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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:

Evaluating Verifiability in Generative Search Engines
Nelson F. Liu, Tianyi Zhang, Percy Liang
(2023)
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Opportunities and challenges for ChatGPT and large language models in biomedicine and health
Shubo Tian, Qiao Jin, Lana Yeganova, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 150
Benchmarking Large Language Models in Retrieval-Augmented Generation
Jiawei Chen, Hongyu Lin, Xianpei Han, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 17754-17762
Open Access | Times Cited: 62
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
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
Recent Advances in Large Language Models for Healthcare
Khalid Nassiri, Moulay A. Akhloufi
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 1097-1143
Open Access | Times Cited: 21
A Comparative Analysis of Generative Artificial Intelligence Tools for Natural Language Processing
Aamo Iorliam, Joseph Abunimye Ingio
Journal of Computing Theories and Applications (2024) Vol. 1, Iss. 3, pp. 311-325
Open Access | Times Cited: 18
Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross‐Sectional Investigation
Emre Sezgın, D Jackson, A. Baki Kocaballı, et al.
Cancer Medicine (2025) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Factuality challenges in the era of large language models and opportunities for fact-checking
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 8, pp. 852-863
Closed Access | Times Cited: 13
Right to be forgotten in the Era of large language models: implications, challenges, and solutions
Dawen Zhang, Pamela Finckenberg-Broman, Thong Hoang, et al.
AI and Ethics (2024)
Open Access | Times Cited: 10
LM vs LM: Detecting Factual Errors via Cross Examination
Roi Cohen, May Hamri, Mor Geva, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 19
Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks
Alon Jacovi, Avi Caciularu, Omer Goldman, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 5075-5084
Open Access | Times Cited: 17
Automatic Evaluation of Attribution by Large Language Models
Xiang Yue, Boshi Wang, Ziru Chen, et al.
(2023)
Open Access | Times Cited: 14
Contrasting Linguistic Patterns in Human and LLM-Generated News Text
Alberto Muñoz-Ortiz, Carlos Gómez‐Rodríguez, David Vilares
Research Square (Research Square) (2024)
Open Access | Times Cited: 4
Unveiling ambiguity: ChatGPT vs. human writing
Bill X. Hu
Applied Economics Letters (2025), pp. 1-9
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
Artificial Intelligence in key pricing, reimbursement and market access (PRMA) processes: better, faster, cheaper - can you really pick two?
Eva Susanne Dietrich
Journal of Medical Economics (2025), pp. 1-19
Open Access
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools
Jingwei Ni, Julia Bingler, Chiara Colesanti-Senni, et al.
(2023)
Open Access | Times Cited: 11
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
Sina J. Semnani, Violet Yao, Heidi Zhang, et al.
(2023)
Open Access | Times Cited: 11
Credible without Credit: Domain Experts Assess Generative Language Models
Denis Peskoff, Brandon Stewart
(2023)
Open Access | Times Cited: 10
Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant
Kang Cheng, Daniel Novák, Katerina Urbanova, et al.
(2024), pp. 351-355
Open Access | Times Cited: 3
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
A Question and Answering Service of Typhoon Disasters Based on the T5 Large Language Model
Yongqi Xia, Yi Huang, Qianqian Qiu, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 5, pp. 165-165
Open Access | Times Cited: 2
Contrasting Linguistic Patterns in Human and LLM-Generated News Text
Alberto Muñoz-Ortiz, Carlos Gómez‐Rodríguez, David Vilares
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 2
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators
Chen Liang, Yang Deng, Yatao Bian, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 6325-6341
Open Access | Times Cited: 6
Humanidades e Ciências Sociais: Perspectivas Teóricas, Metodológicas e de Investigação II
Luís Fernando González Beltrán
Editora Artemis eBooks (2023)
Open Access | Times Cited: 5
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