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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:

Editing Large Language Models: Problems, Methods, and Opportunities
Yunzhi Yao, Peng Wang, Bozhong Tian, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 10222-10240
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Unifying Large Language Models and Knowledge Graphs: A Roadmap
Shirui Pan, Linhao Luo, Yufei Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 3580-3599
Closed Access | Times Cited: 297
Unifying Large Language Models and Knowledge Graphs: A Roadmap
Shirui Pan, Linhao Luo, Yufei Wang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 62
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: 61
Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies
Liangming Pan, Michael Saxon, Wenda Xu, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 484-506
Open Access | Times Cited: 17
When LLMs meet cybersecurity: a systematic literature review
Jie Zhang, H. Bu, Hui Wen, et al.
Cybersecurity (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 4
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: 37
Relphormer: Relational Graph Transformer for Knowledge Graph Representations
Zhen Bi, Siyuan Cheng, Jing Chen, et al.
Neurocomputing (2023) Vol. 566, pp. 127044-127044
Closed Access | Times Cited: 25
Evaluating the Ripple Effects of Knowledge Editing in Language Models
Roi Cohen, Eden Biran, Ori Yoran, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 283-298
Open Access | Times Cited: 15
Knowledge Editing for Large Language Models: A Survey
Song Wang, Yaochen Zhu, Haochen Liu, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 3, pp. 1-37
Open Access | Times Cited: 8
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: 8
Learning from models beyond fine-tuning
Hongling Zheng, Li Shen, Anke Tang, et al.
Nature Machine Intelligence (2025)
Closed Access | Times Cited: 1
Can We Edit Factual Knowledge by In-Context Learning?
Ce Zheng, Lei Li, Qingxiu Dong, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 17
The Future of Molecular Studies through the Lens of Large Language Models
Jinlu Zhang, Yin Fang, Xin Shao, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 563-566
Closed Access | Times Cited: 6
PMET: Precise Model Editing in a Transformer
Xiaopeng Li, Shasha Li, Shezheng Song, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 18564-18572
Open Access | Times Cited: 6
Editing Language Model-Based Knowledge Graph Embeddings
Siyuan Cheng, Ningyu Zhang, Bozhong Tian, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 17835-17843
Open Access | Times Cited: 6
Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings
Peng Wang, Xin Xie, Xiaohan Wang, et al.
Lecture notes in computer science (2023), pp. 111-122
Closed Access | Times Cited: 13
JiuZhou: open foundation language models and effective pre-training framework for geoscience
Zhou Chen, Ming Lin, Mingrun Zang, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access
Multi-MELO: Unified multimodal model editing with dynamic LoRA
Qin Chen, Jianghao Yin, Lang Yu, et al.
Expert Systems with Applications (2025), pp. 126766-126766
Closed Access
A Two-Stage Approach for Knowledge Editing in LLM
Hao Xiong, Wenbiao Shao, T. Yong-Jin Han, et al.
Communications in computer and information science (2025), pp. 387-397
Closed Access
Large Language Models
Rajan Kumar Gupta, Sanju Tiwari, Poonam Chaudhary
Lecture notes on data engineering and communications technologies (2025), pp. 81-102
Closed Access
Application of large language models in medicine
Fenglin Liu, Hongjian Zhou, 博司 熊谷, et al.
Nature Reviews Bioengineering (2025)
Closed Access
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
Zihan Zhang, Meng Fang, Ling Chen, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 8
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA
Lang Yu, Qin Chen, Zhou Jie, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 19449-19457
Open Access | Times Cited: 2
Adversarial attacks and defenses on text-to-image diffusion models: A survey
Chenyu Zhang, Mingwang Hu, Wenhui Li, et al.
Information Fusion (2024), pp. 102701-102701
Closed Access | Times Cited: 2
Managing the unknown in machine learning: Definitions, related areas, recent advances, and prospects
Marcos Barcina-Blanco, Jesús L. Lobo, Pablo G. Bringas, et al.
Neurocomputing (2024) Vol. 599, pp. 128073-128073
Open Access | Times Cited: 1
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