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:

When brain-inspired AI meets AGI
Lin Zhao, Lu Zhang, Zihao Wu, et al.
Meta-Radiology (2023) Vol. 1, Iss. 1, pp. 100005-100005
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Summary of ChatGPT-Related research and perspective towards the future of large language models
Yiheng Liu, Tianle Han, Siyuan Ma, et al.
Meta-Radiology (2023) Vol. 1, Iss. 2, pp. 100017-100017
Open Access | Times Cited: 385

A comprehensive survey of ChatGPT: Advancements, applications, prospects, and challenges
Anam Nazir, Ze Wang
Meta-Radiology (2023) Vol. 1, Iss. 2, pp. 100022-100022
Open Access | Times Cited: 110

Evaluating large language models on a highly-specialized topic, radiation oncology physics
Jason Holmes, Zhengliang Liu, Lian Zhang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 83

Review of large vision models and visual prompt engineering
Jiaqi Wang, Zhengliang Liu, Lin Zhao, et al.
Meta-Radiology (2023) Vol. 1, Iss. 3, pp. 100047-100047
Open Access | Times Cited: 79

Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models
Yiheng Liu, Tianle Han, Siyuan Ma, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 68

A critical review towards artificial general intelligence: Challenges, ethical considerations, and the path forward
Sedat Sonko, Adebunmi Okechukwu Adewusi, Ogugua Chimezie, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 3, pp. 1262-1268
Open Access | Times Cited: 52

An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT
Chong Ma, Zihao Wu, Jiaqi Wang, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 8, pp. 4163-4175
Open Access | Times Cited: 15

Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
Răzvan Onciul, Cătălina-Ioana Tătaru, Adrian Dumitru, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 550-550
Open Access | Times Cited: 3

TRACING THE EVOLUTION OF AI AND MACHINE LEARNING APPLICATIONS IN ADVANCING MATERIALS DISCOVERY AND PRODUCTION PROCESSES
Nwakamma Ninduwezuor-Ehiobu, Olawe Alaba Tula, Chibuike Daraojimba, et al.
Engineering Science & Technology Journal (2023) Vol. 4, Iss. 3, pp. 66-83
Open Access | Times Cited: 33

Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study
Wenxiong Liao, Zhengliang Liu, Haixing Dai, et al.
JMIR Medical Education (2023) Vol. 9, pp. e48904-e48904
Open Access | Times Cited: 33

ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT
Chong Ma, Zihao Wu, Jiaqi Wang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 31

Privacy Audit of Commercial Large Language Models with Sophisticated Prompt Engineering
Jeffrey Lund, S. Neil MacFarlane, Brooke Niles
(2024)
Open Access | Times Cited: 10

Artificial Intelligence-Based Algorithms in Medical Image Scan Segmentation and Intelligent Visual Content Generation—A Concise Overview
Zofia Rudnicka, Janusz Szczepański, Agnieszka Pręgowska
Electronics (2024) Vol. 13, Iss. 4, pp. 746-746
Open Access | Times Cited: 9

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain
Zhengliang Liu, Aoxiao Zhong, Yiwei Li, et al.
Lecture notes in computer science (2023), pp. 464-473
Closed Access | Times Cited: 21

Understanding LLMs: A comprehensive overview from training to inference
Yiheng Liu, Hao He, Tianle Han, et al.
Neurocomputing (2024), pp. 129190-129190
Closed Access | Times Cited: 6

Large language models for robotics: Opportunities, challenges, and perspectives
Jiaqi Wang, Enze Shi, Huawen Hu, et al.
Journal of Automation and Intelligence (2024)
Open Access | Times Cited: 6

Technical note: Generalizable and promptable artificial intelligence model to augment clinical delineation in radiation oncology
Lian Zhang, Zhengliang Liu, Lu Zhang, et al.
Medical Physics (2024) Vol. 51, Iss. 3, pp. 2187-2199
Closed Access | Times Cited: 5

Navigating artificial general intelligence development: societal, technological, ethical, and brain-inspired pathways
Raghu Raman, Robin M. Kowalski, Krishnashree Achuthan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Artificial general intelligence for radiation oncology
Chenbin Liu, Zhengliang Liu, Jason Holmes, et al.
Meta-Radiology (2023) Vol. 1, Iss. 3, pp. 100045-100045
Open Access | Times Cited: 11

Adaptive class augmented prototype network for few-shot relation extraction
Rongzhen Li, Jiang Zhong, Wenyue Hu, et al.
Neural Networks (2023) Vol. 169, pp. 134-142
Open Access | Times Cited: 10

Redefining the Teacher's Role in The Era of Artificial General Intelligence: Prognosticate
Hacı Hasan Yolcu
Açıköğretim Uygulamaları ve Araştırmaları Dergisi (2024) Vol. 10, Iss. 1, pp. 155-167
Open Access | Times Cited: 3

Neuroinformatics Applications of Data Science and Artificial Intelligence
Ivo D. Dinov
Neuroinformatics (2024)
Closed Access | Times Cited: 3

Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer
Zhenxiang Xiao, Yuzhong Chen, Junjie Yao, et al.
Information Fusion (2023) Vol. 104, pp. 102204-102204
Closed Access | Times Cited: 7

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