Erhan Akın

4.2k total citations · 1 hit paper
151 papers, 3.1k citations indexed

About

Erhan Akın is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Civil and Structural Engineering. According to data from OpenAlex, Erhan Akın has authored 151 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Mechanical Engineering, 40 papers in Industrial and Manufacturing Engineering and 37 papers in Civil and Structural Engineering. Recurrent topics in Erhan Akın's work include Railway Engineering and Dynamics (38 papers), Infrastructure Maintenance and Monitoring (36 papers) and Machine Fault Diagnosis Techniques (23 papers). Erhan Akın is often cited by papers focused on Railway Engineering and Dynamics (38 papers), Infrastructure Maintenance and Monitoring (36 papers) and Machine Fault Diagnosis Techniques (23 papers). Erhan Akın collaborates with scholars based in Türkiye, United States and Italy. Erhan Akın's co-authors include Mehmet Karaköse, İlhan Aydın, Bilal Alataş, Ahmet Bedri Özer, Mehmet Bayğın, Haluk Eren, Alper Yılmaz, Orhan Yaman, Ali Karcı and Hasan Yetış and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Energy Conversion and Management.

In The Last Decade

Erhan Akın

137 papers receiving 3.0k citations

Hit Papers

Chaos embedded particle swarm optimization algorithms 2008 2026 2014 2020 2008 100 200 300 400
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. Chaos embedded particle swarm optimization algorithms
    2008 417 citations Bilal Alataş, Erhan Akın et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erhan Akın Türkiye 29 873 840 618 533 477 151 3.1k
Mehmet Karaköse Türkiye 30 545 0.6× 958 1.1× 675 1.1× 686 1.3× 506 1.1× 247 3.3k
Junjie Xu China 19 1.2k 1.4× 415 0.5× 905 1.5× 255 0.5× 445 0.9× 41 3.2k
Kuangrong Hao China 29 1.2k 1.4× 250 0.3× 611 1.0× 416 0.8× 459 1.0× 262 3.3k
Alaa Khamis Canada 21 948 1.1× 337 0.4× 646 1.0× 265 0.5× 301 0.6× 89 3.1k
İlhan Aydın Türkiye 28 449 0.5× 698 0.8× 392 0.6× 366 0.7× 287 0.6× 144 2.0k
Chenglin Wen China 27 1.1k 1.3× 631 0.8× 1.6k 2.7× 225 0.4× 358 0.8× 245 3.2k
Vladimir Stojanović Serbia 61 1.8k 2.1× 941 1.1× 3.2k 5.2× 471 0.9× 758 1.6× 87 6.9k
Siti Zaiton Mohd Hashim Malaysia 26 1.0k 1.2× 327 0.4× 322 0.5× 225 0.4× 771 1.6× 173 3.0k
Nima Khodadadi United States 32 1.5k 1.7× 200 0.2× 398 0.6× 276 0.5× 563 1.2× 111 3.6k
D. P. Vakharia India 12 2.6k 3.0× 774 0.9× 986 1.6× 455 0.9× 1.4k 3.0× 38 5.6k

Countries citing papers authored by Erhan Akın

Since Specialization
Citations

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

Fields of papers citing papers by Erhan Akın

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erhan Akın

This figure shows the co-authorship network connecting the top 25 collaborators of Erhan Akın. A scholar is included among the top collaborators of Erhan Akın 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 Erhan Akın. Erhan Akın 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, İlhan, et al.. (2025). Enhanced defect detection on steel surfaces using integrated residual refinement module with synthetic data augmentation. Measurement. 250. 117136–117136. 1 indexed citations
2.
Akın, Erhan, et al.. (2024). Kırık Rotor Çubuğu Arızalarının Belirlenmesinde Derin Öğrenme Yaklaşımları ve Motor Akım İmza Analizi. Türk doğa ve fen dergisi :. 13(3). 1–7.
3.
Aydın, İlhan, et al.. (2024). Çelik Yüzeylerdeki Kusurların Tespiti için Topluluk Öğrenme Tabanlı Gelişmiş Segmentasyon Yöntemi. DergiPark (Istanbul University). 12(2). 174–181.
4.
Aydın, İlhan, et al.. (2023). A Deep Learning-Based Hybrid Approach to Detect Fastener Defects in Real-Time. Tehnicki vjesnik - Technical Gazette. 30(5). 2 indexed citations
5.
Aydın, İlhan, et al.. (2023). Autoencoder Based Method for Detection of Steel Wire Defects. 69–74. 1 indexed citations
6.
Akın, Erhan, et al.. (2023). Anomaly Detection in Yarn Tension Signal Using Independent Component Analysis. DergiPark (Istanbul University). 18(1). 33–43.
7.
Akın, Erhan, et al.. (2022). Fastener Classification Using One-Shot Learning with Siamese Convolution Networks. JUCS - Journal of Universal Computer Science. 28(1). 80–97. 4 indexed citations
8.
Aydın, İlhan, et al.. (2022). A New Mobile Segmentation Network Approach for Defect Detection of Rail Surface. 8. 702–706. 1 indexed citations
9.
Aydın, İlhan, et al.. (2021). DEFECT CLASSIFICATION OF RAILWAY FASTENERS USING IMAGE PREPROCESSING AND A LIGHTWEIGHT CONVOLUTIONAL NEURAL NETWORK. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 2 indexed citations
10.
Karaköse, Mehmet, Mehmet Bayğın, Koray Şener Parlak, Nursena Bayğın, & Erhan Akın. (2018). A Novel Reconfiguration Method Using Image Processing Based Moving Shadow Detection, Optimization, and Analysis for PV Arrays.. Journal of information science and engineering. 34. 1307–1328. 6 indexed citations
11.
Karaköse, Mehmet, et al.. (2017). A vision based traffic light detection and recognition approach for intelligent vehicles. 424–429. 17 indexed citations
12.
Karaköse, Mehmet, et al.. (2017). Deep learning based Arc detection in pantograph-catenary systems. International Conference on Electrical and Electronics Engineering. 17 indexed citations
13.
Karaköse, Mehmet, et al.. (2017). A New Computer Vision Based Method for Rail Track Detection and Fault Diagnosis in Railways. International Journal of Mechanical Engineering and Robotics Research. 22–27. 66 indexed citations
14.
Karaköse, Mehmet, et al.. (2016). Random forest based diagnosis approach for rail fault inspection in railways. 28 indexed citations
15.
16.
Aydın, İlhan, Mehmet Karaköse, & Erhan Akın. (2014). Monitoring of pantograph-catenary interaction by using particle swarm based contact wire tracking. International Conference on Systems, Signals and Image Processing. 23–26. 13 indexed citations
17.
Eren, Haluk, et al.. (2012). Estimating driving behavior by a smartphone. 234–239. 226 indexed citations
18.
Aydın, İlhan, Mehmet Karaköse, & Erhan Akın. (2009). KIRIK ROTOR ÇUBUĞU VE STATOR ARIZALARININ TEŞHİSİNDE YAPAY SİNİR AĞI YAKLAŞIMI. DergiPark (Istanbul University). 25(1). 134–149.
19.
Özer, Ahmet Bedri & Erhan Akın. (2005). TOOLS FOR DETECTING CHAOS. DergiPark (Istanbul University). 9(1). 60–66. 7 indexed citations
20.
Alataş, Bilal, et al.. (2004). A NEW APPROACH TO STREAM CIPHER: UNSYSTEMATIC CIPHER. DergiPark (Istanbul University). 4(1). 1057–1062. 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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