Stefan Sette

706 total citations
29 papers, 546 citations indexed

About

Stefan Sette is a scholar working on Polymers and Plastics, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Stefan Sette has authored 29 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Polymers and Plastics, 13 papers in Industrial and Manufacturing Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Stefan Sette's work include Textile materials and evaluations (16 papers), Industrial Vision Systems and Defect Detection (12 papers) and Evolutionary Algorithms and Applications (5 papers). Stefan Sette is often cited by papers focused on Textile materials and evaluations (16 papers), Industrial Vision Systems and Defect Detection (12 papers) and Evolutionary Algorithms and Applications (5 papers). Stefan Sette collaborates with scholars based in Belgium and United States. Stefan Sette's co-authors include Luc Boullart, Lieva Van Langenhove, Paul Kiekens, Hans Vangheluwe, Bart Wyns, Filip De Keyser, Dominique Baeten, Ilse Hoffman, P. Bernard and Hannes Schulz and has published in prestigious journals such as Engineering Applications of Artificial Intelligence, Control Engineering Practice and Artificial Intelligence in Medicine.

In The Last Decade

Stefan Sette

29 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Sette Belgium 13 221 202 121 57 53 29 546
Keiji Yamanaka Brazil 10 60 0.3× 27 0.1× 67 0.6× 10 0.2× 5 0.1× 33 404
Yiping Yuan China 12 19 0.1× 106 0.5× 53 0.4× 131 2.3× 3 0.1× 44 505
Guoxiang Tong China 11 59 0.3× 20 0.1× 107 0.9× 12 0.2× 3 0.1× 39 359
Mohammed Assiri Saudi Arabia 12 35 0.2× 45 0.2× 94 0.8× 10 0.2× 3 0.1× 67 465
Haiqing Wang China 14 22 0.1× 16 0.1× 39 0.3× 158 2.8× 4 0.1× 75 778
Jie Dong China 10 76 0.3× 14 0.1× 98 0.8× 60 1.1× 3 0.1× 31 441
Shixin Li China 12 8 0.0× 36 0.2× 59 0.5× 52 0.9× 4 0.1× 70 503
Emmanuel Simeu France 11 6 0.0× 29 0.1× 37 0.3× 62 1.1× 14 0.3× 42 546

Countries citing papers authored by Stefan Sette

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Sette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Sette

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Sette. A scholar is included among the top collaborators of Stefan Sette 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 Stefan Sette. Stefan Sette 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.
Wyns, Bart, Stefan Sette, Luc Boullart, et al.. (2004). Prediction of diagnosis in patients with early arthritis using a combined Kohonen mapping and instance-based evaluation criterion. Artificial Intelligence in Medicine. 31(1). 45–55. 21 indexed citations
2.
Wyns, Bart, Luc Boullart, Stefan Sette, et al.. (2004). Prediction of arthritis using a modified Kohonen mapping and case based reasoning. Engineering Applications of Artificial Intelligence. 17(2). 205–211. 12 indexed citations
3.
Sette, Stefan & Lieva Van Langenhove. (2003). An Overview of Soft Computing in Textiles. Journal of the Textile Institute. 94(1-2). 103–109. 7 indexed citations
4.
Langenhove, Lieva Van & Stefan Sette. (2002). THE COMPLEX RELATIONSHIPS BETWEEN FIBRES, PRODUCTION PARAMETERS AND SPINNING RESULTS. Ghent University Academic Bibliography (Ghent University). 469–473. 4 indexed citations
5.
Sette, Stefan & Lieva Van Langenhove. (2002). OPTIMISING THE FIBRE-TO-YARN PRODUCTION PROCESS: FINDING A BLEND OF FIBRE QUALITIES TO CREATE AN OPTIMAL PRICE/QUALITY YARN. Autex Research Journal. 2(2). 57–63. 10 indexed citations
6.
Sette, Stefan & Luc Boullart. (2001). Genetic programming: principles and applications. Engineering Applications of Artificial Intelligence. 14(6). 727–736. 152 indexed citations
7.
Sette, Stefan, Luc Boullart, & Lieva Van Langenhove. (2000). FECS: an Efficiency based Learning Classifier System Applied to an Industrial Production Process.. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
8.
Sette, Stefan, Luc Boullart, & Lieva Van Langenhove. (2000). Building a Rule Set for the Fiber-to-Yarn Production Process by Means of Soft Computing Techniques. Textile Research Journal. 70(5). 375–386. 14 indexed citations
9.
Boullart, Luc & Stefan Sette. (1998). High Performant Learning Classifier Systems. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
10.
Sette, Stefan, Luc Boullart, & Lieva Van Langenhove. (1998). Using genetic algorithms to design a control strategy of an industrial process. Control Engineering Practice. 6(4). 523–527. 18 indexed citations
11.
Sette, Stefan, Luc Boullart, Lieva Van Langenhove, & Paul Kiekens. (1997). Optimizing the Fiber-to-Yarn Production Process with a Combined Neural Network/Genetic Algorithm Approach. Textile Research Journal. 67(2). 84–92. 54 indexed citations
12.
Boullart, Luc & Stefan Sette. (1997). Genetic algorithms: theory & applications. 38(2). 13–23. 7 indexed citations
13.
Kiekens, Paul, et al.. (1997). The Use of Neural Nets to Simulate the Spinning Process. Journal of the Textile Institute. 88(4). 440–448. 26 indexed citations
14.
Sette, Stefan, Luc Boullart, & Lieva Van Langenhove. (1997). Using Genetic Algorithms to Design an Overall Control Strategy of an Industrial Process. IFAC Proceedings Volumes. 30(4). 335–340. 2 indexed citations
15.
Sette, Stefan, et al.. (1996). Automatic Assessment of Carpet Wear Using Image Analysis and Neural Networks. Textile Research Journal. 66(9). 555–561. 15 indexed citations
16.
Sette, Stefan, Lieva Van Langenhove, & Luc Boullart. (1996). Optimisation of the fibre-to-yarn process using genetic algorithms.. Ghent University Academic Bibliography (Ghent University). 233–246. 3 indexed citations
17.
Sette, Stefan, Luc Boullart, & Lieva Van Langenhove. (1996). Optimising a production process by a neural network/genetic algorithm approach. Engineering Applications of Artificial Intelligence. 9(6). 681–689. 32 indexed citations
18.
Sette, Stefan & Luc Boullart. (1995). Fault Detection and Qualtiy Assessment in Textiles by means of Neural Nets.. Ghent University Academic Bibliography (Ghent University). 10. 4 indexed citations
19.
Kiekens, Paul, et al.. (1995). Use of Neural Nets for Determining the Spinnability of Fibres. Journal of the Textile Institute. 86(3). 425–437. 45 indexed citations
20.
Vangheluwe, Hans, et al.. (1993). Assessment of Set Marks by Means of Neural Nets. Textile Research Journal. 63(4). 244–246. 27 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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