Cătălin Stoean

1.9k total citations
75 papers, 1.1k citations indexed

About

Cătălin Stoean is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Epidemiology. According to data from OpenAlex, Cătălin Stoean has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Epidemiology. Recurrent topics in Cătălin Stoean's work include Evolutionary Algorithms and Applications (24 papers), Metaheuristic Optimization Algorithms Research (23 papers) and AI in cancer detection (8 papers). Cătălin Stoean is often cited by papers focused on Evolutionary Algorithms and Applications (24 papers), Metaheuristic Optimization Algorithms Research (23 papers) and AI in cancer detection (8 papers). Cătălin Stoean collaborates with scholars based in Romania, Serbia and Spain. Cătălin Stoean's co-authors include Ruxandra Stoean, Nebojša Bačanin, Miodrag Živković, Mike Preuß, D. Dumitrescu, Miloš Antonijević, Roma Strulak-Wójcikiewicz, Aleksandar Petrović, Tarik A. Rashid and Radu Badea and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Sensors.

In The Last Decade

Cătălin Stoean

68 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cătălin Stoean Romania 19 602 150 124 120 92 75 1.1k
Ruxandra Stoean Romania 16 496 0.8× 132 0.9× 120 1.0× 123 1.0× 51 0.6× 71 929
Jacek M. Zurada United States 12 564 0.9× 110 0.7× 147 1.2× 79 0.7× 73 0.8× 37 1.0k
Changfei Tong China 9 635 1.1× 112 0.7× 126 1.0× 147 1.2× 67 0.7× 16 1.1k
Mahdi Eftekhari Iran 23 590 1.0× 101 0.7× 259 2.1× 181 1.5× 121 1.3× 135 1.5k
Aaron Klein Germany 8 753 1.3× 92 0.6× 236 1.9× 129 1.1× 84 0.9× 25 1.2k
Nazri Mohd Nawi Malaysia 18 510 0.8× 142 0.9× 171 1.4× 49 0.4× 244 2.7× 104 1.3k
Rania M. Ghoniem Saudi Arabia 17 426 0.7× 143 1.0× 120 1.0× 111 0.9× 44 0.5× 46 859
Ying Yu China 16 454 0.8× 60 0.4× 203 1.6× 153 1.3× 123 1.3× 68 977

Countries citing papers authored by Cătălin Stoean

Since Specialization
Citations

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

Fields of papers citing papers by Cătălin Stoean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cătălin Stoean

This figure shows the co-authorship network connecting the top 25 collaborators of Cătălin Stoean. A scholar is included among the top collaborators of Cătălin Stoean 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 Cătălin Stoean. Cătălin Stoean 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.
Bačanin, Nebojša, Luka Jovanović, Ruxandra Stoean, et al.. (2024). Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics. Axioms. 13(5). 335–335. 18 indexed citations
2.
3.
Stoean, Ruxandra, et al.. (2024). Bridging the past and present: AI-driven 3D restoration of degraded artefacts for museum digital display. Journal of Cultural Heritage. 69. 18–26. 2 indexed citations
4.
Bačanin, Nebojša, Cătălin Stoean, Dušan Marković, et al.. (2024). Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets. Multimedia Tools and Applications. 83(31). 76035–76075. 16 indexed citations
5.
6.
Stoean, Cătălin, et al.. (2023). Chaos game representation for authorship attribution. Artificial Intelligence. 317. 103858–103858. 2 indexed citations
7.
Stoean, Ruxandra, et al.. (2023). Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning. Journal of Cultural Heritage. 64. 198–206. 6 indexed citations
8.
Jovanović, Luka, Nebojša Bačanin, Cătălin Stoean, et al.. (2023). Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data. Sensors. 23(24). 9878–9878. 25 indexed citations
9.
Bačanin, Nebojša, et al.. (2023). On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting. Energies. 16(3). 1434–1434. 67 indexed citations
10.
Stoean, Cătălin, Miodrag Živković, Nebojša Bačanin, et al.. (2023). Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation. Axioms. 12(3). 266–266. 51 indexed citations
11.
Bačanin, Nebojša, et al.. (2022). Multi-Swarm Algorithm for Extreme Learning Machine Optimization. Sensors. 22(11). 4204–4204. 36 indexed citations
12.
Bačanin, Nebojša, Miodrag Živković, Cătălin Stoean, et al.. (2022). Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering. Mathematics. 10(22). 4173–4173. 41 indexed citations
13.
Živković, Miodrag, Cătălin Stoean, Amit Chhabra, et al.. (2022). Novel Improved Salp Swarm Algorithm: An Application for Feature Selection. Sensors. 22(5). 1711–1711. 49 indexed citations
14.
Živković, Miodrag, Cătălin Stoean, Aleksandar Petrović, et al.. (2021). A Novel Method for COVID-19 Pandemic Information Fake News Detection Based on the Arithmetic Optimization Algorithm. 259–266. 29 indexed citations
15.
Bezdan, Timea, Cătălin Stoean, Nebojša Bačanin, et al.. (2021). Hybrid Fruit-Fly Optimization Algorithm with K-Means for Text Document Clustering. Mathematics. 9(16). 1929–1929. 73 indexed citations
16.
Iliescu, Dominic Gabriel, Ş. Tudorache, N. Cernea, et al.. (2017). P13.03: Correlations of the sonopartogram with classic clinical partogram and key points from a pilot study. Ultrasound in Obstetrics and Gynecology. 50(S1). 194–195. 1 indexed citations
17.
Stoean, Cătălin, Mike Preuß, & Ruxandra Stoean. (2009). Species Separation by a Clustering Mean towards Multimodal Function Optimization. Annals of the University of Craiova Mathematics and Computer Science Series. 36(2). 53–62.
18.
Stoean, Ruxandra, Mike Preuß, Cătălin Stoean, Elia El‐Darzi, & D. Dumitrescu. (2008). Support vector machine learning with an evolutionary engine. Journal of the Operational Research Society. 60(8). 1116–1122. 15 indexed citations
19.
Dumitrescu, D. & Cătălin Stoean. (2006). The genetic chromodynamics metaheuristic. International Conference on Telecommunications. 92–97. 1 indexed citations
20.
Stoean, Ruxandra, Cătălin Stoean, Mike Preuß, & D. Dumitrescu. (2006). Evolutionary Multi-class Support Vector Machines for Classification. International Journal of Computers Communications & Control. 1. 3 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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