Seçkin Karasu

2.7k total citations · 5 hit papers
21 papers, 2.3k citations indexed

About

Seçkin Karasu is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Civil and Structural Engineering. According to data from OpenAlex, Seçkin Karasu has authored 21 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 7 papers in Management Science and Operations Research and 4 papers in Civil and Structural Engineering. Recurrent topics in Seçkin Karasu's work include Energy Load and Power Forecasting (9 papers), Power Quality and Harmonics (8 papers) and Stock Market Forecasting Methods (7 papers). Seçkin Karasu is often cited by papers focused on Energy Load and Power Forecasting (9 papers), Power Quality and Harmonics (8 papers) and Stock Market Forecasting Methods (7 papers). Seçkin Karasu collaborates with scholars based in Türkiye, Italy and Canada. Seçkin Karasu's co-authors include Aytaç Altan, Stelios Bekiros, Enrico Zio, Wasim Ahmad, Zehra Saraç, Rıfat Hacıoğlu and Mehmet Pekkaya and has published in prestigious journals such as Energy, Applied Soft Computing and Chaos Solitons & Fractals.

In The Last Decade

Seçkin Karasu

21 papers receiving 2.2k citations

Hit Papers

A new hybrid model for wind speed forecasting combining l... 2019 2026 2021 2023 2020 2020 2019 2020 2021 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer
    2020 505 citations Aytaç Altan, Seçkin Karasu et al. Applied Soft Computing profile →
  2. A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series
    2020 425 citations Seçkin Karasu, Aytaç Altan et al. Energy profile →
  3. Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques
    2019 323 citations Aytaç Altan, Seçkin Karasu et al. Chaos Solitons & Fractals profile →
  4. Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique
    2020 296 citations Aytaç Altan, Seçkin Karasu Chaos Solitons & Fractals profile →
  5. Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization
    2021 182 citations Seçkin Karasu, Aytaç Altan Energy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seçkin Karasu Türkiye 14 747 561 483 327 248 21 2.3k
Muhammad Hisyam Lee Malaysia 28 806 1.1× 557 1.0× 576 1.2× 139 0.4× 421 1.7× 153 3.5k
Neda Tavakoli United States 8 472 0.6× 474 0.8× 376 0.8× 129 0.4× 116 0.5× 21 1.9k
Aytaç Altan Türkiye 25 850 1.1× 827 1.5× 520 1.1× 355 1.1× 741 3.0× 48 3.8k
Haoyi Zhou China 8 819 1.1× 1.1k 2.0× 633 1.3× 126 0.4× 366 1.5× 35 3.3k
H. S. Behera India 28 483 0.6× 1.1k 1.9× 488 1.0× 147 0.4× 335 1.4× 114 2.7k
Sima Siami‐Namini United States 10 476 0.6× 423 0.8× 382 0.8× 263 0.8× 125 0.5× 34 1.9k
Wancai Zhang China 5 799 1.1× 1.0k 1.8× 623 1.3× 125 0.4× 358 1.4× 12 3.2k
Weiwei Jiang China 28 650 0.9× 691 1.2× 390 0.8× 129 0.4× 329 1.3× 153 3.3k
Jianxin Li China 14 847 1.1× 1.2k 2.1× 634 1.3× 127 0.4× 408 1.6× 50 3.7k
Ioannis E. Livieris Greece 22 256 0.3× 680 1.2× 500 1.0× 283 0.9× 77 0.3× 76 2.0k

Countries citing papers authored by Seçkin Karasu

Since Specialization
Citations

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

Fields of papers citing papers by Seçkin Karasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seçkin Karasu

This figure shows the co-authorship network connecting the top 25 collaborators of Seçkin Karasu. A scholar is included among the top collaborators of Seçkin Karasu 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 Seçkin Karasu. Seçkin Karasu 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.
Karasu, Seçkin. (2025). Mum Çubuğu Grafik Gösterimi, Minimum Artıklık Maksimum İlgililik Algoritması ve XGBoost Modeline Dayalı Rüzgâr Hızı Tahmini. DÜMF Mühendislik Dergisi. 16(1). 13–25. 1 indexed citations
2.
Pekkaya, Mehmet, et al.. (2024). Artificial intelligence-based evaluation of the factors affecting the sales of an iron and steel company. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 32(1). 51–67. 28 indexed citations
3.
4.
Karasu, Seçkin, Aytaç Altan, Stelios Bekiros, & Wasim Ahmad. (2020). A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series. Energy. 212. 118750–118750. 425 indexed citations breakdown →
5.
Altan, Aytaç & Seçkin Karasu. (2020). Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique. Chaos Solitons & Fractals. 140. 110071–110071. 296 indexed citations breakdown →
6.
Altan, Aytaç, Seçkin Karasu, & Enrico Zio. (2020). A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer. Applied Soft Computing. 100. 106996–106996. 505 indexed citations breakdown →
7.
Karasu, Seçkin & Zehra Saraç. (2020). Classification of power quality disturbances by 2D-Riesz Transform, multi-objective grey wolf optimizer and machine learning methods. Digital Signal Processing. 101. 102711–102711. 43 indexed citations
8.
Altan, Aytaç & Seçkin Karasu. (2020). Ayrıştırma Yöntemlerinin Derin Öğrenme Algoritması ile Tanımlanan Rüzgâr Hızı Tahmin Modeli Başarımına Etkisinin İncelenmesi. European Journal of Science and Technology. 7 indexed citations
9.
Altan, Aytaç & Seçkin Karasu. (2019). THE EFFECT OF KERNEL VALUES IN SUPPORT VECTOR MACHINE TO FORECASTING PERFORMANCE OF FINANCIAL TIME SERIES. DergiPark (Istanbul University). 4(1). 17–21. 77 indexed citations
10.
Karasu, Seçkin & Zehra Saraç. (2019). Güç Kalitesi Bozulmalarının Hilbert-Huang Dönüşümü, Genetik Algoritma Ve Yapay Zeka/Makine Öğrenmesi Yöntemleri İle Sınıflandırılması. Journal of Polytechnic. 23(4). 1219–1229. 5 indexed citations
11.
Karasu, Seçkin & Aytaç Altan. (2019). Recognition Model for Solar Radiation Time Series based on Random Forest with Feature Selection Approach. Zonguldak Bülent Ecevit University Institutional Repository. 8–11. 110 indexed citations
12.
Altan, Aytaç, Seçkin Karasu, & Stelios Bekiros. (2019). Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques. Chaos Solitons & Fractals. 126. 325–336. 323 indexed citations breakdown →
13.
14.
Karasu, Seçkin, Aytaç Altan, Zehra Saraç, & Rıfat Hacıoğlu. (2018). Prediction of Bitcoin prices with machine learning methods using time series data. Zonguldak Bülent Ecevit University Institutional Repository. 1–4. 79 indexed citations
15.
Karasu, Seçkin & Zehra Saraç. (2018). Classification of power quality events signals with pattern recognition methods by using Hilbert transform and genetic algorithms. Zonguldak Bülent Ecevit University Institutional Repository. 1–4. 4 indexed citations
16.
Karasu, Seçkin & Zehra Saraç. (2018). Investigation of power quality disturbances by using 2D discrete orthonormal S-transform, machine learning and multi-objective evolutionary algorithms. Swarm and Evolutionary Computation. 44. 1060–1072. 35 indexed citations
17.
Karasu, Seçkin, Aytaç Altan, Zehra Saraç, & Rıfat Hacıoğlu. (2017). ESTIMATION OF FAST VARIED WIND SPEED BASED ON NARX NEURAL NETWORK BY USING CURVE FITTING. DergiPark (Istanbul University). 4(3). 137–146. 54 indexed citations
18.
Karasu, Seçkin, Aytaç Altan, Zehra Saraç, & Rıfat Hacıoğlu. (2017). Prediction of wind speed with non-linear autoregressive (NAR) neural networks. Zonguldak Bülent Ecevit University Institutional Repository. 1–4. 58 indexed citations
19.
Karasu, Seçkin & Zehra Saraç. (2017). Classification of power quality disturbances with S-transform and artificial neural networks method. Zonguldak Bülent Ecevit University Institutional Repository. 1–4. 7 indexed citations
20.
Karasu, Seçkin, et al.. (2016). Classification of power quality disturbances by using ensemble technique. Zonguldak Bülent Ecevit University Institutional Repository. 529–532. 11 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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