Sang Kil

3.0k total citations · 1 hit paper
42 papers, 1.7k citations indexed

About

Sang Kil is a scholar working on Software, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Sang Kil has authored 42 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Software, 24 papers in Signal Processing and 15 papers in Artificial Intelligence. Recurrent topics in Sang Kil's work include Software Testing and Debugging Techniques (27 papers), Advanced Malware Detection Techniques (24 papers) and Software Engineering Research (12 papers). Sang Kil is often cited by papers focused on Software Testing and Debugging Techniques (27 papers), Advanced Malware Detection Techniques (24 papers) and Software Engineering Research (12 papers). Sang Kil collaborates with scholars based in South Korea, United States and Canada. Sang Kil's co-authors include David Brumley, Thanassis Avgerinos, Maverick Woo, Hyung-Seok Han, Soomin Kim, Edward J. Schwartz, Gustavo Grieco, Marcel Böhme, Alex Groce and David G. Andersen and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Software Engineering and Computers & Security.

In The Last Decade

Sang Kil

37 papers receiving 1.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Unleashing Mayhem on Binary Code

2012 330 citations Sang Kil, Thanassis Avgerinos et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sang Kil South Korea	19	1.1k	1.1k	754	616	308	42	1.7k
Yan Shoshitaishvili United States	20	1.1k 1.0×	1.7k 1.6×	1.1k 1.4×	1.1k 1.7×	604 2.0×	61	2.5k
Martin Monperrus Sweden	19	1.4k 1.3×	336 0.3×	1.4k 1.8×	357 0.6×	412 1.3×	73	1.9k
Yinxing Xue China	23	633 0.6×	678 0.6×	953 1.3×	509 0.8×	353 1.1×	69	1.5k
Hamid Bagheri United States	19	582 0.5×	589 0.6×	572 0.8×	344 0.6×	331 1.1×	91	1.1k
René Just United States	22	2.5k 2.3×	494 0.5×	2.1k 2.8×	263 0.4×	424 1.4×	51	2.8k
Joshua Garcia United States	24	725 0.7×	566 0.5×	1.3k 1.7×	782 1.3×	1.0k 3.3×	62	1.8k
Satish Chandra United States	22	1.2k 1.1×	294 0.3×	1.3k 1.7×	417 0.7×	376 1.2×	56	1.9k
Guozhu Meng China	21	601 0.6×	833 0.8×	844 1.1×	439 0.7×	556 1.8×	48	1.6k
Abdelwahab Hamou‐Lhadj Canada	23	659 0.6×	410 0.4×	1.1k 1.5×	623 1.0×	926 3.0×	140	1.7k
Xiaoyin Wang United States	24	1.1k 1.0×	755 0.7×	1.8k 2.4×	533 0.9×	729 2.4×	107	2.3k

Countries citing papers authored by Sang Kil

Since Specialization

Citations

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

Fields of papers citing papers by Sang Kil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang Kil

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Kil. A scholar is included among the top collaborators of Sang Kil 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 Sang Kil. Sang Kil 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.

Kil, Sang, et al.. (2025). PyLingual: Toward Perfect Decompilation of Evolving High-Level Languages. 2976–2994.

2.

Kil, Sang, et al.. (2025). Fork State-Aware Differential Fuzzing for Blockchain Consensus Implementations. 3048–3059.

3.

Kim, Soomin, et al.. (2025). Towards Sound Reassembly of Modern x86-64 Binaries. 1317–1333.

4.

Heo, Kihong, et al.. (2024). Evaluating Directed Fuzzers: Are We Heading in the Right Direction?. Proceedings of the ACM on software engineering.. 1(FSE). 316–337. 1 indexed citations

5.

Kim, Soomin, et al.. (2024). AsFuzzer: Differential Testing of Assemblers with Error-Driven Grammar Inference. 1099–1111.

6.

Kim, Dongkwan, Eun‐Soo Kim, Sang Kil, Sooel Son, & Yongdae Kim. (2022). Revisiting Binary Code Similarity Analysis Using Interpretable Feature Engineering and Lessons Learned. IEEE Transactions on Software Engineering. 49(4). 1661–1682. 52 indexed citations

7.

Kim, Soomin, et al.. (2021). SMARTIAN: Enhancing Smart Contract Fuzzing with Static and Dynamic Data-Flow Analyses. 227–239. 105 indexed citations

8.

Lee, Suyong, Hyung-Seok Han, Sang Kil, & Sooel Son. (2020). Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer. arXiv (Cornell University). 1 indexed citations

9.

Kil, Sang & Zhenkai Liang. (2020). Asia's surging interest in binary analysis. Communications of the ACM. 63(4). 86–88.

10.

Kil, Sang, et al.. (2019). Grey-Box Concolic Testing on Binary Code. 736–747. 50 indexed citations

11.

Kil, Sang, et al.. (2018). Git-based {CTF}: A Simple and Effective Approach to Organizing In-Course Attack-and-Defense Security Competition. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 7 indexed citations

12.

Han, Hyung-Seok, et al.. (2018). Fuzzing: Art, Science, and Engineering.. arXiv (Cornell University). 18 indexed citations

13.

Kil, Sang, et al.. (2018). Optimizing Seed Selection for Fuzzing. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 861–875. 67 indexed citations

14.

Yoon, Changhoon, et al.. (2018). INDAGO: A New Framework For Detecting Malicious SDN Applications. 220–230. 13 indexed citations

15.

Avgerinos, Thanassis, et al.. (2018). AEG: Automatic Exploit Generation. Figshare. 56 indexed citations

16.

Kil, Sang, et al.. (2016). High Efficient Welding Technology of the Car Bodies. Journal of Welding and Joining. 34(4). 62–66. 4 indexed citations

17.

Cui, Weidong, Marcus Peinado, Sang Kil, Yanick Fratantonio, & Vasileios P. Kemerlis. (2016). RETracer. 820–831. 42 indexed citations

18.

Avgerinos, Thanassis, et al.. (2016). Enhancing symbolic execution with veritesting. Communications of the ACM. 59(6). 93–100. 9 indexed citations

19.

Kil, Sang, et al.. (2010). SplitScreen: enabling efficient, distributed malware detection. Networked Systems Design and Implementation. 25–25. 26 indexed citations

20.

Kil, Sang, et al.. (2007). Investigation on the Corrosion Behaviour of Weld Structure. Corrosion Science and Technology. 6(1). 33–35. 4 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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