Gokhan Aydin

Electrical and Electronic Engineering · 2014–2016

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 16 citations into it; #4,467 of 16,539 by trust here, #13,553 by citations
• Management Science and Operations Research — 15 citations into it; #3,664 of 11,946 by trust here, #7,262 by citations
• Economics and Econometrics — 13 citations into it; #8,198 of 23,481 by trust here, #16,755 by citations
• Renewable Energy, Sustainability and the Environment — 13 citations into it; #3,488 of 5,212 by trust here, #4,962 by citations
• Environmental Engineering — 8 citations into it
• Artificial Intelligence — 7 citations into it

Whom Gokhan Aydin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Gökhan Aydın
2. M. Toksari
3. H. Pao
4. Julian D. Olden
5. Murat Kankal
6. Chung-Ming Tsai
7. Donald A. Jackson
8. Armstrong
9. A. Akpınar
10. Alper Ünler

Who trusts Gokhan Aydin overall

1. Gökhan Aydın
2. Hyongdoo Jang
3. Weibiao Qiao
4. Erkan Topal
5. W. Liu

Papers from Gokhan Aydin's perspective

Ordered by how strongly the researchers Gokhan Aydin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections
2. Determinants of CO2 emissions in a small open economy
3. Illuminating the “black box”: a randomization approach for understanding variable contributions in artificial neural networks
4. Designing a neural network for forecasting financial and economic time series
5. Ant colony optimization approach to estimate energy demand of Turkey
6. Forecasting Natural Gas Production Using Various Regression Models
7. An Algorithm for Least-Squares Estimation of Nonlinear Parameters
8. Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables
9. Modeling and forecasting the CO 2 emissions, energy consumption, and economic growth in Brazil
10. A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES

Their papers

• Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections (2014) — 123 citations
• Forecasting Natural Gas Production Using Various Regression Models (2015) — 103 citations
• Energy consumption modeling using artificial neural networks: The case of the world’s highest consumers (2016) — 171 citations
• Regression Models for Forecasting Global Oil Production (2015) — 89 citations