Lucia Cascone

568 total citations
35 papers, 293 citations indexed

About

Lucia Cascone is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Lucia Cascone has authored 35 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 9 papers in Information Systems. Recurrent topics in Lucia Cascone's work include Face recognition and analysis (8 papers), User Authentication and Security Systems (7 papers) and Biometric Identification and Security (7 papers). Lucia Cascone is often cited by papers focused on Face recognition and analysis (8 papers), User Authentication and Security Systems (7 papers) and Biometric Identification and Security (7 papers). Lucia Cascone collaborates with scholars based in Italy, Saudi Arabia and Pakistan. Lucia Cascone's co-authors include Michele Nappi, Fabio Narducci, Muhammad Umer, Ignazio Passero, Chiara Pero, Carmen Bisogni, Aniello Castiglione, Hafeez Ur Rehman Siddiqui, Saleem Ullah and Saima Sadiq and has published in prestigious journals such as IEEE Access, Pattern Recognition and Computer.

In The Last Decade

Lucia Cascone

31 papers receiving 285 citations

Peers

Lucia Cascone

CVPR

EEE

Sirui Zhao China

Sudeshna Chakraborty India

Mohammed Rashid Ahmed Türkiye

Norah Alnaim Saudi Arabia

Nicola Falcionelli Italy

Achin Jain India

Ahmad Sami Al‐Shamayleh Jordan

Ahmed Alghamdi Saudi Arabia

Omar Shaikh United States

Sirui Zhao China

Lucia Cascone

160 ×1.7

CVPR

163 ×1.9

24 ×0.5

23 ×0.6

35 ×0.9

EEE

Citations per year, relative to Lucia Cascone Lucia Cascone (= 1×) peers Sirui Zhao

Countries citing papers authored by Lucia Cascone

Since Specialization

Citations

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

Fields of papers citing papers by Lucia Cascone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucia Cascone

This figure shows the co-authorship network connecting the top 25 collaborators of Lucia Cascone. A scholar is included among the top collaborators of Lucia Cascone 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 Lucia Cascone. Lucia Cascone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Byeon, Haewon, et al.. (2025). Lightweight AI and Blockchain Optimization for Enhancing Consumer Electronics Decision-Making. IEEE Transactions on Consumer Electronics. 71(2). 6007–6015. 2 indexed citations

Bilal, Hazrat, Sushil Kumar Singh, Abdullah M. Alnajim, et al.. (2025). Optimized Attention Assisted Network for Forensic-Aware Malware Detection in Consumer Electronics. IEEE Transactions on Consumer Electronics. 71(4). 11113–11120.

Zhai, Wenzhe, Jianyong Wang, Mingliang Gao, et al.. (2025). Towards generalizable object counting via dual-prompted cross-modality fusion network. Information Fusion. 127. 103837–103837.

Abate, Andrea F., Lucia Cascone, & Michele Nappi. (2025). Ricci curvature discretizations for head pose estimation from a single image. Pattern Recognition. 166. 111648–111648.

Gu, Naijie, et al.. (2025). Advancing brain tumor segmentation and grading through integration of FusionNet and IBCO-based ALCResNet. Image and Vision Computing. 154. 105432–105432.

Wang, Rui, et al.. (2025). RAFT: Robust Adversarial Fusion Transformer for multimodal sentiment analysis. Array. 27. 100445–100445. 4 indexed citations

Ghazal, Taher M., Mohammad Kamrul Hasan, Abdelrahman H. Hussein, et al.. (2025). Federated Learning With Small and Large Models With Privacy-Preserving Data Space for Holographic Internet of Things in Consumer Electronics. IEEE Transactions on Consumer Electronics. 71(2). 5259–5274. 2 indexed citations

Alrowais, Fadwa, et al.. (2024). An improved skin lesion detection solution using multi-step preprocessing features and NASNet transfer learning model. Image and Vision Computing. 144. 104969–104969. 5 indexed citations

Umer, Muhammad, et al.. (2024). Enhancing fall prediction in the elderly people using LBP features and transfer learning model. Image and Vision Computing. 145. 104992–104992. 5 indexed citations

10.

Bisogni, Carmen, Lucia Cascone, Michele Nappi, & Chiara Pero. (2024). IoT-enabled Biometric Security: Enhancing Smart Car Safety with Depth-based Head Pose Estimation. ACM Transactions on Multimedia Computing Communications and Applications. 20(6). 1–24. 6 indexed citations

11.

Umer, Muhammad, et al.. (2024). Cyberbullying Detection Using PCA Extracted GLOVE Features and RoBERTaNet Transformer Learning Model. IEEE Transactions on Computational Social Systems. 12(5). 3881–3890. 3 indexed citations

12.

Cascone, Lucia, et al.. (2024). A novel approach for breast cancer detection using optimized ensemble learning framework and XAI. Image and Vision Computing. 142. 104910–104910. 27 indexed citations

13.

Cascone, Lucia, Vincenzo Loia, Michele Nappi, & Fabio Narducci. (2024). Soft Biometrics for Cybersecurity: Ongoing Revolution for Industry 4.0. Computer. 57(1). 40–50. 1 indexed citations

14.

Umer, Muhammad, et al.. (2024). Artificial intelligence-driven predictive framework for early detection of still birth. SLAS TECHNOLOGY. 29(6). 100203–100203. 2 indexed citations

15.

Cascone, Lucia, Zhiwei Gao, & Michele Nappi. (2023). Biometrics for Industry 4.0: a survey of recent applications. Journal of Ambient Intelligence and Humanized Computing. 14(8). 11239–11261. 7 indexed citations

16.

Wang, Hongyu, Dandan Zhang, Jun Feng, et al.. (2023). A multi-objective segmentation method for chest X-rays based on collaborative learning from multiple partially annotated datasets. Information Fusion. 102. 102016–102016. 17 indexed citations

17.

Bisogni, Carmen, Lucia Cascone, Jean‐Luc Dugelay, & Chiara Pero. (2021). Adversarial attacks through architectures and spectra in face recognition. Pattern Recognition Letters. 147. 55–62. 14 indexed citations

18.

Bisogni, Carmen, Lucia Cascone, Aniello Castiglione, & Ignazio Passero. (2021). Deep learning for emotion driven user experiences. Pattern Recognition Letters. 152. 115–121. 8 indexed citations

19.

Abate, Andrea F., Paola Barra, Carmen Bisogni, Lucia Cascone, & Ignazio Passero. (2020). Contextual Trust Model With a Humanoid Robot Defense for Attacks to Smart Eco-Systems. IEEE Access. 8. 207404–207414. 11 indexed citations

20.

Abate, Andrea F., et al.. (2020). Social Robot Interactions for Social Engineering: Opportunities and Open Issues. CINECA IRIS Institutial research information system (Parthenope University of Naples). 9 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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