Antonio Liotta
About
In The Last Decade
Antonio Liotta
217 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Computer Networks and Communications 1.6k
- Computer Vision and Pattern Recognition 1.6k
- Electrical and Electronic Engineering 1.1k
- Artificial Intelligence 884
- Signal Processing 447
Countries citing papers authored by Antonio Liotta
This map shows the geographic impact of Antonio Liotta'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 Antonio Liotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Liotta more than expected).
Fields of papers citing papers by Antonio Liotta
This network shows the impact of papers produced by Antonio Liotta. 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 Antonio Liotta. The network helps show where Antonio Liotta may publish in the future.
Co-authorship network of co-authors of Antonio Liotta
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Liotta. A scholar is included among the top collaborators of Antonio Liotta 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 Antonio Liotta. Antonio Liotta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | An experimental comparison of deep learning models for pneumonia classification from chest X-ray images | Biomedical Signal Processing and Control | Hanan Aljuaid, Antonio Liotta et al. | 0 |
| 2 | A hierarchical probabilistic underwater image enhancement model with reinforcement tuning | Journal of Visual Communication and Image Representation | Wei Song, Minghua Zhang et al. | 2 |
| 3 | Deep Learning Based Multi Pose Human Face Matching System | IEEE Access | Abd Ullah Khan, Mohsin Raza Jafri et al. | 6 |
| 4 | Short-Term Forecasting of Non-Stationary Time Series | SHILAP Revista de lepidopterología | Antonio Liotta, Alexander Jacob et al. | 0 |
| 5 | Comparative study of deep learning techniques for DeepFake video detection | ICT Express | Imran Usman, Muhammad Moid Sandhu et al. | 5 |
| 6 | Network Connectivity Under a Probabilistic Node Failure Model | IEEE Transactions on Network Science and Engineering | Lucia Cavallaro, Stefania Costantini et al. | 5 |
| 7 | Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study | Sensors | Mario Di Mauro, Ashiq Anjum et al. | 9 |
| 8 | Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map breakdown → | IEEE Transactions on Broadcasting | Wei Song, Yan Wang et al. | 249 |
| 9 | Improved Particle Swarm Optimization for Sea Surface Temperature Prediction | Energies | Qile He, Wei Song et al. | 21 |
| 10 | Recent Advances in the Processing and Rendering Algorithms for Computer-Generated Holography | Electronics | R. Corda, Daniele Giusto et al. | 11 |
| 11 | Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks | IEEE Access | Claudio Savaglio, Pasquale Pace et al. | 95 |
| 12 | A Review of Predictive Quality of Experience Management in Video Streaming Services | IEEE Transactions on Broadcasting | Maria Torres Vega, Cristian Perra et al. | 44 |
| 13 | Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance | Information Fusion | Francesco Cauteruccio, Giancarlo Fortino et al. | 76 |
| 14 | An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0 | IEEE Transactions on Industrial Informatics | Pasquale Pace, Gianluca Aloi et al. | 267 |
| 15 | On-Line Building Energy Optimization Using Deep Reinforcement Learning breakdown → | IEEE Transactions on Smart Grid | Elena Mocanu, Decebal Constantin Mocanu et al. | 449 |
| 16 | A task-based architecture for autonomic body sensor networks | Data Archiving and Networked Services (DANS) | Stefano Galzarano, Giancarlo Fortino et al. | 1 |
| 17 | QoE analysis of a peer-to-peer television system | TU/e Research Portal | Antonio Liotta et al. | 10 |
| 18 | Supporting adaptation-aware services through the virtual home environment | TU/e Research Portal (Eindhoven University of Technology) | Antonio Liotta, George Pavlou et al. | 1 |
| 19 | On the performance and scalability of decentralised monitoring using mobile Agents | Antonio Liotta, George Pavlou et al. | 6 | |
| 20 | Decomposition Patterns for Mobile-Code-based Management | UCL Discovery (University College London) | Antonio Liotta et al. | 1 |
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.