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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:

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
Zhiqiang Hu, Lei Wang, Yihuai Lan, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi, et al.
(2023)
Open Access | Times Cited: 70
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community
Qingyao Ai, Ting Bai, Zhao Cao, et al.
AI Open (2023) Vol. 4, pp. 80-90
Open Access | Times Cited: 46
A Survey of Large Language Models for Healthcare: From Data, Technology, and Applications to Accountability and Ethics
Kai He, Rui Mao, Qika Lin, et al.
(2024)
Open Access | Times Cited: 45
Prompt Engineering or Fine-Tuning? A Case Study on Phishing Detection with Large Language Models
Fouad Trad, Ali Chehab
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 367-384
Open Access | Times Cited: 29
Frequency-Guided Spatial Adaptation for Camouflaged Object Detection
Shizhou Zhang, Dexuan Kong, Yinghui Xing, et al.
IEEE Transactions on Multimedia (2025) Vol. 27, pp. 72-83
Open Access | Times Cited: 3
Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi, et al.
(2023)
Open Access | Times Cited: 38
The Potential of Generative AI for Personalized Persuasion at Scale
Sandra Matz, Jake Teeny, Sumer S. Vaid, et al.
(2023)
Open Access | Times Cited: 24
DNAGPT: A Generalized Pre-trained Tool for Multiple DNA Sequence Analysis Tasks
Daoan Zhang, Weitong Zhang, Yu Zhao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 24
Open-source LLMs for text annotation: a practical guide for model setting and fine-tuning
Meysam Alizadeh, Maël Kubli, Zeynab Samei, et al.
Journal of Computational Social Science (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 12
A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges
Xinyi Li, S. Wang, Siqi Zeng, et al.
Vicinagearth. (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 11
Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation
Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18099-18107
Open Access | Times Cited: 10
A scientific-article key-insight extraction system based on multi-actor of fine-tuned open-source large language models
Zihan Song, Grace M. Hwang, Xin Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
AI Computing Systems for Large Language Models Training
Zhenxing Zhang, Yuanbo Wen, Hairong Lyu, et al.
Journal of Computer Science and Technology (2025) Vol. 40, Iss. 1, pp. 6-41
Closed Access | Times Cited: 1
Evaluating the Utilities of Foundation Models in Single-cell Data Analysis
Tianyu Liu, Kexing Li, Yuge Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 19
LLM-Commentator: Novel fine-tuning strategies of large language models for automatic commentary generation using football event data
Alec Cook, Oktay Karakuş
Knowledge-Based Systems (2024) Vol. 300, pp. 112219-112219
Open Access | Times Cited: 8
GeoLLM: A specialized large language model framework for intelligent geotechnical design
Haitao Xu, Ning Zhang, Zhenyu Yin, et al.
Computers and Geotechnics (2024) Vol. 177, pp. 106849-106849
Closed Access | Times Cited: 8
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
Jing Wang, Jiangyun Li, Chen Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 5463-5471
Open Access | Times Cited: 6
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
Ahmed Agiza, Marina Neseem, Sherief Reda
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 16196-16205
Closed Access | Times Cited: 6
A Survey of Robot Intelligence with Large Language Models
Hyeongyo Jeong, Haechan Lee, Changwon Kim, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8868-8868
Open Access | Times Cited: 6
A Medical Diagnostic Assistant Based on LLM
Chengyan Wu, Zehong Lin, Wenlong Fang, et al.
Communications in computer and information science (2024), pp. 135-147
Closed Access | Times Cited: 5
Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers
Negar Arabzadeh, Amin Bigdeli, Charles L. A. Clarke
Lecture notes in computer science (2024), pp. 399-414
Closed Access | Times Cited: 4
Expansive data, extensive model: Investigating discussion topics around LLM through unsupervised machine learning in academic papers and news
Hae Sun Jung, Haein Lee, Young Seok Woo, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0304680-e0304680
Open Access | Times Cited: 4
The Evolution of Large Language Model: Models, Applications and Challenges
B Sindhu, R P Prathamesh, M B Sameera, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 4
Knowledge-Based and Generative-AI-Driven Pedagogical Conversational Agents: A Comparative Study of Grice’s Cooperative Principles and Trust
Matthias Wölfel, Mehrnoush Barani Shirzad, Andreas Reich, et al.
Big Data and Cognitive Computing (2023) Vol. 8, Iss. 1, pp. 2-2
Open Access | Times Cited: 11
Large scale foundation models for intelligent manufacturing applications: a survey
Haotian Zhang, Stuart Dereck Semujju, Zhicheng Wang, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
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