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 26-50 of 721 citing articles:

The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions
Hani Sami, Ahmad Hammoud, Mohamad Arafeh, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 4, pp. 2914-2960
Closed Access | Times Cited: 18

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation
Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, et al.
(2019)
Open Access | Times Cited: 140


Amit Moryossef, Yoav Goldberg, Ido Dagan
(2019), pp. 2267-2277
Closed Access | Times Cited: 135

Data-to-text Generation with Entity Modeling
Ratish Puduppully, Li Dong, Mirella Lapata
(2019)
Open Access | Times Cited: 119

Few-Shot NLG with Pre-Trained Language Model
Zhiyu Chen, Harini Eavani, Wenhu Chen, et al.
(2020), pp. 183-190
Open Access | Times Cited: 113

Human evaluation of automatically generated text: Current trends and best practice guidelines
Chris van der Lee, Albert Gatt, Emiel van Miltenburg, et al.
Computer Speech & Language (2020) Vol. 67, pp. 101151-101151
Open Access | Times Cited: 111

Findings of the E2E NLG Challenge
Ondřej Dušek, Jekaterina Novikova, Verena Rieser
(2018), pp. 322-328
Open Access | Times Cited: 100

Neural data-to-text generation: A comparison between pipeline and end-to-end architectures
Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, et al.
(2019), pp. 552-562
Open Access | Times Cited: 100

Long and Diverse Text Generation with Planning-based Hierarchical Variational Model
Shao Zhi-hong, Minlie Huang, Jiangtao Wen, et al.
(2019), pp. 3255-3266
Open Access | Times Cited: 92

Conversational Agents: Goals, Technologies, Vision and Challenges
Merav Allouch, Amos Azaria, Rina Azoulay
Sensors (2021) Vol. 21, Iss. 24, pp. 8448-8448
Open Access | Times Cited: 92

Data-Driven News Generation for Automated Journalism
Leo Leppänen, Myriam Munezero, Mark Granroth-Wilding, et al.
(2017)
Open Access | Times Cited: 90

GLUCOSE: GeneraLized and COntextualized Story Explanations
Nasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, et al.
(2020)
Open Access | Times Cited: 85

Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings
Sarik Ghazarian, Johnny Tian-Zheng Wei, Aram Galstyan, et al.
(2019)
Open Access | Times Cited: 84

Abstract Meaning Representation for Multi-Document Summarization
Kexin Liao, Logan Lebanoff, Fei Liu
arXiv (Cornell University) (2018)
Open Access | Times Cited: 83

A survey on text generation using generative adversarial networks
Gustavo Henrique de Rosa, João Paulo Papa
Pattern Recognition (2021) Vol. 119, pp. 108098-108098
Open Access | Times Cited: 83

Analyzing Differentiable Fuzzy Logic Operators
Emile van Krieken, Erman Acar, Frank van Harmelen
Artificial Intelligence (2021) Vol. 302, pp. 103602-103602
Open Access | Times Cited: 73

Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods
Aditya Mogadala, Marimuthu Kalimuthu, Dietrich Klakow
Journal of Artificial Intelligence Research (2021) Vol. 71, pp. 1183-1317
Open Access | Times Cited: 69

Spoken language interaction with robots: Recommendations for future research
Matthew Marge, Carol Espy-Wilson, Nigel G. Ward, et al.
Computer Speech & Language (2021) Vol. 71, pp. 101255-101255
Open Access | Times Cited: 66

Generative Pre-Trained Transformer for Design Concept Generation: An Exploration
Qi Zhu, Jianxi Luo
Proceedings of the Design Society (2022) Vol. 2, pp. 1825-1834
Open Access | Times Cited: 51

Knowledge Enhanced Graph Neural Networks for Explainable Recommendation
Ziyu Lyu, Yue Wu, Junjie Lai, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 40

A Systematic Literature Review on Text Generation Using Deep Neural Network Models
Noureen Fatima, Ali Shariq Imran, Zenun Kastrati, et al.
IEEE Access (2022) Vol. 10, pp. 53490-53503
Open Access | Times Cited: 37

Deep Generative Models for Synthetic Data: A Survey
Peter Eigenschink, Thomas Reutterer, Stefan Vamosi, et al.
IEEE Access (2023) Vol. 11, pp. 47304-47320
Open Access | Times Cited: 31

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