Angelo Genovese

2.1k total citations
82 papers, 1.2k citations indexed

About

Angelo Genovese is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Angelo Genovese has authored 82 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 25 papers in Signal Processing and 17 papers in Artificial Intelligence. Recurrent topics in Angelo Genovese's work include Biometric Identification and Security (22 papers), User Authentication and Security Systems (11 papers) and Industrial Vision Systems and Defect Detection (9 papers). Angelo Genovese is often cited by papers focused on Biometric Identification and Security (22 papers), User Authentication and Security Systems (11 papers) and Industrial Vision Systems and Defect Detection (9 papers). Angelo Genovese collaborates with scholars based in Italy, China and Canada. Angelo Genovese's co-authors include Fabio Scotti, Vincenzo Piuri, Ruggero Donida Labati, Konstantinos N. Plataniotis, Enrique Muñoz, Gianluca Sforza, Mahdi S. Hosseini, Stefano Ferrari, Yikui Zhai and Sarvesh Vishwakarma and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and ACM Computing Surveys.

In The Last Decade

Angelo Genovese

74 papers receiving 1.2k citations

Peers

Angelo Genovese
Mei Xie China
Angelo Genovese
Citations per year, relative to Angelo Genovese Angelo Genovese (= 1×) peers Mei Xie

Countries citing papers authored by Angelo Genovese

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Genovese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelo Genovese

This figure shows the co-authorship network connecting the top 25 collaborators of Angelo Genovese. A scholar is included among the top collaborators of Angelo Genovese 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 Angelo Genovese. Angelo Genovese 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.
Zhai, Yikui, et al.. (2025). Bidirectional Feature Pyramid Siamese Anomaly Detection Network With Cellular Anomaly Generation for Container Marking. IEEE Transactions on Instrumentation and Measurement. 74. 1–17.
2.
Zhai, Yikui, Xiaofen Xing, Kailing Guo, et al.. (2025). CLIP-Vision Guided Few-Shot Metal Surface Defect Recognition. IEEE Transactions on Industrial Informatics. 21(5). 4273–4284. 1 indexed citations
3.
Zeng, Junying, Yikui Zhai, Xudong Jia, et al.. (2025). Spatial Reconstruction and Joint Training in Transformer Network for Cross-Domain Remote Sensing Images Semantic Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18.
4.
Zhai, Yikui, et al.. (2025). Dimension Decoupling Vision-Language Transformer for industrial container marking and natural scene text spotting. Journal of Industrial Information Integration. 48. 100926–100926. 1 indexed citations
5.
Zhai, Yikui, et al.. (2024). DBCG-Net: Dual Branch Calibration Guided Deep Network for UAV Images Semantic Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 7932–7945. 1 indexed citations
6.
Genovese, Angelo, Vincenzo Piuri, & Fabio Scotti. (2024). A decision support system for acute lymphoblastic leukemia detection based on explainable artificial intelligence. Image and Vision Computing. 151. 105298–105298. 4 indexed citations
7.
Zhai, Yikui, et al.. (2024). Data-Driven Container Marking Detection and Recognition System With an Open Large-Scale Scene Text Dataset. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(5). 3368–3381. 2 indexed citations
8.
Coscia, Pasquale, Angelo Genovese, Fabio Scotti, & Vincenzo Piuri. (2024). Features Disentanglement For Explainable Convolutional Neural Networks. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 514–520.
9.
Pino, Carmelo, Alessandro Sitta, Angelo Messina, et al.. (2023). Intelligent Traction Inverter in Next Generation Electric Vehicles: The Health Monitoring of Silicon-Carbide Power Modules. IEEE Transactions on Intelligent Vehicles. 8(12). 4734–4753. 3 indexed citations
10.
Genovese, Angelo, et al.. (2023). Few-Shot Steel Surface Defect Recognition via Self-Supervised Teacher–Student Model With Min–Max Instances Similarity. IEEE Transactions on Instrumentation and Measurement. 72. 1–16. 6 indexed citations
11.
Qin, Chuanbo, Junying Zeng, Yikui Zhai, et al.. (2023). Dynamically aggregating MLPs and CNNs for skin lesion segmentation with geometry regularization. Computer Methods and Programs in Biomedicine. 238. 107601–107601. 14 indexed citations
12.
Genovese, Angelo, Vera Bernardoni, Vincenzo Piuri, Fabio Scotti, & Francesca Tessore. (2022). Photovoltaic Energy Prediction for New-Generation Cells with Limited Data: A Transfer Learning Approach. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 1–6. 4 indexed citations
13.
Barni, Mauro, Ruggero Donida Labati, Angelo Genovese, Vincenzo Piuri, & Fabio Scotti. (2021). Iris Deidentification With High Visual Realism for Privacy Protection on Websites and Social Networks. IEEE Access. 9. 131995–132010. 11 indexed citations
14.
Labati, Ruggero Donida, Angelo Genovese, Vincenzo Piuri, Fabio Scotti, & Gianluca Sforza. (2018). A Decision Support System for Wind Power Production. IEEE Transactions on Systems Man and Cybernetics Systems. 50(1). 290–304. 26 indexed citations
15.
Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, Vincenzo Piuri, & Fabio Scotti. (2018). 3-D Granulometry Using Image Processing. IEEE Transactions on Industrial Informatics. 15(3). 1251–1264. 9 indexed citations
16.
Labati, Ruggero Donida, Angelo Genovese, Enrique Muñoz, et al.. (2016). Computational intelligence for industrial and environmental applications. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 8–14. 4 indexed citations
17.
Labati, Ruggero Donida, Angelo Genovese, Vincenzo Piuri, & Fabio Scotti. (2015). Toward Unconstrained Fingerprint Recognition: A Fully Touchless 3-D System Based on Two Views on the Move. IEEE Transactions on Systems Man and Cybernetics Systems. 46(2). 202–219. 58 indexed citations
18.
Labati, Ruggero Donida, Angelo Genovese, Vincenzo Piuri, & Fabio Scotti. (2014). Touchless Fingerprint Biometrics: A Survey on 2D and 3D Technologies. 網際網路技術學刊. 15(3). 325–332. 31 indexed citations
19.
Labati, Ruggero Donida, Angelo Genovese, Vincenzo Piuri, & Fabio Scotti. (2013). Wildfire Smoke Detection Using Computational Intelligence Techniques Enhanced With Synthetic Smoke Plume Generation. IEEE Transactions on Systems Man and Cybernetics Systems. 43(4). 1003–1012. 49 indexed citations
20.
Labati, Ruggero Donida, Angelo Genovese, Vincenzo Piuri, & Fabio Scotti. (2013). Accurate 3D fingerprint virtual environment for biometric technology evaluations and experiment design. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 43–48. 7 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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