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:

Align-then-abstract representation learning for low-resource summarization
Gianluca Moro, Luca Ragazzi
Neurocomputing (2023) Vol. 548, pp. 126356-126356
Open Access | Times Cited: 11

Showing 11 citing articles:

Sentence salience contrastive learning for abstractive text summarization
Ying Huang, Zhixin Li, Zhenbin Chen, et al.
Neurocomputing (2024) Vol. 593, pp. 127808-127808
Closed Access | Times Cited: 6

Applicability of large language models and generative models for legal case judgement summarization
Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh
Artificial Intelligence and Law (2024)
Closed Access | Times Cited: 6

LAWSUIT: a LArge expert-Written SUmmarization dataset of ITalian constitutional court verdicts
Luca Ragazzi, Gianluca Moro, Stefano Guidi, et al.
Artificial Intelligence and Law (2024)
Open Access | Times Cited: 4

Abstractive text summarization using deep learning models: a survey
Mustafa Abdul Salam, Mostafa Gamal, Hesham F. A. Hamed, et al.
International Journal of Data Science and Analytics (2025)
Closed Access

Multi-language transfer learning for low-resource legal case summarization
Gianluca Moro, Nicola Piscaglia, Luca Ragazzi, et al.
Artificial Intelligence and Law (2023) Vol. 32, Iss. 4, pp. 1111-1139
Open Access | Times Cited: 9

A comprehensive survey for automatic text summarization: Techniques, approaches and perspectives
Mengqi Luo, Bowen Xue, Ben Niu
Neurocomputing (2024) Vol. 603, pp. 128280-128280
Closed Access | Times Cited: 2

Graph-Based Abstractive Summarization of Extracted Essential Knowledge for Low-Resource Scenarios
Gianluca Moro, Luca Ragazzi, Lorenzo Valgimigli
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 5

Retrieve-and-Rank End-to-End Summarization of Biomedical Studies
Gianluca Moro, Luca Ragazzi, Lorenzo Valgimigli, et al.
Lecture notes in computer science (2023), pp. 64-78
Closed Access | Times Cited: 3

Cross-Document Distillation via Graph-based Summarization of Extracted Essential Knowledge
Luca Ragazzi, Gianluca Moro, Lorenzo Valgimigli, et al.
IEEE Transactions on Audio Speech and Language Processing (2024) Vol. 33, pp. 518-527
Open Access

Boosting multi-document summarization with hierarchical graph convolutional networks
Yingjie Song, Yang Li, Wei Luo, et al.
Neurocomputing (2024) Vol. 614, pp. 128753-128753
Closed Access

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