Sergio Vitale

490 total citations
30 papers, 298 citations indexed

About

Sergio Vitale is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Sergio Vitale has authored 30 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Aerospace Engineering, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Media Technology. Recurrent topics in Sergio Vitale's work include Synthetic Aperture Radar (SAR) Applications and Techniques (18 papers), Image and Signal Denoising Methods (11 papers) and Advanced SAR Imaging Techniques (11 papers). Sergio Vitale is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (18 papers), Image and Signal Denoising Methods (11 papers) and Advanced SAR Imaging Techniques (11 papers). Sergio Vitale collaborates with scholars based in Italy, Netherlands and China. Sergio Vitale's co-authors include Vito Pascazio, Giampaolo Ferraioli, Giuseppe Scarpa, Gilda Schirinzi, Giovanni Poggi, Luisa Verdoliva, Davide Cozzolino, Alejandro C. Frery, Feng Xu and Angelo Gifuni and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Sergio Vitale

25 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Vitale Italy 11 167 140 116 34 31 30 298
Jun Hong China 10 94 0.6× 205 1.5× 62 0.5× 36 1.1× 25 0.8× 66 387
Yaomin He China 8 143 0.9× 134 1.0× 127 1.1× 54 1.6× 28 0.9× 20 387
Mingming Bian China 9 130 0.8× 144 1.0× 83 0.7× 31 0.9× 30 1.0× 40 303
Régis C. P. Marques Brazil 11 187 1.1× 128 0.9× 119 1.0× 23 0.7× 15 0.5× 23 339
Yanhe Guo China 9 195 1.2× 201 1.4× 123 1.1× 50 1.5× 8 0.3× 17 397
Hao Chang China 8 130 0.8× 62 0.4× 119 1.0× 26 0.8× 8 0.3× 16 295
Youming Wu China 9 119 0.7× 150 1.1× 110 0.9× 24 0.7× 24 0.8× 24 301
Krista Amolins Canada 4 214 1.3× 62 0.4× 351 3.0× 20 0.6× 37 1.2× 6 417

Countries citing papers authored by Sergio Vitale

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Vitale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Vitale

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Vitale. A scholar is included among the top collaborators of Sergio Vitale 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 Sergio Vitale. Sergio Vitale 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.
Ferraioli, Giampaolo, et al.. (2025). A Deep Learning Solution for Phase Screen Estimation in SAR Tomography. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.
2.
Zhang, Yunpeng, et al.. (2025). SCF-CIL: A Multi-Stage Regularization-Based SAR Class-Incremental Learning Method Fused with Electromagnetic Scattering Features. Remote Sensing. 17(9). 1586–1586. 1 indexed citations
3.
Yang, Wenyu, Alessandra Budillon, Giampaolo Ferraioli, et al.. (2024). Classical and AI Based SAR Tomography: A Comparison in Urban Application. 10940–10943.
4.
Vitale, Sergio, Giampaolo Ferraioli, & Vito Pascazio. (2024). Different Training Solution for Amplitude SAR Despeckling. 2176–2179.
5.
Vitale, Sergio, et al.. (2024). Coastline Extraction Using SAR Images and Deep Learning. CINECA IRIS Institutial research information system (Parthenope University of Naples). 6072–6075. 2 indexed citations
6.
Ferraioli, Giampaolo, Vito Pascazio, Gilda Schirinzi, et al.. (2024). Attributed Scattering Center Characteristic Extraction with Deep Learning. 7444–7447. 1 indexed citations
7.
Lu, Xiaoguang, et al.. (2024). PolSAR Classification Assessment for Deep Learning Despeckling Filter. 11239–11242.
8.
Vitale, Sergio, et al.. (2023). SAR Despeckling Using Multiobjective Neural Network Trained With Generic Statistical Samples. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–12. 27 indexed citations
9.
Vitale, Sergio, et al.. (2023). Training Supervised Neural Networks for PolSAR Despeckling With an Hybrid Approach. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 5 indexed citations
10.
Ferraioli, Giampaolo, et al.. (2023). Deep-Learning-Based Polarimetric Data Augmentation: Dual2Full-Pol Extension. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 5 indexed citations
11.
Vitale, Sergio, et al.. (2022). Fully Polarimetric Sar Image Despeckling using Deep Neural Netwrok. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 1488–1491. 1 indexed citations
12.
Vitale, Sergio, Giampaolo Ferraioli, Vito Pascazio, et al.. (2022). Marine Plastic Detection Using Optical Data. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 2662–2665. 3 indexed citations
13.
Yang, Wenyu, Alessandra Budillon, Giampaolo Ferraioli, et al.. (2022). A Deep Learning Solution for Height Reconstruction in SAR Tomography. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 595–598. 1 indexed citations
14.
Vitale, Sergio, Giampaolo Ferraioli, Vito Pascazio, & Gilda Schirinzi. (2022). InSAR-MONet: Interferometric SAR Phase Denoising Using a Multiobjective Neural Network. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 21 indexed citations
15.
Vitale, Sergio, Giampaolo Ferraioli, & Vito Pascazio. (2022). A CNN Based Solution for InSAR Phase Denoising. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 931–934. 2 indexed citations
16.
Vitale, Sergio, Giampaolo Ferraioli, & Vito Pascazio. (2021). Analysis on the Building of Training Dataset for Deep Learning SAR Despeckling. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 36 indexed citations
17.
Franceschini, Stefano Sellari, Michele Ambrosanio, Sergio Vitale, et al.. (2020). Hand Gesture Recognition via Radar Sensors and Convolutional Neural Networks. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1–5. 29 indexed citations
18.
Vitale, Sergio & Giuseppe Scarpa. (2020). A Cross-Scale Loss for CNN-Based Pansharpening. CINECA IRIS Institutial research information system (Parthenope University of Naples). 11. 645–648.
19.
Vitale, Sergio, Giampaolo Ferraioli, & Vito Pascazio. (2019). A New Ratio Image Based CNN Algorithm for SAR Despeckling. arXiv (Cornell University). 9494–9497. 22 indexed citations
20.
Vitale, Sergio, Davide Cozzolino, Giuseppe Scarpa, Luisa Verdoliva, & Giovanni Poggi. (2019). Guided Patchwise Nonlocal SAR Despeckling. IEEE Transactions on Geoscience and Remote Sensing. 57(9). 6484–6498. 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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