Ömer Faruk Alçin

947 total citations
39 papers, 685 citations indexed

About

Ömer Faruk Alçin is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Ömer Faruk Alçin has authored 39 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 12 papers in Artificial Intelligence and 8 papers in Biomedical Engineering. Recurrent topics in Ömer Faruk Alçin's work include EEG and Brain-Computer Interfaces (15 papers), Machine Learning and ELM (10 papers) and Blind Source Separation Techniques (6 papers). Ömer Faruk Alçin is often cited by papers focused on EEG and Brain-Computer Interfaces (15 papers), Machine Learning and ELM (10 papers) and Blind Source Separation Techniques (6 papers). Ömer Faruk Alçin collaborates with scholars based in Türkiye, Australia and United States. Ömer Faruk Alçin's co-authors include Abdulkadir Şengür, Siuly Siuly, Yanchun Zhang, Varun Bajaj, Yanhui Guo, Hua Wang, Ferhat Uçar, Beşir Dandıl, Enamul Kabir and Frank Whittaker and has published in prestigious journals such as IEEE Access, Neurocomputing and Applied Soft Computing.

In The Last Decade

Ömer Faruk Alçin

36 papers receiving 668 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ömer Faruk Alçin Türkiye 16 365 138 134 121 105 39 685
Mohammad-Parsa Hosseini United States 11 457 1.3× 110 0.8× 108 0.8× 99 0.8× 146 1.4× 14 766
Sugondo Hadiyoso Indonesia 14 284 0.8× 109 0.8× 170 1.3× 77 0.6× 122 1.2× 150 729
Zeming Fan China 14 326 0.9× 74 0.5× 68 0.5× 157 1.3× 101 1.0× 44 826
Khalil AlSharabi Saudi Arabia 14 409 1.1× 79 0.6× 116 0.9× 128 1.1× 94 0.9× 25 723
A. Sharmila India 13 454 1.2× 75 0.5× 115 0.9× 91 0.8× 250 2.4× 51 689
Ali Farzamnia Malaysia 15 321 0.9× 125 0.9× 56 0.4× 226 1.9× 102 1.0× 88 880
Mitul Kumar Ahirwal India 15 311 0.9× 129 0.9× 148 1.1× 62 0.5× 204 1.9× 65 678
Mohd Zuki Yusoff Malaysia 14 390 1.1× 78 0.6× 82 0.6× 127 1.0× 149 1.4× 87 667
Mingai Li China 18 533 1.5× 141 1.0× 54 0.4× 148 1.2× 205 2.0× 94 807
Temel Kayıkçıoğlu Türkiye 13 396 1.1× 111 0.8× 97 0.7× 73 0.6× 128 1.2× 82 676

Countries citing papers authored by Ömer Faruk Alçin

Since Specialization
Citations

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

Fields of papers citing papers by Ömer Faruk Alçin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ömer Faruk Alçin. 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 Ömer Faruk Alçin. The network helps show where Ömer Faruk Alçin may publish in the future.

Co-authorship network of co-authors of Ömer Faruk Alçin

This figure shows the co-authorship network connecting the top 25 collaborators of Ömer Faruk Alçin. A scholar is included among the top collaborators of Ömer Faruk Alçin 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 Ömer Faruk Alçin. Ömer Faruk Alçin 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.
Alçin, Ömer Faruk, et al.. (2025). SolPowNet: Dust Detection on Photovoltaic Panels Using Convolutional Neural Networks. Electronics. 14(21). 4230–4230.
2.
Alçin, Ömer Faruk, Deniz Korkmaz, & Hakan Açıkgöz. (2025). Feature fusion-based hand gesture classification with time-domain descriptors and multi-level deep attention network. Applied Soft Computing. 178. 113375–113375. 1 indexed citations
3.
Alçin, Ömer Faruk, et al.. (2024). Transfer Öğrenme Yaklaşımı Kullanılarak İzolatör Kusurlarının Tespiti. DÜMF Mühendislik Dergisi.
4.
Siuly, Siuly, Yanhui Guo, Ömer Faruk Alçin, et al.. (2023). Exploring deep residual network based features for automatic schizophrenia detection from EEG. Physical and Engineering Sciences in Medicine. 46(2). 561–574. 32 indexed citations
5.
Alçin, Ömer Faruk, et al.. (2023). A NEW ARTIFICIAL INTELLIGENCE-BASED CLINICAL DECISION SUPPORT SYSTEM FOR DIAGNOSIS OF MAJOR PSYCHIATRIC DISEASES BASED ON VOICE ANALYSIS. Psychiatria Danubina. 35(4). 489–499. 3 indexed citations
6.
Siddique, Kamran, et al.. (2022). Wavelet ELM-AE Based Data Augmentation and Deep Learning for Efficient Emotion Recognition Using EEG Recordings. IEEE Access. 10. 72171–72181. 19 indexed citations
7.
Alçin, Ömer Faruk, et al.. (2022). A Lung Sound Classification System Based on Data Augmenting Using ELM-Wavelet-AE. DergiPark (Istanbul University). 17(1). 79–88. 4 indexed citations
8.
Alçin, Ömer Faruk, et al.. (2022). EMG Sinyalleri Kullanılarak GoogLeNet ve Çok Seviyeli DPD ile El Tutma Hareketlerinin Sınıflandırılması. Fırat Üniversitesi Mühendislik Bilimleri Dergisi. 34(1). 33–43. 2 indexed citations
9.
Alçin, Ömer Faruk, et al.. (2022). Deep learning model developed by multiparametric MRI in differential diagnosis of parotid gland tumors. European Archives of Oto-Rhino-Laryngology. 279(11). 5389–5399. 18 indexed citations
10.
Sobahi, Nebras, et al.. (2022). Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals. Computers in Biology and Medicine. 143. 105311–105311. 40 indexed citations
11.
Siuly, Siuly, Yan Li, Peng Wen, & Ömer Faruk Alçin. (2022). SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia. Computational Intelligence and Neuroscience. 2022. 1–13. 18 indexed citations
12.
Alçin, Ömer Faruk. (2020). Approach based on wavelet packet transform and 1D‐RMLBP for drowsiness detection using EEG. Electronics Letters. 56(25). 1378–1381. 2 indexed citations
13.
Alçin, Ömer Faruk. (2020). Fraktal Eğimden Arındırılmış Dalgalılık Analizi ve Pencereli Kare Ortalamanın Karekökü Tabanlı EMG Sınıflandırma. Fırat Üniversitesi Mühendislik Bilimleri Dergisi. 32(2). 359–368. 3 indexed citations
14.
Alçin, Ömer Faruk, et al.. (2019). Automatic digital modulation classification using extreme learning machine with local binary pattern histogram features. Measurement. 145. 214–225. 43 indexed citations
15.
Uçar, Ferhat, et al.. (2018). Power Quality Event Detection Using a Fast Extreme Learning Machine. Energies. 11(1). 145–145. 48 indexed citations
16.
Uçar, Ferhat, et al.. (2018). Online power quality events detection using weighted Extreme Learning Machine. 39–43. 4 indexed citations
17.
Alçin, Ömer Faruk, Ferhat Uçar, & Deniz Korkmaz. (2016). Extreme learning machine based robotic arm modeling. 1160–1163. 7 indexed citations
18.
Aslan, Muzaffer, Ömer Faruk Alçin, Abdulkadir Şengür, & M. Cevdet İnce. (2015). Fall detection with depth-videos. 18. 443–446. 2 indexed citations
19.
Alçin, Ömer Faruk, Abdulkadir Şengür, Jiang Qian, & M. Cevdet İnce. (2014). OMP-ELM: Orthogonal Matching Pursuit-Based Extreme Learning Machine for Regression. Journal of Intelligent Systems. 24(1). 135–143. 12 indexed citations
20.
Şengür, Abdulkadir, et al.. (2014). A Novel Edge Detection Algorithm Based on Texture Feature Coding. Journal of Intelligent Systems. 24(2). 235–248. 7 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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