Jó Ueyama

4.1k total citations
143 papers, 2.7k citations indexed

About

Jó Ueyama is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jó Ueyama has authored 143 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Networks and Communications, 43 papers in Electrical and Electronic Engineering and 32 papers in Artificial Intelligence. Recurrent topics in Jó Ueyama's work include Energy Efficient Wireless Sensor Networks (24 papers), IoT and Edge/Fog Computing (18 papers) and Context-Aware Activity Recognition Systems (14 papers). Jó Ueyama is often cited by papers focused on Energy Efficient Wireless Sensor Networks (24 papers), IoT and Edge/Fog Computing (18 papers) and Context-Aware Activity Recognition Systems (14 papers). Jó Ueyama collaborates with scholars based in Brazil, United States and United Kingdom. Jó Ueyama's co-authors include Gustavo Pessin, Bruno S. Faiçal, Geraldo P. Rocha Filho, Leandro A. Villas, Bhaskar Krishnamachari, Leandro Yukio Mano, Rodolfo I. Meneguette, Heitor Freitas, Pedro Henrique Gomes and Torsten Braun and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Jó Ueyama

130 papers receiving 2.5k citations

Peers

Jó Ueyama
Θωμάς Λάγκας Greece
Pradeep Kumar Singh India
José-Fernán Martí­nez-Ortega Spain
Abdellah Chehri Canada
Moez Krichen Tunisia
Muhammad Mansoor Alam Malaysia
Jian Wang China
Li-Minn Ang Australia
Saeed Hamood Alsamhi Ireland
Partha Pratim Ray India
Θωμάς Λάγκας Greece
Jó Ueyama
Citations per year, relative to Jó Ueyama Jó Ueyama (= 1×) peers Θωμάς Λάγκας

Countries citing papers authored by Jó Ueyama

Since Specialization
Citations

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

Fields of papers citing papers by Jó Ueyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jó Ueyama

This figure shows the co-authorship network connecting the top 25 collaborators of Jó Ueyama. A scholar is included among the top collaborators of Jó Ueyama 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 Jó Ueyama. Jó Ueyama 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.
Ramachandran, Gowri, et al.. (2025). Tokenized Peer Review: An Adaptive Blockchain Mechanism for Open Source Supply Chains. Journal of Network and Systems Management. 34(1).
2.
Spohn, Marco Aurélio, et al.. (2025). A Systematic Review on Wake-up Radios Applied to Wireless Sensor Networks. Journal of Computer Science. 21(3). 566–583.
3.
Ueyama, Jó, et al.. (2024). Blockchain-based data governance for privacy-preserving in multi-stakeholder settings. 161–168. 2 indexed citations
4.
5.
Souza, Paulo Sérgio Lopes de, et al.. (2023). Performance analysis of a Vehicular Ad Hoc network Using LoRa technology and IoT devices in Amazon Rivers. Ad Hoc Networks. 152. 103301–103301. 6 indexed citations
6.
Meneguette, Rodolfo I., Leandro Yukio Mano, Vinícius P. Gonçalves, et al.. (2022). Federated System for Transport Mode Detection. Energies. 15(23). 9256–9256. 7 indexed citations
7.
Cazzolato, Mirela T., et al.. (2021). Modeling and Assessing the Temporal Behavior of Emotional and Depressive User Interactions on Social Networks. IEEE Access. 9. 93182–93194. 6 indexed citations
8.
Cazzolato, Mirela T., et al.. (2021). Tracing the Emotional Roadmap of Depressive Users on Social Media Through Sequential Pattern Mining. IEEE Access. 9. 97621–97635. 5 indexed citations
9.
Filho, Geraldo P. Rocha, Pedro Henrique Gomes, Gustavo Freitas, et al.. (2019). Towards a Smart Fault Tolerant Indoor Localization System Through Recurrent Neural Networks. 1–7. 10 indexed citations
10.
Mano, Leandro Yukio, Alessandra Mazzo, Cezar Kayzuka Cotta Filho, et al.. (2019). The Relation of Satisfaction, Self-Confidence and Emotion in a Simulated Environment. International Journal of Nursing Education Scholarship. 16(1). 20 indexed citations
11.
Filho, Geraldo P. Rocha, et al.. (2018). VERBO: Voice Emotion Recognition dataBase in Portuguese Language. Journal of Computer Science. 14(11). 1420–1430. 11 indexed citations
12.
Maia, Guilherme, et al.. (2014). Uma solução ciente do consumo de energia para os problemas de localização 3D e sincronização em RSSFs. Anais. 1 indexed citations
13.
Horita, Flávio, et al.. (2014). AGORA-GeoDash: A Geosensor Dashboard for Real-time Flood Risk Monitoring. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 5 indexed citations
14.
Pessin, Gustavo, Jefferson R. Souza, Fernando Santos Osório, et al.. (2014). Investigation on the evolution of a robotic controller for autonomous vehicle navigation. Journal of Intelligent & Fuzzy Systems. 27(6). 3047–3058. 2 indexed citations
15.
Degrossi, Lívia Castro, et al.. (2013). Using wireless sensor networks in the sensor web for flood monitoring in Brazil.. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 20 indexed citations
16.
Costa, Fausto Guzzo da, Jó Ueyama, Torsten Braun, et al.. (2012). The use of unmanned aerial vehicles and wireless sensor network in agricultural applications. 5045–5048. 122 indexed citations
17.
Pessin, Gustavo, Fernando Santos Osório, Jó Ueyama, Denis F. Wolf, & Torsten Braun. (2011). Mobile Robot Indoor Localization Using Artificial Neural Networks and Wireless Networks. Bern Open Repository and Information System (University of Bern). 2 indexed citations
18.
19.
Gonçalves, Vinícius P., Vânia Paula de Almeida Néris, & Jó Ueyama. (2011). Interação de idosos com celulares: flexibilidade para atender a diversidade. 343–352. 5 indexed citations
20.
Coulson, Geoff, Gordon S. Blair, Paul Grace, et al.. (2004). A Component Model for Building Systems Software. Murdoch Research Repository (Murdoch University). 684–689. 40 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.

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