Laura Dioşan

882 total citations
74 papers, 485 citations indexed

About

Laura Dioşan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Laura Dioşan has authored 74 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 20 papers in Computational Theory and Mathematics and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Laura Dioşan's work include Metaheuristic Optimization Algorithms Research (13 papers), Evolutionary Algorithms and Applications (12 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Laura Dioşan is often cited by papers focused on Metaheuristic Optimization Algorithms Research (13 papers), Evolutionary Algorithms and Applications (12 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Laura Dioşan collaborates with scholars based in Romania, France and Sweden. Laura Dioşan's co-authors include Mihai Oltean, Alexandrina Rogozan, Zoltán Bálint, Mihaela Hedeșiu, Cristian Dinu, Reinhilde Jacobs, Oana Almășan, Camelia Chira, Crina Groşan and G Popa and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Soft Computing.

In The Last Decade

Laura Dioşan

64 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura Dioşan Romania	11	202	89	62	61	60	74	485
Marco Aldinucci Italy	15	208 1.0×	25 0.3×	69 1.1×	126 2.1×	93 1.6×	121	976
Jamal Atif France	11	181 0.9×	43 0.5×	39 0.6×	72 1.2×	308 5.1×	42	542
Huifang Deng China	13	259 1.3×	35 0.4×	38 0.6×	58 1.0×	76 1.3×	59	593
Qi Song China	14	237 1.2×	20 0.2×	29 0.5×	74 1.2×	200 3.3×	56	805
Ulrich Meyer Germany	14	239 1.2×	113 1.3×	54 0.9×	4 0.1×	227 3.8×	76	740
Lili Lin China	13	115 0.6×	13 0.1×	34 0.5×	23 0.4×	240 4.0×	56	531
Bo Fang China	9	158 0.8×	16 0.2×	34 0.5×	12 0.2×	49 0.8×	50	434
Ting Guo China	11	153 0.8×	10 0.1×	14 0.2×	16 0.3×	55 0.9×	50	375
Rui Tang China	15	328 1.6×	57 0.6×	54 0.9×	52 0.9×	79 1.3×	44	675
Roberto Paredes Spain	16	380 1.9×	24 0.3×	18 0.3×	26 0.4×	367 6.1×	45	697

Countries citing papers authored by Laura Dioşan

Since Specialization

Citations

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

Fields of papers citing papers by Laura Dioşan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Dioşan

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

All Works

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20 of 20 papers shown

Dioşan, Laura, et al.. (2025). ContRail: Realistic Railway Image Synthesis using ControlNet. Procedia Computer Science. 270. 3037–3046.

Hedeșiu, Mihaela, et al.. (2025). Tooth-level detection and mapping of dental pathologies on panoramic radiographs using YOLOv11 and RT-DETR. MethodsX. 15. 103696–103696.

Iancu, Ștefania D., et al.. (2025). Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis – a systematic review. Frontiers in Neuroscience. 18. 1457420–1457420. 1 indexed citations

Hedeșiu, Mihaela, et al.. (2024). Teeth segmentation and carious lesions segmentation in panoramic X-ray images using CariSeg, a networks' ensemble. Heliyon. 10(10). e30836–e30836. 10 indexed citations

Ráduly, Lajos, Liviuţa Budişan, Camelia Chira, et al.. (2024). Machine Learning Model Predicts Postoperative Outcomes in Chronic Rhinosinusitis With Nasal Polyps. Clinical Otolaryngology. 49(6). 776–784. 4 indexed citations

Dioşan, Laura, et al.. (2024). Exploring the Fusion of CNNs and Textural Features in Mammogram Interpretation. Procedia Computer Science. 246. 626–635.

Dioşan, Laura, Iulia Andraș, Nicolae Crişan, et al.. (2023). A Light, 3D UNet-based Architecture for fully Automatic Segmentation ofProstate Lesions from T2-MRI Images. Current Medical Imaging Formerly Current Medical Imaging Reviews. 20.

Dioşan, Laura, et al.. (2023). Railway Switch Classification Using Deep Neural Networks. 769–776. 2 indexed citations

Caraiani, Cosmin, Andrei Lebovici, Iulia Andraș, et al.. (2023). MRI-Based Radiomics in Bladder Cancer: A Systematic Review and Radiomics Quality Score Assessment. Diagnostics. 13(13). 2300–2300. 10 indexed citations

10.

Dioşan, Laura, Iulia Andraș, Nicolae Crişan, et al.. (2023). Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm. Frontiers in Oncology. 13. 1096136–1096136. 6 indexed citations

11.

Almășan, Oana, et al.. (2022). Artificial intelligence models for clinical usage in dentistry with a focus on dentomaxillofacial CBCT: a systematic review. Oral Radiology. 39(1). 18–40. 46 indexed citations

12.

Iancu, Ștefania D., Andrei Ştefancu, Camelia Chira, et al.. (2022). SERS liquid biopsy in breast cancer. What can we learn from SERS on serum and urine?. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 273. 120992–120992. 32 indexed citations

13.

Dioşan, Laura, et al.. (2022). The Next Generation of Edutainment Applications for Young Children—A Proposal. Mathematics. 10(4). 645–645. 4 indexed citations

14.

Dioşan, Laura, et al.. (2021). A Hybrid Approach to MVC Architectural Layers Analysis. 3 indexed citations

15.

Dioşan, Laura, et al.. (2020). Feasibility of Automatic Seed Generation Applied to Cardiac MRI Image Analysis. Mathematics. 8(9). 1511–1511. 5 indexed citations

16.

Dioşan, Laura, et al.. (2019). STUDY OF CONNECTION BETWEEN ARTICULATION POINTS AND NETWORK MOTIFS IN COMPLEX NETWORKS. Journal of the Association for Information Systems. 1 indexed citations

17.

Dioşan, Laura, et al.. (2019). Particle Swarm Optimization of Cellular Automata Rules for Edge Detection. 62. 320–325. 1 indexed citations

18.

Bálint, Zoltán, et al.. (2018). Dynamic autonomous image segmentation based on Grow Cut.. The European Symposium on Artificial Neural Networks. 4 indexed citations

19.

Dioşan, Laura, et al.. (2017). The Use of Simple Cellular Automata in Image Processing. SHILAP Revista de lepidopterología. 62(1). 5–14. 6 indexed citations

20.

Dioşan, Laura & Mihai Oltean. (2008). Evolving Crossover Operators for Function Optimization. 1 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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