Xujie Si

430 total citations
13 papers, 179 citations indexed

About

Xujie Si is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Xujie Si has authored 13 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 6 papers in Artificial Intelligence and 6 papers in Software. Recurrent topics in Xujie Si's work include Software Engineering Research (7 papers), Software Testing and Debugging Techniques (6 papers) and Software Reliability and Analysis Research (2 papers). Xujie Si is often cited by papers focused on Software Engineering Research (7 papers), Software Testing and Debugging Techniques (6 papers) and Software Reliability and Analysis Research (2 papers). Xujie Si collaborates with scholars based in United States, Canada and South Korea. Xujie Si's co-authors include Mayur Naik, Mukund Raghothaman, Kihong Heo, Taesoo Kim, Le Song, Insu Yun, Yeongjin Jang, Hanjun Dai, Changwoo Min and Paraschos Koutris and has published in prestigious journals such as Proceedings of the ACM on Programming Languages, USENIX Security Symposium and Neural Information Processing Systems.

In The Last Decade

Xujie Si

11 papers receiving 172 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xujie Si United States	9	106	97	95	43	36	13	179
Vijayaraghavan Murali United States	10	162 1.5×	79 0.8×	123 1.3×	33 0.8×	34 0.9×	19	221
Radu Grigore United Kingdom	7	71 0.7×	85 0.9×	95 1.0×	44 1.0×	27 0.8×	15	153
James Koppel United States	4	142 1.3×	57 0.6×	142 1.5×	22 0.5×	30 0.8×	9	210
Tijs van der Storm Netherlands	5	132 1.2×	124 1.3×	128 1.3×	13 0.3×	48 1.3×	9	212
Ittai Balaban United States	4	148 1.4×	101 1.0×	86 0.9×	22 0.5×	49 1.4×	5	169
Andrew E. Santosa Singapore	8	118 1.1×	32 0.3×	51 0.5×	64 1.5×	47 1.3×	15	174
Krzysztof Stencel Poland	7	94 0.9×	68 0.7×	35 0.4×	27 0.6×	55 1.5×	42	150
Daoguang Zan China	6	95 0.9×	117 1.2×	66 0.7×	19 0.4×	22 0.6×	11	202
Adrian Lienhard Switzerland	9	119 1.1×	94 1.0×	50 0.5×	16 0.4×	68 1.9×	18	171
Julia Lawall Denmark	6	77 0.7×	63 0.6×	69 0.7×	35 0.8×	47 1.3×	14	129

Countries citing papers authored by Xujie Si

Since Specialization

Citations

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

Fields of papers citing papers by Xujie Si

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xujie Si

This figure shows the co-authorship network connecting the top 25 collaborators of Xujie Si. A scholar is included among the top collaborators of Xujie Si 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 Xujie Si. Xujie Si 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:

13 of 13 papers shown

1.

Ellis, Kevin, et al.. (2024). Code Repair with LLMs gives an Exploration-Exploitation Tradeoff. 117954–117996.

2.

Si, Xujie, et al.. (2023). Idiolect: A Reconfigurable Voice Coding Assistant. 14–18.

3.

Li, Ziyang, et al.. (2021). Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning. Neural Information Processing Systems. 34. 12 indexed citations

4.

Pientka, Brigitte, et al.. (2021). Data Collection for the Learn-OCaml Programming Platform. 1341–1341. 1 indexed citations

5.

Heo, Kihong, Mukund Raghothaman, Xujie Si, & Mayur Naik. (2019). Continuously reasoning about programs using differential Bayesian inference. 561–575. 14 indexed citations

6.

Si, Xujie, Mukund Raghothaman, Kihong Heo, & Mayur Naik. (2019). Synthesizing Datalog Programs using Numerical Relaxation. 6117–6124. 22 indexed citations

7.

Si, Xujie, Hanjun Dai, Mukund Raghothaman, Mayur Naik, & Le Song. (2018). Learning Loop Invariants for Program Verification. Neural Information Processing Systems. 31. 7751–7762. 19 indexed citations

8.

Si, Xujie, Yuan Yang, Hanjun Dai, Mayur Naik, & Le Song. (2018). Learning a Meta-Solver for Syntax-Guided Program Synthesis. International Conference on Learning Representations. 9 indexed citations

9.

Si, Xujie, Woosuk Lee, Richard Zhang, et al.. (2018). Syntax-guided synthesis of Datalog programs. 515–527. 30 indexed citations

10.

Si, Xujie, et al.. (2017). Combining the logical and the probabilistic in program analysis. 27–34. 6 indexed citations

11.

Zhang, Xin, Radu Grigore, Xujie Si, & Mayur Naik. (2017). Effective interactive resolution of static analysis alarms. Proceedings of the ACM on Programming Languages. 1(OOPSLA). 1–30. 19 indexed citations

12.

Yun, Insu, Changwoo Min, Xujie Si, et al.. (2016). APISan: Sanitizing {API} Usages through Semantic Cross-Checking. USENIX Security Symposium. 363–378. 36 indexed citations

13.

Li, Xiaowei, Xujie Si, & Yuan Xue. (2014). Automated black-box detection of access control vulnerabilities in web applications. 49–60. 11 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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