Kexin Pei

4.2k total citations · 1 hit paper
19 papers, 1.4k citations indexed

About

Kexin Pei is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Kexin Pei has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Signal Processing and 8 papers in Information Systems. Recurrent topics in Kexin Pei's work include Advanced Malware Detection Techniques (10 papers), Adversarial Robustness in Machine Learning (7 papers) and Software Engineering Research (6 papers). Kexin Pei is often cited by papers focused on Advanced Malware Detection Techniques (10 papers), Adversarial Robustness in Machine Learning (7 papers) and Software Engineering Research (6 papers). Kexin Pei collaborates with scholars based in United States, China and Canada. Kexin Pei's co-authors include Suman Jana, Baishakhi Ray, Yuchi Tian, Junfeng Yang, Yinzhi Cao, Xiangyu Zhang, Dongdong She, Justin Whitehouse, Shiqi Wang and Dongyan Xu and has published in prestigious journals such as Communications of the ACM, Animals and ACM SIGOPS Operating Systems Review.

In The Last Decade

Kexin Pei

19 papers receiving 1.4k citations

Hit Papers

align trajectories

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kexin Pei United States	14	898	524	370	344	260	19	1.4k
Paolo Arcaini Japan	19	621 0.7×	598 1.1×	380 1.0×	79 0.2×	79 0.3×	147	1.3k
Erik Poll Netherlands	15	931 1.0×	471 0.9×	367 1.0×	213 0.6×	50 0.2×	58	1.4k
Qi Alfred Chen United States	20	552 0.6×	131 0.3×	367 1.0×	580 1.7×	163 0.6×	87	1.3k
Axel Legay France	18	671 0.7×	583 1.1×	274 0.7×	139 0.4×	69 0.3×	182	1.6k
Stefan Edelkamp Germany	18	946 1.1×	262 0.5×	81 0.2×	96 0.3×	259 1.0×	111	1.4k
Jianling Sun China	20	514 0.6×	395 0.8×	924 2.5×	249 0.7×	166 0.6×	79	1.4k
He Jiang China	25	634 0.7×	618 1.2×	1.3k 3.4×	330 1.0×	110 0.4×	161	1.8k
Daniel Kroening United Kingdom	24	1.1k 1.2×	1.1k 2.0×	311 0.8×	182 0.5×	91 0.3×	153	2.4k
Taolue Chen United Kingdom	18	449 0.5×	305 0.6×	383 1.0×	122 0.4×	49 0.2×	108	979
Kangbin Yim South Korea	18	365 0.4×	127 0.2×	533 1.4×	720 2.1×	149 0.6×	111	1.3k

Countries citing papers authored by Kexin Pei

Since Specialization

Citations

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

Fields of papers citing papers by Kexin Pei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kexin Pei

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

All Works

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19 of 19 papers shown

1.

Yang, Wei, et al.. (2025). A New Species of Boulenophrys (Megophridae) from Mt. Hengshan, Hunan Province, China, with Re-Description on B. hengshanensis. Animals. 15(18). 2745–2745. 2 indexed citations

2.

Pei, Kexin, et al.. (2024). SmartInv: Multimodal Learning for Smart Contract Invariant Inference. 2217–2235. 9 indexed citations

3.

Pei, Kexin, et al.. (2022). SymLM. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 1631–1645. 32 indexed citations

4.

Pei, Kexin, et al.. (2021). StateFormer: fine-grained type recovery from binaries using generative state modeling. 690–702. 26 indexed citations

5.

Pei, Kexin, et al.. (2021). XDA: Accurate, Robust Disassembly with Transfer Learning. 22 indexed citations

6.

Pei, Kexin, Shiqi Wang, Yuchi Tian, et al.. (2019). Bringing Engineering Rigor to Deep Learning. ACM SIGOPS Operating Systems Review. 53(1). 59–67. 3 indexed citations

7.

Pei, Kexin, Yinzhi Cao, Junfeng Yang, & Suman Jana. (2019). DeepXplore. Communications of the ACM. 62(11). 137–145. 95 indexed citations

8.

She, Dongdong, et al.. (2019). NEUZZ: Efficient Fuzzing with Neural Program Smoothing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 803–817. 105 indexed citations

9.

Pei, Kexin, Yinzhi Cao, Junfeng Yang, & Suman Jana. (2019). DeepXplore. GetMobile Mobile Computing and Communications. 22(3). 36–38. 10 indexed citations

10.

She, Dongdong, et al.. (2018). NEUZZ: Efficient Fuzzing with Neural Program Learning. arXiv (Cornell University). 15 indexed citations

11.

Wang, Shiqi, Kexin Pei, Justin Whitehouse, Junfeng Yang, & Suman Jana. (2018). Formal Security Analysis of Neural Networks using Symbolic Intervals. arXiv (Cornell University). 1599–1614. 48 indexed citations

12.

Tian, Yuchi, et al.. (2018). DeepTest: Automated Testing of Deep-Neural-Network-Driven Autonomous Cars. IEEE Conference Proceedings. 2018. 303–314. 2 indexed citations

13.

Tian, Yuchi, Kexin Pei, Suman Jana, & Baishakhi Ray. (2018). DeepTest. 303–314. 786 indexed citations breakdown →

14.

Wang, Shiqi, Kexin Pei, Justin Whitehouse, Junfeng Yang, & Suman Jana. (2018). Efficient Formal Safety Analysis of Neural Networks. arXiv (Cornell University). 31. 6367–6377. 47 indexed citations

15.

Sivakorn, Suphannee, et al.. (2017). HVLearn: Automated Black-Box Analysis of Hostname Verification in SSL/TLS Implementations. 521–538. 49 indexed citations

16.

Pei, Kexin, Zhongshu Gu, Brendan Saltaformaggio, et al.. (2016). HERCULE. View. 583–595. 77 indexed citations

17.

Zhang, Xiangyu, et al.. (2016). Python probabilistic type inference with natural language support. 607–618. 56 indexed citations

18.

Gu, Zhongshu, Kexin Pei, Qifan Wang, et al.. (2015). LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis. 57–68. 30 indexed citations

19.

Hu, Haibo, et al.. (2014). Private search on key-value stores with hierarchical indexes. 628–639. 15 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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