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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:

Enabling Large Language Models to Generate Text with Citations
Tianyu Gao, H. W. Yen, Jiatong Yu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 48
Assessment of Pathology Domain-Specific Knowledge of ChatGPT and Comparison to Human Performance
Andrew Y. Wang, Sherman Lin, Christopher Tran, et al.
Archives of Pathology & Laboratory Medicine (2024) Vol. 148, Iss. 10, pp. 1152-1158
Open Access | Times Cited: 23
Tool learning with large language models: a survey
Changle Qu, Sunhao Dai, Xiaochi Wei, et al.
Frontiers of Computer Science (2025) Vol. 19, Iss. 8
Open Access | Times Cited: 1
AI Versus MD: Evaluating the surgical decision-making accuracy of ChatGPT-4
Deanna Palenzuela, John T. Mullen, Roy Phitayakorn
Surgery (2024) Vol. 176, Iss. 2, pp. 241-245
Closed Access | Times Cited: 6
Automatic Evaluation of Attribution by Large Language Models
Xiang Yue, Boshi Wang, Ziru Chen, et al.
(2023)
Open Access | Times Cited: 14
Establishing priorities for implementation of large language models in pathology and laboratory medicine
Simone Arvisais‐Anhalt, Steven L. Gonias, Sara G. Murray
Academic Pathology (2024) Vol. 11, Iss. 1, pp. 100101-100101
Open Access | Times Cited: 4
AppPoet: Large language model based android malware detection via multi-view prompt engineering
Weisheng Zhao, Juntao Wu, Zhaoyi Meng
Expert Systems with Applications (2024), pp. 125546-125546
Closed Access | Times Cited: 4
Retrieval Augmented Therapy Suggestion for Molecular Tumor Boards (Preprint)
Eliza Berman, Holly Sundberg Malek, Michael Bitzer, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e64364-e64364
Open Access
Fostering effective hybrid human-LLM reasoning and decision making
Andrea Passerini, Aryo Pradipta Gema, Pasquale Minervini, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
GeAR: Generation Augmented Retrieval
Haoyu Liu, Shaohan Huang, Jianfeng Liu, et al.
(2025)
Open Access
QUITO: Accelerating Long-Context Reasoning Through Query-Guided Context Compression
Wenshan Wang, Yihang Wang, Yixing Fan, et al.
Lecture notes in computer science (2025), pp. 136-148
Closed Access
A Claim Decomposition Benchmark for Long-Form Answer Verification
Zhihao Zhang, Yixing Fan, Ruqing Zhang, et al.
Lecture notes in computer science (2025), pp. 41-53
Closed Access
On the Capacity of Citation Generation by Large Language Models
Haili Qian, Yixing Fan, R. Zhang, et al.
Lecture notes in computer science (2025), pp. 109-123
Closed Access
HaluCheck: Explainable and verifiable automation for detecting hallucinations in LLM responses
Sangwoo Heo, Sungwook Son, Hyunwoo Park
Expert Systems with Applications (2025), pp. 126712-126712
Closed Access
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)
Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6523-6533
Open Access | Times Cited: 3
Synthetic data in biomedicine via generative artificial intelligence
Boris van Breugel, Tennison Liu, Dino Oglić, et al.
Nature Reviews Bioengineering (2024)
Closed Access | Times Cited: 3
The CLEF 2024 Monster Track: One Lab to Rule Them All
Nicola Ferro, Julio Gonzalo, Jussi Karlgren, et al.
Lecture notes in computer science (2024), pp. 11-18
Closed Access | Times Cited: 1
Physio: An LLM-Based Physiotherapy Advisor
Rúben Almeida, Hugo Sousa, Luís Filipe Cunha, et al.
Lecture notes in computer science (2024), pp. 189-193
Closed Access | Times Cited: 1
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims
Fengzhu Zeng, Wei Gao
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 334-354
Open Access | Times Cited: 1
Unifying Corroborative and Contributive Attributions in Large Language Models
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, et al.
(2024), pp. 665-683
Open Access | Times Cited: 1
Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model
Philipp zur Heiden, Sascha Kaltenpoth
HMD Praxis der Wirtschaftsinformatik (2024) Vol. 61, Iss. 4, pp. 911-926
Open Access | Times Cited: 1
Large Language Models are Catalyzing Chemistry Education
Yuanqi Du, Chenru Duan, Andres M. Bran, et al.
(2024)
Open Access | Times Cited: 1
QA-RAG: Leveraging Question and Answer-based Retrieved Chunk Re-Formatting for Improving Response Quality During Retrieval-augmented Generation
Kaushik Roy, Yuxin Zi, Chathurangi Shyalika, et al.
(2024)
Open Access | Times Cited: 1
Let stochastic parrots squawk: why academic journals should allow large language models to coauthor articles
Nicholas J. Abernethy
AI and Ethics (2024)
Closed Access | Times Cited: 1
Evaluating the Performance of Large Language Models in Predicting Diagnostics for Spanish Clinical Cases in Cardiology
J. Delaunay, J. Cusidó
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 61-61
Open Access | Times Cited: 1
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