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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:

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
Qidong Liu, Xian Wu, Xiangyu Zhao, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1104-1114
Open Access | Times Cited: 18

Showing 18 citing articles:

Large language models for generative information extraction: a survey
Derong Xu, Wei Chen, Wenjun Peng, et al.
Frontiers of Computer Science (2024) Vol. 18, Iss. 6
Open Access | Times Cited: 35
Geospatial large language model trained with a simulated environment for generating tool-use chains autonomously
Yifan Zhang, Jingxuan Li, Zhiyun Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2024), pp. 104312-104312
Open Access | Times Cited: 4
Effective test-time personalization for federated semantic segmentation
Haotian Chen, Yonghui Xu, Yanyu Xu, et al.
Expert Systems with Applications (2025), pp. 126642-126642
Closed Access
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
Jingtong Gao, Z. Z. Du, Xiaopeng Li, et al.
(2025)
Open Access
The fine art of fine-tuning: A structured review of advanced LLM fine-tuning techniques
Samar Pratap, Alston Richard Aranha, Dinesh Kumar, et al.
Natural Language Processing Journal (2025), pp. 100144-100144
Open Access
Benchmarking pathology foundation models: Adaptation strategies and scenarios
Jaeung Lee, Ji Hyoun Lim, Keunho Byeon, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 110031-110031
Open Access
Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph
Yutong Zhang, Lixing Chen, Shenghong Li, et al.
(2025), pp. 1996-2007
Closed Access
Industrial applications of large language models
Mubashar Raza, Zarmina Jahangir, Muhammad Bilal Riaz, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Behavior Modeling Space Reconstruction for E-Commerce Search
Yejing Wang, Chi Zhang, Xiangyu Zhao, et al.
(2025), pp. 1683-1692
Closed Access
A survey on LoRA of large language models
Yuren Mao, Yiping Ge, Yijiang Fan, et al.
Frontiers of Computer Science (2024) Vol. 19, Iss. 7
Open Access | Times Cited: 3
The Evolution of Mixture of Experts: A Survey from Basics to Breakthroughs
A. Vats, Rahul Raja, Vinija Jain, et al.
(2024)
Open Access | Times Cited: 2
Multi-LoRA Fine-Tuned Segment Anything Model for Urban Man-Made Object Extraction
Xiaoyan Lu, Qihao Weng
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-19
Closed Access | Times Cited: 2
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
Derong Xu, Ziheng Zhang, Zhihong Zhu, et al.
(2024), pp. 2660-2670
Open Access | Times Cited: 2
The Evolution of Mixture of Experts: A Survey from Basics to Breakthroughs
A. Vats, Rahul Raja, Vinija Jain, et al.
(2024)
Open Access | Times Cited: 1
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
Yuhao Wang, Yichao Wang, Zichuan Fu, et al.
(2024), pp. 2472-2481
Open Access | Times Cited: 1
Efficient Biomedical Text Summarization With Quantized LLaMA 2: Enhancing Memory Usage and Inference on Low Powered Devices
Sanjeev Kumar, Vikas Ranjan, A. Chakrabarti, et al.
Expert Systems (2024)
Closed Access | Times Cited: 1
Efficient Biomedical Text Summarization with Quantized LLAMA 2: Enhancing Memory Usage and Inference on Low Powered Devices
Sanjeev Kumar, Vikas Ranjan, A. Chakrabarti, et al.
Authorea (Authorea) (2024)
Open Access
Multi-Granularity Modeling in Recommendation: from the Multi-Scenario Perspective
Yuhao Wang
(2024), pp. 5491-5494
Closed Access
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation
Meilu Zhu, Axiu Mao, Jun Liu, et al.
(2024)
Open Access
AI Act for the Working Programmer
Holger Hermanns, Anne Lauber-Rönsberg, Philip Meinel, et al.
Lecture notes in computer science (2024), pp. 74-98
Closed Access
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