World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
9014
World Ranking
7158
National Ranking
179

Overview

Francesco Piccialli is affiliated with the University of Naples Federico II in Italy and has contributed extensively to the fields of Computer Science and Engineering. Their research spans 139 publications in Computer Science and 81 in Engineering, with notable subfields including Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, and Biomedical Engineering.

The scientist's work addresses several key topics, among which are:

  • IoT and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data
  • Time Series Analysis and Forecasting
  • Traffic Prediction and Management Techniques
  • Blockchain Technology Applications and Security
  • COVID-19 diagnosis using AI
  • Mobile Crowdsensing and Crowdsourcing

Piccialli has published in multiple venues, with frequent contributions to:

  • arXiv (Cornell University)
  • IEEE Transactions on Industrial Informatics
  • Information Fusion
  • Future Generation Computer Systems
  • Neural Computing and Applications

Recent papers include:

  • A survey on deep learning in medicine: Why, how and when? (2020), published in Information Fusion
  • Scientific Machine Learning Through Physics-Informed Neural Networks: Where we are and What's Next (2022), published in Journal of Scientific Computing
  • From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where (2022), published in IEEE Transactions on Industrial Informatics
  • Model aggregation techniques in federated learning: A comprehensive survey (2023), published in Future Generation Computer Systems
  • Machine learning for landslides prevention: a survey (2020), published in Neural Computing and Applications

Collaborative work has been a consistent aspect of their research, frequently co-authoring with:

  • Fabio Giampaolo
  • Salvatore Cuomo
  • Gang Mei
  • Gwanggil Jeon
  • Diletta Chiaro

Best Publications

  • Model aggregation techniques in federated learning: A comprehensive survey

    Unknown

  • A survey on deep learning in medicine: Why, how and when?

    Francesco Piccialli;Vittorio Di Somma;Fabio Giampaolo;Salvatore Cuomo

  • Designing a Smart Museum: When Cultural Heritage Joins IoT

    Angelo Chianese;Francesco Piccialli

  • Machine learning for landslides prevention: a survey

    Zhengjing Ma;Gang Mei;Francesco Piccialli

  • Internet of Vehicles: Key Technologies, Network Model, Solutions and Challenges With Future Aspects

    Kashif Naseer Qureshi;Sadia Din;Gwanggil Jeon;Francesco Piccialli

  • The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic.

    Francesco Piccialli;Vincenzo Schiano di Cola;Fabio Giampaolo;Salvatore Cuomo

  • Smart environments and Cultural Heritage: a novel approach to create intelligent cultural spaces

    Angelo Chianese;Francesco Piccialli;Isabella Valente

  • A Framework for Pandemic Prediction Using Big Data Analytics

    Imran Ahmed;Misbah Ahmad;Gwanggil Jeon;Francesco Piccialli

  • The Talking Museum Project

    Flora Amato;Angelo Chianese;Antonino Mazzeo;Vincenzo Moscato

  • SOS: A multimedia recommender System for Online Social networks

    Flora Amato;Vincenzo Moscato;Antonio Picariello;Francesco Piccialli

  • Advanced Machine-Learning Methods for Brain-Computer Interfacing

    Zhihan Lv;Liang Qiao;Qingjun Wang;Francesco Piccialli

  • A Deep-Learning-Based Smart Healthcare System for Patient’s Discomfort Detection at the Edge of Internet of Things

    Imran Ahmed;Gwanggil Jeon;Francesco Piccialli

  • An accurate and dynamic predictive model for a smart M-Health system using machine learning

    Kashif Naseer Qureshi;Sadia Din;Gwanggil Jeon;Gwanggil Jeon;Francesco Piccialli

  • FL-FD: Federated learning-based fall detection with multimodal data fusion

    Unknown

  • IoT-based collaborative reputation system for associating visitors and artworks in a cultural scenario

    Salvatore Cuomo;Pasquale De Michele;Francesco Piccialli;Ardelio Galletti

  • Link quality and energy utilization based preferable next hop selection routing for wireless body area networks

    Kashif Naseer Qureshi;Sadia Din;Gwanggil Jeon;Gwanggil Jeon;Francesco Piccialli

  • A Robust Features-Based Person Tracker for Overhead Views in Industrial Environment

    Imran Ahmed;Awais Ahmad;Francesco Piccialli;Arun Kumar Sangaiah

  • A blockchain-based eHealthcare system interoperating with WBANs

    Junchao Wang;Kaining Han;Anastasios Alexandridis;Zhiyu Chen

  • SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution

    Unknown

  • Anomaly detection and trust authority in artificial intelligence and cloud computing

    Kashif Naseer Qureshi;Gwanggil Jeon;Francesco Piccialli

  • SmARTweet: A Location-Based Smart Application for Exhibits and Museums

    Angelo Chianese;Fiammetta Marulli;Vincenzo Moscato;Francesco Piccialli

  • Social recommendation service for cultural heritage

    Minsung Hong;Jason J. Jung;Francesco Piccialli;Angelo Chianese

  • An Associative Engines Based Approach Supporting Collaborative Analytics in the Internet of Cultural Things

    Angelo Chianese;Paolo Benedusi;Fiammetta Marulli;Francesco Piccialli

Frequent Co-Authors

Gwanggil Jeon
Gwanggil Jeon Incheon National University
Jason J. Jung
Jason J. Jung Chung-Ang University
Vincenzo Moscato
Vincenzo Moscato University of Naples Federico II
Awais Ahmad
Awais Ahmad University of Milan
Flora Amato
Flora Amato University of Naples Federico II
Nik Bessis
Nik Bessis Edge Hill University
Giancarlo Fortino
Giancarlo Fortino University of Calabria
Arun Kumar Sangaiah
Arun Kumar Sangaiah National Yunlin University of Science and Technology
Antonio Picariello
Antonio Picariello University of Naples Federico II
Tie Qiu
Tie Qiu Tianjin University

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