
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:
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
Jinpeng Hu, Zhuo Li, Zhihong Chen, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 32
Jinpeng Hu, Zhuo Li, Zhihong Chen, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 32
Showing 26-50 of 32 citing articles:
Towards Understanding Consumer Healthcare Questions on the Web with Semantically Enhanced Contrastive Learning
Shweta Yadav, Ștefan Cobeli, Cornelia Caragea
Proceedings of the ACM Web Conference 2022 (2023), pp. 1773-1783
Closed Access
Shweta Yadav, Ștefan Cobeli, Cornelia Caragea
Proceedings of the ACM Web Conference 2022 (2023), pp. 1773-1783
Closed Access
Chatgpt Based Contrastive Learning for Radiology Report Summarization
Zuowei Jiang, Mingyang Wang, Xiaoyan Cai, et al.
(2023)
Closed Access
Zuowei Jiang, Mingyang Wang, Xiaoyan Cai, et al.
(2023)
Closed Access
Automatic Personalized Impression Generation for PET Reports Using Large Language Models
Xin Tie, Muheon Shin, Ali Pirasteh, et al.
arXiv (Cornell University) (2023)
Open Access
Xin Tie, Muheon Shin, Ali Pirasteh, et al.
arXiv (Cornell University) (2023)
Open Access
Gcsum: Boosting Informativeness and Factual Consistency of Abstractive Summarization with Semantic Graph and Contrastive Learning
Qiong Nong, Xuan Zhang, Zhi Jin, et al.
(2023)
Closed Access
Qiong Nong, Xuan Zhang, Zhi Jin, et al.
(2023)
Closed Access
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis
Jan Trienes, Paul Youssef, Jörg Schlötterer, et al.
(2023), pp. 176-195
Open Access
Jan Trienes, Paul Youssef, Jörg Schlötterer, et al.
(2023), pp. 176-195
Open Access
AuxPOS: Improving Grammatical Correctness with Big Data Based Text Summarization
Rui Zhang, Jianjun Yu, Yuanchun Zhou
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 1192-1201
Closed Access
Rui Zhang, Jianjun Yu, Yuanchun Zhou
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 1192-1201
Closed Access
Patient Information Summarization in Clinical Settings: Scoping Review (Preprint)
Daniel Keszthelyi, Christophe Gaudet-Blavignac, Mina Bjelogrlic, et al.
(2022)
Open Access
Daniel Keszthelyi, Christophe Gaudet-Blavignac, Mina Bjelogrlic, et al.
(2022)
Open Access