Furkan Elmaz

771 total citations
16 papers, 554 citations indexed

About

Furkan Elmaz is a scholar working on Control and Systems Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Furkan Elmaz has authored 16 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Control and Systems Engineering, 6 papers in Biomedical Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Furkan Elmaz's work include Advanced Control Systems Optimization (5 papers), Thermochemical Biomass Conversion Processes (5 papers) and Process Optimization and Integration (3 papers). Furkan Elmaz is often cited by papers focused on Advanced Control Systems Optimization (5 papers), Thermochemical Biomass Conversion Processes (5 papers) and Process Optimization and Integration (3 papers). Furkan Elmaz collaborates with scholars based in Belgium, Türkiye and Austria. Furkan Elmaz's co-authors include Özgün Yücel, Ali Yener Mutlu, Peter Hellinckx, Steven Latré, Wim Casteels, M. Enis Leblebici, Siegfried Mercelis, Savaş Şahin, Levent Aydın and Ivan Verhaert and has published in prestigious journals such as Energy, Fuel and Building and Environment.

In The Last Decade

Furkan Elmaz

14 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Furkan Elmaz Belgium 8 191 100 88 78 75 16 554
Hima Nikafshan Rad Iran 19 98 0.5× 535 5.3× 44 0.5× 60 0.8× 178 2.4× 27 1.2k
Kai Yuan United Kingdom 10 120 0.6× 52 0.5× 30 0.3× 94 1.2× 40 0.5× 27 445
Zihao Wang China 11 39 0.2× 44 0.4× 87 1.0× 230 2.9× 121 1.6× 30 706
Yuanbo Zhang China 15 86 0.5× 64 0.6× 24 0.3× 14 0.2× 128 1.7× 37 614
Xu Ma China 14 239 1.3× 37 0.4× 23 0.3× 23 0.3× 79 1.1× 35 1.1k
Qiming Chen China 20 425 2.2× 72 0.7× 26 0.3× 88 1.1× 25 0.3× 53 1.3k
Zhizhong Wang China 13 93 0.5× 79 0.8× 30 0.3× 11 0.1× 72 1.0× 52 502
Weitao Wan China 13 276 1.4× 44 0.4× 90 1.0× 308 3.9× 43 0.6× 21 941

Countries citing papers authored by Furkan Elmaz

Since Specialization
Citations

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

Fields of papers citing papers by Furkan Elmaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Furkan Elmaz

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

All Works

16 of 16 papers shown
1.
Elmaz, Furkan, et al.. (2025). Federated proximal policy optimization with action masking: Application in collective heating systems. Energy and AI. 20. 100506–100506. 4 indexed citations
2.
Elmaz, Furkan, et al.. (2024). A hybrid predictive modeling approach for catalyzed polymerization reactors. Chemical Engineering Journal Advances. 20. 100662–100662. 1 indexed citations
3.
Elmaz, Furkan, Siegfried Mercelis, Peter Hellinckx, et al.. (2024). Simulation and quantitative analysis of Raman spectra in chemical processes with autoencoders. Chemometrics and Intelligent Laboratory Systems. 248. 105119–105119. 3 indexed citations
4.
Elmaz, Furkan, Florence H. Vermeire, Siegfried Mercelis, et al.. (2023). SI-M/O: Swarm Intelligence-based Modeling and Optimization of complex synthesis reaction processes. Computers & Chemical Engineering. 179. 108431–108431.
5.
Elmaz, Furkan, et al.. (2023). Hybrid modelling of a batch separation process. Computers & Chemical Engineering. 177. 108319–108319. 5 indexed citations
6.
Elmaz, Furkan, et al.. (2023). Reinforcement learning-based approach for optimizing solvent-switch processes. Computers & Chemical Engineering. 176. 108310–108310. 8 indexed citations
7.
Elmaz, Furkan, et al.. (2022). Transfer Learning-based Hybrid Modeling Approach for Indoor Temperature Modeling. IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. 109. 1–6.
8.
Elmaz, Furkan, et al.. (2021). CNN-LSTM architecture for predictive indoor temperature modeling. Building and Environment. 206. 108327–108327. 163 indexed citations
9.
Elmaz, Furkan, et al.. (2020). Hilbert Vibration Decomposition-based epileptic seizure prediction with neural network. Computers in Biology and Medicine. 119. 103665–103665. 49 indexed citations
10.
Elmaz, Furkan, et al.. (2020). Classification of solid fuels with machine learning. Fuel. 266. 117066–117066. 41 indexed citations
11.
Elmaz, Furkan & Özgün Yücel. (2020). Data-driven identification and model predictive control of biomass gasification process for maximum energy production. Energy. 195. 117037–117037. 39 indexed citations
12.
Elmaz, Furkan, Özgün Yücel, & Ali Yener Mutlu. (2020). Machine learning based approach for predicting of higher heating values of solid fuels using proximity and ultimate analysis. 32(2). 145–151. 3 indexed citations
13.
Elmaz, Furkan, Özgün Yücel, & Ali Yener Mutlu. (2019). Predictive modeling of biomass gasification with machine learning-based regression methods. Energy. 191. 116541–116541. 207 indexed citations
14.
15.
Elmaz, Furkan, Özgün Yücel, & Ali Yener Mutlu. (2019). EVALUATING THE EFFECT OF BLENDING RATIO ON THE CO-GASIFICATION OF HIGH ASH COAL AND BIOMASS IN A FLUIDIZED BED GASIFIER USING MACHINE LEARNING. Mugla Journal of Science and Technology. 5(1). 1–12. 17 indexed citations
16.

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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