Emrah Dokur

543 total citations
43 papers, 374 citations indexed

About

Emrah Dokur is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Emrah Dokur has authored 43 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 10 papers in Automotive Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Emrah Dokur's work include Energy Load and Power Forecasting (25 papers), Electric Vehicles and Infrastructure (11 papers) and Advanced Battery Technologies Research (10 papers). Emrah Dokur is often cited by papers focused on Energy Load and Power Forecasting (25 papers), Electric Vehicles and Infrastructure (11 papers) and Advanced Battery Technologies Research (10 papers). Emrah Dokur collaborates with scholars based in Türkiye, Ireland and United Kingdom. Emrah Dokur's co-authors include Uğur Yüzgeç, Nuh Erdoğan, Mehmet Kurban, Ramazan Bayındır, Jimmy Murphy, Cihan Karakuzu, Sadik Kucuksari, M. Missous, Suat İlhan and Aydoḡan Özdemir and has published in prestigious journals such as Applied Energy, IEEE Access and Energy.

In The Last Decade

Emrah Dokur

38 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emrah Dokur Türkiye 12 287 94 89 60 51 43 374
Y.-R. Chang Taiwan 8 385 1.3× 98 1.0× 44 0.5× 81 1.4× 30 0.6× 22 425
Jinlin Xiong China 7 201 0.7× 101 1.1× 27 0.3× 24 0.4× 31 0.6× 10 317
Zihan Tao China 8 195 0.7× 92 1.0× 30 0.3× 24 0.4× 24 0.5× 9 286
Shuai Hu China 8 318 1.1× 82 0.9× 40 0.4× 35 0.6× 18 0.4× 12 354
Siti Hajar Yusoff Malaysia 13 329 1.1× 32 0.3× 52 0.6× 84 1.4× 33 0.6× 84 465
Noha H. El-Amary Egypt 14 245 0.9× 36 0.4× 50 0.6× 23 0.4× 33 0.6× 49 370
Tianren Zhang China 6 151 0.5× 68 0.7× 40 0.4× 20 0.3× 24 0.5× 15 282
Mohamad Fathi Mohamad Elias Malaysia 9 465 1.6× 62 0.7× 50 0.6× 93 1.6× 56 1.1× 25 527
Nadia Rasheed Pakistan 11 309 1.1× 64 0.7× 89 1.0× 78 1.3× 42 0.8× 22 431
Ahmed Saidi Algeria 8 147 0.5× 120 1.3× 57 0.6× 20 0.3× 196 3.8× 17 337

Countries citing papers authored by Emrah Dokur

Since Specialization
Citations

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

Fields of papers citing papers by Emrah Dokur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emrah Dokur

This figure shows the co-authorship network connecting the top 25 collaborators of Emrah Dokur. A scholar is included among the top collaborators of Emrah Dokur 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 Emrah Dokur. Emrah Dokur 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.
Dokur, Emrah, Nuh Erdoğan, İbrahim Şengör, Uğur Yüzgeç, & Barry Hayes. (2025). Near real-time machine learning framework in distribution networks with low-carbon technologies using smart meter data. Applied Energy. 384. 125433–125433. 1 indexed citations
2.
Dokur, Emrah, Nuh Erdoğan, & Uğur Yüzgeç. (2025). Swarm intelligence-based Multi-Layer Kernel Meta Extreme Learning Machine for tidal current to power prediction. Renewable Energy. 243. 122516–122516. 2 indexed citations
3.
Dokur, Emrah, et al.. (2025). A Hybrid LSTM-Single Candidate Optimizer Model for Short-Term Wind Power Prediction. Computer Modeling in Engineering & Sciences. 144(1). 945–968.
4.
Yüzgeç, Uğur, et al.. (2024). A novel hybrid model based on Empirical Mode Decomposition and Echo State Network for wind power forecasting. Energy. 300. 131546–131546. 39 indexed citations
5.
Dokur, Emrah, et al.. (2024). An integrated methodology for significant wave height forecasting based on multi‐strategy random weighted grey wolf optimizer with swarm intelligence. IET Renewable Power Generation. 18(3). 348–360. 2 indexed citations
6.
Dokur, Emrah, et al.. (2024). Airborne Wind Energy in Turkey with a Focus on Wind Resource Life Cycle Assessment and Techno-Economic Analysis. Elektronika ir Elektrotechnika. 30(4). 35–42.
7.
Dokur, Emrah, et al.. (2024). A Data-Driven Forecasting Model for Active Offenders on Electronic Monitoring Systems in Türkiye. Istanbul University - Journal of Electrical & Electronics Engineering. 24(1). 154–162.
8.
Dokur, Emrah, İbrahim Şengör, Nuh Erdoğan, Uğur Yüzgeç, & Barry Hayes. (2023). Smart Meter Data-Driven Voltage Forecasting Model for a Real Distribution Network Based on SCO-MLP. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1–5.
9.
Dokur, Emrah, et al.. (2023). Multiple decomposition‐aided long short‐term memory network for enhanced short‐term wind power forecasting. IET Renewable Power Generation. 18(3). 331–347. 5 indexed citations
10.
Dokur, Emrah, et al.. (2023). Short-Term Solar Power Forecasting Based on CEEMDAN and Kernel Extreme Learning Machine. Elektronika ir Elektrotechnika. 29(2). 28–34. 2 indexed citations
11.
Dokur, Emrah, et al.. (2023). A coordinated EV Charging Scheduling Containing PV System. 8 indexed citations
12.
13.
Dokur, Emrah, Cihan Karakuzu, Uğur Yüzgeç, & Mehmet Kurban. (2021). Using optimal choice of parameters for meta-extreme learning machine method in wind energy application. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 40(3). 390–401. 2 indexed citations
14.
Dokur, Emrah, et al.. (2020). Energy Management for EV Charging Based on Solar Energy in an Industrial Microgrid. 489–493. 24 indexed citations
15.
Dokur, Emrah. (2020). Swarm Decomposition Technique Based Hybrid Model for Very Short-Term Solar PV Power Generation Forecast. Elektronika ir Elektrotechnika. 26(3). 79–83. 16 indexed citations
16.
Dokur, Emrah, et al.. (2018). Comparative Analysis of Wind Speed Models Using Different Weibull Distributions. Istanbul University - Journal of Electrical & Electronics Engineering. 19(1). 22–28. 1 indexed citations
17.
Kurban, Mehmet, et al.. (2018). A novel information geometry method for estimating parameters of the Weibull wind speed distribution; pp. 39–49. Proceedings of the Estonian Academy of Sciences. 67(1). 39–49. 3 indexed citations
18.
Dokur, Emrah, et al.. (2017). Using a New Method based on Finsler Geometry for Wind Speed Modelling. DergiPark (Istanbul University). 4(3). 109–116. 1 indexed citations
19.
Dokur, Emrah, et al.. (2016). Ulaşım Sistemlerinde Titreşim Tabanlı Enerji Hasadı ve Uygulamalı Analizi. DergiPark (Istanbul University). 1(1). 52–58. 1 indexed citations
20.
Dokur, Emrah, et al.. (2016). Wind Speed Modelling Using Inverse Weibull Distrubition: A Case Study for Bilecik, Turkey. DergiPark (Istanbul University). 3(2). 55–59. 5 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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