Yan Yan - RankMe

20 papers C 11Journal 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Onboard Calibration Technique for Synthetic Aperture Radar Interferometry Using Multisource Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yan Yan, Qingjun Zhang, Vito Pascazio, Zhibin Wang, Taoli Yang
2025	J	`jnl`	A Multitemporal Baseline Phase Unwrapping Approach for Accurately Monitoring High-Gradient Deformation With Two-Pass DInSAR. IEEE Trans. Geosci. Remote. Sens. Yan Yan, Hanwen Yu, Taoli Yang
2025	J	`jnl`	Accuracy Assessment for Multibaseline Phase Unwrapping Without Using External Reference Data. IEEE Trans. Geosci. Remote. Sens. Xin Ye, Hanwen Yu, Yan Yan, Taoli Yang
2025	J	`jnl`	An Innovative Along-Track Two-Stage Programming Approach for Accurately Retrieving Sea Surface Velocity From Hybrid InSAR System. IEEE Trans. Geosci. Remote. Sens. Yan Yan, Qingjun Zhang, Hanwen Yu, Zhibin Wang, Taoli Yang
2025	J	`jnl`	Coherence Matrix Estimation With Total Positivity Regularization for Interferometric Phase Linking. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Changjun Zhao, Yan Yan, Hanwen Yu
2025	J	`jnl`	Pine Wilt Disease Monitoring Using Multimodal Remote Sensing Data and Feature Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xin Ye, Hanwen Yu, Yan Yan, Tieming Liu, Yan Zhang, Taoli Yang
2024	C	`conf`	Calibrating Insar-Derived Dem with Radar Altimetry. IGARSS Hang Chen, Hanwen Yu, Yan Yan, Yong Wang
2024	J	`jnl`	Interpretable PCA and SVM-Based Leak Detection Algorithm for Identifying Water Leakage Using SAR-Derived Moisture Content and InSAR Closure Phase. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yan Yan, Xujie Le, Taoli Yang, Hanwen Yu
2024	J	`jnl`	Two-Dimensional Phase Unwrapping for Topography Reconstruction: A Refined Two-Stage Programming Approach. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yan Yan, Hanwen Yu, Taoli Yang
2023	C	`conf`	Two-Dimensional Phase Unwrapping For Multi-Baseline SAR Interferograms: Time-Series TSPA. IGARSS Yan Yan, Yong Wang, Hanwen Yu
2022	C	`conf`	An Optimization Model for Two-Dimensional Single-Baseline Insar Phase Unwrapping. IGARSS Yan Yan, Yong Wang, Hanwen Yu
2022	C	`conf`	Application of the PGNet to Minimize Closure Phases in a Multi-Temporal InSAR Algorithm. IGARSS Yan Yan, Yong Wang, Hanwen Yu
2021	C	`conf`	An Algorithm to Estimate Tree Height with Insar Technique and Dual-Pol ALOS/PALSAR Datasets. IGARSS Yao Chen, Yong Wang, Yan Yan
2021	C	`conf`	Delineating Reliable Ground Control Points in SBAS-Insar Analysis with Phase Derivative Variance. IGARSS Yan Yan, Yong Wang
2021	J	`jnl`	Determining Suitable Spaceborne SAR Observations and Ground Control Points for Surface Deformation Study in Rugged Terrain With InSAR Technique. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yan Yan, Yong Wang
2019	C	`conf`	Impact of the Variation of Observable Areas on Landslide Study Using Insar Technique. IGARSS Yan Yan, Yong Wang
2018	C	`conf`	Analyzing Landslide-Prone Loess Area of Heifangtai, Gansu, China Using SBAS-InSAR Technique. IGARSS Zhu Zeng, Yong Wang, Yan Yan, Ningning Xiao, Dongzi Chen
2018	C	`conf`	Study of Landslide Characteristics Using Time-Series InSAR Technique. IGARSS Yan Yan, Yong Wang, Zhu Zeng
2018	C	`conf`	Study on Theoretical Reserves of Water Energy and its Distribution Based on HYDRO30 Digital Drainage Network. IGARSS Shuxu Gao, Binbin He, Yuwei Guan, Yan Yan, Shujun Song, Xiaofang Liu
2018	C	`conf`	Surface Deformation of Kangding Airport, Qinghai-Tibet Plateau, China Using Insar Techniques and Multi-Temporal Sentinel-1 Datasets. IGARSS Hanning Chen, Yong Wang, Yin Zhang, Yan Yan

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.