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:

MEGA: Multilingual Evaluation of Generative AI
Kabir Ahuja, Harshita Diddee, Rishav Hada, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 46

Showing 1-25 of 46 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

Generative AI and ChatGPT in School Children’s Education: Evidence from a School Lesson
Jussi S. Jauhiainen, Agustín Garagorry Guerra
Sustainability (2023) Vol. 15, Iss. 18, pp. 14025-14025
Open Access | Times Cited: 83

Lensing Legal Dynamics for Examining Responsibility and Deliberation of Generative AI-Tethered Technological Privacy Concerns
Bhupinder Singh
Advances in computational intelligence and robotics book series (2024), pp. 146-167
Closed Access | Times Cited: 74

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 51

A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets
Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 49

Generative artificial intelligence: a systematic review and applications
Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar, et al.
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 33

Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models
Zichao Lin, Shuyan Guan, Wending Zhang, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 15

LLM-powered Data Augmentation for Enhanced Cross-lingual Performance
Chenxi Whitehouse, Monojit Choudhury, Alham Aji
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 29

Empowering the Faculty of Education Students: Applying AI’s Potential for Motivating and Enhancing Learning
Amr M. Mohamed, Tahany S. Shaaban, Sameh H. Bakry, et al.
Innovative Higher Education (2024)
Open Access | Times Cited: 9

Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting
Haoyang Huang, Tianyi Tang, Dongdong Zhang, et al.
(2023), pp. 12365-12394
Open Access | Times Cited: 19

ChatGPT for Text Annotation? Mind the Hype!
Étienne Ollion, Rubing Shen, Ana Macanovic, et al.
(2023)
Open Access | Times Cited: 14

Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models
Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 9904-9923
Open Access | Times Cited: 13

Investigating the role of large language models on questions about refractive surgery
Süleyman Demir
International Journal of Medical Informatics (2025) Vol. 195, pp. 105787-105787
Closed Access

Overviewing Biases in Generative AI-Powered Models in the Arabic Language
Mussa Saidi Abubakari
Advances in computational intelligence and robotics book series (2025), pp. 361-390
Closed Access

Harnessing large language models over transformer models for detecting Bengali depressive social media text: A comprehensive study
A. K. Azad Chowdhury, Saidur Rahman Sujon, Md. Shirajus Salekin Shafi, et al.
Natural Language Processing Journal (2024) Vol. 7, pp. 100075-100075
Open Access | Times Cited: 4

Towards evaluating and building versatile large language models for medicine
Chaoyi Wu, Pengcheng Qiu, J Liu, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access

Is ChatGPT Ready for Indian-Language Speakers? Findings From a Preliminary Mixed Methods Study
C. R. Chaitra, Prajna Upadhyay, Dipanjan Chakraborty
Communications in computer and information science (2025), pp. 193-214
Closed Access

Evaluating ChatGPT and Bard AI on Arabic Sentiment Analysis
Abdulmohsen Al-Thubaity, Sakhar Alkhereyf, Hanan S. Murayshid, et al.
(2023)
Open Access | Times Cited: 9

A survey on multi-lingual offensive language detection
Khouloud Mnassri, Reza Farahbakhsh, Razieh Chalehchaleh, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1934-e1934
Open Access | Times Cited: 2

Evaluating Large Language Models on Controlled Generation Tasks
Jiao Sun, Yufei Tian, Wangchunshu Zhou, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 6

Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models
Raghav Jain, Daivik Sojitra, A. Seetharama Acharya, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 6750-6774
Open Access | Times Cited: 5

Artificial Intelligence Healthcare Chatbot System (Medimate-AI)
Safwan Bebal, Muzakkir Siddique, Nazneen Pinjari, et al.
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 534-541
Open Access | Times Cited: 1

Quality achhi hai (is good), satisfied! Towards aspect based sentiment analysis in code-mixed language
Mamta Mamta, Asif Ekbal
Computer Speech & Language (2024) Vol. 89, pp. 101668-101668
Closed Access | Times Cited: 1

Advancing artificial intelligence in fisheries requires novel cross-sector collaborations
Kate Wing, Benjamin Woodward
ICES Journal of Marine Science (2024) Vol. 81, Iss. 10, pp. 1912-1919
Open Access | Times Cited: 1

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