Daijun Wei - RankMe

18 papers Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Complex evidential reasoning-based multi-source information fusion for pattern classification. Neurocomputing Kang Sun, Daijun Wei, Mingli Lei, Ningkui Wang
2024	J	`jnl`	A Novel Hybrid Model Combining BPNN Neural Network and Ensemble Empirical Mode Decomposition. Int. J. Comput. Intell. Syst. Huiling Li, Qi Wang, Daijun Wei
2023	J	`jnl`	A new centrality ranking method for multilayer networks. J. Comput. Sci. Dan Wang, Feng Tian, Daijun Wei
2023	—	`conf`	Invulnerability analysis of scale-free network and small-world network. AI2A Mengjiao Chen, Daijun Wei
2023	—	`conf`	Prediction based on traditional network prediction model and LSTM deep neural network model. CNIOT Huiling Li, Daijun Wei
2022	J	`jnl`	An Improved Ordered Visibility Graph Aggregation Operator for MADM. IEEE Access Dan Wang, Feng Tian, Daijun Wei
2020	J	`jnl`	An Accelerated Physarum Solver for Network Optimization. IEEE Trans. Cybern. Cai Gao, Xiaoge Zhang, Zhiying Yue, Daijun Wei
2019	J	`jnl`	A New Belief Entropy Based on Deng Entropy. Entropy Dan Wang, Jiale Gao, Daijun Wei
2019	J	`jnl`	An Improved Method for Measuring the Complexity in Complex Networks Based on Structure Entropy. IEEE Access Mingli Lei, Lirong Liu, Daijun Wei
2018	J	`jnl`	A Modified D Numbers' Integration for Multiple Attributes Decision Making. Int. J. Fuzzy Syst. Ningkui Wang, Xianming Liu, Daijun Wei
2018	J	`jnl`	Measuring the vulnerability of community structure in complex networks. Reliab. Eng. Syst. Saf. Daijun Wei, Xiaoge Zhang, Sankaran Mahadevan
2018	J	`jnl`	Optimal route selection based on Monte Carlo method and adaptive amoeba algorithm under uncertain environment. Int. J. Parallel Emergent Distributed Syst. Ningkui Wang, Zhixuan Wang, Xianming Liu, Daijun Wei
2016	J	`jnl`	Modeling the self-similarity in complex networks based on Coulomb's law. Commun. Nonlinear Sci. Numer. Simul. Haixin Zhang, Daijun Wei, Yong Hu, Xin Lan, Yong Deng
2014	J	`jnl`	A biologically inspired model for transshipment problem. CoRR Cai Gao, Chao Yan, Daijun Wei, Yong Hu, Sankaran Mahadevan, Yong Deng
2014	J	`jnl`	Modelling the Self-similarity in Complex Networks Based on Coulomb's Law. CoRR Haixin Zhang, Daijun Wei, Yong Hu, Xin Lan, Yong Deng
2013	J	`jnl`	A new information dimension of complex networks. CoRR Daijun Wei, Bo Wei, Yong Hu, Haixin Zhang, Yong Deng
2012	J	`jnl`	Assessment of E-Commerce security using AHP and evidential reasoning. Expert Syst. Appl. Yajuan Zhang, Xinyang Deng, Daijun Wei, Yong Deng
2010	—	`conf`	A stability analysis of a quadratic function chemostat model with time delay. BIC-TA Daijun Wei, Dalei Wang

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.