Erdal Aydın

479 total citations
23 papers, 332 citations indexed

About

Erdal Aydın is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Erdal Aydın has authored 23 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 5 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Erdal Aydın's work include Advanced Control Systems Optimization (9 papers), Fault Detection and Control Systems (8 papers) and Neural Networks and Applications (5 papers). Erdal Aydın is often cited by papers focused on Advanced Control Systems Optimization (9 papers), Fault Detection and Control Systems (8 papers) and Neural Networks and Applications (5 papers). Erdal Aydın collaborates with scholars based in Türkiye, Switzerland and Germany. Erdal Aydın's co-authors include Kai Sundmacher, Dominique Bonvin, Taşkın Kavzoğlu, Ali K. Yetisen, Savaş Taşoğlu, Yaman Arkun, Murat Faik Erdoğan, H. V. Şenavcı, Özgür Baştürk and M. Yılmaz and has published in prestigious journals such as Journal of Power Sources, Applied Energy and International Journal of Hydrogen Energy.

In The Last Decade

Erdal Aydın

23 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erdal Aydın Türkiye 12 148 93 48 45 30 23 332
Souvik Ganguli India 12 88 0.6× 166 1.8× 68 1.4× 20 0.4× 17 0.6× 29 332
Mayank Panwar United States 9 137 0.9× 147 1.6× 18 0.4× 24 0.5× 36 1.2× 32 248
Gustavo A. de Andrade Brazil 10 140 0.9× 46 0.5× 21 0.4× 51 1.1× 16 0.5× 35 328
Horia Andrei Romania 10 126 0.9× 341 3.7× 101 2.1× 23 0.5× 17 0.6× 98 500
Logan Blakely United States 10 87 0.6× 248 2.7× 63 1.3× 33 0.7× 9 0.3× 29 411
Banar Fareed Ibrahim Iraq 10 33 0.2× 96 1.0× 63 1.3× 78 1.7× 35 1.2× 20 282
Mihail Abrudean Romania 11 299 2.0× 244 2.6× 25 0.5× 68 1.5× 27 0.9× 114 497
Muhammad Hussnain Riaz Pakistan 13 114 0.8× 269 2.9× 45 0.9× 38 0.8× 7 0.2× 29 469
Muhammad Haris China 10 202 1.4× 153 1.6× 34 0.7× 21 0.5× 29 1.0× 31 477

Countries citing papers authored by Erdal Aydın

Since Specialization
Citations

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

Fields of papers citing papers by Erdal Aydın

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erdal Aydın

This figure shows the co-authorship network connecting the top 25 collaborators of Erdal Aydın. A scholar is included among the top collaborators of Erdal Aydın 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 Erdal Aydın. Erdal Aydın 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.
Aydın, Erdal, et al.. (2023). Physics Informed Piecewise Linear Neural Networks for Process Optimization. Computers & Chemical Engineering. 174. 108244–108244. 13 indexed citations
2.
Aydın, Erdal, et al.. (2023). Equipment Selection for Coupling a Microgrid with a Power-to-Gas System in the Context of Optimal Design and Operation. Computers & Chemical Engineering. 181. 108512–108512. 2 indexed citations
3.
Aydın, Erdal, et al.. (2023). Machine Learning-Enabled Optimization of Interstitial Fluid Collection via a Sweeping Microneedle Design. ACS Omega. 8(23). 20968–20978. 15 indexed citations
4.
Aydın, Erdal, et al.. (2023). Bayesian machine learning optimization of microneedle design for biological fluid sampling. Sensors & Diagnostics. 2(4). 858–866. 12 indexed citations
5.
Aydın, Erdal, et al.. (2023). Optimization of capacitance in supercapacitors by constructing an experimentally validated hybrid artificial neural networks-genetic algorithm framework. Journal of Power Sources. 568. 232987–232987. 10 indexed citations
6.
Aydın, Erdal, et al.. (2023). Design and operation of renewable energy microgrids under uncertainty towards green deal and minimum carbon emissions. Sustainable Energy Grids and Networks. 37. 101233–101233. 6 indexed citations
7.
Aydın, Erdal, et al.. (2023). Physics-informed recurrent neural networks and hyper-parameter optimization for dynamic process systems. Computers & Chemical Engineering. 173. 108195–108195. 50 indexed citations
8.
Aydın, Erdal, et al.. (2022). Uncertainty Propagation Based MINLP Approach for Artificial Neural Network Structure Reduction. Processes. 10(9). 1716–1716. 3 indexed citations
9.
Aydın, Erdal, et al.. (2022). Optimal artificial neural network architecture design for modeling an industrial ethylene oxide plant. Computers & Chemical Engineering. 163. 107850–107850. 11 indexed citations
10.
11.
Aydın, Erdal, et al.. (2022). Optimal design and operation of integrated microgrids under intermittent renewable energy sources coupled with green hydrogen and demand scenarios. International Journal of Hydrogen Energy. 47(65). 27848–27865. 32 indexed citations
12.
Aydın, Erdal, et al.. (2022). A SYSTEMATIC AND EFFICIENT INPUT SELECTION METHOD FOR ARTIFICIAL NEURAL NETWORKS USING MIXED-INTEGER NONLINEAR PROGRAMMING. Konya Journal of Engineering Sciences. 10(3). 762–773. 2 indexed citations
13.
Aydın, Erdal, et al.. (2021). A Mixed-Integer linear programming based training and feature selection method for artificial neural networks using piece-wise linear approximations. Chemical Engineering Science. 249. 117273–117273. 12 indexed citations
14.
Aydın, Erdal, et al.. (2020). Design of Feedforward Neural Networks in the Classification of Hyperspectral Imagery Using Superstructural Optimization. Remote Sensing. 12(6). 956–956. 31 indexed citations
15.
Aydın, Erdal, Dominique Bonvin, & Kai Sundmacher. (2018). Toward Fast Dynamic Optimization: An Indirect Algorithm That Uses Parsimonious Input Parameterization. Industrial & Engineering Chemistry Research. 57(30). 10038–10048. 8 indexed citations
16.
Aydın, Erdal, Dominique Bonvin, & Kai Sundmacher. (2018). Computationally efficient NMPC for batch and semi-batch processes using parsimonious input parameterization. Journal of Process Control. 66. 12–22. 7 indexed citations
17.
Aydın, Erdal, Dominique Bonvin, & Kai Sundmacher. (2017). NMPC using Pontryagin’s Minimum Principle-Application to a two-phase semi-batch hydroformylation reactor under uncertainty. Computers & Chemical Engineering. 108. 47–56. 19 indexed citations
18.
Aydın, Erdal, et al.. (2016). Economic Model Predictive Control (EMPC) of an Industrial Diesel Hydroprocessing Plant. IFAC-PapersOnLine. 49(7). 568–573. 3 indexed citations
19.
Aydın, Erdal, et al.. (2015). Dynamic modeling of an industrial diesel hydroprocessing plant by the method of continuous lumping. Computers & Chemical Engineering. 82. 44–54. 11 indexed citations
20.
Şenavcı, H. V., et al.. (2003). Photoelectric Minima of Some Eclipsing Binary Stars. Information Bulletin on Variable Stars. 4941. 1. 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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