Daoyuan Wu

539 total citations · 1 hit paper
24 papers, 185 citations indexed

About

Daoyuan Wu is a scholar working on Signal Processing, Information Systems and Software. According to data from OpenAlex, Daoyuan Wu has authored 24 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 11 papers in Information Systems and 11 papers in Software. Recurrent topics in Daoyuan Wu's work include Advanced Malware Detection Techniques (13 papers), Software Testing and Debugging Techniques (10 papers) and Security and Verification in Computing (6 papers). Daoyuan Wu is often cited by papers focused on Advanced Malware Detection Techniques (13 papers), Software Testing and Debugging Techniques (10 papers) and Security and Verification in Computing (6 papers). Daoyuan Wu collaborates with scholars based in Hong Kong, Singapore and China. Daoyuan Wu's co-authors include Debin Gao, Rocky K. C. Chang, Yang Liu, Weichao Li, Ricky K. P. Mok, Haijun Wang, Xiaofei Xie, Yue Xue, Zhengzi Xu and Yuqiang Sun and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Industrial Informatics and IEEE Transactions on Mobile Computing.

In The Last Decade

Daoyuan Wu

19 papers receiving 180 citations

Hit Papers

align trajectories

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.

GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis

2024 52 citations Yuqiang Sun, Daoyuan Wu et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daoyuan Wu Hong Kong	9	94	73	72	58	30	24	185
Hossein Fereidooni Germany	8	101 1.1×	99 1.4×	97 1.3×	54 0.9×	46 1.5×	13	216
Yasir Malik Canada	9	81 0.9×	99 1.4×	140 1.9×	72 1.2×	19 0.6×	29	200
Khurram Mustafa India	8	145 1.5×	36 0.5×	52 0.7×	49 0.8×	80 2.7×	43	208
Allen D. Householder United States	6	114 1.2×	65 0.9×	100 1.4×	43 0.7×	23 0.8×	9	183
Robert Krahn Germany	10	161 1.7×	40 0.5×	113 1.6×	161 2.8×	24 0.8×	17	256
Muddassar Azam Sindhu Pakistan	7	78 0.8×	35 0.5×	41 0.6×	71 1.2×	46 1.5×	35	167
Sigrid Gürgens Germany	8	68 0.7×	23 0.3×	62 0.9×	81 1.4×	26 0.9×	19	137
Rafael R. Obelheiro Brazil	8	78 0.8×	34 0.5×	205 2.8×	52 0.9×	9 0.3×	28	235
John Businge Netherlands	9	201 2.1×	48 0.7×	82 1.1×	71 1.2×	70 2.3×	18	233
Nabíl Schear United States	8	106 1.1×	93 1.3×	115 1.6×	144 2.5×	7 0.2×	15	210

Countries citing papers authored by Daoyuan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Daoyuan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoyuan Wu

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

Li, Zongjie, Daoyuan Wu, Shuai Wang, & Zhendong Su. (2025). Differentiation-Based Extraction of Proprietary Data from Fine-Tuned LLMs. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3071–3085.

Wang, Shuai, et al.. (2025). Divergence-Aware Testing of Graphics Shader Compiler Back-Ends. Proceedings of the ACM on Programming Languages. 9(PLDI). 1367–1391.

Li, Zongjie, Daoyuan Wu, Shuai Wang, & Zhendong Su. (2025). API-Guided Dataset Synthesis to Finetune Large Code Models. Proceedings of the ACM on Programming Languages. 9(OOPSLA1). 786–815.

Wu, Daoyuan, Zongjie Li, Shuai Wang, et al.. (2025). DecLLM: LLM-Augmented Recompilable Decompilation for Enabling Programmatic Use of Decompiled Code. Proceedings of the ACM on software engineering.. 2(ISSTA). 1841–1864.

Li, Zongjie, Chaozheng Wang, Daoyuan Wu, et al.. (2024). Split and Merge: Aligning Position Biases in LLM-based Evaluators. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 11084–11108. 4 indexed citations

Fang, Chunrong, Weisong Sun, Daoyuan Wu, et al.. (2024). Machine Learning for Actionable Warning Identification: A Comprehensive Survey. ACM Computing Surveys. 57(2). 1–35. 2 indexed citations

Sun, Yuqiang, Daoyuan Wu, Yue Xue, et al.. (2024). GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–13. 52 indexed citations breakdown →

Wu, Daoyuan, et al.. (2023). Beyond “Protected” and “Private”: An Empirical Security Analysis of Custom Function Modifiers in Smart Contracts. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1157–1168. 8 indexed citations

Li, Qian, et al.. (2022). NREP is a Diagnostic and Prognostic Biomarker, and Promotes Gastric Cancer Cell Proliferation and Angiogenesis. Biochemical Genetics. 61(2). 669–686. 2 indexed citations

10.

Wu, Daoyuan, et al.. (2022). An empirical study of blockchain system vulnerabilities: modules, types, and patterns. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 709–721. 8 indexed citations

11.

Sun, Menghan, et al.. (2022). LiCA: A Fine-grained and Path-sensitive Linux Capability Analysis Framework. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 364–379.

12.

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

13.

Gao, Debin, et al.. (2021). Active Warden Attack: On the (In)Effectiveness of Android App Repackage-Proofing. IEEE Transactions on Dependable and Secure Computing. 19(5). 3508–3520. 4 indexed citations

14.

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

15.

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

16.

Wu, Daoyuan, et al.. (2019). Understanding Open Ports in Android Applications: Discovery, Diagnosis, and Security Assessment. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 10 indexed citations

17.

Lin, Yan, et al.. (2018). Towards Dynamically Monitoring Android Applications on Non-rooted Devices in the Wild. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 212–223. 12 indexed citations

18.

Wu, Daoyuan, Yao Cheng, Debin Gao, Yingjiu Li, & Robert H. Deng. (2018). SCLib. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 299–306. 9 indexed citations

19.

Li, Weichao, Daoyuan Wu, Rocky K. C. Chang, & Ricky K. P. Mok. (2016). Demystifying and Puncturing the Inflated Delay in Smartphone-based WiFi Network Measurement. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 497–504. 6 indexed citations

20.

Li, Weichao, Ricky K. P. Mok, Daoyuan Wu, & Rocky K. C. Chang. (2015). On the accuracy of smartphone-based mobile network measurement. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 370–378. 20 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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