Vu Le

2.1k total citations · 1 hit paper
43 papers, 1.4k citations indexed

About

Vu Le is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Vu Le has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Information Systems, 17 papers in Software and 15 papers in Artificial Intelligence. Recurrent topics in Vu Le's work include Software Engineering Research (16 papers), Software Testing and Debugging Techniques (15 papers) and Software Reliability and Analysis Research (7 papers). Vu Le is often cited by papers focused on Software Engineering Research (16 papers), Software Testing and Debugging Techniques (15 papers) and Software Reliability and Analysis Research (7 papers). Vu Le collaborates with scholars based in United States, United Kingdom and India. Vu Le's co-authors include Zhendong Su, C. P. Sun, Sumit Gulwani, Earl T. Barr, Qirun Zhang, Gustavo Soares, Ashish Tiwari, Benjamin G. Zorn, Maxim Grechkin and Mikaël Mayer and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGPLAN Notices and Equine Veterinary Journal.

In The Last Decade

Vu Le

34 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Compiler validation via equivalence modulo inputs

2014 264 citations Vu Le, Zhendong Su et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vu Le United States	16	922	760	426	259	256	43	1.4k
ThanhVu Nguyen United States	13	1.3k 1.4×	1.1k 1.4×	429 1.0×	322 1.2×	251 1.0×	48	1.8k
Aditya V. Nori United States	20	901 1.0×	642 0.8×	585 1.4×	280 1.1×	271 1.1×	45	1.4k
Zijiang Yang United States	20	507 0.5×	590 0.8×	273 0.6×	254 1.0×	206 0.8×	65	1.0k
Emina Torlak United States	19	562 0.6×	477 0.6×	636 1.5×	405 1.6×	228 0.9×	49	1.4k
Eitan Farchi Israel	13	610 0.7×	341 0.4×	254 0.6×	383 1.5×	102 0.4×	58	1.0k
Moonzoo Kim South Korea	20	947 1.0×	615 0.8×	230 0.5×	276 1.1×	142 0.6×	52	1.2k
Changhai Nie China	16	1.1k 1.2×	597 0.8×	198 0.5×	266 1.0×	113 0.4×	72	1.3k
John Penix United States	15	926 1.0×	888 1.2×	385 0.9×	292 1.1×	194 0.8×	46	1.4k
Christoph Csallner United States	17	1.0k 1.1×	853 1.1×	240 0.6×	244 0.9×	211 0.8×	47	1.3k
Veselin Raychev Switzerland	20	869 0.9×	1.2k 1.6×	621 1.5×	450 1.7×	550 2.1×	34	1.6k

Countries citing papers authored by Vu Le

Since Specialization

Citations

This map shows the geographic impact of Vu Le'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 Vu Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vu Le more than expected).

Fields of papers citing papers by Vu Le

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vu Le. 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 Vu Le. The network helps show where Vu Le may publish in the future.

Co-authorship network of co-authors of Vu Le

This figure shows the co-authorship network connecting the top 25 collaborators of Vu Le. A scholar is included among the top collaborators of Vu Le 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 Vu Le. Vu Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Cambronero, José, et al.. (2025). DataVinci: Learning Syntactic and Semantic String Repairs. Proceedings of the ACM on Management of Data. 3(1). 1–26.

2.

Joshi, Harshit, et al.. (2024). FLAME: A Small Language Model for Spreadsheet Formulas. Proceedings of the AAAI Conference on Artificial Intelligence. 38(12). 12995–13003.

3.

Cambronero, José, Sumit Gulwani, Vu Le, et al.. (2024). PyDex: Repairing Bugs in Introductory Python Assignments using LLMs. Proceedings of the ACM on Programming Languages. 8(OOPSLA1). 1100–1124. 15 indexed citations

4.

Gulwani, Sumit, et al.. (2024). Semantically Aligned Question and Code Generation for Automated Insight Generation. 127–134. 1 indexed citations

5.

Verbruggen, Gust, et al.. (2024). Tabularis Revilio: Converting Text to Tables. 4056–4060.

6.

Verbruggen, Gust, et al.. (2024). RAR: Retrieval-augmented retrieval for code generation in low resource languages. 21506–21515.

7.

Cambronero, José, et al.. (2023). EmFore: Online Learning of Email Folder Classification Rules. 9. 2280–2290.

8.

Verbruggen, Gust, et al.. (2023). Personalized action suggestions in low-code automation platforms. 32. 346–350.

9.

Gulwani, Sumit, et al.. (2023). Cornet: Learning Table Formatting Rules By Example. Proceedings of the VLDB Endowment. 16(10). 2632–2644. 4 indexed citations

10.

Cambronero, José, et al.. (2023). FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language. Proceedings of the VLDB Endowment. 17(3). 497–510. 4 indexed citations

11.

Le, Vu, et al.. (2021). Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis. 785–796. 15 indexed citations

12.

Le, Vu, et al.. (2020). Mathematical Model to Assess the Effectiveness of Training Specialists in Information Security on the Basis of Time Characteristics of the Educational Process. 1 indexed citations

13.

Gulwani, Sumit, Vu Le, Alan Leung, et al.. (2019). On the fly synthesis of edit suggestions. Proceedings of the ACM on Programming Languages. 3(OOPSLA). 1–29. 30 indexed citations

14.

Sun, C. P., Vu Le, & Zhendong Su. (2016). Finding compiler bugs via live code mutation. ACM SIGPLAN Notices. 51(10). 849–863. 20 indexed citations

15.

Sun, C. P., Vu Le, & Zhendong Su. (2016). Finding compiler bugs via live code mutation. 849–863. 110 indexed citations

16.

Mayer, Mikaël, Gustavo Soares, Maxim Grechkin, et al.. (2015). User Interaction Models for Disambiguation in Programming by Example. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 291–301. 52 indexed citations

17.

Le, Vu, C. P. Sun, & Zhendong Su. (2015). Randomized stress-testing of link-time optimizers. 327–337. 43 indexed citations

18.

Le, Vu & Sumit Gulwani. (2014). FlashExtract. 542–553. 130 indexed citations

19.

Tecuci, Gheorghe, et al.. (2008). Disciple-LTA: Learning, Tutoring and Analytic Assistance 1. 12 indexed citations

20.

Boicu, Mihai, et al.. (2005). A learning and reasoning system for intelligence analysis. National Conference on Artificial Intelligence. 1678–1679. 1 indexed citations

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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