Gian Antonio Susto

4.1k total citations · 2 hit papers
140 papers, 2.6k citations indexed

About

Gian Antonio Susto is a scholar working on Artificial Intelligence, Control and Systems Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Gian Antonio Susto has authored 140 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 52 papers in Control and Systems Engineering and 46 papers in Industrial and Manufacturing Engineering. Recurrent topics in Gian Antonio Susto's work include Anomaly Detection Techniques and Applications (46 papers), Industrial Vision Systems and Defect Detection (44 papers) and Fault Detection and Control Systems (44 papers). Gian Antonio Susto is often cited by papers focused on Anomaly Detection Techniques and Applications (46 papers), Industrial Vision Systems and Defect Detection (44 papers) and Fault Detection and Control Systems (44 papers). Gian Antonio Susto collaborates with scholars based in Italy, Germany and United Kingdom. Gian Antonio Susto's co-authors include Alessandro Beghi, Seán McLoone, Simone Pampuri, Andrea Schirru, Miroslav Krstić, Matteo Terzi, Lucas Costa Brito, Marcus Antônio Viana Duarte, Jorge Nei Brito and Chiara Masiero and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Gian Antonio Susto

126 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine Learning for Predictive Maintenance: A Multiple Classifier Approach

2014 530 citations Gian Antonio Susto, Seán McLoone et al. profile →
An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery

2022 198 citations Lucas Costa Brito, Gian Antonio Susto et al. profile →

Peers

Countries citing papers authored by Gian Antonio Susto

Since Specialization

Citations

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

Fields of papers citing papers by Gian Antonio Susto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gian Antonio Susto. 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 Gian Antonio Susto. The network helps show where Gian Antonio Susto may publish in the future.

Co-authorship network of co-authors of Gian Antonio Susto

This figure shows the co-authorship network connecting the top 25 collaborators of Gian Antonio Susto. A scholar is included among the top collaborators of Gian Antonio Susto 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 Gian Antonio Susto. Gian Antonio Susto 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

#	Work	Indexed citations
1	Finetuning Deep Reinforcement Learning Policies with Evolutionary Strategies for Control of Underactuated Robots 2025 ·IFAC-PapersOnLine ·(unknown), (unknown), (unknown), Ruggero Carli, Gian Antonio Susto	0
2	Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent 2025 ·IEEE Transactions on Automation Science and Engineering ·(unknown), (unknown), (unknown), Mirco Ravanelli, Gian Antonio Susto	1
3	Fortifying smart grid stability: Defending against adversarial attacks and measurement anomalies 2025 ·Sustainable Energy Grids and Networks ·(unknown), (unknown), Gian Antonio Susto, Chuadhry Mujeeb Ahmed, Mirco Rampazzo	0
4	Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing 2025 ·IEEE Transactions on Automation Science and Engineering ·(unknown), (unknown), (unknown), (unknown), Samuele Salti, Gian Antonio Susto	0
5	Experience: Bridging Data Measurement and Ethical Challenges with Extended Data Briefs 2025 ·Journal of Data and Information Quality ·(unknown), Antonio Vetrò, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Marco Torchiano, Juan Carlos De Martin	1
6	Deep learning-based quality prediction for multi-stage sequential hot rolling processes in heavy rail manufacturing 2024 ·Computers & Industrial Engineering ·(unknown), Alessandro Beghi, Gian Antonio Susto, Zhimin Lv	2
7	Enhancing interpretability and generalizability in extended isolation forests 2024 ·Engineering Applications of Artificial Intelligence ·(unknown), (unknown), Chiara Masiero, Gian Antonio Susto	2
8	An AI-Enabled Framework for Smart Semiconductor Manufacturing 2024 ·Research Padua Archive (University of Padua) ·(unknown), D. Appello, Alessandro Beghi, (unknown), (unknown), Santa Di Cataldo, (unknown), (unknown), Michele Lora, Enrico Macii, (unknown), (unknown), (unknown), Gian Antonio Susto, Sara Vinco	2
9	On the limitations of adversarial training for robust image classification with convolutional neural networks 2024 ·Information Sciences ·(unknown), (unknown), Matteo Terzi, Gian Antonio Susto	3
10	Improving robustness with image filtering 2024 ·Neurocomputing ·Matteo Terzi, (unknown), Gian Antonio Susto	0
11	Adversarially Robust Fault Zone Prediction in Smart Grids With Bayesian Neural Networks 2024 ·IEEE Access ·(unknown), (unknown), (unknown), Gian Antonio Susto, Mirco Rampazzo	5
12	Fault Diagnosis using eXplainable AI: A transfer learning-based approach for rotating machinery exploiting augmented synthetic data 2023 ·Expert Systems with Applications ·Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antônio Viana Duarte	60
13	Introduction to the special issue on Intelligent Control and Optimisation 2023 ·Engineering Applications of Artificial Intelligence ·Seán McLoone, Kevin Guelton, (unknown), Gian Antonio Susto, Juš Kocijan, Diego Romeres	1
14	Bayesian active learning isolation forest (B-ALIF): A weakly supervised strategy for anomaly detection 2023 ·Engineering Applications of Artificial Intelligence ·(unknown), (unknown), Gian Antonio Susto	6
15	A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring 2023 ·Engineering Applications of Artificial Intelligence ·(unknown), (unknown), Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto	6
16	AcME—Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box 2022 ·Expert Systems with Applications ·(unknown), Chiara Masiero, (unknown), (unknown), Gian Antonio Susto	22
17	Uncertainty Estimation for Machine Learning Models in Multiphase Flow Applications 2021 ·Informatics ·(unknown), Gian Antonio Susto, (unknown), E. Feltresi	6
18	DBAM: Making Virtual Metrology/Soft sensing with time series data scalable through Deep Learning 2021 ·Control Engineering Practice ·(unknown), (unknown), Andreas Kyek, Gian Antonio Susto, (unknown)	8
19	Machine Learning-Based Soft Sensors for the Estimation of Laundry Moisture Content in Household Dryer Appliances 2019 ·Energies ·(unknown), (unknown), Alessandro Beghi, Leandro dos Santos Coelho, (unknown), (unknown), Mirco Rampazzo, Gilberto Reynoso-Meza, Gian Antonio Susto	9
20	Deep learning for virtual metrology: Modeling with optical emission spectroscopy data 2017 ·Research Padua Archive (University of Padua) ·Matteo Terzi, Chiara Masiero, Alessandro Beghi, (unknown), Gian Antonio Susto	14

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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