Aki Sorsa

880 total citations
52 papers, 676 citations indexed

About

Aki Sorsa is a scholar working on Mechanical Engineering, Electronic, Optical and Magnetic Materials and Control and Systems Engineering. According to data from OpenAlex, Aki Sorsa has authored 52 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Mechanical Engineering, 19 papers in Electronic, Optical and Magnetic Materials and 13 papers in Control and Systems Engineering. Recurrent topics in Aki Sorsa's work include Magnetic Properties and Applications (19 papers), Non-Destructive Testing Techniques (14 papers) and Fault Detection and Control Systems (11 papers). Aki Sorsa is often cited by papers focused on Magnetic Properties and Applications (19 papers), Non-Destructive Testing Techniques (14 papers) and Fault Detection and Control Systems (11 papers). Aki Sorsa collaborates with scholars based in Finland, Sweden and United Kingdom. Aki Sorsa's co-authors include Kauko Leiviskä, Suvi Santa-aho, T. Lepistö, Minnamari Vippola, Mari Lindgren, Jyrki Latokartano, Esko Juuso, Mika Ruusunen, Lasse Suominen and Ville‐Valtteri Visuri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Journal of Materials Science.

In The Last Decade

Aki Sorsa

47 papers receiving 610 citations

Peers

Aki Sorsa
Samo Zupan Slovenia
Zihan Li China
Peiqi Liu China
Aki Sorsa
Citations per year, relative to Aki Sorsa Aki Sorsa (= 1×) peers Wenqiang Li

Countries citing papers authored by Aki Sorsa

Since Specialization
Citations

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

Fields of papers citing papers by Aki Sorsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aki Sorsa

This figure shows the co-authorship network connecting the top 25 collaborators of Aki Sorsa. A scholar is included among the top collaborators of Aki Sorsa 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 Aki Sorsa. Aki Sorsa 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.
Sorsa, Aki, et al.. (2024). Series-connected data-based model to estimate effluent chemical oxygen demand in industrial wastewater treatment process. Journal of Environmental Management. 373. 123680–123680. 1 indexed citations
2.
Sorsa, Aki, et al.. (2023). Data-Based Modelling of Chemical Oxygen Demand for Industrial Wastewater Treatment. Applied Sciences. 13(13). 7848–7848. 5 indexed citations
3.
Santa-aho, Suvi, Aki Sorsa, Mika Ruusunen, & Minnamari Vippola. (2023). Grinding burn classification with surface Barkhausen noise measurements. SHILAP Revista de lepidopterología. 1(1). 2 indexed citations
4.
Visuri, Ville‐Valtteri, et al.. (2023). Machine learning assisted identification of grey-box hot metal desulfurization model. Materials and Manufacturing Processes. 38(15). 1983–1996. 8 indexed citations
5.
Visuri, Ville‐Valtteri, et al.. (2020). Application of a genetic algorithm based model selection algorithm for identification of carbide-based hot metal desulfurization. Applied Soft Computing. 92. 106330–106330. 11 indexed citations
6.
Sorsa, Aki, et al.. (2019). Statistical Evaluation of Barkhausen Noise Testing (BNT) for Ground Samples. Sensors. 19(21). 4716–4716. 9 indexed citations
7.
Visuri, Ville‐Valtteri, et al.. (2019). Genetic Algorithm‐Based Variable Selection in Prediction of Hot Metal Desulfurization Kinetics. steel research international. 90(8). 11 indexed citations
8.
Sorsa, Aki, et al.. (2015). Simulation as a Tool for Evaluating Biogas Purification Processes. Linköping electronic conference proceedings. 119. 55–61. 1 indexed citations
9.
Sorsa, Aki, et al.. (2013). Prediction of Residual Stresses Using Partial Least Squares Regression on Barkhausen Noise Signals. Journal of Nondestructive Evaluation. 13 indexed citations
10.
Sorsa, Aki, et al.. (2012). Differential Evolution in Parameter Identification - Fuel Cell as an Example. 40–49. 3 indexed citations
11.
Santa-aho, Suvi, Minnamari Vippola, Aki Sorsa, et al.. (2012). Utilization of Barkhausen noise magnetizing sweeps for case-depth detection from hardened steel. NDT & E International. 52. 95–102. 67 indexed citations
12.
Santa-aho, Suvi, Minnamari Vippola, Aki Sorsa, et al.. (2012). Optimized laser processing of calibration blocks for grinding burn detection with Barkhausen noise. Journal of Materials Processing Technology. 212(11). 2282–2293. 16 indexed citations
13.
Santa-aho, Suvi, Minnamari Vippola, Matti Isakov, et al.. (2012). Barkhausen noise characterisation during elastic bending and tensile-compression loading of case-hardened and tempered samples. Journal of Materials Science. 47(17). 6420–6428. 16 indexed citations
14.
Santa-aho, Suvi, Minnamari Vippola, Aki Sorsa, et al.. (2011). Development of Barkhausen noise calibration blocks for reliable grinding burn detection. Journal of Materials Processing Technology. 212(2). 408–416. 37 indexed citations
15.
Juuso, Esko & Aki Sorsa. (2010). A new teaching scheme for advanced control courses. IFAC Proceedings Volumes. 42(24). 49–54. 2 indexed citations
16.
Sorsa, Aki, et al.. (2010). Evolutionary algorithms in nonlinear model identification. 2 indexed citations
17.
Heinonen, Petri, et al.. (2009). Development of a Fuzzy Expert System for a Nutritional Guidance Application. European Society for Fuzzy Logic and Technology Conference. 1685–1690. 12 indexed citations
18.
Sorsa, Aki, et al.. (2005). Lähi-infrapunamittauksen epälineaarinen kalibrointi neuroverkoilla ja neuro-sumeilla menetelmillä. 5 indexed citations
19.
Sorsa, Aki, et al.. (2005). CONFIDENCE BASED ESTIMATION AND DETERIORATION INDICATION OF ON-LINE MEASUREMENT. 340–343. 1 indexed citations
20.
Juuso, Esko, et al.. (2001). Vesikemikaalien annostelutyökalun kehittäminen : llotaation perusteet, koejaksot ja mallinnus. 10 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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