Daoguang Zan

461 total citations
11 papers, 202 citations indexed

About

Daoguang Zan is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Daoguang Zan has authored 11 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 7 papers in Artificial Intelligence and 3 papers in Software. Recurrent topics in Daoguang Zan's work include Software Engineering Research (5 papers), Topic Modeling (5 papers) and Web Data Mining and Analysis (3 papers). Daoguang Zan is often cited by papers focused on Software Engineering Research (5 papers), Topic Modeling (5 papers) and Web Data Mining and Analysis (3 papers). Daoguang Zan collaborates with scholars based in China, United States and Hong Kong. Daoguang Zan's co-authors include Jian–Guang Lou, Weizhu Chen, Bei Chen, Bei Guan, Yongji Wang, Bingchao Wu, Dianjie Lu, Yongji Wang, Zeqi Lin and Jacky Keung and has published in prestigious journals such as Knowledge-Based Systems, ACM Transactions on Software Engineering and Methodology and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Daoguang Zan

11 papers receiving 198 citations

Peers

Countries citing papers authored by Daoguang Zan

Since Specialization

Citations

This map shows the geographic impact of Daoguang Zan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daoguang Zan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoguang Zan more than expected).

Fields of papers citing papers by Daoguang Zan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daoguang Zan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daoguang Zan. The network helps show where Daoguang Zan may publish in the future.

Co-authorship network of co-authors of Daoguang Zan

This figure shows the co-authorship network connecting the top 25 collaborators of Daoguang Zan. A scholar is included among the top collaborators of Daoguang Zan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daoguang Zan. Daoguang Zan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Private-library-oriented code generation with large language models 2025 ·Knowledge-Based Systems ·Daoguang Zan, (unknown), Yongshun Gong, (unknown), (unknown), Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang	1
2	CodeS: Natural Language to Code Repository via Multi-Layer Sketch 2025 ·ACM Transactions on Software Engineering and Methodology ·Daoguang Zan, (unknown), (unknown), (unknown), Bo Shen, (unknown), (unknown), (unknown), Yongshun Gong, Bei Guan, (unknown), (unknown), Lizhen Cui, Qianxiang Wang	1
3	GraphCoder: Enhancing Repository-Level Code Completion via Coarse-to-fine Retrieval Based on Code Context Graph 2024 ·(unknown), (unknown), Daoguang Zan, Bo Shen, (unknown), (unknown), Zhi Jin, (unknown)	4
4	DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises 2024 ·Proceedings of the ACM on software engineering. ·Daoguang Zan, (unknown), Bo Shen, (unknown), (unknown), Yongshun Gong, (unknown), (unknown), Weihua Luo, Bei Guan, (unknown), (unknown), (unknown), Lizhen Cui	1
5	A GAN-Based Data Poisoning Framework Against Anomaly Detection in Vertical Federated Learning 2024 ·(unknown), Daoguang Zan, Wei Li, Bei Guan, Yongji Wang	6
6	Large Language Models Meet NL2Code: A Survey 2023 ·Daoguang Zan, (unknown), (unknown), Dianjie Lu, Bingchao Wu, (unknown), Yongji Wang, Jian–Guang Lou	59
7	Hierarchical and Contrastive Representation Learning for Knowledge-Aware Recommendation 2023 ·Bingchao Wu, (unknown), Daoguang Zan, Bei Guan, Yongji Wang	1
8	RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation 2023 ·CityU Scholars ·(unknown), Bei Chen, Yue Zhang, Jacky Keung, (unknown), Daoguang Zan, Yi Mao, Jian–Guang Lou, Weizhu Chen	53
9	When Language Model Meets Private Library 2022 ·Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian–Guang Lou	20
10	CERT: Continual Pre-training on Sketches for Library-oriented Code Generation 2022 ·Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence ·Daoguang Zan, (unknown), (unknown), Zeqi Lin, (unknown), Bei Guan, Yongji Wang, Weizhu Chen, Jian–Guang Lou	37
11	Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Yuanmeng Yan, Rumei Li, Sirui Wang, Hongzhi Zhang, Daoguang Zan, Fuzheng Zhang, Wei Wu, Weiran Xu	19

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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