World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
22897
World Ranking
3000
National Ranking
181

Biology and Biochemistry

D-Index
68
Citations
28077
World Ranking
7623
National Ranking
591

Overview

Pietro Liò is affiliated with the University of Cambridge in the United Kingdom. Their research spans multiple fields and subfields, primarily focusing on computer science and biochemistry, genetics, and molecular biology. Within these domains, Liò's work covers artificial intelligence, molecular biology, computer vision and pattern recognition, radiology, nuclear medicine and imaging, and computational theory and mathematics.

Their main research topics include advanced graph neural networks, explainable artificial intelligence (XAI), machine learning applications in healthcare, computational drug discovery methods, machine learning in materials science, bioinformatics and genomic networks, and topic modeling.

Recent publications by Pietro Liò include:

  • Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans, 2020, Research Portal (King's College London)
  • Principal Neighbourhood Aggregation for Graph Nets, 2020, arXiv (Cornell University)
  • How artificial intelligence and machine learning can help healthcare systems respond to COVID-19, 2020, Machine Learning
  • Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques, 2021, IEEE Access
  • A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients, 2020, Expert Systems with Applications

Pietro Liò frequently co-authors with a number of researchers, among them:

  • Mohammad Ali Moni
  • Pietro Barbiero
  • Mateja Jamnik
  • Ramón Viñas
  • Tiago Azevedo

Their publications are often found in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • SSRN Electronic Journal

Best Publications

  • Graph Attention Networks

    Petar Veličković;Guillem Cucurull;Arantxa Casanova;Adriana Romero

  • Hematopoietic Stem Cells Reversibly Switch from Dormancy to Self-Renewal during Homeostasis and Repair

    Anne Wilson;Elisa Laurenti;Gabriela M. Oser;Richard C. van der Wath

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • The BioMart community portal: an innovative alternative to large, centralized data repositories

    Damian Smedley;Syed Haider;Steffen Durinck;Luca Pandini

  • Periodic gene expression program of the fission yeast cell cycle

    Gabriella Rustici;Juan Mata;Katja Kivinen;Pietro Lió

  • Deep Graph Infomax

    Petar Velickovic;William Fedus;William L. Hamilton;Pietro Liò

  • Molecular phylogenetics: state-of-the-art methods for looking into the past.

    Simon Whelan;Pietro Liò;Nick Goldman

  • Models of Molecular Evolution and Phylogeny

    Pietro Liò;Nick Goldman

  • Towards real-time community detection in large networks.

    Ian X. Y. Leung;Pan Hui;Pietro Liò;Jon Crowcroft

  • MeDuSa: a multi-draft based scaffolder

    Emanuele Bosi;Beatrice Donati;Marco Galardini;Sara Brunetti

  • A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.

    Simeon E. Spasov;Luca Passamonti;Andrea Duggento;Pietro Liò

  • Histidine biosynthetic pathway and genes: structure, regulation, and evolution.

    P Alifano;R Fani;P Liò;A Lazcano

  • Biometric evidence that sexual selection has shaped the hominin face.

    Eleanor M. Weston;Adrian E. Friday;Pietro Liò

  • Distinct Epigenomic Features in End-Stage Failing Human Hearts

    Mehregan Movassagh;Mun-Kit Choy;David A. Knowles;Lina Cordeddu

  • Predicting factors for survival of breast cancer patients using machine learning techniques

    Mogana Darshini Ganggayah;Nur Aishah Taib;Yip Cheng Har;Pietro Lio

  • Principal Neighbourhood Aggregation for Graph Nets

    Gabriele Corso;Luca Cavalleri;Dominique Beaini;Pietro Liò

  • Wavelets in bioinformatics and computational biology: state of art and perspectives.

    Pietro Liò

  • Collective human mobility pattern from taxi trips in urban area

    Chengbin Peng;Xiaogang Jin;Ka Chun Wong;Meixia Shi

  • Computational Modeling, Formal Analysis, and Tools for Systems Biology

    Ezio Bartocci;Pietro Lió

  • Towards Sparse Hierarchical Graph Classifiers.

    Catalina Cangea;Petar Velickovic;Nikola Jovanovic;Thomas Kipf

  • The glutamine 27 β2-adrenoceptor polymorphism is associated with elevated IgE levels in asthmatic families

    Dewar Jc;Wilkinson J;Wheatley A;Thomas Ns

Frequent Co-Authors

Renato Fani
Renato Fani University of Florence
Nicola Toschi
Nicola Toschi University of Rome Tor Vergata
Pan Hui
Pan Hui Hong Kong University of Science and Technology
Luca Passamonti
Luca Passamonti University of Cambridge
Jon Crowcroft
Jon Crowcroft University of Cambridge
Syed Haider
Syed Haider Institute of Cancer Research
Alessio Papini
Alessio Papini University of Florence
Nick Goldman
Nick Goldman European Bioinformatics Institute
Nicholas D. Lane
Nicholas D. Lane University of Cambridge
Anne Wilson
Anne Wilson University of Lausanne

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