József Sütő

578 total citations
29 papers, 399 citations indexed

About

József Sütő is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, József Sütő has authored 29 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 9 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in József Sütő's work include Context-Aware Activity Recognition Systems (11 papers), IoT and Edge/Fog Computing (8 papers) and Smart Agriculture and AI (6 papers). József Sütő is often cited by papers focused on Context-Aware Activity Recognition Systems (11 papers), IoT and Edge/Fog Computing (8 papers) and Smart Agriculture and AI (6 papers). József Sütő collaborates with scholars based in Hungary, Romania and Canada. József Sütő's co-authors include Stefan Oniga, Petrică C. Pop, Claudiu Lung, János Végh and Tianyu Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Neural Computing and Applications.

In The Last Decade

József Sütő

28 papers receiving 382 citations

Peers

József Sütő
Hai Vu Vietnam
Kwang‐Seok Hong South Korea
Sudhir Rao Rupanagudi India
Sundara Tejaswi Digumarti Switzerland
Yan Zhai China
Michael Hale United Kingdom
Xiaodong Duan China
Zaw Zaw Htike Malaysia
Vittorio Mazzia Italy
Hai Vu Vietnam
József Sütő
Citations per year, relative to József Sütő József Sütő (= 1×) peers Hai Vu

Countries citing papers authored by József Sütő

Since Specialization
Citations

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

Fields of papers citing papers by József Sütő

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by József Sütő. 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 József Sütő. The network helps show where József Sütő may publish in the future.

Co-authorship network of co-authors of József Sütő

This figure shows the co-authorship network connecting the top 25 collaborators of József Sütő. A scholar is included among the top collaborators of József Sütő 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 József Sütő. József Sütő is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
3.
Sütő, József. (2023). Hardware and Software Support for Insect Pest Management. Agriculture. 13(9). 1818–1818. 2 indexed citations
4.
Sütő, József. (2023). Improving the generalization capability of YOLOv5 on remote sensed insect trap images with data augmentation. Multimedia Tools and Applications. 83(9). 27921–27934. 3 indexed citations
5.
Sütő, József. (2022). Codling Moth Monitoring with Camera-Equipped Automated Traps: A Review. Agriculture. 12(10). 1721–1721. 20 indexed citations
6.
Sütő, József. (2021). Embedded System-Based Sticky Paper Trap with Deep Learning-Based Insect-Counting Algorithm. Electronics. 10(15). 1754–1754. 27 indexed citations
7.
Sütő, József. (2021). Real-Time Lane Line Tracking Algorithm to Mini Vehicles. Transport and Telecommunication Journal. 22(4). 461–470. 6 indexed citations
8.
Sütő, József. (2021). The effect of hyperparameter search on artificial neural network in human activity recognition. Open Computer Science. 11(1). 411–422. 7 indexed citations
9.
Sütő, József. (2020). Plant leaf recognition with shallow and deep learning: A comprehensive study. Intelligent Data Analysis. 24(6). 1311–1328. 4 indexed citations
10.
Sütő, József, Stefan Oniga, & Petrică C. Pop. (2018). Music stimuli recognition from electroencephalogram signal with machine learning. 260–264. 2 indexed citations
11.
Sütő, József & Stefan Oniga. (2018). Efficiency investigation from shallow to deep neural network techniques in human activity recognition. Cognitive Systems Research. 54. 37–49. 24 indexed citations
12.
Sütő, József & Stefan Oniga. (2018). Music Stimuli Recognition in Electroencephalogram Signal. Elektronika ir Elektrotechnika. 24(4). 68–71. 12 indexed citations
13.
Sütő, József, et al.. (2017). Recognition rate difference between real-time and offline human activity recognition. University of Debrecen Electronic Archive (University of Debrecen). 1. 1–6. 7 indexed citations
14.
Sütő, József, Stefan Oniga, & Petrică C. Pop. (2016). Comparison of wrapper and filter feature selection algorithms on human activity recognition. University of Debrecen Electronic Archive (University of Debrecen). 124–129. 48 indexed citations
15.
Sütő, József & Stefan Oniga. (2015). A New Relation between “Twiddle Factors” in the Fast Fourier Transformation. Elektronika ir Elektrotechnika. 21(4). 56–59. 1 indexed citations
16.
Oniga, Stefan & József Sütő. (2014). Human activity recognition using neural networks. University of Debrecen Electronic Archive (University of Debrecen). 403–406. 44 indexed citations
17.
Sütő, József & Stefan Oniga. (2013). FPGA implemented reduced Ethernet MAC. University of Debrecen Electronic Archive (University of Debrecen). 29–32. 2 indexed citations
18.
Sütő, József, et al.. (2013). Microcontroller based health monitoring system. 5. 227–230. 7 indexed citations
19.
Sütő, József. (2012). Remote controlled data collector robot. SHILAP Revista de lepidopterología. 6 indexed citations
20.
Sütő, József, et al.. (2012). Developing a general purpose data collector framework for robots. University of Debrecen Electronic Archive (University of Debrecen). 690–693. 5 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hai Vu Breakdown of academic impact, for papers by Kwang‐Seok Hong Breakdown of academic impact, for papers by Sudhir Rao Rupanagudi Breakdown of academic impact, for papers by Sundara Tejaswi Digumarti Breakdown of academic impact, for papers by Yan Zhai Breakdown of academic impact, for papers by Michael Hale Breakdown of academic impact, for papers by Xiaodong Duan Breakdown of academic impact, for papers by Zaw Zaw Htike Breakdown of academic impact, for papers by Vittorio Mazzia
Rankless by CCL
2026