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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:

One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Hongjin Su, Weijia Shi, Jungo Kasai, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

A survey of GPT-3 family large language models including ChatGPT and GPT-4
Katikapalli Subramanyam Kalyan
Natural Language Processing Journal (2023) Vol. 6, pp. 100048-100048
Open Access | Times Cited: 112
Precise Zero-Shot Dense Retrieval without Relevance Labels
Luyu Gao, Xueguang Ma, Jimmy Lin, et al.
(2023)
Open Access | Times Cited: 56
A tutorial on open-source large language models for behavioral science
Z. Hussain, Marcel Binz, Rui Mata, et al.
Behavior Research Methods (2024) Vol. 56, Iss. 8, pp. 8214-8237
Open Access | Times Cited: 11
ChatEDA: A Large Language Model Powered Autonomous Agent for EDA
Haoyuan Wu, Zhuolun He, Xinyun Zhang, et al.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2024) Vol. 43, Iss. 10, pp. 3184-3197
Open Access | Times Cited: 10
Task-aware Retrieval with Instructions
Akari Asai, Timo Schick, Patrick Lewis, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 21
Augmenting interpretable models with large language models during training
Chandan Singh, Armin Askari, Rich Caruana, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 17
Large Language Models for More Efficient Reporting of Hospital Quality Measures
Aaron Boussina, Rishivardhan Krishnamoorthy, Kimberly Quintero, et al.
NEJM AI (2024) Vol. 1, Iss. 11
Closed Access | Times Cited: 6
Unified Demonstration Retriever for In-Context Learning
Xiaonan Li, Kai Lv, Hang Yan, et al.
(2023)
Open Access | Times Cited: 15
WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models
John Giorgi, Augustin Toma, Ronald Xie, et al.
(2023)
Open Access | Times Cited: 14
ClusterLLM: Large Language Models as a Guide for Text Clustering
Yuwei Zhang, Zihan Wang, Jingbo Shang
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 14
Comparative Analysis of NLP-Based Models for Company Classification
Maryan Rizinski, Andrej Jankov, Vignesh Sankaradas, et al.
Information (2024) Vol. 15, Iss. 2, pp. 77-77
Open Access | Times Cited: 5
Radiology Report Annotation Using Generative Large Language Models: Comparative Analysis
Bayan Altalla’, Ashraf Ahmad, Layla Bitar, et al.
International Journal of Biomedical Imaging (2025) Vol. 2025, Iss. 1
Open Access
Semantic embeddings reveal and address taxonomic incommensurability in psychological measurement
Dirk U. Wulff, Rui Mata
Nature Human Behaviour (2025)
Open Access
Development and Prospective Implementation of a Large Language Model based System for Early Sepsis Prediction
Supreeth P. Shashikumar, Sina Mohammadi, Rishivardhan Krishnamoorthy, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Systematic Literature Review Langchain Proposed
Rakha Asyrofi, Mutia Rahmi Dewi, Muhammad Irfan Lutfhi, et al.
2022 International Electronics Symposium (IES) (2023), pp. 533-537
Closed Access | Times Cited: 11
(Chinavis 2024) TextLens: large language models-powered visual analytics enhancing text clustering
R. C. Peng, Yu Dong, Guan Li, et al.
Journal of Visualization (2025)
Closed Access
Data Brain: Streamlining Data Science with AI-Assisted Conversations
Santhakumar S. Krithik, V.Venkata Sai Aditya, K. Rajender Reddy, et al.
Communications in computer and information science (2025), pp. 212-221
Closed Access
mFollowIR: A Multilingual Benchmark for Instruction Following in Retrieval
Orion Weller, Benjamin Chang, Eugene Yang, et al.
Lecture notes in computer science (2025), pp. 295-310
Closed Access
Jina Embeddings V3: Multilingual Text Encoder with Low-Rank Adaptations
Saba Sturua, Isabelle Mohr, Mohammad Kalim Akram, et al.
Lecture notes in computer science (2025), pp. 123-129
Closed Access
Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval
Luo Ji, Fulai Guo, Titus Chen, et al.
Lecture notes in computer science (2025), pp. 284-293
Closed Access
A tutorial on open-source large language models for behavioral science
Z. Hussain, Marcel Binz, Rui Mata, et al.
(2023)
Open Access | Times Cited: 10
UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation
Daixuan Cheng, Shaohan Huang, Junyu Bi, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 12318-12337
Open Access | Times Cited: 9
RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums
Chancharik Mitra, Mihran Miroyan, Rishi K. Jain, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 21, pp. 23215-23223
Open Access | Times Cited: 3
Glitter or gold? Deriving structured insights from sustainability reports via large language models
Marco Bronzini, Carlo Nicolini, Bruno Lepri, et al.
EPJ Data Science (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Goal-Driven Explainable Clustering via Language Descriptions
Zihan Wang, Jingbo Shang, Ruiqi Zhong
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 7
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