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:

Efficient Few-Shot Fine-Tuning for Opinion Summarization
Arthur Bražinskas, Ramesh Nallapati, Mohit Bansal, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022), pp. 1509-1523
Open Access | Times Cited: 11

Showing 11 citing articles:

Unsupervised extractive opinion summarization based on text simplification and sentiment guidance
Rui Wang, Tian Lan, Zufeng Wu, et al.
Expert Systems with Applications (2025), pp. 126760-126760
Closed Access

LLM Fine-Tuning: Concepts, Opportunities, and Challenges
Xiao-Kun Wu, Min Chen, Wanyi Li, et al.
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 4, pp. 87-87
Open Access

Airline reviews processing: Abstractive summarization and rating-based sentiment classification using deep transfer learning
Ayesha Ayub Syed, Ford Lumban Gaol, Alfred Boediman, et al.
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 2, pp. 100238-100238
Open Access | Times Cited: 3

Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation
Qi Zeng, M. Sidhu, Ansel Blume, et al.
Lecture notes in computer science (2025), pp. 20-38
Closed Access

OpineSum: Entailment-based self-training for abstractive opinion summarization
Annie Louis, Joshua Maynez
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 10774-10790
Open Access | Times Cited: 5

To Adapt or to Fine-Tune: A Case Study on Abstractive Summarization
Zheng Zhao, Pinzhen Chen
Lecture notes in computer science (2022), pp. 133-146
Closed Access | Times Cited: 3

Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization
Ming Shen, Jie Ma, Shuai Wang, et al.
(2023), pp. 1898-1911
Open Access | Times Cited: 1

Active Learning: Encoder-Decoder-Outlayer and Vector Space Diversification Sampling
Hongyi Zeng, Fanyi Kong
Mathematics (2023) Vol. 11, Iss. 13, pp. 2819-2819
Open Access

Multi Document Summarization Evaluation in the Presence of Damaging Content
Avshalom Manevich, David Carmel, Nachshon Cohen, et al.
(2023), pp. 1-12
Open Access

Incorporating Rating: Abstractive Summarization of Review Sentences Considering Rating
Yuta Yamada, Katsuhide Fuiita
(2023), pp. 242-247
Closed Access

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