Lei Ma

7.2k total citations · 3 hit papers
148 papers, 3.7k citations indexed

About

Lei Ma is a scholar working on Artificial Intelligence, Software and Information Systems. According to data from OpenAlex, Lei Ma has authored 148 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Artificial Intelligence, 45 papers in Software and 41 papers in Information Systems. Recurrent topics in Lei Ma's work include Adversarial Robustness in Machine Learning (54 papers), Software Testing and Debugging Techniques (42 papers) and Software Engineering Research (29 papers). Lei Ma is often cited by papers focused on Adversarial Robustness in Machine Learning (54 papers), Software Testing and Debugging Techniques (42 papers) and Software Engineering Research (29 papers). Lei Ma collaborates with scholars based in Japan, Canada and China. Lei Ma's co-authors include Yang Liu, Xiaofei Xie, Jianjun Zhao, Felix Juefei-Xu, Mark Harman, Jie M. Zhang, Minhui Xue, Qing Guo, Li Li and Qiang Hu and has published in prestigious journals such as Optics Express, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Lei Ma

137 papers receiving 3.6k citations

Hit Papers

Machine Learning Testing: Survey, Landscapes and Horizons 2018 2026 2020 2023 2020 2019 2018 100 200 300 400 500
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.

  1. Machine Learning Testing: Survey, Landscapes and Horizons
    2020 517 citations Lei Ma, Yang Liu et al. IEEE Transactions on Software Engineering profile →
  2. DeepHunter: a coverage-guided fuzz testing framework for deep neural networks
    2019 269 citations Xiaofei Xie, Lei Ma et al. profile →
  3. DeepMutation: Mutation Testing of Deep Learning Systems
    2018 236 citations Lei Ma, Minhui Xue et al. profile →

Peers

Lei Ma
Xiaofei Xie Singapore
Jianjun Zhao China
Kamal Z. Zamli Malaysia
Seyit Camtepe Australia
Leandro L. Minku United Kingdom
Z. Berkay Celik United States
Asaf Shabtai Israel
Manju Khari India
Ding Yuan China
Suman Nath United States
Xiaofei Xie Singapore
Lei Ma
Citations per year, relative to Lei Ma Lei Ma (= 1×) peers Xiaofei Xie

Countries citing papers authored by Lei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Ma

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

All Works

20 of 20 papers shown
1.
Huang, Yuheng, et al.. (2025). Look Before You Leap: An Exploratory Study of Uncertainty Analysis for Large Language Models. IEEE Transactions on Software Engineering. 51(2). 413–429. 11 indexed citations
2.
Wang, Zhijie, et al.. (2025). VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation. Proceedings of the ACM on software engineering.. 2(FSE). 1615–1638. 1 indexed citations
3.
Hu, Qiang, Xiaofei Xie, Maxime Cordy, et al.. (2025). Assessing the Robustness of Test Selection Methods for Deep Neural Networks. ACM Transactions on Software Engineering and Methodology.
4.
Li, Tao, et al.. (2025). Large Language Models for Automated Web-Form-Test Generation: An Empirical Study. ACM Transactions on Software Engineering and Methodology. 35(3). 1–37. 1 indexed citations
5.
Song, Jiayang, Xuan Xie, Zhan Shu, et al.. (2024). Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation. 263–274. 9 indexed citations
6.
Li, Yinghua, et al.. (2024). Test Input Prioritization for 3D Point Clouds. ACM Transactions on Software Engineering and Methodology. 33(5). 1–44. 6 indexed citations
7.
Xie, Xuan, et al.. (2024). LUNA: A Model-Based Universal Analysis Framework for Large Language Models. IEEE Transactions on Software Engineering. 50(7). 1921–1948. 5 indexed citations
8.
Guo, Qing, Zhijie Wang, Felix Juefei-Xu, et al.. (2024). CarveNet: Carving Point-Block for Complex 3D Shape Completion. IEEE Transactions on Multimedia. 27. 1047–1058. 1 indexed citations
9.
Ma, Lei, et al.. (2023). Uncertainty-aware safe adaptable motion planning of lower-limb exoskeletons using random forest regression. Mechatronics. 95. 103060–103060. 5 indexed citations
10.
Zhang, Zhenya, Yi Zhang, Jixiang Zhou, et al.. (2023). A Survey on Automated Driving System Testing: Landscapes and Trends. ACM Transactions on Software Engineering and Methodology. 32(5). 1–62. 54 indexed citations
11.
Juefei-Xu, Felix, Run Wang, Yihao Huang, et al.. (2022). Countering Malicious DeepFakes: Survey, Battleground, and Horizon. International Journal of Computer Vision. 130(7). 1678–1734. 105 indexed citations
12.
Zhang, Huangzhao, Zhiyi Fu, Ge Li, et al.. (2022). Towards Robustness of Deep Program Processing Models—Detection, Estimation, and Enhancement. ACM Transactions on Software Engineering and Methodology. 31(3). 1–40. 33 indexed citations
13.
Chan, Alvin, Lei Ma, Felix Juefei-Xu, et al.. (2021). Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples. IEEE Transactions on Neural Networks and Learning Systems. 33(11). 6976–6982. 9 indexed citations
14.
Ma, Lei, et al.. (2021). Study on sentence similarity based on quantum theory. Huadong Shifan Daxue xuebao. Ziran kexue ban. 2021(1). 60. 1 indexed citations
15.
Xie, Xiaofei, Wenbo Guo, Lei Ma, et al.. (2021). RNNRepair: Automatic RNN Repair via Model-based Analysis. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 11383–11392. 2 indexed citations
16.
Guo, Qing, Felix Juefei-Xu, Xiaofei Xie, et al.. (2020). ABBA: Saliency-Regularized Motion-Based Adversarial Blur Attack. arXiv (Cornell University). 2 indexed citations
17.
Ma, Lei, et al.. (2018). APPLICATION OF ARTIFICIAL INTELLIGENCE IN COMPUTER NETWORK TECHNOLOGY UNDER THE BACKGROUND OF BIG DATA. International Journal of Mechatronics and Applied Mechanics. 1(4).
18.
Xie, Xiaofei, Lei Ma, Felix Juefei-Xu, et al.. (2018). Coverage-Guided Fuzzing for Deep Neural Networks.. arXiv (Cornell University). 18 indexed citations
19.
Ma, Lei, et al.. (2016). A kind of mouse behavior authentication method on dynamic soft keyboard. IEEE Conference Proceedings. 2016. 216. 1 indexed citations
20.
Ma, Lei, Yundong Zhang, Nana Wang, & Ping Yuan. (2007). Nonlinear optical properties of polyaniline composite materials. Chinese Optics Letters. 5(10). 599–600. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xiaofei Xie Breakdown of academic impact, for papers by Jianjun Zhao Breakdown of academic impact, for papers by Kamal Z. Zamli Breakdown of academic impact, for papers by Seyit Camtepe Breakdown of academic impact, for papers by Leandro L. Minku Breakdown of academic impact, for papers by Z. Berkay Celik Breakdown of academic impact, for papers by Asaf Shabtai Breakdown of academic impact, for papers by Manju Khari Breakdown of academic impact, for papers by Ding Yuan Breakdown of academic impact, for papers by Suman Nath
Rankless by CCL
2026