Semen Uimonen

439 total citations
23 papers, 343 citations indexed

About

Semen Uimonen is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Building and Construction. According to data from OpenAlex, Semen Uimonen has authored 23 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 14 papers in Electrical and Electronic Engineering and 10 papers in Building and Construction. Recurrent topics in Semen Uimonen's work include Elevator Systems and Control (14 papers), Traffic control and management (11 papers) and Smart Grid Energy Management (10 papers). Semen Uimonen is often cited by papers focused on Elevator Systems and Control (14 papers), Traffic control and management (11 papers) and Smart Grid Energy Management (10 papers). Semen Uimonen collaborates with scholars based in Finland. Semen Uimonen's co-authors include Matti Lehtonen, Toni Tukia, Abinet Tesfaye Eseye, Robert John Millar, Marja‐Liisa Siikonen and Jussi Ekström and has published in prestigious journals such as Applied Energy, IEEE Access and Energy and Buildings.

In The Last Decade

Semen Uimonen

23 papers receiving 330 citations

Peers

Semen Uimonen

EEE

CSE

RESE

Toni Tukia Finland

Huangjie Gong United States

Faeza Hafiz United States

Carlos Roldán-Blay Spain

Saleh Sadeghi Gougheri Iran

Lilik Jamilatul Awalin Malaysia

Hanjiang Dong China

Amirhossein Dolatabadi Canada

Alessandro Fonti Italy

Elham Shirazi Netherlands

Toni Tukia Finland

Semen Uimonen

217 ×0.9

EEE

144 ×1.0

CSE

91 ×1.0

31 ×0.6

40 ×0.9

RESE

Citations per year, relative to Semen Uimonen Semen Uimonen (= 1×) peers Toni Tukia

Countries citing papers authored by Semen Uimonen

Since Specialization

Citations

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

Fields of papers citing papers by Semen Uimonen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Semen Uimonen

This figure shows the co-authorship network connecting the top 25 collaborators of Semen Uimonen. A scholar is included among the top collaborators of Semen Uimonen 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 Semen Uimonen. Semen Uimonen 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

Uimonen, Semen & Matti Lehtonen. (2020). Simulation of Electric Vehicle Charging Stations Load Profiles in Office Buildings Based on Occupancy Data. Energies. 13(21). 5700–5700. 25 indexed citations

Uimonen, Semen, Toni Tukia, Jussi Ekström, Marja‐Liisa Siikonen, & Matti Lehtonen. (2020). A machine learning approach to modelling escalator demand response. Engineering Applications of Artificial Intelligence. 90. 103521–103521. 11 indexed citations

Eseye, Abinet Tesfaye, Matti Lehtonen, Toni Tukia, Semen Uimonen, & Robert John Millar. (2019). Day-ahead Prediction of Building District Heat Demand for Smart Energy Management and Automation in Decentralized Energy Systems. Aaltodoc (Aalto University). 1694–1699. 4 indexed citations

Eseye, Abinet Tesfaye, Matti Lehtonen, Toni Tukia, Semen Uimonen, & Robert John Millar. (2019). Efficient Feature Selection Strategy for Accurate Electricity Demand Forecasting. Aaltodoc (Aalto University). 1–5. 3 indexed citations

Eseye, Abinet Tesfaye, Matti Lehtonen, Toni Tukia, Semen Uimonen, & Robert John Millar. (2019). Machine Learning Based Integrated Feature Selection Approach for Improved Electricity Demand Forecasting in Decentralized Energy Systems. IEEE Access. 7. 91463–91475. 89 indexed citations

Uimonen, Semen, Toni Tukia, Marja‐Liisa Siikonen, & Matti Lehtonen. (2019). Potential of aggregated escalator loads in demand response. Electric Power Systems Research. 175. 105917–105917. 4 indexed citations

Eseye, Abinet Tesfaye, Matti Lehtonen, Toni Tukia, Semen Uimonen, & Robert John Millar. (2019). Optimal Energy Trading for Renewable Energy Integrated Building Microgrids Containing Electric Vehicles and Energy Storage Batteries. IEEE Access. 7. 106092–106101. 62 indexed citations

Tukia, Toni, et al.. (2019). Modeling the aggregated power consumption of elevators – the New York city case study. Applied Energy. 251. 113356–113356. 15 indexed citations

Eseye, Abinet Tesfaye, Matti Lehtonen, Toni Tukia, Semen Uimonen, & Robert John Millar. (2019). Adaptive Predictor Subset Selection Strategy for Enhanced Forecasting of Distributed PV Power Generation. IEEE Access. 7. 90652–90665. 23 indexed citations

10.

Tukia, Toni, et al.. (2018). High-resolution modeling of elevator power consumption. Journal of Building Engineering. 18. 210–219. 22 indexed citations

11.

Uimonen, Semen, Toni Tukia, & Matti Lehtonen. (2018). Vertical Transportation Demand Response: Cost of Lost Customer Hours. Aaltodoc (Aalto University). 1–5. 2 indexed citations

12.

Tukia, Toni, Semen Uimonen, & Matti Lehtonen. (2018). Evaluating the Applicability of Elevators in Frequency Containment Reserves. Aaltodoc (Aalto University). 1–5. 2 indexed citations

13.

Uimonen, Semen, Toni Tukia, Marja‐Liisa Siikonen, & Matti Lehtonen. (2017). Predicting the annual escalator energy consumption based on short-term measurements. Journal of Building Engineering. 13. 319–325. 4 indexed citations

14.

Tukia, Toni, et al.. (2017). A study for improving the energy efficiency of lifts with adjustable counterweighting. Building Services Engineering Research and Technology. 38(4). 421–435. 7 indexed citations

15.

Uimonen, Semen, Toni Tukia, Marja‐Liisa Siikonen, & Matti Lehtonen. (2017). Impact of daily passenger traffic on energy consumption of intermittent-operating escalators. Energy and Buildings. 140. 348–358. 8 indexed citations

16.

Uimonen, Semen, et al.. (2016). Energy consumption of escalators in low traffic environment. Energy and Buildings. 125. 287–297. 13 indexed citations

17.

Tukia, Toni, et al.. (2016). Practices to Improve the Annual Elevator Energy Consumption Estimates and Measurements. International Review on Modelling and Simulations (IREMOS). 9(3). 134–134. 5 indexed citations

18.

Uimonen, Semen, Toni Tukia, Matti Lehtonen, & Marja‐Liisa Siikonen. (2016). Modelling the daily energy consumption of escalators with various passenger volumes. 1–5. 6 indexed citations

19.

Tukia, Toni, et al.. (2016). Explicit method to predict annual elevator energy consumption in recurring passenger traffic conditions. Journal of Building Engineering. 8. 179–188. 20 indexed citations

20.

Uimonen, Semen. (2015). Energy Consumption of Escalators. Aaltodoc (Aalto University). 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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