Debin Gao

2.1k total citations
55 papers, 557 citations indexed

About

Debin Gao is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Debin Gao has authored 55 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Signal Processing, 34 papers in Artificial Intelligence and 26 papers in Computer Networks and Communications. Recurrent topics in Debin Gao's work include Advanced Malware Detection Techniques (44 papers), Security and Verification in Computing (28 papers) and Network Security and Intrusion Detection (19 papers). Debin Gao is often cited by papers focused on Advanced Malware Detection Techniques (44 papers), Security and Verification in Computing (28 papers) and Network Security and Intrusion Detection (19 papers). Debin Gao collaborates with scholars based in Singapore, China and United States. Debin Gao's co-authors include Michael K. Reiter, Dawn Song, Payas Gupta, Kangjie Lu, David Lo, Daoyuan Wu, Robert H. Deng, Peng Li, Peng Li and Chunfu Jia and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Information Forensics and Security and Lecture notes in computer science.

In The Last Decade

Debin Gao

46 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debin Gao Singapore 14 378 303 264 247 44 55 557
Claudio Marforio Switzerland 10 262 0.7× 159 0.5× 248 0.9× 171 0.7× 32 0.7× 11 393
Sooel Son South Korea 15 280 0.7× 301 1.0× 427 1.6× 209 0.8× 112 2.5× 29 654
Yuval Fledel Israel 6 421 1.1× 153 0.5× 293 1.1× 283 1.1× 106 2.4× 9 492
Dimitrios Damopoulos Greece 12 276 0.7× 99 0.3× 293 1.1× 154 0.6× 22 0.5× 17 430
David Barrera Canada 11 480 1.3× 229 0.8× 355 1.3× 357 1.4× 159 3.6× 27 700
Kristopher Micinski United States 8 233 0.6× 115 0.4× 161 0.6× 183 0.7× 98 2.2× 18 396
Simon P. Chung United States 13 446 1.2× 367 1.2× 275 1.0× 198 0.8× 70 1.6× 25 610
Yury Zhauniarovich Italy 10 272 0.7× 181 0.6× 227 0.9× 222 0.9× 93 2.1× 24 408
Ginger Myles United States 7 244 0.6× 241 0.8× 255 1.0× 94 0.4× 88 2.0× 12 495
Yongzhong He China 11 264 0.7× 228 0.8× 171 0.6× 274 1.1× 47 1.1× 33 471

Countries citing papers authored by Debin Gao

Since Specialization
Citations

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

Fields of papers citing papers by Debin Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debin Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Debin Gao. A scholar is included among the top collaborators of Debin Gao 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 Debin Gao. Debin Gao 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.
Zhang, Zicheng, Xing Hu, Ferdian Thung, et al.. (2024). MiniMon: Minimizing Android Applications with Intelligent Monitoring-Based Debloating. 1–13.
2.
3.
Jia, Chunfu, et al.. (2022). Chosen-Instruction Attack Against Commercial Code Virtualization Obfuscators. 5 indexed citations
4.
Wu, Daoyuan, et al.. (2021). When Program Analysis Meets Bytecode Search: Targeted and Efficient Inter-procedural Analysis of Modern Android Apps in BackDroid. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 543–554. 3 indexed citations
5.
Gao, Debin, et al.. (2021). On the Effectiveness of Using Graphics Interrupt as a Side Channel for User Behavior Snooping. IEEE Transactions on Dependable and Secure Computing. 19(5). 3257–3270. 8 indexed citations
6.
Gao, Debin, et al.. (2021). Secure Repackage-Proofing Framework for Android Apps Using Collatz Conjecture. IEEE Transactions on Dependable and Secure Computing. 19(5). 3271–3285. 1 indexed citations
7.
Gao, Debin, et al.. (2021). Information and Communications Security. Lecture notes in computer science. 3 indexed citations
8.
Lo, David, et al.. (2020). Deep-Learning–Based App Sensitive Behavior Surveillance for Android Powered Cyber–Physical Systems. IEEE Transactions on Industrial Informatics. 17(8). 5840–5850. 16 indexed citations
9.
Wu, Daoyuan, et al.. (2019). Towards Understanding Android System Vulnerabilities. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 295–306. 6 indexed citations
10.
Gao, Debin, Michael K. Reiter, & Dawn Song. (2018). Behavioral Distance for Intrusion Detection. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University).
11.
Gao, Debin, Michael K. Reiter, & Dawn Song. (2018). Beyond Output Voting: Detecting Compromised Replicas using Behavioral Distance. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
12.
Gao, Debin, Michael K. Reiter, & Dawn Song. (2018). On Gray-Box Program Tracking for Anomaly Detection. Figshare. 8–8. 6 indexed citations
13.
Le, Tien-Duy B., Lingfeng Bao, David Lo, Debin Gao, & Li Li. (2018). Towards Mining Comprehensive Android Sandboxes. 48. 51–60. 6 indexed citations
14.
Wang, Lina, et al.. (2016). A novel covert channel detection method in cloud based on XSRM and improved event association algorithm. Security and Communication Networks. 9(16). 3543–3557. 2 indexed citations
15.
Gupta, Payas, et al.. (2013). I Can Be You: Questioning the Use of Keystroke Dynamics as Biometrics. Network and Distributed System Security Symposium. 91(5). 1–44. 47 indexed citations
16.
Yan, Qiang, et al.. (2013). Comparing Mobile Privacy Protection through Cross-Platform Applications. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 27 indexed citations
17.
Varakantham, Pradeep, et al.. (2012). Active malware analysis using stochastic games. Adaptive Agents and Multi-Agents Systems. 29–36. 7 indexed citations
18.
Ming, Jiang, Haibin Zhang, & Debin Gao. (2011). Towards ground truthing observations in gray-box anomaly detection. 25–32.
19.
Gupta, Payas & Debin Gao. (2010). Fighting coercion attacks in key generation using skin conductance. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 30–30. 16 indexed citations
20.
Gao, Debin, Michael K. Reiter, & Dawn Song. (2004). Gray-box extraction of execution graphs for anomaly detection. Figshare. 318–329. 82 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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