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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:

Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, et al.
ACM/IMS Transactions on Data Science (2021) Vol. 2, Iss. 1, pp. 1-37
Open Access | Times Cited: 156

Showing 1-25 of 156 citing articles:

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: 173
Adapted large language models can outperform medical experts in clinical text summarization
Dave Van Veen, Cara Van Uden, Louis Blankemeier, et al.
Nature Medicine (2024) Vol. 30, Iss. 4, pp. 1134-1142
Open Access | Times Cited: 163
Deep reinforcement and transfer learning for abstractive text summarization: A review
Ayham Alomari, Norisma Idris, Aznul Qalid Md Sabri, et al.
Computer Speech & Language (2021) Vol. 71, pp. 101276-101276
Closed Access | Times Cited: 108
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts
Dave Van Veen, Cara Van Uden, Louis Blankemeier, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 43
A comprehensive survey of loss functions and metrics in deep learning
Juan Terven, Diana‐Margarita Córdova‐Esparza, Julio-Alejandro Romero-González, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 7
Open Access | Times Cited: 2
Transformer models used for text-based question answering systems
Khalid Nassiri, Moulay A. Akhloufi
Applied Intelligence (2022) Vol. 53, Iss. 9, pp. 10602-10635
Closed Access | Times Cited: 69
An Empirical Survey on Long Document Summarization: Datasets, Models, and Metrics
Huan Yee Koh, Jiaxin Ju, Ming Liu, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 8, pp. 1-35
Open Access | Times Cited: 64
Extractive text summarization using deep learning approach
Arun Kumar Yadav, Amit Prakash Singh, Mayank Dhiman, et al.
International Journal of Information Technology (2022) Vol. 14, Iss. 5, pp. 2407-2415
Closed Access | Times Cited: 56
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: 38
Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning
Erkut Erdem, Menekşe Kuyu, Semih Yagcioglu, et al.
Journal of Artificial Intelligence Research (2022) Vol. 73, pp. 1131-1207
Open Access | Times Cited: 35
Time Waits for No One! Analysis and Challenges of Temporal Misalignment
Kelvin Luu, Daniel Khashabi, Suchin Gururangan, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 30
Novel target attention convolutional neural network for relation classification
Zhiqiang Geng, Junmin Li, Yongming Han, et al.
Information Sciences (2022) Vol. 597, pp. 24-37
Closed Access | Times Cited: 30
An Extractive-and-Abstractive Framework for Source Code Summarization
Weisong Sun, Chunrong Fang, Yuchen Chen, et al.
ACM Transactions on Software Engineering and Methodology (2023) Vol. 33, Iss. 3, pp. 1-39
Open Access | Times Cited: 18
ConceptEVA: Concept-Based Interactive Exploration and Customization of Document Summaries
Xiaoyu Zhang, Jianping Kelvin Li, Po-Wei Chi, et al.
(2023), pp. 1-16
Open Access | Times Cited: 15
A systematic literature review of deep learning-based text summarization: Techniques, input representation, training strategies, mechanisms, datasets, evaluation, and challenges
Marwa E. Saleh, Yaser M. Wazery, Abdelmgeid A. Ali
Expert Systems with Applications (2024) Vol. 252, pp. 124153-124153
Closed Access | Times Cited: 5
Abstractive text summarization: State of the art, challenges, and improvements
Hassan Shakil, Ahmad Farooq, Jugal Kalita
Neurocomputing (2024) Vol. 603, pp. 128255-128255
Open Access | Times Cited: 5
A Review of Text Style Transfer Using Deep Learning
Martina Toshevska, Sonja Gievska
IEEE Transactions on Artificial Intelligence (2021) Vol. 3, Iss. 5, pp. 669-684
Open Access | Times Cited: 31
Qualitative Analysis of Text Summarization Techniques and Its Applications in Health Domain
Divakar Yadav, Naman Lalit, Riya Kaushik, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 21
Transformer-Based Abstractive Summarization for Reddit and Twitter: Single Posts vs. Comment Pools in Three Languages
Ivan S. Blekanov, Nikita Tarasov, Svetlana S. Bodrunova
Future Internet (2022) Vol. 14, Iss. 3, pp. 69-69
Open Access | Times Cited: 19
AttSum: A Deep Attention-Based Summarization Model for Bug Report Title Generation
Xiaoxue Ma, Jacky Keung, Xiao Yu, et al.
IEEE Transactions on Reliability (2023) Vol. 72, Iss. 4, pp. 1663-1677
Closed Access | Times Cited: 11
Extracting adverse drug events from clinical Notes: A systematic review of approaches used
Salisu Modi, Khairul Azhar Kasmiran, Nurfadhlina Mohd Sharef, et al.
Journal of Biomedical Informatics (2024) Vol. 151, pp. 104603-104603
Closed Access | Times Cited: 4
Automatic Summarization Evaluation: Methods and Practices
Héctor D. Menéndez, Aidan Dakhama
Lecture notes in computer science (2025), pp. 169-181
Closed Access
More is More: Addition Bias in Large Language Models
Luca Santagata, Cristiano De Nobili
Computers in Human Behavior Artificial Humans (2025), pp. 100129-100129
Open Access
Neural headline generation: A comprehensive survey
Han Ren, Xiaona Chang, Xia Li
Neurocomputing (2025), pp. 129633-129633
Closed Access
Local large language model‐assisted literature mining for on‐surface reactions
Juan Xiang, Yizhang Li, Xinyi Zhang, et al.
Materials Genome Engineering Advances (2025)
Open Access
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