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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:

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
Albert Gatt, Emiel Krahmer
Journal of Artificial Intelligence Research (2018) Vol. 61, pp. 65-170
Open Access | Times Cited: 721

Showing 1-25 of 721 citing articles:

A Survey of the Usages of Deep Learning for Natural Language Processing
Daniel W. Otter, Julian Richard Medina, Jugal Kalita
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 2, pp. 604-624
Open Access | Times Cited: 1427
Attention in Natural Language Processing
Andrea Galassi, Marco Lippi, Paolo Torroni
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 10, pp. 4291-4308
Open Access | Times Cited: 500
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
Wei Zhao, Maxime Peyrard, Fei Liu, et al.
(2019)
Open Access | Times Cited: 417
Data-to-Text Generation with Content Selection and Planning
Ratish Puduppully, Li Dong, Mirella Lapata
Proceedings of the AAAI Conference on Artificial Intelligence (2019) Vol. 33, Iss. 01, pp. 6908-6915
Open Access | Times Cited: 271
A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence
Ilia Stepin, José M. Alonso, Alejandro Català, et al.
IEEE Access (2021) Vol. 9, pp. 11974-12001
Open Access | Times Cited: 268
Evaluation of Text Generation: A Survey
Aslı Çelikyılmaz, Elizabeth Clark, Jianfeng Gao
arXiv (Cornell University) (2020)
Open Access | Times Cited: 199
Strategies for Structuring Story Generation
Angela Fan, Mike Lewis, Yann Dauphin
(2019), pp. 2650-2660
Open Access | Times Cited: 192
Abstractive summarization: An overview of the state of the art
Som Gupta, Sonal Gupta
Expert Systems with Applications (2018) Vol. 121, pp. 49-65
Closed Access | Times Cited: 189
A Survey of Knowledge-enhanced Text Generation
Wenhao Yu, Chenguang Zhu, Zaitang Li, et al.
ACM Computing Surveys (2022) Vol. 54, Iss. 11s, pp. 1-38
Open Access | Times Cited: 180
Multi-hop Reading Comprehension through Question Decomposition and Rescoring
Sewon Min, Victor W. Zhong, Luke Zettlemoyer, et al.
(2019)
Open Access | Times Cited: 178
Content Selection in Deep Learning Models of Summarization
Chris Kedzie, Kathleen McKeown, Hal Daumé
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2018), pp. 1818-1828
Open Access | Times Cited: 178
Best practices for the human evaluation of automatically generated text
Chris van der Lee, Albert Gatt, Emiel van Miltenburg, et al.
(2019), pp. 355-368
Open Access | Times Cited: 172
Medical deep learning—A systematic meta-review
Jan Egger, Christina Gsaxner, Antonio Pepe, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106874-106874
Open Access | Times Cited: 169
Evaluating the state-of-the-art of End-to-End Natural Language Generation: The E2E NLG challenge
Ondřej Dušek, Jekaterina Novikova, Verena Rieser
Computer Speech & Language (2019) Vol. 59, pp. 123-156
Open Access | Times Cited: 151
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, et al.
(2021)
Open Access | Times Cited: 151
Federated Learning via Intelligent Reflecting Surface
Zhibin Wang, Jiahang Qiu, Yong Zhou, et al.
IEEE Transactions on Wireless Communications (2021) Vol. 21, Iss. 2, pp. 808-822
Closed Access | Times Cited: 143
A Survey of Natural Language Generation
Chenhe Dong, Yinghui Li, Haifan Gong, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 8, pp. 1-38
Open Access | Times Cited: 92
Exploring the Benefits and Challenges of AI-Language Learning Tools
Roxana Rebolledo Font de la Vall, Fabián Avelino González Araya
The International Journal of Social Sciences and Humanities Invention (2023) Vol. 10, Iss. 01, pp. 7569-7576
Open Access | Times Cited: 79
Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
IEEE Access (2023) Vol. 11, pp. 70977-71002
Open Access | Times Cited: 75
A survey on XAI and natural language explanations
Erik Cambria, Lorenzo Malandri, Fabio Mercorio, et al.
Information Processing & Management (2022) Vol. 60, Iss. 1, pp. 103111-103111
Closed Access | Times Cited: 73
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text
Sebastian Gehrmann, Elizabeth A. Clark, Thibault Sellam
Journal of Artificial Intelligence Research (2023) Vol. 77, pp. 103-166
Open Access | Times Cited: 69
Detecting AI-generated essays: the ChatGPT challenge
Ilker Cingillioglu
International Journal of Information and Learning Technology (2023) Vol. 40, Iss. 3, pp. 259-268
Closed Access | Times Cited: 68
NLP techniques for automating responses to customer queries: a systematic review
Peter Adebowale Olujimi, Abejide Ade-Ibijola
Discover Artificial Intelligence (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 52
Artificial intelligence for health message generation: an empirical study using a large language model (LLM) and prompt engineering
Sue Lim, Ralf Schmälzle
Frontiers in Communication (2023) Vol. 8
Open Access | Times Cited: 43
AI for social science and social science of AI: A survey
R. F. Xu, Yingfei Sun, Mengjie Ren, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103665-103665
Open Access | Times Cited: 29
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