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:

Text Embeddings Reveal (Almost) As Much As Text
John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 12448-12460
Open Access | Times Cited: 14

Showing 14 citing articles:

AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways
Zehang Deng, Yongjian Guo, Changzhou Han, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 6

No Free Lunch Theorem for Privacy-Preserving LLM Inference
Xiaojin Zhang, Yunze Pang, Yan Kang, et al.
Artificial Intelligence (2025), pp. 104293-104293
Open Access | Times Cited: 1

Context Embeddings for Efficient Answer Generation in Retrieval-Augmented Generation
David Rau, Shuai Wang, Hervé Déjean, et al.
(2025), pp. 493-502
Closed Access | Times Cited: 1

Semantic Analysis of test items through Large Language Model embeddings predicts a-priori factorial structure of personality tests
Nicola Milano, Maria Luongo, Michela Ponticorvo, et al.
Current Research in Behavioral Sciences (2025), pp. 100168-100168
Open Access

Towards a latent space cartography of subjective experience in mental health
Shawn Manuel, Jean Gagnon, Frédéric Gosselin, et al.
Psychiatry and Clinical Neurosciences (2025)
Open Access

Towards Intent-Driven Transparency in Conversational Search Systems
Yumeng Wang
Lecture notes in computer science (2025), pp. 233-239
Closed Access

Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
Qi Liu, Bo Wang, Nan Wang, et al.
(2025), pp. 4274-4283
Closed Access

Exploring Empty Spaces: Human-in-the-Loop Data Augmentation
Catherine Yeh, Donghao Ren, Yannick Assogba, et al.
(2025), pp. 1-19
Closed Access

The Overlooked Dark Side of Generative AI in Nursing: An International Think Tank's Perspective
Maxim Topaz, L. Peltonen, Martin Michalowski, et al.
Journal of Nursing Scholarship (2025)
Closed Access

Self-explanatory and Retrieval-augmented LLMs for Financial Sentiment Analysis
Filippo Pallucchini, Xulang Zhang, Rui Mao, et al.
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (2025), pp. 131-137
Closed Access

Reverse stable diffusion: What prompt was used to generate this image?
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, et al.
Computer Vision and Image Understanding (2024), pp. 104210-104210
Open Access | Times Cited: 2

From Attacker's Eyes: Preventing Attribute Privacy Leakage in User Behavior Data
Defu Lian, Chenwang Wu, Yong Ge, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1

Between This and That is It: Embodied Semantic Space at the Edge
Antoni Rayzhekov, Martin Murer
(2024), pp. 1-4
Closed Access

Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval Systems
Shengyao Zhuang, Bevan Koopman, Xiaoran Chu, et al.
(2024), pp. 259-268
Open Access

4bit-Quantization in Vector-Embedding for RAG
Taehee Jeong
(2024), pp. 1037-1042
Closed Access

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