Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Improving automatic source code summarization via deep reinforcement learning
Yao Wan, Zhou Zhao, Min Yang, et al.
(2018), pp. 397-407
Open Access | Times Cited: 363

Showing 1-25 of 363 citing articles:

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu, Daya Guo, Shuo Ren, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 364
A Transformer-based Approach for Source Code Summarization
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.
(2020)
Open Access | Times Cited: 310
Improved Code Summarization via a Graph Neural Network
Alexander LeClair, Sakib Haque, Lingfei Wu, et al.
(2020), pp. 184-195
Open Access | Times Cited: 270
Retrieval-based neural source code summarization
Jian Zhang, Xu Wang, Hongyu Zhang, et al.
(2020), pp. 1385-1397
Closed Access | Times Cited: 207
DLFix
Yi Li, Shaohua Wang, Tien N. Nguyen
(2020)
Closed Access | Times Cited: 163
The Programmer’s Assistant: Conversational Interaction with a Large Language Model for Software Development
Steven Ross, Fernando Martinez, Stephanie Houde, et al.
(2023), pp. 491-514
Open Access | Times Cited: 128
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
Cody Watson, Nathan Cooper, David Nader Palacio, et al.
ACM Transactions on Software Engineering and Methodology (2022) Vol. 31, Iss. 2, pp. 1-58
Open Access | Times Cited: 86
No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence
Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, et al.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2022)
Open Access | Times Cited: 79
Large Language Models Meet NL2Code: A Survey
Daoguang Zan, Bei Chen, Fengji Zhang, et al.
(2023)
Open Access | Times Cited: 49
Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning
Mingyang Geng, Shangwen Wang, Dezun Dong, et al.
(2024), pp. 1-13
Open Access | Times Cited: 38
Multi-modal Attention Network Learning for Semantic Source Code Retrieval
Yao Wan, Jingdong Shu, Yulei Sui, et al.
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2019), pp. 13-25
Open Access | Times Cited: 142
Multi-task learning based pre-trained language model for code completion
Fang Liu, Ge Li, Yunfei Zhao, et al.
(2020), pp. 473-485
Open Access | Times Cited: 137
Structured Neural Summarization
Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt
arXiv (Cornell University) (2018)
Open Access | Times Cited: 127
Improving Code Search with Co-Attentive Representation Learning
Jianhang Shuai, Ling Xu, Chao Liu, et al.
(2020)
Closed Access | Times Cited: 100
Automatic Generation of Pull Request Descriptions
Zhongxin Liu, Xin Xia, Christoph Treude, et al.
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2019)
Open Access | Times Cited: 95
PyMT5: multi-mode translation of natural language and Python code with transformers
Colin Clement, Dawn Drain, Jonathan Timcheck, et al.
(2020)
Open Access | Times Cited: 90
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees
Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang
(2021), pp. 1186-1197
Open Access | Times Cited: 89
Perfection Not Required? Human-AI Partnerships in Code Translation
Justin D. Weisz, Michael Müller, Stephanie Houde, et al.
(2021), pp. 402-412
Open Access | Times Cited: 86
Code Generation as a Dual Task of Code Summarization
Bolin Wei, Ge Li, Xin Xia, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 82
Automatic Source Code Summarization with Extended Tree-LSTM
Yusuke Shido, Yasuaki Kobayashi, Akihiro Yamamoto, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2019), pp. 1-8
Open Access | Times Cited: 80
Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention
Wenhua Wang, Yuqun Zhang, Yulei Sui, et al.
IEEE Transactions on Software Engineering (2020) Vol. 48, Iss. 1, pp. 102-119
Open Access | Times Cited: 77
What do Programmers Discuss about Deep Learning Frameworks
Junxiao Han, Emad Shihab, Zhiyuan Wan, et al.
Empirical Software Engineering (2020) Vol. 25, Iss. 4, pp. 2694-2747
Closed Access | Times Cited: 77
FCCA: Hybrid Code Representation for Functional Clone Detection Using Attention Networks
Wei Hua, Yulei Sui, Yao Wan, et al.
IEEE Transactions on Reliability (2020) Vol. 70, Iss. 1, pp. 304-318
Open Access | Times Cited: 75
SPT-code
Changan Niu, Chuanyi Li, Vincent Ng, et al.
Proceedings of the 44th International Conference on Software Engineering (2022), pp. 2006-2018
Closed Access | Times Cited: 65
Code Structure–Guided Transformer for Source Code Summarization
Shuzheng Gao, Cuiyun Gao, Yulan He, et al.
ACM Transactions on Software Engineering and Methodology (2022) Vol. 32, Iss. 1, pp. 1-32
Open Access | Times Cited: 64
Page 1 - Next Page

Scroll to top