Alessandro Perelli

575 total citations
39 papers, 423 citations indexed

About

Alessandro Perelli is a scholar working on Mechanics of Materials, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Alessandro Perelli has authored 39 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mechanics of Materials, 19 papers in Biomedical Engineering and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Alessandro Perelli's work include Ultrasonics and Acoustic Wave Propagation (19 papers), Medical Imaging Techniques and Applications (14 papers) and Structural Health Monitoring Techniques (11 papers). Alessandro Perelli is often cited by papers focused on Ultrasonics and Acoustic Wave Propagation (19 papers), Medical Imaging Techniques and Applications (14 papers) and Structural Health Monitoring Techniques (11 papers). Alessandro Perelli collaborates with scholars based in United Kingdom, Italy and United States. Alessandro Perelli's co-authors include Luca De Marchi, Alessandro Marzani, Michael Davies, N. Speciale, Tommaso Di Ianni, G. Masetti, Mike E. Davies, John Thompson, Evangelos Vlachos and Aryan Kaushik and has published in prestigious journals such as Physics in Medicine and Biology, Mechanical Systems and Signal Processing and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Alessandro Perelli

35 papers receiving 411 citations

Peers

Alessandro Perelli
Naizhang Feng China
Ramazan Demirli United States
N. Speciale Italy
Daniel Rodrigues Pipa Brazil
Peiwen Que China
Abdollah Bagheri United States
V. Dumbrava Lithuania
Jacob Dodson United States
Thomas Schäfer Germany
Yongsheng Yan China
Naizhang Feng China
Alessandro Perelli
Citations per year, relative to Alessandro Perelli Alessandro Perelli (= 1×) peers Naizhang Feng

Countries citing papers authored by Alessandro Perelli

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Perelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Perelli

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Perelli. A scholar is included among the top collaborators of Alessandro Perelli 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 Alessandro Perelli. Alessandro Perelli 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.
McGregor, Scott, et al.. (2025). Synthetic CT Image Generation From CBCT: A Systematic Review. IEEE Transactions on Radiation and Plasma Medical Sciences. 9(6). 691–707. 1 indexed citations
2.
Tian, Ye, et al.. (2025). MLAR-UNet: LDCT image denoising based on U-Net with multiple lightweight attention-based modules and residual reinforcement. Physics in Medicine and Biology. 70(4). 45021–45021.
3.
Bousse, Alexandre, Simon Rit, Alessandro Perelli, et al.. (2023). Systematic Review on Learning-Based Spectral CT. IEEE Transactions on Radiation and Plasma Medical Sciences. 8(2). 113–137. 11 indexed citations
4.
Bousse, Alexandre, Franck Vermet, Jacques Froment, et al.. (2023). Uconnect: Synergistic Spectral CT Reconstruction With U-Nets Connecting the Energy Bins. IEEE Transactions on Radiation and Plasma Medical Sciences. 8(2). 222–233. 2 indexed citations
5.
Perelli, Alessandro, et al.. (2022). Multi-channel convolutional analysis operator learning for dual-energy CT reconstruction. Physics in Medicine and Biology. 67(6). 65001–65001. 3 indexed citations
6.
Perelli, Alessandro, et al.. (2022). LRR-CED: low-resolution reconstruction-aware convolutional encoder–decoder network for direct sparse-view CT image reconstruction. Physics in Medicine and Biology. 67(15). 155007–155007. 7 indexed citations
7.
Perelli, Alessandro, et al.. (2020). Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing. SIAM Journal on Imaging Sciences. 13(4). 1860–1897. 3 indexed citations
8.
Perelli, Alessandro, et al.. (2018). Quantitative cone-beam CT reconstruction with polyenergetic scatter model fusion. Physics in Medicine and Biology. 63(22). 225001–225001. 4 indexed citations
9.
Perelli, Alessandro, et al.. (2018). Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. IEEE Journal of Selected Topics in Signal Processing. 12(5). 857–870. 15 indexed citations
10.
Perelli, Alessandro, et al.. (2017). Polyquant CT: direct electron and mass density reconstruction from a single polyenergetic source. Physics in Medicine and Biology. 62(22). 8739–8762. 2 indexed citations
11.
Perelli, Alessandro & Michael Davies. (2017). Proceedings of the 25th European Signal Processing Conference (EUSIPCO). European Signal Processing Conference. 51 indexed citations
12.
Perelli, Alessandro & Michael Davies. (2017). Proceedings of Workshop on Signal Processing with Adaptive Sparse Structured Representations 2017. 3 indexed citations
13.
Perelli, Alessandro & Mike E. Davies. (2015). Compressive computed tomography image reconstruction with denoising message passing algorithms. Discovery Research Portal (University of Dundee). 29. 2806–2810. 6 indexed citations
14.
Perelli, Alessandro, et al.. (2015). Best basis compressive sensing of guided waves in structural health monitoring. Digital Signal Processing. 42. 35–42. 24 indexed citations
15.
Perelli, Alessandro, Luca De Marchi, Alessandro Marzani, & Steven Freear. (2013). Compressive Sensing for Damage Detection in Composite Aircraft Wings. Structural Health Monitoring. 917–924. 2 indexed citations
16.
Perelli, Alessandro, et al.. (2013). Design of an ultra-low power device for aircraft structural health monitoring. Discovery Research Portal (University of Dundee). 1127–1130. 2 indexed citations
17.
Marchi, Luca De, Alessandro Perelli, Nicola Testoni, et al.. (2013). A Small, Light and Low-Power Passive Node Sensor for SHM of Composite Panels. Structural Health Monitoring. 2218–2224. 4 indexed citations
18.
Perelli, Alessandro, Sevan Harput, Luca De Marchi, & Steven Freear. (2013). Frequency warping compressive sensing for structural monitoring of aircraft wing. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 4 indexed citations
19.
Perelli, Alessandro, Sevan Harput, Luca De Marchi, & Steven Freear. (2013). Compressive sensing with frequency warped compensation for damage detection in composite plate. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 158–161. 1 indexed citations
20.
Perelli, Alessandro, Tommaso Di Ianni, Alessandro Marzani, Luca De Marchi, & G. Masetti. (2013). Model-based compressive sensing for damage localization in lamb wave inspection. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 60(10). 2089–2097. 31 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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