Gemine Vivone

9.7k total citations · 9 hit papers
167 papers, 7.1k citations indexed

About

Gemine Vivone is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Gemine Vivone has authored 167 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Media Technology, 79 papers in Computer Vision and Pattern Recognition and 21 papers in Artificial Intelligence. Recurrent topics in Gemine Vivone's work include Advanced Image Fusion Techniques (106 papers), Remote-Sensing Image Classification (87 papers) and Image and Signal Denoising Methods (47 papers). Gemine Vivone is often cited by papers focused on Advanced Image Fusion Techniques (106 papers), Remote-Sensing Image Classification (87 papers) and Image and Signal Denoising Methods (47 papers). Gemine Vivone collaborates with scholars based in Italy, China and France. Gemine Vivone's co-authors include Jocelyn Chanussot, Rocco Restaino, Mauro Dalla Mura, Liang-Jian Deng, Andrea Garzelli, Luciano Alparone, Giorgio Licciardi, Ting‐Zhu Huang, Lucien Wald and Paolo Braca and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Gemine Vivone

151 papers receiving 7.0k citations

Hit Papers

A Critical Comparison Among Pansharpening Algorithms 2013 2026 2017 2021 2014 2015 2013 2020 2022 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gemine Vivone Italy 39 5.8k 4.4k 840 587 525 167 7.1k
Andrea Garzelli Italy 38 7.3k 1.2× 5.4k 1.2× 769 0.9× 418 0.7× 763 1.5× 173 8.1k
Stefano Baronti Italy 37 6.6k 1.1× 5.1k 1.2× 598 0.7× 489 0.8× 830 1.6× 183 7.7k
Luciano Alparone Italy 43 8.3k 1.4× 6.8k 1.5× 806 1.0× 607 1.0× 1.2k 2.3× 247 9.8k
Bruno Aiazzi Italy 35 5.2k 0.9× 4.1k 0.9× 462 0.6× 418 0.7× 519 1.0× 151 6.0k
Liangpei Zhang China 35 4.1k 0.7× 2.7k 0.6× 385 0.5× 526 0.9× 288 0.5× 68 5.4k
Xudong Kang China 42 7.2k 1.2× 3.9k 0.9× 916 1.1× 683 1.2× 820 1.6× 153 8.4k
Wenzhi Liao Belgium 36 4.0k 0.7× 2.3k 0.5× 321 0.4× 513 0.9× 273 0.5× 121 5.3k
Aleksandra Pižurica Belgium 32 3.0k 0.5× 2.9k 0.7× 529 0.6× 381 0.6× 198 0.4× 272 5.2k
Wei He China 38 3.2k 0.6× 3.1k 0.7× 241 0.3× 270 0.5× 247 0.5× 184 5.3k
Yanfeng Gu China 31 4.3k 0.7× 2.2k 0.5× 398 0.5× 762 1.3× 693 1.3× 204 6.2k

Countries citing papers authored by Gemine Vivone

Since Specialization
Citations

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

Fields of papers citing papers by Gemine Vivone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemine Vivone

This figure shows the co-authorship network connecting the top 25 collaborators of Gemine Vivone. A scholar is included among the top collaborators of Gemine Vivone 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 Gemine Vivone. Gemine Vivone 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.
Vivone, Gemine, et al.. (2025). IcGAN4ColSAR: A Novel Multispectral Conditional Generative Adversarial Network Approach for SAR Image Colorization. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.
2.
Jian, Lihua, et al.. (2025). Feature Interaction and Adaptive Fusion Network With Spectral Modulation for Pansharpening. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 10458–10470.
3.
Jian, Lihua, et al.. (2025). High-Fidelity Pansharpening via Trigeminal Pyramid Decoding of CNN-Transformer Encoded Features. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 2 indexed citations
4.
Zhou, Jingchun, et al.. (2024). Adaptive variational decomposition for water-related optical image enhancement. ISPRS Journal of Photogrammetry and Remote Sensing. 216. 15–31. 14 indexed citations
5.
Zhou, Jingchun, et al.. (2024). DTKD-Net: Dual-Teacher Knowledge Distillation Lightweight Network for Water-Related Optics Image Enhancement. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 13 indexed citations
7.
Restaino, Rocco, et al.. (2024). Efficient Hyperspectral Super-Resolution of Sentinel-5P Data via Dynamic Multidirectional Cascade Fine-Tuning. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 2 indexed citations
8.
Yang, Xiaoyuan, et al.. (2023). A continual learning-guided training framework for pansharpening. ISPRS Journal of Photogrammetry and Remote Sensing. 196. 45–57. 16 indexed citations
9.
Cao, Zihan, et al.. (2023). Diffusion model with disentangled modulations for sharpening multispectral and hyperspectral images. Information Fusion. 104. 102158–102158. 46 indexed citations
10.
Huang, Ting‐Zhu, et al.. (2022). A New Context-Aware Details Injection Fidelity With Adaptive Coefficients Estimation for Variational Pansharpening. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 37 indexed citations
11.
Addesso, P., Rocco Restaino, & Gemine Vivone. (2021). An Improved Version of the Generalized Laplacian Pyramid Algorithm for Pansharpening. Remote Sensing. 13(17). 3386–3386. 7 indexed citations
12.
Restaino, Rocco, Gemine Vivone, P. Addesso, & Jocelyn Chanussot. (2020). Hyperspectral Sharpening Approaches Using Satellite Multiplatform Data. IEEE Transactions on Geoscience and Remote Sensing. 59(1). 578–596. 21 indexed citations
13.
Vivone, Gemine, Mauro Dalla Mura, Andrea Garzelli, et al.. (2020). A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods. IEEE Geoscience and Remote Sensing Magazine. 9(1). 53–81. 243 indexed citations breakdown →
14.
Lolli, Simone & Gemine Vivone. (2020). The role of tropospheric ozone in flagging COVID-19 pandemic transmission. PubMed. 1(3-4). 551–555. 9 indexed citations
15.
Lolli, Simone, Ying‐Chieh Chen, Sheng‐Hsiang Wang, & Gemine Vivone. (2020). Impact of meteorological conditions and air pollution on COVID-19 pandemic transmission in Italy. Scientific Reports. 10(1). 16213–16213. 109 indexed citations
16.
Vivone, Gemine, Rocco Restaino, & Jocelyn Chanussot. (2018). A Bayesian Procedure for Full-Resolution Quality Assessment of Pansharpened Products. IEEE Transactions on Geoscience and Remote Sensing. 56(8). 4820–4834. 45 indexed citations
17.
Vivone, Gemine, P. Addesso, & Jocelyn Chanussot. (2018). A Combiner-Based Full Resolution Quality Assessment Index for Pansharpening. IEEE Geoscience and Remote Sensing Letters. 16(3). 437–441. 15 indexed citations
18.
Garzelli, Andrea, Bruno Aiazzi, Luciano Alparone, Simone Lolli, & Gemine Vivone. (2018). Multispectral Pansharpening with Radiative Transfer-Based Detail-Injection Modeling for Preserving Changes in Vegetation Cover. Remote Sensing. 10(8). 1308–1308. 42 indexed citations
19.
Lolli, Simone, Luciano Alparone, Andrea Garzelli, & Gemine Vivone. (2017). Haze Correction for Contrast-Based Multispectral Pansharpening. IEEE Geoscience and Remote Sensing Letters. 14(12). 2255–2259. 130 indexed citations
20.
Restaino, Rocco, et al.. (2017). Band Assignment Approaches for Hyperspectral Sharpening. IEEE Geoscience and Remote Sensing Letters. 14(5). 739–743. 24 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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