Antonio Liotta

8.0k citations
231 papers · 4.9k · 5 hit papers · h-index 32

Impact in

Papers in

Antonio Liotta

217 papers receiving 4.7k citations

Antonio Liotta's Hit Papers

A systematic review and analysis of deep learning-based underwater object detection 2023 · 161 citations
1610+2+5Years since publication100200300400

Peers

Antonio Liotta
Comparison fields: 5 of 155
  • Computer Vision and Pattern Recognition 1.6k
  • Computer Networks and Communications 1.6k
  • Signal Processing 447
  • Media Technology 327
  • Artificial Intelligence 884
Replace Zhu Xiao with:
Zhu Xiao China
R. Simon Sherratt United Kingdom
Weibo Liu China
Ruili Wang New Zealand
Zhikui Chen China
Huadóng Ma China
Muhammad Sajjad South Korea
Ling Guan Canada
Rongfang Bie China
Amin Ullah South Korea
Antonio Liotta relative to Zhu Xiao China Zhu Xiao's profile →
Citations per field
00.5×3.4×
Zhu Xiao · 1×
Citations per year

Countries citing papers authored by Antonio Liotta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Antonio Liotta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Antonio Liotta Line = papers co-authored together Antonio Liotta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 231 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On-Line Building Energy Optimization Using Deep Reinforcement Learning
Hit paper breakdown →
2018449
2
A systematic review on affective computing: emotion models, databases, and recent advances
Hit paper breakdown →
2022298
3 2018267
4
Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map
Hit paper breakdown →
2020249
5 2019196
6
A systematic review and analysis of deep learning-based underwater object detection
Hit paper breakdown →
2023161
7
Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning
Hit paper breakdown →
2022139
8 2021133
9 2016104
10 201995
11 201888
12 202077
13 201876
14 200866
15 201560
16 200960
17 201756
18 200655
19 202053
20 201851

About Antonio Liotta

Antonio Liotta is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Sociology and Political Science, having authored 231 papers that have together received 4.9k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (49 papers), Peer-to-Peer Network Technologies (31 papers), Energy Efficient Wireless Sensor Networks (27 papers), Caching and Content Delivery (26 papers), Multimedia Communication and Technology (23 papers), Video Coding and Compression Technologies (18 papers), Mobile Agent-Based Network Management (15 papers) and Anomaly Detection Techniques and Applications (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Computer Networks and Communications (1.6k citations), Signal Processing (447 citations), Media Technology (327 citations) and Artificial Intelligence (884 citations). Antonio Liotta has collaborated with scholars based in Netherlands, United Kingdom and Italy. Frequent co-authors include Giancarlo Fortino, Wei Song, Decebal Constantin Mocanu, Yan Wang, Georgios Exarchakos, Cristian Perra, Vlado Menkovski, Elena Mocanu, Phuong H. Nguyen and Madeleine Gibescu. Their work appears in journals such as IEEE Access, Information Fusion, Sensors, Future Generation Computer Systems and IEEE Transactions on Broadcasting.

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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