closed Access
Towards Improving Teacher Performance Assessment through Human-Centered AI-Powered Survey Analysis
Roberto E. Ramos-Rivera, Jesús García-Mancilla, Gerardo E. Cárdenas-Villa, et al.
Avances en Interacción Humano-Computadora (2024) Vol. 9, Iss. 1, pp. 261-264
Closed Access
A Large Language Model Approach to Educational Survey Feedback Analysis
Michael Parker, Caitlin Anderson, Claire Stone, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Large Language Models and Academic Writing: Five tiers of engagement
Martin Bekker
(2023)
Open Access | Times Cited: 1
EPAG: A novel enhanced move recognition algorithm based on continuous learning mechanism with positional embedding
Hao Wen, Jie Wang, Xiaodong Qiao
Natural Language Processing Journal (2023) Vol. 6, pp. 100049-100049
Open Access | Times Cited: 1
esCorpius-m: A Massive Multilingual Crawling Corpus with a Focus on Spanish
Asier Gutiérrez-Fandiño, David Pérez‐Fernández, Jordi Armengol-Estapé, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12155-12155
Open Access
Beyond Quantity

transcript Verlag eBooks (2023)
Open Access
Keeping Users Engaged During Repeated Administration of the Same Questionnaire: Using Large Language Models to Reliably Diversify Questions
Hye Sun Yun, Mehdi Arjmand, Phillip Sherlock, et al.
arXiv (Cornell University) (2023)
Open Access
Scale Development at a Scale: Exploring the Use of Synthetic Responses in Survey Research
Dario Bonaretti, Taís Barreto, A. Apitz de Parra, et al.
SSRN Electronic Journal (2023)
Closed Access
Judging Knowledge by its Cover: Leveraging Large Language Models in Establishing Criteria for Knowledge Graph Sources Selection
Hendrik Hendrik, Adhistya Erna Permanasari, Silmi Fauziati, et al.
(2023), pp. 1-8
Closed Access
Identification of Aflatoxin Knowledge Areas for Developing Natural Language Processing Chatbot Datasets
Pamela Chogo, Neema Kassim, Elizabeth Mkoba
(2023), pp. 1-7
Closed Access
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