Francisco Souza

1.1k total citations · 1 hit paper
47 papers, 820 citations indexed

About

Francisco Souza is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Francisco Souza has authored 47 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Control and Systems Engineering, 23 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Francisco Souza's work include Fault Detection and Control Systems (23 papers), Advanced Control Systems Optimization (15 papers) and Neural Networks and Applications (13 papers). Francisco Souza is often cited by papers focused on Fault Detection and Control Systems (23 papers), Advanced Control Systems Optimization (15 papers) and Neural Networks and Applications (13 papers). Francisco Souza collaborates with scholars based in Portugal, Netherlands and Brazil. Francisco Souza's co-authors include Rui Araújo, Jérôme Mendes, Carlos Henggeler Antunes, Cristiano Premebida, Nuno Gonçalves, Jorge Landeck, João P. Barreto, Luiz H. S. C. Barreto, Grover V. Torrico-Bascopé and Urbano Nunes and has published in prestigious journals such as Water Resources Research, Expert Systems with Applications and Energy.

In The Last Decade

Francisco Souza

46 papers receiving 804 citations

Hit Papers

Review of soft sensor methods for regression applications 2015 2026 2018 2022 2015 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francisco Souza Portugal 15 466 305 136 108 57 47 820
Jérôme Mendes Portugal 15 434 0.9× 280 0.9× 111 0.8× 98 0.9× 41 0.7× 53 807
Qingqiang Sun China 7 502 1.1× 285 0.9× 213 1.6× 51 0.5× 58 1.0× 17 765
Dakuo He China 19 466 1.0× 227 0.7× 308 2.3× 177 1.6× 72 1.3× 113 1.0k
Mahmud Iwan Solihin Malaysia 13 447 1.0× 140 0.5× 146 1.1× 131 1.2× 73 1.3× 81 892
Ratko Grbić Croatia 13 591 1.3× 178 0.6× 248 1.8× 62 0.6× 135 2.4× 65 1.1k
Xiangguang Chen China 15 449 1.0× 182 0.6× 173 1.3× 123 1.1× 92 1.6× 57 795
Huaiping Jin China 19 546 1.2× 237 0.8× 174 1.3× 133 1.2× 111 1.9× 56 1.0k
Zhizhong Mao China 17 334 0.7× 459 1.5× 251 1.8× 115 1.1× 58 1.0× 58 853
Gongming Wang China 12 262 0.6× 279 0.9× 58 0.4× 83 0.8× 15 0.3× 27 636
Lingjian Ye China 20 867 1.9× 260 0.9× 288 2.1× 58 0.5× 90 1.6× 103 1.2k

Countries citing papers authored by Francisco Souza

Since Specialization
Citations

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

Fields of papers citing papers by Francisco Souza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Souza

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Souza. A scholar is included among the top collaborators of Francisco Souza 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 Francisco Souza. Francisco Souza 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.
Miranda, Rafael de Carvalho, et al.. (2025). Optimizing hybrid systems and energy storage: Self-sufficiency and economic viability under metering policy changes. Energy. 335. 138258–138258.
2.
Souza, Francisco, et al.. (2025). Integrating Expert and Physics Knowledge for Modeling Heat Load in District Heating Systems. IEEE Transactions on Industrial Informatics. 21(5). 3955–3965. 2 indexed citations
3.
Souza, Francisco, et al.. (2024). Hybrid Modeling for Photovoltaic Module Operating Temperature Estimation. IEEE Journal of Photovoltaics. 14(3). 488–496. 4 indexed citations
4.
Souza, Francisco, et al.. (2024). BaHys—A Bayesian Modeling Framework for Long‐Term Concentration‐Discharge Hysteresis: A Case Study on Chloride. Water Resources Research. 60(6). 2 indexed citations
5.
Mendes, Jérôme, et al.. (2024). Distilling Complex Knowledge Into Explainable T–S Fuzzy Systems. IEEE Transactions on Fuzzy Systems. 33(3). 1037–1048. 3 indexed citations
6.
Mendes, Jérôme, et al.. (2023). Hybrid LSTM-Fuzzy System to Model a Sulfur Recovery Unit. 281–288. 1 indexed citations
7.
Mendes, Jérôme, et al.. (2023). Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability. International Journal of Fuzzy Systems. 25(7). 2568–2589. 8 indexed citations
8.
Souza, Francisco, Cristiano Premebida, & Rui Araújo. (2022). High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection. Pattern Recognition. 131. 108895–108895. 24 indexed citations
10.
Souza, Francisco, Jérôme Mendes, & Rui Araújo. (2021). A Regularized Mixture of Linear Experts for Quality Prediction in Multimode and Multiphase Industrial Processes. Applied Sciences. 11(5). 2040–2040. 6 indexed citations
11.
Danishvar, Sebelan, et al.. (2021). Coarse Return Prediction in a Cement Industry’s Closed Grinding Circuit System through a Fully Connected Deep Neural Network (FCDNN) Model. Applied Sciences. 11(4). 1361–1361. 7 indexed citations
13.
Premebida, Cristiano, Diego R. Faria, Francisco Souza, & Urbano Nunes. (2015). Applying probabilistic Mixture Models to semantic place classification in mobile robotics. 4265–4270. 14 indexed citations
14.
Souza, Francisco, et al.. (2015). On-line sequential extreme learning machine based on recursive partial least squares. Journal of Process Control. 27. 15–21. 23 indexed citations
15.
Souza, Francisco, Rui Araújo, & Jérôme Mendes. (2015). Review of soft sensor methods for regression applications. Chemometrics and Intelligent Laboratory Systems. 152. 69–79. 249 indexed citations breakdown →
16.
17.
Mendes, Jérôme, Rui Araújo, & Francisco Souza. (2013). Adaptive fuzzy identification and predictive control for industrial processes. Expert Systems with Applications. 40(17). 6964–6975. 47 indexed citations
18.
Souza, Francisco & Rui Araújo. (2012). An online variable selection method using recursive least squares. 1–8. 2 indexed citations
19.
Alcalá, Symone Gomes Soares, et al.. (2011). Design and application of Soft Sensor using Ensemble Methods. 1–8. 13 indexed citations
20.
Torrico-Bascopé, René P., et al.. (2009). Analysis and proposal of an isolated DC/AC system using three-state switching cell. 536–543. 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.

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