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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:

One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization
Deze Wang, Boxing Chen, Shanshan Li, et al.
(2023), pp. 5-16
Open Access | Times Cited: 19

Showing 19 citing articles:

The Current Challenges of Software Engineering in the Era of Large Language Models
Cuiyun Gao, Xing Hu, Shan Gao, et al.
ACM Transactions on Software Engineering and Methodology (2025)
Open Access | Times Cited: 1
Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study
Shuo Liu, Jacky Keung, Zhen Yang, et al.
2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (2024), pp. 465-476
Open Access | Times Cited: 4
Experimental Evaluation of Parameter-Efficient Fine-Tuning for Software Engineering Tasks
Wentao Zou, Zongwen Shen, Qi Li, et al.
ACM Transactions on Software Engineering and Methodology (2025)
Closed Access
From Natural Language to Code Generation in a Specific Domain of Application: A Systematic Map
Mohammed Imahrain, Ilham El Farissi
Lecture notes in electrical engineering (2025), pp. 107-117
Closed Access
SIFT: enhance the performance of vulnerability detection by incorporating structural knowledge and multi-task learning
Liping Wang, Guilong Lu, Xiang Chen, et al.
Automated Software Engineering (2025) Vol. 32, Iss. 2
Closed Access
AutoAdapt: On the Application of AutoML for Parameter-Efficient Fine-Tuning of Pre-Trained Code Models
Amal Akli, Maxime Cordy, Mike Papadakis, et al.
ACM Transactions on Software Engineering and Methodology (2025)
Closed Access
Do Current Language Models Support Code Intelligence for R Programming Language?
Zixiao Zhao, Fatemeh H. Fard
ACM Transactions on Software Engineering and Methodology (2025)
Closed Access
Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead
Jieke Shi, Zhou Yang, David Lo
ACM Transactions on Software Engineering and Methodology (2024)
Closed Access | Times Cited: 3
Transformers in source code generation: A comprehensive survey
Hadi Ghaemi, Zakieh Alizadehsani, Amin Shahraki, et al.
Journal of Systems Architecture (2024) Vol. 153, pp. 103193-103193
Closed Access | Times Cited: 2
Exploring Parameter-Efficient Fine-Tuning of Large Language Model on Automated Program Repair
Guochang Li, Chen Zhi, Jialiang Chen, et al.
(2024), pp. 719-731
Open Access | Times Cited: 2
An Empirical Study of Parameter-Efficient Fine-Tuning Methods for Pre-Trained Code Models
Jiaxing Liu, Chaofeng Sha, Xin Peng
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2023), pp. 397-408
Closed Access | Times Cited: 4
An Empirical Study on Code Search Pre-trained Models: Academic Progresses vs. Industry Requirements
Kuo Chi, Chuanyi Li, Jidong Ge, et al.
(2024), pp. 41-50
Closed Access | Times Cited: 1
On-the-fly Improving Performance of Deep Code Models via Input Denoising
Zhao Tian, Junjie Chen, Xiangyu Zhang
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2023), pp. 560-572
Open Access | Times Cited: 3
Technical Briefing on Parameter Efficient Fine-Tuning of (Large) Language Models for Code-Intelligence
Fatemeh H. Fard
(2024), pp. 434-435
Open Access
Designing artifact representation and automated pipeline for machine learning based Software Engineering
Hung Phan
(2024)
Open Access
CCAF: Learning Code Change via AdapterFusion
Wentao Zou, Zongwen Shen, Jidong Ge, et al.
(2024), pp. 219-228
Closed Access
SECON: Maintaining Semantic Consistency in Data Augmentation for Code Search
Xu Zhang, Z.-P. Lin, Xiaoyu Hu, et al.
ACM transactions on office information systems (2024)
Open Access
A Longitudinal Analysis Of Replicas in the Wild Wild Android
Syeda Mashal Abbas Zaidi, Shaukat Khan, Parjanya Vyas, et al.
(2024), pp. 1821-1833
Closed Access
DataRecipe --- How to Cook the Data for CodeLLM?
Kisub Kim, Jounghoon Kim, Byeongjo Park, et al.
(2024), pp. 1206-1218
Closed Access
From Triumph to Uncertainty: The Journey of Software Engineering in the AI Era
Antonio Mastropaolo, Camilo Escobar‐Velásquez, Mario Linares‐Vásquez
ACM Transactions on Software Engineering and Methodology (2024)
Closed Access
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