Doğukan Aksu

500 total citations
10 papers, 272 citations indexed

About

Doğukan Aksu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Doğukan Aksu has authored 10 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Artificial Intelligence and 2 papers in Automotive Engineering. Recurrent topics in Doğukan Aksu's work include Network Security and Intrusion Detection (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Smart Agriculture and AI (2 papers). Doğukan Aksu is often cited by papers focused on Network Security and Intrusion Detection (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Smart Agriculture and AI (2 papers). Doğukan Aksu collaborates with scholars based in Türkiye and United States. Doğukan Aksu's co-authors include Muhammed Ali Aydın, H. Kurtuluş Özcan, Atakan Öngen, Emine Elmaslar Özbaş, İsmail Hakkı Toroslu, Hasan Davulcu, Betül Çelik and Hülya Yazıcı and has published in prestigious journals such as International Journal of Hydrogen Energy, Engineering Applications of Artificial Intelligence and Computers & Security.

In The Last Decade

Doğukan Aksu

9 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Doğukan Aksu Türkiye	5	97	74	65	47	44	10	272
Yuanyuan Xu China	9	73 0.8×	38 0.5×	12 0.2×	70 1.5×	24 0.5×	27	294
Ahmed Najat Ahmed Iraq	9	38 0.4×	35 0.5×	53 0.8×	125 2.7×	7 0.2×	18	329
Dinesh Kumar Singh India	10	100 1.0×	18 0.2×	105 1.6×	34 0.7×	4 0.1×	54	301
Amir Reza Ramtin United States	7	17 0.2×	41 0.6×	89 1.4×	11 0.2×	5 0.1×	10	327
Rabiah Badar Pakistan	11	16 0.2×	37 0.5×	15 0.2×	33 0.7×	3 0.1×	41	470
Huzaifa Rauf Pakistan	8	7 0.1×	73 1.0×	30 0.5×	11 0.2×	16 0.4×	21	452
Banar Fareed Ibrahim Iraq	10	26 0.3×	63 0.9×	22 0.3×	78 1.7×	1 0.0×	20	282
Zıyodulla Yusupov Türkiye	11	10 0.1×	31 0.4×	24 0.4×	41 0.9×	3 0.1×	38	291

Countries citing papers authored by Doğukan Aksu

Since Specialization

Citations

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

Fields of papers citing papers by Doğukan Aksu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doğukan Aksu

This figure shows the co-authorship network connecting the top 25 collaborators of Doğukan Aksu. A scholar is included among the top collaborators of Doğukan Aksu 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 Doğukan Aksu. Doğukan Aksu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Aksu, Doğukan, İsmail Hakkı Toroslu, & Hasan Davulcu. (2025). Neighborhood search with heuristic-based feature selection for click-through rate prediction. Engineering Applications of Artificial Intelligence. 146. 110261–110261.

Aksu, Doğukan & Muhammed Ali Aydın. (2022). MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach. Computers & Security. 118. 102717–102717. 23 indexed citations

Yazıcı, Hülya, et al.. (2020). New Approach for Risk Estimation Algorithms of BRCA1/2 Negativeness Detection with Modelling Supervised Machine Learning Techniques. Disease Markers. 2020. 1–7. 2 indexed citations

Aksu, Doğukan & Muhammed Ali Aydın. (2019). A Survey of IoT Architectural Reference Models. 413–417. 3 indexed citations

Özbaş, Emine Elmaslar, Doğukan Aksu, Atakan Öngen, Muhammed Ali Aydın, & H. Kurtuluş Özcan. (2019). Hydrogen production via biomass gasification, and modeling by supervised machine learning algorithms. International Journal of Hydrogen Energy. 44(32). 17260–17268. 167 indexed citations

Aksu, Doğukan, et al.. (2019). Lane Detection for Prototype Autonomous Vehicle. 313–320. 6 indexed citations

Aksu, Doğukan, et al.. (2019). Implementation of Lane Tracking by using Image Processing Techniques in Developed Prototype Autonomous Vehicle. Zenodo (CERN European Organization for Nuclear Research). 11(6). 1–8. 2 indexed citations

Aksu, Doğukan & Muhammed Ali Aydın. (2018). Detecting Port Scan Attempts with Comparative Analysis of Deep Learning and Support Vector Machine Algorithms. 77–80. 55 indexed citations

Aksu, Doğukan, et al.. (2017). Detecting phishing websites using support vector machine algorithm. Pressacademia. 5(1). 139–142. 10 indexed citations

10.

Aksu, Doğukan & Muhammed Ali Aydın. (2017). Human computer interaction by eye blinking on real time. 3. 135–138. 4 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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